Add files using upload-large-folder tool
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- .gitattributes +5 -0
- CylinderKnMa/Kn0p30/simulation0628_Kn0p30Ma4p7/output/grid.300000.dat +3 -0
- CylinderKnMa/Kn0p30/simulation0629_Kn0p30Ma4p8/output/grid.300000.dat +3 -0
- CylinderKnMa/Kn0p30/simulation0630_Kn0p30Ma4p9/output/grid.300000.dat +3 -0
- CylinderKnMa/Kn0p30/simulation0631_Kn0p30Ma5p0/output/grid.300000.dat +3 -0
- CylinderKnMa/Kn0p30/simulation0632_Kn0p30Ma5p1/output/grid.300000.dat +3 -0
- CylinderKnMa/Kn0p34/simulation0742_Kn0p34Ma6p1/Lambda/Lambda_0_300000.vtu +0 -0
- CylinderKnMa/Kn0p34/simulation0742_Kn0p34Ma6p1/Lambda/Lambda_1_300000.vtu +27 -0
- CylinderKnMa/Kn0p34/simulation0742_Kn0p34Ma6p1/Lambda/Lambda_2_300000.vtu +27 -0
- CylinderKnMa/Kn0p34/simulation0742_Kn0p34Ma6p1/Lambda/Lambda_300000.pvtu +21 -0
- CylinderKnMa/Kn0p34/simulation0742_Kn0p34Ma6p1/Lambda/Lambda_3_300000.vtu +27 -0
- CylinderKnMa/Kn0p34/simulation0742_Kn0p34Ma6p1/grid/Grid_300000.pvtu +29 -0
- CylinderKnMa/Kn0p34/simulation0742_Kn0p34Ma6p1/grid/Grid_3_300000.vtu +35 -0
- CylinderKnMa/Kn0p34/simulation0742_Kn0p34Ma6p1/output/lambdakn.300000.dat +0 -0
- CylinderKnMa/Kn0p34/simulation0742_Kn0p34Ma6p1/output/surf.300000.dat +209 -0
- CylinderKnMa/Kn0p34/simulation0742_Kn0p34Ma6p1/surf/Surf_300000.vtu +38 -0
- CylinderKnMa/Kn0p34/simulation0742_Kn0p34Ma6p1/surf/geom.surf +610 -0
- CylinderKnMa/Kn0p34/simulation0743_Kn0p34Ma6p2/Grid.pvd +9 -0
- CylinderKnMa/Kn0p34/simulation0743_Kn0p34Ma6p2/Lambda.pvd +9 -0
- CylinderKnMa/Kn0p34/simulation0743_Kn0p34Ma6p2/Lambda/Lambda_0_300000.vtu +0 -0
- CylinderKnMa/Kn0p34/simulation0743_Kn0p34Ma6p2/Lambda/Lambda_1_300000.vtu +27 -0
- CylinderKnMa/Kn0p34/simulation0743_Kn0p34Ma6p2/Lambda/Lambda_2_300000.vtu +27 -0
- CylinderKnMa/Kn0p34/simulation0743_Kn0p34Ma6p2/Lambda/Lambda_300000.pvtu +21 -0
- CylinderKnMa/Kn0p34/simulation0743_Kn0p34Ma6p2/Lambda/Lambda_3_300000.vtu +27 -0
- CylinderKnMa/Kn0p34/simulation0743_Kn0p34Ma6p2/Surf.pvd +9 -0
- CylinderKnMa/Kn0p34/simulation0743_Kn0p34Ma6p2/config.txt +78 -0
- CylinderKnMa/Kn0p34/simulation0743_Kn0p34Ma6p2/cylinder.surf +410 -0
- CylinderKnMa/Kn0p34/simulation0743_Kn0p34Ma6p2/gas.species +14 -0
- CylinderKnMa/Kn0p34/simulation0743_Kn0p34Ma6p2/gas.vhs +9 -0
- CylinderKnMa/Kn0p34/simulation0743_Kn0p34Ma6p2/grid/Grid_0_300000.vtu +0 -0
- CylinderKnMa/Kn0p34/simulation0743_Kn0p34Ma6p2/grid/Grid_1_300000.vtu +0 -0
- CylinderKnMa/Kn0p34/simulation0743_Kn0p34Ma6p2/grid/Grid_2_300000.vtu +35 -0
- CylinderKnMa/Kn0p34/simulation0743_Kn0p34Ma6p2/grid/Grid_300000.pvtu +29 -0
- CylinderKnMa/Kn0p34/simulation0743_Kn0p34Ma6p2/grid/Grid_3_300000.vtu +35 -0
- CylinderKnMa/Kn0p34/simulation0743_Kn0p34Ma6p2/grid/final-grid.dat +0 -0
- CylinderKnMa/Kn0p34/simulation0743_Kn0p34Ma6p2/log.sparta +319 -0
- CylinderKnMa/Kn0p34/simulation0743_Kn0p34Ma6p2/mir.txt +3 -0
- CylinderKnMa/Kn0p34/simulation0743_Kn0p34Ma6p2/output/lambdakn.300000.dat +0 -0
- CylinderKnMa/Kn0p34/simulation0743_Kn0p34Ma6p2/output/surf.300000.dat +209 -0
- CylinderKnMa/Kn0p34/simulation0743_Kn0p34Ma6p2/runmpirun128.sh +18 -0
- CylinderKnMa/Kn0p34/simulation0743_Kn0p34Ma6p2/runmpirun64.sh +18 -0
- CylinderKnMa/Kn0p34/simulation0743_Kn0p34Ma6p2/slurm-28429791.out +205 -0
- CylinderKnMa/Kn0p34/simulation0743_Kn0p34Ma6p2/surf/Surf_300000.vtu +38 -0
- CylinderKnMa/Kn0p34/simulation0743_Kn0p34Ma6p2/surf/geom.surf +610 -0
- CylinderKnMa/Kn0p34/simulation0744_Kn0p34Ma6p3/Grid.pvd +9 -0
- CylinderKnMa/Kn0p34/simulation0744_Kn0p34Ma6p3/Lambda.pvd +9 -0
- CylinderKnMa/Kn0p34/simulation0744_Kn0p34Ma6p3/Lambda/Lambda_0_300000.vtu +0 -0
- CylinderKnMa/Kn0p34/simulation0744_Kn0p34Ma6p3/Lambda/Lambda_1_300000.vtu +27 -0
- CylinderKnMa/Kn0p34/simulation0744_Kn0p34Ma6p3/Lambda/Lambda_2_300000.vtu +27 -0
- CylinderKnMa/Kn0p34/simulation0744_Kn0p34Ma6p3/Lambda/Lambda_300000.pvtu +21 -0
.gitattributes
CHANGED
|
@@ -479,3 +479,8 @@ CylinderKnMa/Kn0p30/simulation0624_Kn0p30Ma4p3/output/grid.300000.dat filter=lfs
|
|
| 479 |
CylinderKnMa/Kn0p30/simulation0625_Kn0p30Ma4p4/output/grid.300000.dat filter=lfs diff=lfs merge=lfs -text
|
| 480 |
CylinderKnMa/Kn0p30/simulation0626_Kn0p30Ma4p5/output/grid.300000.dat filter=lfs diff=lfs merge=lfs -text
|
| 481 |
CylinderKnMa/Kn0p30/simulation0627_Kn0p30Ma4p6/output/grid.300000.dat filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 479 |
CylinderKnMa/Kn0p30/simulation0625_Kn0p30Ma4p4/output/grid.300000.dat filter=lfs diff=lfs merge=lfs -text
|
| 480 |
CylinderKnMa/Kn0p30/simulation0626_Kn0p30Ma4p5/output/grid.300000.dat filter=lfs diff=lfs merge=lfs -text
|
| 481 |
CylinderKnMa/Kn0p30/simulation0627_Kn0p30Ma4p6/output/grid.300000.dat filter=lfs diff=lfs merge=lfs -text
|
| 482 |
+
CylinderKnMa/Kn0p30/simulation0628_Kn0p30Ma4p7/output/grid.300000.dat filter=lfs diff=lfs merge=lfs -text
|
| 483 |
+
CylinderKnMa/Kn0p30/simulation0629_Kn0p30Ma4p8/output/grid.300000.dat filter=lfs diff=lfs merge=lfs -text
|
| 484 |
+
CylinderKnMa/Kn0p30/simulation0630_Kn0p30Ma4p9/output/grid.300000.dat filter=lfs diff=lfs merge=lfs -text
|
| 485 |
+
CylinderKnMa/Kn0p30/simulation0631_Kn0p30Ma5p0/output/grid.300000.dat filter=lfs diff=lfs merge=lfs -text
|
| 486 |
+
CylinderKnMa/Kn0p30/simulation0632_Kn0p30Ma5p1/output/grid.300000.dat filter=lfs diff=lfs merge=lfs -text
|
CylinderKnMa/Kn0p30/simulation0628_Kn0p30Ma4p7/output/grid.300000.dat
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c4318eb1dd9cc74012886b88704671aed1659d7efb85f7d8d034511873e96f60
|
| 3 |
+
size 13968164
|
CylinderKnMa/Kn0p30/simulation0629_Kn0p30Ma4p8/output/grid.300000.dat
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3443ad3ff43f14e7fe341361c26d31ce02f3543e84a6f874b40310122e181a3c
|
| 3 |
+
size 13968164
|
CylinderKnMa/Kn0p30/simulation0630_Kn0p30Ma4p9/output/grid.300000.dat
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2ec5e60afdee6ef9b2fc83aba515d6fac048c4666f09b3c9b50217aa4b07eed1
|
| 3 |
+
size 13968164
|
CylinderKnMa/Kn0p30/simulation0631_Kn0p30Ma5p0/output/grid.300000.dat
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:70c02b6d5be21cf0fa7d22cef76d6ac9ac64e980723129e9a0e7366dfdb58893
|
| 3 |
+
size 13968164
|
CylinderKnMa/Kn0p30/simulation0632_Kn0p30Ma5p1/output/grid.300000.dat
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f63cbe5a5b2fd39d60160dee9b98c8129113540a97c52d47b0b6698a04aa9956
|
| 3 |
+
size 13968164
|
CylinderKnMa/Kn0p34/simulation0742_Kn0p34Ma6p1/Lambda/Lambda_0_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p34/simulation0742_Kn0p34Ma6p1/Lambda/Lambda_1_300000.vtu
ADDED
|
@@ -0,0 +1,27 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
<?xml version="1.0"?>
|
| 2 |
+
<VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
|
| 3 |
+
<UnstructuredGrid>
|
| 4 |
+
<Piece NumberOfPoints="3030" NumberOfCells="2900" >
|
| 5 |
+
<PointData>
|
| 6 |
+
</PointData>
|
| 7 |
+
<CellData>
|
| 8 |
+
<DataArray type="Float64" Name="id" format="appended" RangeMin="101" RangeMax="12900" offset="0" />
|
| 9 |
+
<DataArray type="Float64" Name="xc" format="appended" RangeMin="3.5698" RangeMax="5.9574" offset="5692" />
|
| 10 |
+
<DataArray type="Float64" Name="yc" format="appended" RangeMin="-4.9573" RangeMax="3.5043" offset="6236" />
|
| 11 |
+
<DataArray type="Float64" Name="c_6[1]" format="appended" RangeMin="0.015964" RangeMax="0.077688" offset="7132" />
|
| 12 |
+
<DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.18722" RangeMax="0.91107" offset="33132" />
|
| 13 |
+
</CellData>
|
| 14 |
+
<Points>
|
| 15 |
+
<DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="3.5273906772" RangeMax="7.8102496759" offset="53116" />
|
| 16 |
+
</Points>
|
| 17 |
+
<Cells>
|
| 18 |
+
<DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="62164" />
|
| 19 |
+
<DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="81120" />
|
| 20 |
+
<DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="86268" />
|
| 21 |
+
</Cells>
|
| 22 |
+
</Piece>
|
| 23 |
+
</UnstructuredGrid>
|
| 24 |
+
<AppendedData encoding="base64">
|
| 25 |
+
_AQAAAACAAACgWgAAmxAAAA==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AQAAAACAAACgWgAAjAIAAA==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AQAAAACAAACgWgAAGkwAAA==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eJztwSEBAAAAwyC9/oUf4hYoAADgMdglZfU=
|
| 26 |
+
</AppendedData>
|
| 27 |
+
</VTKFile>
|
CylinderKnMa/Kn0p34/simulation0742_Kn0p34Ma6p1/Lambda/Lambda_2_300000.vtu
ADDED
|
@@ -0,0 +1,27 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
<?xml version="1.0"?>
|
| 2 |
+
<VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
|
| 3 |
+
<UnstructuredGrid>
|
| 4 |
+
<Piece NumberOfPoints="1818" NumberOfCells="1700" >
|
| 5 |
+
<PointData>
|
| 6 |
+
</PointData>
|
| 7 |
+
<CellData>
|
| 8 |
+
<DataArray type="Float64" Name="id" format="appended" RangeMin="12901" RangeMax="15064" offset="0" />
|
| 9 |
+
<DataArray type="Float64" Name="xc" format="appended" RangeMin="-4.9574" RangeMax="3.4845" offset="2984" />
|
| 10 |
+
<DataArray type="Float64" Name="yc" format="appended" RangeMin="3.5897" RangeMax="4.9573" offset="4152" />
|
| 11 |
+
<DataArray type="Float64" Name="c_6[1]" format="appended" RangeMin="0.01627" RangeMax="0.030214" offset="4472" />
|
| 12 |
+
<DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.1908" RangeMax="0.35433" offset="12580" />
|
| 13 |
+
</CellData>
|
| 14 |
+
<Points>
|
| 15 |
+
<DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="3.5471440458" RangeMax="7.0710678119" offset="20696" />
|
| 16 |
+
</Points>
|
| 17 |
+
<Cells>
|
| 18 |
+
<DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="26852" />
|
| 19 |
+
<DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="39156" />
|
| 20 |
+
<DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="42224" />
|
| 21 |
+
</Cells>
|
| 22 |
+
</Piece>
|
| 23 |
+
</UnstructuredGrid>
|
| 24 |
+
<AppendedData encoding="base64">
|
| 25 |
+
_AQAAAACAAAAgNQAAqwgAAA==eJw11jUYGNZ5RuFjZmZmO2m3NjGImZnBkiVLhqTd2sTMzMyMSbsGzIyyLTMzO2nXNjG76qNXd3mf883/cKtO/acVw/r/98+rPZX9QrNfanagZgdpdrBmh2g2QLOBmg3SbLBmQzQbqtkwzYZrNkKzkZqN0my0ZmM0G6vZOM3GazZBs4maTdJssmZTNJuq2TTNpms2Q7OZms3SbLZmczSbq9k8zeZrtkCzhZodqtkizRZrdphmSzRbqtnhmi3TbDn/zc7+XbPfaPZbzY7R7FjNjtPseM1O0OxEzU7S7GTNTtHsVM1O0+x0zc7Q7EzNztLsbM3O0exczc7T7HzNLtDsQs0u0uxizS7R7FLNLtPscs2u0OxKza7S7GrNrtHsWs2u0+x6zW7Q7EbNbtLsZs1u0exWzW7T7HbN7tDsTr3GP9j/qNmfNPuzZvdodq9m92l2v2YPaPagZg9p9rBmj2j2qGaPafa4Zk9o9qRmT2n2tGbPaPasZis0e06z5zV7QbOVmr2o2UuavazZK5q9qtlrmr2u2RuavanZW5q9rdk7mr2r2Xuava/ZB5p9qNlHmn2s2SeafarZZ5p9rtkX/B87+1/N/qbZ3zX7WrNvNPtWs+80+16zHzT7UbOfNFcd3upma2m2tmbraLauZutptr5mG2i2oWYbabaxZptotqlmm2m2uWZbaLalZltptrVm22i2rWbbaba9ZjtotqNmO2m2s2a7aLarZrtptrtme2i2p2Z7aba3Zvtotq9m++k1/sL+S80O1OwgzQ7W7BDNBmg2ULNBmg3WbIhmQzUbptlwzUZoNlKzUZqN1myMZmM1G6fZeM0maDZRs0maTdZsimZTNZum2XTNZmg2U7NZms3WbI5mczWbp9l8zRZotlCzQzVbpNlizQ7TbIlmSzU7XLNlmi3X7AjNjuRv7Oy3mh2j2bGaHafZ8ZqdoNmJmp2k2cmanaK56oOyutlpmp2u2RmananZWZqdrdk5mp2r2Xmana/ZBZpdqNlFml2s2SWaXarZZZpdrtkVml2p2VWaXa3ZNZpdq9l1ml2v2Q2a3ajZTZrdrNktmt2q2W2a3a7ZHZrdqdldmt2t1/gn+581u0ezezW7T7P7NXtAswc1e0izhzV7RLNHNXtMs8c1e0KzJzV7SrOnNXtGs2c1W6HZc5o9r9kLmq3U7EXNXtLsZc1e0exVzV7T7HXN3tDsTc3e0uxtzd7R7F3N3tPsfc0+0OxDzT7S7GPNPtHsU80+0+xzzb7Q7EvNvuLf7Ozvmn2t2TeafavZd5p9r9kPmv2o2U+aqw5tdbO1NFtbs3U0W1ez9TRbX7MNNNtQs40021izTTTbVLPNNNtcsy0021KzrTTbWrNtNNtWs+00216zHTTbUbOdNNtZs10021Wz3TTbXbM9NNtTs70021uzfTTbV7P9NNtfswP0Gg+0H6TZwZodotkAzQZqNkizwZoN0WyoZsM0G67ZCM1GajZKs9GajdFsrGbjNBuv2QTNJmo2SbPJmk3RbKpm0zSbrtkMzWZqNkuz2ZrN0WyuZvM0m6/ZAs0WanaoZos0W6zZYZot0WypZodrtkyz5ZododmRmh2l2dE8xs6O1ew4zY7X7ATNTtTsJM1O1uwUzVUfktXNTtPsdM3O0OxMzc7S7GzNztHsXM3O0+x8zS7Q7ELNLtLsYs0u0exSzS7T7HLNrtDsSs2u0uxqza7R7FrNrtPses1u0OxGzW7S7GbNbtHsVs1u0+x2ze7Q7E7N7tLsbs1+p9nv9Rrvsd+r2X2a3a/ZA5o9qNlDmj2s2SOaParZY5o9rtkTmj2p2VOaPa3ZM5o9q9kKzZ7T7HnNXtBspWYvavaSZi9r9opmr2r2mmava/aGZm9q9pZmb2v2jmbvavaeZu9r9oFmH2r2kWYfa/aJZp9q9plmn2v2hWZfavaVZn/R7K/82s6+0exbzb7T7HvNftDsR81+0lx1WKubraXZ2pqto9m6mq2n2fqabaDZhpptpNnGmm2i2aaababZ5pptodmWmm2l2daabaPZtpptp9n2mu2g2Y6a7aTZzprtotmumu2m2e6a7aHZnprtpdnemu2j2b6a7afZ/podoNnPNPu5XuPB9kM0G6DZQM0GaTZYsyGaDdVsmGbDNRuh2UjNRmk2WrMxmo3VbJxm4zWboNlEzSZpNlmzKZpN1WyaZtM1m6HZTM1maTZbszmazdVsnmbzNVug2ULNDtVskWaLNTtMsyWaLdXscM2WabZcsyM0O1KzozQ7WrNfafZrHmdnx2t2gmYnanaSZidrdormqg/I6manaXa6ZmdodqZmZ2l2tmbnaHauZudpdr5mF2h2oWYXaXaxZpdodqlml2l2uWZXaHalZldpdrVm12h2rWbXaXa9ZjdodqNmN2l2s2a3aHarZrdpdrtmd2h2p2Z3aXa3Zr/T7Pea/Ydm/6nXeJ/9fs0e0OxBzR7S7GHNHtHsUc0e0+xxzZ7Q7EnNntLsac2e0exZzVZo9pxmz2v2gmYrNXtRs5c0e1mzVzR7VbPXNHtdszc0e1OztzR7W7N3NHtXs/c0e1+zDzT7ULOPNPtYs080+1SzzzT7XLMvNPtSs680+4tmf9XsvzT7b35rZ99p9r1mP2j2o2Y/aa46pNXN1tJsbc3W0WxdzdbTbH3NNtBsQ8020mxjzTbRbFPNNtNsc8220GxLzbbSbGvNttFsW82202x7zXbQbEfNdtJsZ8120WxXzXbTbHfN9tBsT8320mxvzfbRbF/N9tNsf80O0Oxnmv1cs3/Q7B/1GgfYB2o2SLPBmg3RbKhmwzQbrtkIzUZqNkqz0ZqN0WysZuM0G6/ZBM0majZJs8maTdFsqmbTNJuu2QzNZmo2S7PZms3RbK5m8zSbr9kCzRZqdqhmizRbrNlhmi3RbKlmh2u2TLPlmh2h2ZGaHaXZ0Zr9SrNfa/Yvmv3rymH/B7Dxsj4=AQAAAACAAAAgNQAAWgMAAA==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eJzt1T1LAgEcwOGIBiH1XiQQBJdwkMOpL2CDObU6CjUo16DggTS0nE0NTg5CnHLc5hYpaE6CREOEUMotLjeFjbfdZrv/j/Cbno/wKM6FN5nGiwoiHujr4eWqlkBEQffpJdidJRFR0Dxq2ifviCgZufXxn6UgomBw2ht1NBURBUvlVqSYiCjZ7Tf0xwUiSobf17dqWkNEwUqy8DpoIqLksJr/VD8QUfL4OZYZZnVEFKxvfu+MNiJK/icyn30homTqZvlj5FKIKHjveOdvD4goufVt62qNiJJ7jC93YA==AQAAAACAAAAgNQAArRcAAA==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AQAAAACAAAAgNQAAtRcAAA==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AQAAAACAAAAgNQAA6ggAAA==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AQAAAACAAACkBgAAFgAAAA==eJzj5BwFo2AUjIJRMAoGJwAAoOg7xQ==
|
| 26 |
+
</AppendedData>
|
| 27 |
+
</VTKFile>
|
CylinderKnMa/Kn0p34/simulation0742_Kn0p34Ma6p1/Lambda/Lambda_300000.pvtu
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
<?xml version="1.0"?>
|
| 2 |
+
<VTKFile type="PUnstructuredGrid" version="0.1"
|
| 3 |
+
byte_order="LittleEndian"
|
| 4 |
+
compressor="vtkZLibDataCompressor">
|
| 5 |
+
<PUnstructuredGrid GhostLevel="0">
|
| 6 |
+
<PCellData>
|
| 7 |
+
<PDataArray type="Float64" Name="id"/>
|
| 8 |
+
<PDataArray type="Float64" Name="xc"/>
|
| 9 |
+
<PDataArray type="Float64" Name="yc"/>
|
| 10 |
+
<PDataArray type="Float64" Name="c_6[1]"/>
|
| 11 |
+
<PDataArray type="Float64" Name="c_6[2]"/>
|
| 12 |
+
</PCellData>
|
| 13 |
+
<PPoints>
|
| 14 |
+
<PDataArray type="Float32" Name="Points" NumberOfComponents="3"/>
|
| 15 |
+
</PPoints>
|
| 16 |
+
<Piece Source="Lambda_0_300000.vtu"/>
|
| 17 |
+
<Piece Source="Lambda_1_300000.vtu"/>
|
| 18 |
+
<Piece Source="Lambda_2_300000.vtu"/>
|
| 19 |
+
<Piece Source="Lambda_3_300000.vtu"/>
|
| 20 |
+
</PUnstructuredGrid>
|
| 21 |
+
</VTKFile>
|
CylinderKnMa/Kn0p34/simulation0742_Kn0p34Ma6p1/Lambda/Lambda_3_300000.vtu
ADDED
|
@@ -0,0 +1,27 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
<?xml version="1.0"?>
|
| 2 |
+
<VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
|
| 3 |
+
<UnstructuredGrid>
|
| 4 |
+
<Piece NumberOfPoints="540" NumberOfCells="493" >
|
| 5 |
+
<PointData>
|
| 6 |
+
</PointData>
|
| 7 |
+
<CellData>
|
| 8 |
+
<DataArray type="Float64" Name="id" format="appended" RangeMin="13001" RangeMax="15093" offset="0" />
|
| 9 |
+
<DataArray type="Float64" Name="xc" format="appended" RangeMin="3.5698" RangeMax="5.9574" offset="892" />
|
| 10 |
+
<DataArray type="Float64" Name="yc" format="appended" RangeMin="3.5897" RangeMax="4.9573" offset="1296" />
|
| 11 |
+
<DataArray type="Float64" Name="c_6[1]" format="appended" RangeMin="0.015978" RangeMax="0.029965" offset="1540" />
|
| 12 |
+
<DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.18738" RangeMax="0.35141" offset="6248" />
|
| 13 |
+
</CellData>
|
| 14 |
+
<Points>
|
| 15 |
+
<DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="5.00219233" RangeMax="7.8102496759" offset="10644" />
|
| 16 |
+
</Points>
|
| 17 |
+
<Cells>
|
| 18 |
+
<DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="12316" />
|
| 19 |
+
<DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="15612" />
|
| 20 |
+
<DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="16576" />
|
| 21 |
+
</Cells>
|
| 22 |
+
</Piece>
|
| 23 |
+
</UnstructuredGrid>
|
| 24 |
+
<AppendedData encoding="base64">
|
| 25 |
+
_AQAAAACAAABoDwAAiwIAAA==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eJyTE8vy/dzH42DLdX1xgS2vw9QrnBlKb3gd3s6z0bkyi8/BJTP/Q6snv0NK7B035h/8Dvcmt7dGBQs4cP5ckL55lYCDZPF1oU+Mgg6uNz588YoUdCgEGbRB0GHOIuWdf9iFHNbIRKVYxws53GgsdpuyTciB5XmPxlteYQfhxMOXtVOFHeyP3dnaskfYIVv72/S7wiIO0yfwV5llizgs43JTLT0k4nApP579nKSow78rFS/VCkUd+PzXT0k9IepgueVE2T55MYdUyUcR4uViDhPrflsVnBNzWPjD8Nk6VXGHM7HeJ9hrxR1+HEpZlXBF3EFu1J+j/hz156g/R/056s9Rf476c9Sfo/4c9eeoP0f9OepPOvgTANBWU0Y=AQAAAACAAABoDwAApQAAAA==eJzjn2O8aMt2Hgf+YU5fF/rkeD6Nd9jTCzo3PHwpyjfs6UyG/EaWo8Of/rkgffOrYv5hTz/knryySVBg2NOu7kU/+TOHP907PU+o+cDwpz9d8k0SkBAc9nQYn+6mufnDn54Xp3la4Pjwp5lmcUjPkxMa9nT61edZ2mXDnwZG6q4dZ4c/LZx4+LK2qvCwpyvmLFLeWTP86TvXG4vdrgx/GgBVFzmoAQAAAACAAABoDwAAtw0AAA==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AQAAAACAAABoDwAAzgwAAA==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AQAAAACAAABQGQAA0wQAAA==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AQAAAACAAACgPQAAlgkAAA==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AQAAAACAAADtAQAADgAAAA==eJzj5BwFIwYAALvgEVY=
|
| 26 |
+
</AppendedData>
|
| 27 |
+
</VTKFile>
|
CylinderKnMa/Kn0p34/simulation0742_Kn0p34Ma6p1/grid/Grid_300000.pvtu
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
<?xml version="1.0"?>
|
| 2 |
+
<VTKFile type="PUnstructuredGrid" version="0.1"
|
| 3 |
+
byte_order="LittleEndian"
|
| 4 |
+
compressor="vtkZLibDataCompressor">
|
| 5 |
+
<PUnstructuredGrid GhostLevel="0">
|
| 6 |
+
<PCellData>
|
| 7 |
+
<PDataArray type="Float64" Name="id"/>
|
| 8 |
+
<PDataArray type="Float64" Name="xc"/>
|
| 9 |
+
<PDataArray type="Float64" Name="yc"/>
|
| 10 |
+
<PDataArray type="Float64" Name="f_1[1]"/>
|
| 11 |
+
<PDataArray type="Float64" Name="f_1[2]"/>
|
| 12 |
+
<PDataArray type="Float64" Name="f_1[3]"/>
|
| 13 |
+
<PDataArray type="Float64" Name="f_1[4]"/>
|
| 14 |
+
<PDataArray type="Float64" Name="f_1[5]"/>
|
| 15 |
+
<PDataArray type="Float64" Name="f_1[6]"/>
|
| 16 |
+
<PDataArray type="Float64" Name="f_1[7]"/>
|
| 17 |
+
<PDataArray type="Float64" Name="f_1[8]"/>
|
| 18 |
+
<PDataArray type="Float64" Name="f_1[9]"/>
|
| 19 |
+
<PDataArray type="Float64" Name="f_1[10]"/>
|
| 20 |
+
</PCellData>
|
| 21 |
+
<PPoints>
|
| 22 |
+
<PDataArray type="Float32" Name="Points" NumberOfComponents="3"/>
|
| 23 |
+
</PPoints>
|
| 24 |
+
<Piece Source="Grid_0_300000.vtu"/>
|
| 25 |
+
<Piece Source="Grid_1_300000.vtu"/>
|
| 26 |
+
<Piece Source="Grid_2_300000.vtu"/>
|
| 27 |
+
<Piece Source="Grid_3_300000.vtu"/>
|
| 28 |
+
</PUnstructuredGrid>
|
| 29 |
+
</VTKFile>
|
CylinderKnMa/Kn0p34/simulation0742_Kn0p34Ma6p1/grid/Grid_3_300000.vtu
ADDED
|
@@ -0,0 +1,35 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
<?xml version="1.0"?>
|
| 2 |
+
<VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
|
| 3 |
+
<UnstructuredGrid>
|
| 4 |
+
<Piece NumberOfPoints="540" NumberOfCells="493" >
|
| 5 |
+
<PointData>
|
| 6 |
+
</PointData>
|
| 7 |
+
<CellData>
|
| 8 |
+
<DataArray type="Float64" Name="id" format="appended" RangeMin="13001" RangeMax="15093" offset="0" />
|
| 9 |
+
<DataArray type="Float64" Name="xc" format="appended" RangeMin="3.5698" RangeMax="5.9574" offset="892" />
|
| 10 |
+
<DataArray type="Float64" Name="yc" format="appended" RangeMin="3.5897" RangeMax="4.9573" offset="1296" />
|
| 11 |
+
<DataArray type="Float64" Name="f_1[1]" format="appended" RangeMin="30.074" RangeMax="77.802" offset="1540" />
|
| 12 |
+
<DataArray type="Float64" Name="f_1[2]" format="appended" RangeMin="4.451e+19" RangeMax="1.1515e+20" offset="4412" />
|
| 13 |
+
<DataArray type="Float64" Name="f_1[3]" format="appended" RangeMin="2.951e-06" RangeMax="7.6343e-06" offset="9308" />
|
| 14 |
+
<DataArray type="Float64" Name="f_1[4]" format="appended" RangeMin="1637" RangeMax="1879.9" offset="14284" />
|
| 15 |
+
<DataArray type="Float64" Name="f_1[5]" format="appended" RangeMin="-1.8637" RangeMax="461.95" offset="15968" />
|
| 16 |
+
<DataArray type="Float64" Name="f_1[6]" format="appended" RangeMin="-3.5465" RangeMax="2.5727" offset="19072" />
|
| 17 |
+
<DataArray type="Float64" Name="f_1[7]" format="appended" RangeMin="0.16664" RangeMax="1.4197" offset="23740" />
|
| 18 |
+
<DataArray type="Float64" Name="f_1[8]" format="appended" RangeMin="270.98" RangeMax="901.16" offset="28024" />
|
| 19 |
+
<DataArray type="Float64" Name="f_1[9]" format="appended" RangeMin="0" RangeMax="0" offset="30244" />
|
| 20 |
+
<DataArray type="Float64" Name="f_1[10]" format="appended" RangeMin="0" RangeMax="0" offset="30304" />
|
| 21 |
+
</CellData>
|
| 22 |
+
<Points>
|
| 23 |
+
<DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="5.00219233" RangeMax="7.8102496759" offset="30364" />
|
| 24 |
+
</Points>
|
| 25 |
+
<Cells>
|
| 26 |
+
<DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="32036" />
|
| 27 |
+
<DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="35332" />
|
| 28 |
+
<DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="36296" />
|
| 29 |
+
</Cells>
|
| 30 |
+
</Piece>
|
| 31 |
+
</UnstructuredGrid>
|
| 32 |
+
<AppendedData encoding="base64">
|
| 33 |
+
_AQAAAACAAABoDwAAiwIAAA==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eJyTE8vy/dzH42DLdX1xgS2vw9QrnBlKb3gd3s6z0bkyi8/BJTP/Q6snv0NK7B035h/8Dvcmt7dGBQs4cP5ckL55lYCDZPF1oU+Mgg6uNz588YoUdCgEGbRB0GHOIuWdf9iFHNbIRKVYxws53GgsdpuyTciB5XmPxlteYQfhxMOXtVOFHeyP3dnaskfYIVv72/S7wiIO0yfwV5llizgs43JTLT0k4nApP579nKSow78rFS/VCkUd+PzXT0k9IepgueVE2T55MYdUyUcR4uViDhPrflsVnBNzWPjD8Nk6VXGHM7HeJ9hrxR1+HEpZlXBF3EFu1J+j/hz156g/R/056s9Rf476c9Sfo/4c9eeoP0f9OepPOvgTANBWU0Y=AQAAAACAAABoDwAApQAAAA==eJzjn2O8aMt2Hgf+YU5fF/rkeD6Nd9jTCzo3PHwpyjfs6UyG/EaWo8Of/rkgffOrYv5hTz/knryySVBg2NOu7kU/+TOHP907PU+o+cDwpz9d8k0SkBAc9nQYn+6mufnDn54Xp3la4Pjwp5lmcUjPkxMa9nT61edZ2mXDnwZG6q4dZ4c/LZx4+LK2qvCwpyvmLFLeWTP86TvXG4vdrgx/GgBVFzmoAQAAAACAAABoDwAAWAgAAA==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AQAAAACAAABoDwAAgg4AAA==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AQAAAACAAABoDwAABAkAAA==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AQAAAACAAABoDwAAmw0AAA==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eJztwTEBAAAAwqD1T20JT6AAAACAlwEPaAABAQAAAACAAABoDwAAGwAAAA==eJztwTEBAAAAwqD1T20JT6AAAACAlwEPaAABAQAAAACAAABQGQAA0wQAAA==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AQAAAACAAACgPQAAlgkAAA==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AQAAAACAAADtAQAADgAAAA==eJzj5BwFIwYAALvgEVY=
|
| 34 |
+
</AppendedData>
|
| 35 |
+
</VTKFile>
|
CylinderKnMa/Kn0p34/simulation0742_Kn0p34Ma6p1/output/lambdakn.300000.dat
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p34/simulation0742_Kn0p34Ma6p1/output/surf.300000.dat
ADDED
|
@@ -0,0 +1,209 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
ITEM: TIMESTEP
|
| 2 |
+
300000
|
| 3 |
+
ITEM: NUMBER OF SURFS
|
| 4 |
+
200
|
| 5 |
+
ITEM: BOX BOUNDS oo oo pp
|
| 6 |
+
-5 6
|
| 7 |
+
-5 5
|
| 8 |
+
-0.5 0.5
|
| 9 |
+
ITEM: SURFS id v1x v1y v2x v2y f_2[1] f_2[2] f_2[3] f_2[4] f_2[5] f_2[6] f_2[7] f_2[8] f_2[9] f_2[10] f_2[11]
|
| 10 |
+
1 0.5 0 0.49975 -0.015705 0.00204 0.061368 -0.061361 0.00096393 1.7891e-05 0.0011389 -0.00096353 3.303e-05 15.818 0 0
|
| 11 |
+
129 -0.31871 0.38526 -0.30645 0.39508 0.14299 4.6841 2.9287 -3.6556 0.74074 0.59344 0.057637 -0.048099 1478.9 0 0
|
| 12 |
+
2 0.49975 -0.015705 0.49901 -0.031395 0.00222 0.066965 -0.066891 0.0031545 0.00018774 0.003981 -0.0010477 0.00011208 18.507 0 0
|
| 13 |
+
130 -0.30645 0.39508 -0.29389 0.40451 0.13555 4.4509 2.6724 -3.5594 0.80177 0.60199 0.054571 -0.046452 1439.3 0 0
|
| 14 |
+
3 0.49901 -0.031395 0.49778 -0.047054 0.00242 0.074174 -0.073946 0.0058196 0.00041997 0.0053363 -0.0011549 0.00017523 23.946 0 0
|
| 15 |
+
131 -0.29389 0.40451 -0.28104 0.41354 0.12945 4.2413 2.4388 -3.4701 0.77075 0.54169 0.050413 -0.045997 1370.5 0 0
|
| 16 |
+
4 0.49778 -0.047054 0.49606 -0.062667 0.00223 0.068423 -0.06801 0.0075084 0.000579 0.0052445 -0.0010592 0.00020031 18.721 0 0
|
| 17 |
+
132 -0.28104 0.41354 -0.26791 0.42216 0.12481 4.0725 2.2359 -3.4038 0.84286 0.55366 0.048359 -0.044768 1340 0 0
|
| 18 |
+
5 0.49606 -0.062667 0.49384 -0.078217 0.00226 0.06718 -0.06651 0.0094657 6.8174e-05 0.00047902 -0.0010436 0.00015621 17.488 0 0
|
| 19 |
+
133 -0.26791 0.42216 -0.25452 0.43037 0.11465 3.767 1.9683 -3.2119 0.78039 0.47822 0.043174 -0.042939 1228.2 0 0
|
| 20 |
+
6 0.49384 -0.078217 0.49114 -0.093691 0.0024 0.070008 -0.068966 0.012036 -0.00023432 -0.0013426 -0.0010869 0.00016797 21.215 0 0
|
| 21 |
+
134 -0.25452 0.43037 -0.24088 0.43815 0.10925 3.5777 1.7726 -3.1077 0.81402 0.46431 0.040629 -0.04152 1195.1 0 0
|
| 22 |
+
7 0.49114 -0.093691 0.48796 -0.10907 0.00217 0.064583 -0.063241 0.013097 0.00020842 0.0010064 -0.00099008 0.00022152 18.584 0 0
|
| 23 |
+
135 -0.24088 0.43815 -0.227 0.4455 0.10296 3.3855 1.5842 -2.992 0.79144 0.41905 0.037315 -0.040414 1142 0 0
|
| 24 |
+
8 0.48796 -0.10907 0.48429 -0.12434 0.00265 0.074636 -0.072574 0.017423 -0.00011307 -0.00047099 -0.0011417 0.00026628 20.844 0 0
|
| 25 |
+
136 -0.227 0.4455 -0.21289 0.45241 0.09634 3.1591 1.3898 -2.837 0.80632 0.39501 0.034495 -0.038356 1071.2 0 0
|
| 26 |
+
9 0.48429 -0.12434 0.48015 -0.1395 0.00223 0.066787 -0.06442 0.017623 0.0016882 0.0061711 -0.00098535 0.00037375 21.81 0 0
|
| 27 |
+
137 -0.21289 0.45241 -0.19857 0.45888 0.08989 2.9108 1.1979 -2.653 0.74215 0.33509 0.030472 -0.036407 978.67 0 0
|
| 28 |
+
10 0.48015 -0.1395 0.47553 -0.15451 0.00212 0.058976 -0.056368 0.017341 0.0030622 0.0099539 -0.0008373 0.00042873 18.156 0 0
|
| 29 |
+
138 -0.19857 0.45888 -0.18406 0.46489 0.08584 2.802 1.0723 -2.5887 0.76326 0.31615 0.028831 -0.035695 963.5 0 0
|
| 30 |
+
11 0.47553 -0.15451 0.47044 -0.16937 0.00188 0.05357 -0.050682 0.017352 0.0018338 0.0053561 -0.00076727 0.00035669 14.284 0 0
|
| 31 |
+
139 -0.18406 0.46489 -0.16937 0.47044 0.08065 2.6472 0.93573 -2.4763 0.76029 0.28729 0.02664 -0.034384 934.48 0 0
|
| 32 |
+
12 0.47044 -0.16937 0.46489 -0.18406 0.0019 0.05278 -0.049373 0.018656 0.0047394 0.012542 -0.00070107 0.00049005 17.025 0 0
|
| 33 |
+
140 -0.16937 0.47044 -0.15451 0.47553 0.07314 2.3628 0.76535 -2.2354 0.72219 0.24726 0.023365 -0.031229 813.02 0 0
|
| 34 |
+
13 0.46489 -0.18406 0.45888 -0.19857 0.00197 0.056177 -0.051901 0.021498 0.0031768 0.0076694 -0.00076532 0.00045814 14.892 0 0
|
| 35 |
+
141 -0.15451 0.47553 -0.1395 0.48015 0.07102 2.3116 0.6797 -2.2094 0.70851 0.21797 0.021805 -0.03128 789.34 0 0
|
| 36 |
+
14 0.45888 -0.19857 0.45241 -0.21289 0.00216 0.061352 -0.055917 0.025247 0.0055341 0.012257 -0.00079137 0.00058909 19.651 0 0
|
| 37 |
+
142 -0.1395 0.48015 -0.12434 0.48429 0.06649 2.1698 0.57256 -2.0929 0.71672 0.19607 0.020251 -0.029795 759.39 0 0
|
| 38 |
+
15 0.45241 -0.21289 0.4455 -0.227 0.00213 0.057548 -0.05168 0.025318 0.00649 0.013248 -0.00070981 0.00060576 19.244 0 0
|
| 39 |
+
143 -0.12434 0.48429 -0.10907 0.48796 0.06032 1.9357 0.45189 -1.8823 0.68691 0.16491 0.017887 -0.026975 679.59 0 0
|
| 40 |
+
16 0.4455 -0.227 0.43815 -0.24088 0.00215 0.058342 -0.051561 0.0273 0.0064377 0.012159 -0.00070876 0.00061979 17.769 0 0
|
| 41 |
+
144 -0.10907 0.48796 -0.093691 0.49114 0.05641 1.8224 0.36955 -1.7845 0.66703 0.13813 0.016282 -0.02586 650.29 0 0
|
| 42 |
+
17 0.43815 -0.24088 0.43037 -0.25452 0.00183 0.050785 -0.044113 0.025162 0.0075044 0.013157 -0.00057503 0.00060188 16.831 0 0
|
| 43 |
+
145 -0.093691 0.49114 -0.078217 0.49384 0.05261 1.7019 0.29261 -1.6766 0.64041 0.11177 0.014655 -0.024579 619.59 0 0
|
| 44 |
+
18 0.43037 -0.25452 0.42216 -0.26791 0.00209 0.057626 -0.049135 0.03011 0.012688 0.020705 -0.00057248 0.00079816 22.465 0 0
|
| 45 |
+
146 -0.078217 0.49384 -0.062667 0.49606 0.0484 1.5724 0.22156 -1.5567 0.59508 0.084692 0.012827 -0.023122 581.81 0 0
|
| 46 |
+
19 0.42216 -0.26791 0.41354 -0.28104 0.00206 0.056523 -0.047242 0.031032 0.015225 0.023178 -0.00050291 0.00085149 18.888 0 0
|
| 47 |
+
147 -0.062667 0.49606 -0.047054 0.49778 0.04652 1.4903 0.16353 -1.4813 0.58281 0.064343 0.011723 -0.022256 542.7 0 0
|
| 48 |
+
20 0.41354 -0.28104 0.40451 -0.29389 0.00219 0.060324 -0.049354 0.034687 0.018275 0.026003 -0.00048816 0.00095327 22.473 0 0
|
| 49 |
+
148 -0.047054 0.49778 -0.031395 0.49901 0.04293 1.3711 0.10758 -1.3669 0.57724 0.045429 0.010757 -0.020757 503.77 0 0
|
| 50 |
+
21 0.40451 -0.29389 0.39508 -0.30645 0.0022 0.057786 -0.04621 0.034696 0.025081 0.033405 -0.00033188 0.0010697 27.694 0 0
|
| 51 |
+
149 -0.031395 0.49901 -0.015705 0.49975 0.03865 1.2344 0.058146 -1.233 0.5361 0.025282 0.009334 -0.01897 462.95 0 0
|
| 52 |
+
22 0.39508 -0.30645 0.38526 -0.31871 0.00291 0.077795 -0.060714 0.048641 0.029801 0.037198 -0.00048555 0.0013483 33.421 0 0
|
| 53 |
+
150 -0.015705 0.49975 0 0.5 0.03642 1.1564 0.018164 -1.1562 0.52683 0.0082761 0.0085604 -0.018032 439.99 0 0
|
| 54 |
+
23 0.38526 -0.31871 0.37506 -0.33066 0.00293 0.079729 -0.060627 0.05178 0.030398 0.035591 -0.00047481 0.0013724 30.554 0 0
|
| 55 |
+
151 0 0.5 0.015705 0.49975 0.03424 1.0821 -0.016997 -1.082 0.51212 -0.0080451 0.0077771 -0.017121 416.94 0 0
|
| 56 |
+
24 0.37506 -0.33066 0.36448 -0.34227 0.00309 0.083511 -0.061767 0.056204 0.042161 0.046334 -0.00030797 0.0016106 35.516 0 0
|
| 57 |
+
152 0.015705 0.49975 0.031395 0.49901 0.03077 0.96333 -0.045379 -0.96226 0.4536 -0.021391 0.006412 -0.015451 362.31 0 0
|
| 58 |
+
25 0.36448 -0.34227 0.35355 -0.35355 0.00349 0.096446 -0.06926 0.067118 0.045151 0.046592 -0.00037869 0.0017861 39.649 0 0
|
| 59 |
+
153 0.031395 0.49901 0.047054 0.49778 0.0283 0.89767 -0.070431 -0.89491 0.44723 -0.035197 0.0059184 -0.014609 355.57 0 0
|
| 60 |
+
26 0.35355 -0.35355 0.34227 -0.36448 0.00369 0.10067 -0.070057 0.072293 0.051185 0.049602 -0.00029642 0.0019146 41.752 0 0
|
| 61 |
+
154 0.047054 0.49778 0.062667 0.49606 0.02563 0.79968 -0.087752 -0.79485 0.41157 -0.045437 0.0050862 -0.013199 312.52 0 0
|
| 62 |
+
27 0.34227 -0.36448 0.33066 -0.37506 0.00387 0.10539 -0.07093 0.077951 0.058021 0.052795 -0.00020276 0.0020537 44.393 0 0
|
| 63 |
+
155 0.062667 0.49606 0.078217 0.49384 0.02391 0.75109 -0.10583 -0.7436 0.39596 -0.056354 0.0045572 -0.012565 300.73 0 0
|
| 64 |
+
28 0.33066 -0.37506 0.31871 -0.38526 0.00425 0.115 -0.074684 0.087444 0.069886 0.059688 -7.5369e-05 0.0023111 53.859 0 0
|
| 65 |
+
156 0.078217 0.49384 0.093691 0.49114 0.02234 0.69084 -0.11878 -0.68056 0.37801 -0.065973 0.0040718 -0.011726 279.7 0 0
|
| 66 |
+
29 0.31871 -0.38526 0.30645 -0.39508 0.00467 0.12422 -0.077668 0.096946 0.07259 0.058156 -7.9766e-05 0.0024362 54.852 0 0
|
| 67 |
+
157 0.093691 0.49114 0.10907 0.48796 0.01909 0.59095 -0.11984 -0.57867 0.33063 -0.068469 0.0033109 -0.010165 240.64 0 0
|
| 68 |
+
30 0.30645 -0.39508 0.29389 -0.40451 0.00548 0.15214 -0.091346 0.12166 0.092165 0.069199 1.2852e-05 0.0029979 65.432 0 0
|
| 69 |
+
158 0.10907 0.48796 0.12434 0.48429 0.01757 0.54272 -0.1267 -0.52773 0.30061 -0.07217 0.0027317 -0.0094228 231.92 0 0
|
| 70 |
+
31 0.29389 -0.40451 0.28104 -0.41354 0.00568 0.15962 -0.091783 0.13059 0.09791 0.068812 9.6249e-05 0.0031321 72.24 0 0
|
| 71 |
+
159 0.12434 0.48429 0.1395 0.48015 0.01678 0.51307 -0.13539 -0.49489 0.28582 -0.078191 0.0023629 -0.0090015 210.74 0 0
|
| 72 |
+
32 0.28104 -0.41354 0.26791 -0.42216 0.00646 0.1799 -0.098768 0.15036 0.11961 0.078569 0.00032737 0.0035959 85.049 0 0
|
| 73 |
+
160 0.1395 0.48015 0.15451 0.47553 0.01548 0.45936 -0.13507 -0.43905 0.2813 -0.086538 0.0022969 -0.0082556 189.36 0 0
|
| 74 |
+
33 0.26791 -0.42216 0.25452 -0.43037 0.00688 0.19753 -0.10321 0.16842 0.12418 0.076096 0.00032936 0.0038407 86.501 0 0
|
| 75 |
+
161 0.15451 0.47553 0.16937 0.47044 0.01376 0.41063 -0.13301 -0.38849 0.25314 -0.086669 0.0018869 -0.0074635 179.3 0 0
|
| 76 |
+
34 0.25452 -0.43037 0.24088 -0.43815 0.00761 0.22123 -0.10961 0.19217 0.14766 0.084225 0.0005977 0.0043414 103.1 0 0
|
| 77 |
+
162 0.16937 0.47044 0.18406 0.46489 0.01183 0.35523 -0.12557 -0.3323 0.22328 -0.084372 0.0015349 -0.0065448 156.14 0 0
|
| 78 |
+
35 0.24088 -0.43815 0.227 -0.4455 0.00825 0.23924 -0.11195 0.21143 0.15807 0.083695 0.00072451 0.0046356 106.99 0 0
|
| 79 |
+
163 0.18406 0.46489 0.19857 0.45888 0.01104 0.32497 -0.12436 -0.30023 0.21235 -0.087957 0.0013821 -0.0060974 151.03 0 0
|
| 80 |
+
36 0.227 -0.4455 0.21289 -0.45241 0.00936 0.26729 -0.11759 0.24003 0.17628 0.086357 0.00092179 0.0051267 120.04 0 0
|
| 81 |
+
164 0.19857 0.45888 0.21289 0.45241 0.01031 0.3019 -0.12423 -0.27515 0.19258 -0.086952 0.0010735 -0.0056876 130.9 0 0
|
| 82 |
+
37 0.21289 -0.45241 0.19857 -0.45888 0.0104 0.30696 -0.12632 0.27976 0.18743 0.084626 0.00095984 0.0057236 131.69 0 0
|
| 83 |
+
165 0.21289 0.45241 0.227 0.4455 0.00958 0.27836 -0.12246 -0.24997 0.16896 -0.082771 0.00073035 -0.0052265 117.52 0 0
|
| 84 |
+
38 0.19857 -0.45888 0.18406 -0.46489 0.01091 0.3247 -0.12426 0.29998 0.20764 0.086006 0.0013097 0.0060628 141.21 0 0
|
| 85 |
+
166 0.227 0.4455 0.24088 0.43815 0.0087 0.25183 -0.11784 -0.22256 0.15703 -0.083143 0.00061561 -0.0048017 113.7 0 0
|
| 86 |
+
39 0.18406 -0.46489 0.16937 -0.47044 0.01256 0.37332 -0.13196 0.34922 0.22527 0.085121 0.0014656 0.0068224 157.68 0 0
|
| 87 |
+
167 0.24088 0.43815 0.25452 0.43037 0.0076 0.22112 -0.10956 -0.19207 0.14361 -0.081915 0.00053491 -0.0043036 103.36 0 0
|
| 88 |
+
40 0.16937 -0.47044 0.15451 -0.47553 0.01329 0.40339 -0.13067 0.38164 0.23061 0.078957 0.0015699 0.0072348 168.75 0 0
|
| 89 |
+
168 0.25452 0.43037 0.26791 0.42216 0.00701 0.19731 -0.10309 -0.16823 0.12349 -0.075676 0.00032043 -0.0038311 90.398 0 0
|
| 90 |
+
41 0.15451 -0.47553 0.1395 -0.48015 0.01442 0.43969 -0.12929 0.42026 0.25067 0.077115 0.0019065 0.0078124 181.2 0 0
|
| 91 |
+
169 0.26791 0.42216 0.28104 0.41354 0.00638 0.18318 -0.10057 -0.15311 0.11599 -0.076189 0.00024212 -0.0036016 82.472 0 0
|
| 92 |
+
42 0.1395 -0.48015 0.12434 -0.48429 0.01637 0.50199 -0.13246 0.4842 0.28888 0.079029 0.0024569 0.0088467 202.92 0 0
|
| 93 |
+
170 0.28104 0.41354 0.29389 0.40451 0.00576 0.16244 -0.093402 -0.1329 0.10676 -0.075032 0.00020982 -0.003266 77.416 0 0
|
| 94 |
+
43 0.12434 -0.48429 0.10907 -0.48796 0.01801 0.55436 -0.12941 0.53904 0.30069 0.07219 0.0026903 0.0096008 224.22 0 0
|
| 95 |
+
171 0.29389 0.40451 0.30645 0.39508 0.00501 0.13872 -0.083289 -0.11093 0.083879 -0.062978 9.2711e-06 -0.0027316 63.895 0 0
|
| 96 |
+
44 0.10907 -0.48796 0.093691 -0.49114 0.01974 0.60661 -0.12301 0.594 0.34005 0.070421 0.0034091 0.010436 239.62 0 0
|
| 97 |
+
172 0.30645 0.39508 0.31871 0.38526 0.00524 0.14484 -0.090562 -0.11304 0.087611 -0.07019 -4.6354e-05 -0.002878 67.185 0 0
|
| 98 |
+
45 0.093691 -0.49114 0.078217 -0.49384 0.02307 0.71141 -0.12231 0.70082 0.38725 0.067586 0.0041615 0.01207 286.66 0 0
|
| 99 |
+
173 0.31871 0.38526 0.33066 0.37506 0.004 0.11176 -0.072585 -0.084986 0.065968 -0.056342 -0.00010394 -0.0022199 53.077 0 0
|
| 100 |
+
46 0.078217 -0.49384 0.062667 -0.49606 0.02376 0.74446 -0.1049 0.73704 0.37412 0.053246 0.0042289 0.012413 284.49 0 0
|
| 101 |
+
174 0.33066 0.37506 0.34227 0.36448 0.00366 0.10181 -0.068517 -0.075299 0.05863 -0.053349 -0.0001553 -0.0020207 47.28 0 0
|
| 102 |
+
47 0.062667 -0.49606 0.047054 -0.49778 0.0254 0.79601 -0.08735 0.7912 0.40364 0.044563 0.0049681 0.013128 309.48 0 0
|
| 103 |
+
175 0.34227 0.36448 0.35355 0.35355 0.00331 0.091538 -0.063703 -0.065736 0.045503 -0.044096 -0.00028587 -0.0017252 35.65 0 0
|
| 104 |
+
48 0.047054 -0.49778 0.031395 -0.49901 0.02768 0.8642 -0.067804 0.86154 0.42691 0.033599 0.0056406 0.01406 334.53 0 0
|
| 105 |
+
176 0.35355 0.35355 0.36448 0.34227 0.00337 0.094618 -0.067948 -0.065846 0.04948 -0.05106 -0.00029007 -0.0018363 42.232 0 0
|
| 106 |
+
49 0.031395 -0.49901 0.015705 -0.49975 0.03086 0.96995 -0.045691 0.96887 0.482 0.022731 0.0068533 0.015575 381.79 0 0
|
| 107 |
+
177 0.36448 0.34227 0.37506 0.33066 0.00304 0.081189 -0.06005 -0.054641 0.036921 -0.040576 -0.00036329 -0.0014956 33.317 0 0
|
| 108 |
+
50 0.015705 -0.49975 0 -0.5 0.03359 1.0713 -0.016827 1.0712 0.48895 0.0076811 0.0074158 0.016946 427.41 0 0
|
| 109 |
+
178 0.37506 0.33066 0.38526 0.31871 0.00283 0.075119 -0.057121 -0.048786 0.029979 -0.035101 -0.00042632 -0.0013176 30.352 0 0
|
| 110 |
+
51 0 -0.5 -0.015705 -0.49975 0.03407 1.0931 0.017169 1.093 0.516 -0.008106 0.0083747 0.01704 425.08 0 0
|
| 111 |
+
179 0.38526 0.31871 0.39508 0.30645 0.00245 0.064976 -0.050709 -0.040626 0.028641 -0.03575 -0.00034663 -0.0011997 30.177 0 0
|
| 112 |
+
52 -0.015705 -0.49975 -0.031395 -0.49901 0.03844 1.2158 0.05727 1.2144 0.50662 -0.023892 0.0088572 0.0187 440.06 0 0
|
| 113 |
+
180 0.39508 0.30645 0.40451 0.29389 0.00236 0.06169 -0.049333 -0.03704 0.022476 -0.029936 -0.00042184 -0.001052 24.513 0 0
|
| 114 |
+
53 -0.031395 -0.49901 -0.047054 -0.49778 0.04247 1.3481 0.10577 1.3439 0.57214 -0.045028 0.010648 0.020402 487.9 0 0
|
| 115 |
+
181 0.40451 0.29389 0.41354 0.28104 0.00177 0.047541 -0.038896 -0.027336 0.01555 -0.022125 -0.0003667 -0.00077691 18.828 0 0
|
| 116 |
+
54 -0.047054 -0.49778 -0.062667 -0.49606 0.04506 1.45 0.15911 1.4412 0.58377 -0.064448 0.011669 0.021625 553.49 0 0
|
| 117 |
+
182 0.41354 0.28104 0.42216 0.26791 0.00247 0.066945 -0.055953 -0.036754 0.016729 -0.025468 -0.0006161 -0.00097734 22.365 0 0
|
| 118 |
+
55 -0.062667 -0.49606 -0.078217 -0.49384 0.04928 1.6002 0.22547 1.5842 0.5986 -0.085193 0.012944 0.023546 571.52 0 0
|
| 119 |
+
183 0.42216 0.26791 0.43037 0.25452 0.00208 0.05645 -0.048132 -0.029495 0.015054 -0.024565 -0.00051957 -0.00084914 16.343 0 0
|
| 120 |
+
56 -0.078217 -0.49384 -0.093691 -0.49114 0.05232 1.6807 0.28896 1.6557 0.64951 -0.11336 0.014741 0.024225 610.48 0 0
|
| 121 |
+
184 0.43037 0.25452 0.43815 0.24088 0.0022 0.063933 -0.055534 -0.031676 0.010341 -0.01813 -0.00070986 -0.00078232 22.431 0 0
|
| 122 |
+
57 -0.093691 -0.49114 -0.10907 -0.48796 0.05748 1.8599 0.37717 1.8213 0.67598 -0.13999 0.016542 0.026409 660.78 0 0
|
| 123 |
+
185 0.43815 0.24088 0.4455 0.227 0.00236 0.067813 -0.05993 -0.031732 0.0086297 -0.016299 -0.0008058 -0.00075443 26.683 0 0
|
| 124 |
+
58 -0.10907 -0.48796 -0.12434 -0.48429 0.06236 2.0084 0.46886 1.9529 0.69021 -0.1657 0.018206 0.028073 710.4 0 0
|
| 125 |
+
186 0.4455 0.227 0.45241 0.21289 0.00213 0.057445 -0.051588 -0.025273 0.0081162 -0.016567 -0.00068282 -0.00065719 19.127 0 0
|
| 126 |
+
59 -0.12434 -0.48429 -0.1395 -0.48015 0.0677 2.1902 0.57795 2.1126 0.73134 -0.20007 0.020565 0.030041 774.92 0 0
|
| 127 |
+
187 0.45241 0.21289 0.45888 0.19857 0.00224 0.066237 -0.060369 -0.027258 0.0055409 -0.012272 -0.0008612 -0.0006209 19.153 0 0
|
| 128 |
+
60 -0.1395 -0.48015 -0.15451 -0.47553 0.07179 2.2998 0.67623 2.1981 0.74121 -0.22802 0.022264 0.030945 797.26 0 0
|
| 129 |
+
188 0.45888 0.19857 0.46489 0.18406 0.00191 0.05478 -0.05061 -0.020963 0.0064362 -0.015538 -0.00069385 -0.00057335 19.368 0 0
|
| 130 |
+
61 -0.15451 -0.47553 -0.16937 -0.47044 0.07866 2.5576 0.82846 2.4197 0.74974 -0.25669 0.024789 0.033975 876.78 0 0
|
| 131 |
+
189 0.46489 0.18406 0.47044 0.16937 0.002 0.058607 -0.054824 -0.020716 0.0042059 -0.011131 -0.00079507 -0.00050023 16.268 0 0
|
| 132 |
+
62 -0.16937 -0.47044 -0.18406 -0.46489 0.07954 2.6104 0.92271 2.4419 0.7517 -0.28404 0.026301 0.033894 913.08 0 0
|
| 133 |
+
190 0.47044 0.16937 0.47553 0.15451 0.00205 0.058894 -0.055718 -0.019077 0.0024613 -0.0071889 -0.00083653 -0.00041256 17.64 0 0
|
| 134 |
+
63 -0.18406 -0.46489 -0.19857 -0.45888 0.08706 2.8401 1.0869 2.6239 0.77383 -0.32053 0.029227 0.03618 968.21 0 0
|
| 135 |
+
191 0.47553 0.15451 0.48015 0.1395 0.00206 0.059971 -0.05732 -0.017634 0.0013004 -0.0042269 -0.00087992 -0.00034337 18.86 0 0
|
| 136 |
+
64 -0.19857 -0.45888 -0.21289 -0.45241 0.0917 2.9821 1.2272 2.7179 0.75872 -0.34257 0.031193 0.03731 988.22 0 0
|
| 137 |
+
192 0.48015 0.1395 0.48429 0.12434 0.00218 0.062485 -0.060271 -0.016488 0.0016983 -0.006208 -0.00092001 -0.0003565 15.509 0 0
|
| 138 |
+
65 -0.21289 -0.45241 -0.227 -0.4455 0.09742 3.2104 1.4124 2.8831 0.79535 -0.38964 0.034678 0.039165 1095.5 0 0
|
| 139 |
+
193 0.48429 0.12434 0.48796 0.10907 0.00231 0.067714 -0.065843 -0.015807 0.0021497 -0.0089542 -0.0010004 -0.00038894 20.181 0 0
|
| 140 |
+
66 -0.227 -0.4455 -0.24088 -0.43815 0.10262 3.3196 1.5533 2.9337 0.7817 -0.41389 0.036677 0.03958 1081.7 0 0
|
| 141 |
+
194 0.48796 0.10907 0.49114 0.093691 0.0025 0.071852 -0.070359 -0.014571 -0.00030209 0.0014587 -0.0011099 -0.00020595 21.247 0 0
|
| 142 |
+
67 -0.24088 -0.43815 -0.25452 -0.43037 0.1118 3.6254 1.7962 3.1491 0.77921 -0.44445 0.040453 0.042483 1181.7 0 0
|
| 143 |
+
195 0.49114 0.093691 0.49384 0.078217 0.0023 0.069718 -0.068679 -0.011986 0.0012076 -0.0069195 -0.0010598 -0.00029696 20.03 0 0
|
| 144 |
+
68 -0.25452 -0.43037 -0.26791 -0.42216 0.11756 3.8677 2.0209 3.2978 0.79189 -0.48527 0.044181 0.044177 1283.4 0 0
|
| 145 |
+
196 0.49384 0.078217 0.49606 0.062667 0.00261 0.079314 -0.078522 -0.011175 -3.0101e-05 0.0002115 -0.0012338 -0.00017221 22.34 0 0
|
| 146 |
+
69 -0.26791 -0.42216 -0.28104 -0.41354 0.12055 3.9225 2.1535 3.2784 0.77416 -0.50853 0.045986 0.043507 1286.9 0 0
|
| 147 |
+
197 0.49606 0.062667 0.49778 0.047054 0.00236 0.073126 -0.072685 -0.0080245 0.00031722 -0.0028733 -0.0011367 -0.00017118 19.59 0 0
|
| 148 |
+
70 -0.28104 -0.41354 -0.29389 -0.40451 0.12976 4.2419 2.4391 3.4705 0.77981 -0.54806 0.05056 0.045903 1376.8 0 0
|
| 149 |
+
198 0.49778 0.047054 0.49901 0.031395 0.00227 0.067355 -0.067147 -0.0052846 -0.00021557 0.0027391 -0.0010581 -3.9983e-05 17.399 0 0
|
| 150 |
+
71 -0.29389 -0.40451 -0.30645 -0.39508 0.13584 4.4466 2.6698 3.5559 0.80753 -0.60631 0.05462 0.046329 1437.6 0 0
|
| 151 |
+
199 0.49901 0.031395 0.49975 0.015705 0.00257 0.077962 -0.077875 -0.0036725 3.543e-05 -0.00075129 -0.0012227 -6.9486e-05 21.824 0 0
|
| 152 |
+
72 -0.30645 -0.39508 -0.31871 -0.38526 0.14409 4.7088 2.9442 3.6749 0.74182 -0.59431 0.057897 0.048388 1467.3 0 0
|
| 153 |
+
200 0.49975 0.015705 0.5 0 0.00237 0.070604 -0.070596 -0.001109 4.4936e-05 -0.0028605 -0.0011082 -6.235e-05 15.273 0 0
|
| 154 |
+
73 -0.31871 -0.38526 -0.33066 -0.37506 0.15095 4.9372 3.2065 3.7543 0.75452 -0.64442 0.062217 0.048848 1549.5 0 0
|
| 155 |
+
74 -0.33066 -0.37506 -0.34227 -0.36448 0.15828 5.1521 3.4675 3.8107 0.7149 -0.65051 0.065694 0.049638 1619.9 0 0
|
| 156 |
+
75 -0.34227 -0.36448 -0.35355 -0.35355 0.16623 5.434 3.7816 3.9023 0.70869 -0.68677 0.070531 0.050508 1682.2 0 0
|
| 157 |
+
76 -0.35355 -0.35355 -0.36448 -0.34227 0.17386 5.6875 4.0843 3.958 0.68923 -0.71123 0.07498 0.050998 1787.2 0 0
|
| 158 |
+
77 -0.36448 -0.34227 -0.37506 -0.33066 0.18237 5.9629 4.4104 4.0131 0.62724 -0.68933 0.079127 0.052208 1825.4 0 0
|
| 159 |
+
78 -0.37506 -0.33066 -0.38526 -0.31871 0.18711 6.1258 4.6581 3.9784 0.64175 -0.75139 0.083246 0.050687 1894.3 0 0
|
| 160 |
+
79 -0.38526 -0.31871 -0.39508 -0.30645 0.19779 6.4059 4.9993 4.0052 0.61092 -0.76255 0.088122 0.050934 1954 0 0
|
| 161 |
+
80 -0.39508 -0.30645 -0.40451 -0.29389 0.20425 6.6548 5.3217 3.9957 0.57759 -0.76927 0.092662 0.050678 2040.3 0 0
|
| 162 |
+
81 -0.40451 -0.29389 -0.41354 -0.28104 0.21078 6.8988 5.6442 3.9668 0.54738 -0.77884 0.097254 0.050075 2119.8 0 0
|
| 163 |
+
82 -0.41354 -0.28104 -0.42216 -0.26791 0.21398 6.9921 5.8441 3.8388 0.49846 -0.75883 0.099624 0.048379 2142 0 0
|
| 164 |
+
83 -0.42216 -0.26791 -0.43037 -0.25452 0.22593 7.3867 6.2982 3.8596 0.4482 -0.73139 0.10597 0.049135 2255.4 0 0
|
| 165 |
+
84 -0.43037 -0.25452 -0.43815 -0.24088 0.23348 7.5775 6.582 3.7543 0.39962 -0.70061 0.10966 0.047966 2247.4 0 0
|
| 166 |
+
85 -0.43815 -0.24088 -0.4455 -0.227 0.23673 7.7291 6.8307 3.6167 0.36821 -0.69543 0.11308 0.045885 2328.2 0 0
|
| 167 |
+
86 -0.4455 -0.227 -0.45241 -0.21289 0.2443 8.0219 7.2039 3.5291 0.34 -0.69403 0.11849 0.044532 2441.8 0 0
|
| 168 |
+
87 -0.45241 -0.21289 -0.45888 -0.19857 0.2491 8.0884 7.3718 3.3285 0.29287 -0.64863 0.12039 0.042094 2391.5 0 0
|
| 169 |
+
88 -0.45888 -0.19857 -0.46489 -0.18406 0.25652 8.3729 7.7356 3.2042 0.25626 -0.61866 0.12553 0.040612 2509.9 0 0
|
| 170 |
+
89 -0.46489 -0.18406 -0.47044 -0.16937 0.26336 8.5948 8.0399 3.038 0.21394 -0.56617 0.12965 0.038826 2561 0 0
|
| 171 |
+
90 -0.47044 -0.16937 -0.47553 -0.15451 0.26777 8.7221 8.2519 2.8252 0.20173 -0.58921 0.13278 0.035122 2577.8 0 0
|
| 172 |
+
91 -0.47553 -0.15451 -0.48015 -0.1395 0.27426 8.9125 8.5185 2.6206 0.16583 -0.53905 0.13641 0.032696 2608.3 0 0
|
| 173 |
+
92 -0.48015 -0.1395 -0.48429 -0.12434 0.27237 8.925 8.6087 2.3551 0.15249 -0.55739 0.13761 0.028237 2730 0 0
|
| 174 |
+
93 -0.48429 -0.12434 -0.48796 -0.10907 0.28062 9.1614 8.9083 2.1387 0.10466 -0.43592 0.14157 0.026746 2739.4 0 0
|
| 175 |
+
94 -0.48796 -0.10907 -0.49114 -0.093691 0.28397 9.2539 9.0616 1.8766 0.079315 -0.383 0.14358 0.02346 2739.6 0 0
|
| 176 |
+
95 -0.49114 -0.093691 -0.49384 -0.078217 0.28756 9.4116 9.2715 1.6181 0.061672 -0.35336 0.1466 0.019866 2817.5 0 0
|
| 177 |
+
96 -0.49384 -0.078217 -0.49606 -0.062667 0.2878 9.4096 9.3158 1.3258 0.03494 -0.2455 0.14687 0.016969 2808.8 0 0
|
| 178 |
+
97 -0.49606 -0.062667 -0.49778 -0.047054 0.29044 9.4513 9.3942 1.0371 0.026028 -0.23576 0.14797 0.012587 2773.6 0 0
|
| 179 |
+
98 -0.49778 -0.047054 -0.49901 -0.031395 0.29307 9.5544 9.525 0.74963 0.016063 -0.2041 0.14986 0.0085689 2813.3 0 0
|
| 180 |
+
99 -0.49901 -0.031395 -0.49975 -0.015705 0.29838 9.7316 9.7208 0.45842 0.0056738 -0.12031 0.15278 0.0053108 2852.2 0 0
|
| 181 |
+
100 -0.49975 -0.015705 -0.5 0 0.29974 9.676 9.6748 0.15198 0.00074778 -0.047602 0.15198 0.0016396 2797.8 0 0
|
| 182 |
+
101 -0.5 0 -0.49975 0.015705 0.29778 9.6879 9.6867 -0.15217 0.00019934 0.01269 0.15215 -0.0021909 2824.7 0 0
|
| 183 |
+
102 -0.49975 0.015705 -0.49901 0.031395 0.29872 9.7059 9.6951 -0.45721 0.0026357 0.055889 0.15233 -0.0063037 2888 0 0
|
| 184 |
+
103 -0.49901 0.031395 -0.49778 0.047054 0.29423 9.642 9.6123 -0.7565 0.01198 0.15222 0.15117 -0.0094917 2926.2 0 0
|
| 185 |
+
104 -0.49778 0.047054 -0.49606 0.062667 0.29331 9.5579 9.5001 -1.0488 0.024732 0.22402 0.14961 -0.012955 2853.2 0 0
|
| 186 |
+
105 -0.49606 0.062667 -0.49384 0.078217 0.28966 9.4662 9.3718 -1.3338 0.039401 0.27685 0.14782 -0.016602 2810.2 0 0
|
| 187 |
+
106 -0.49384 0.078217 -0.49114 0.093691 0.28992 9.4664 9.3255 -1.6276 0.066208 0.37935 0.14752 -0.019606 2828.4 0 0
|
| 188 |
+
107 -0.49114 0.093691 -0.48796 0.10907 0.28358 9.2465 9.0544 -1.8751 0.084891 0.40992 0.14355 -0.023014 2754.8 0 0
|
| 189 |
+
108 -0.48796 0.10907 -0.48429 0.12434 0.28388 9.2148 8.9602 -2.1512 0.088529 0.36875 0.14213 -0.027997 2697.2 0 0
|
| 190 |
+
109 -0.48429 0.12434 -0.48015 0.1395 0.27434 8.9911 8.6724 -2.3725 0.13923 0.50893 0.13841 -0.029272 2743.4 0 0
|
| 191 |
+
110 -0.48015 0.1395 -0.47553 0.15451 0.27621 8.9244 8.5299 -2.6241 0.15985 0.5196 0.13649 -0.033057 2611.2 0 0
|
| 192 |
+
111 -0.47553 0.15451 -0.47044 0.16937 0.26646 8.8119 8.3368 -2.8543 0.20661 0.60346 0.13419 -0.035355 2682.1 0 0
|
| 193 |
+
112 -0.47044 0.16937 -0.46489 0.18406 0.26284 8.5782 8.0244 -3.0322 0.23473 0.62119 0.12973 -0.03787 2594.3 0 0
|
| 194 |
+
113 -0.46489 0.18406 -0.45888 0.19857 0.25662 8.4038 7.7641 -3.216 0.28524 0.68863 0.12643 -0.039698 2558.2 0 0
|
| 195 |
+
114 -0.45888 0.19857 -0.45241 0.21289 0.25232 8.2015 7.4749 -3.375 0.28422 0.62948 0.12187 -0.043125 2439.1 0 0
|
| 196 |
+
115 -0.45241 0.21289 -0.4455 0.227 0.243 7.9386 7.1291 -3.4925 0.34301 0.70016 0.11737 -0.04386 2406.8 0 0
|
| 197 |
+
116 -0.4455 0.227 -0.43815 0.24088 0.23894 7.8212 6.9121 -3.6598 0.3923 0.74092 0.11473 -0.045847 2347.5 0 0
|
| 198 |
+
117 -0.43815 0.24088 -0.43037 0.25452 0.23391 7.6127 6.6126 -3.7718 0.41036 0.71943 0.11031 -0.047944 2293.2 0 0
|
| 199 |
+
118 -0.43037 0.25452 -0.42216 0.26791 0.22427 7.3242 6.2449 -3.8269 0.4533 0.73971 0.10521 -0.048491 2202.2 0 0
|
| 200 |
+
119 -0.42216 0.26791 -0.41354 0.28104 0.2205 7.1919 6.011 -3.9485 0.5097 0.77595 0.10242 -0.049832 2206.8 0 0
|
| 201 |
+
120 -0.41354 0.28104 -0.40451 0.29389 0.21075 6.8772 5.6266 -3.9544 0.52953 0.75344 0.096696 -0.050279 2089.5 0 0
|
| 202 |
+
121 -0.40451 0.29389 -0.39508 0.30645 0.20617 6.7027 5.36 -4.0244 0.56407 0.75127 0.093052 -0.051412 2026 0 0
|
| 203 |
+
122 -0.39508 0.30645 -0.38526 0.31871 0.19433 6.3307 4.9407 -3.9582 0.59851 0.74706 0.087006 -0.050439 1912.9 0 0
|
| 204 |
+
123 -0.38526 0.31871 -0.37506 0.33066 0.18838 6.1917 4.7082 -4.0212 0.62206 0.72834 0.083725 -0.051722 1951.5 0 0
|
| 205 |
+
124 -0.37506 0.33066 -0.36448 0.34227 0.18123 5.9492 4.4002 -4.0039 0.64698 0.71102 0.079278 -0.051722 1842.6 0 0
|
| 206 |
+
125 -0.36448 0.34227 -0.35355 0.35355 0.17308 5.6405 4.0506 -3.9253 0.66328 0.68445 0.074042 -0.050905 1762.1 0 0
|
| 207 |
+
126 -0.35355 0.35355 -0.34227 0.36448 0.16373 5.3662 3.7344 -3.8536 0.71618 0.69403 0.069907 -0.049628 1675.8 0 0
|
| 208 |
+
127 -0.34227 0.36448 -0.33066 0.37506 0.16045 5.2207 3.5136 -3.8614 0.71497 0.65058 0.066419 -0.050433 1618.1 0 0
|
| 209 |
+
128 -0.33066 0.37506 -0.31871 0.38526 0.15343 5.026 3.2641 -3.8218 0.75249 0.64269 0.06309 -0.049935 1612.9 0 0
|
CylinderKnMa/Kn0p34/simulation0742_Kn0p34Ma6p1/surf/Surf_300000.vtu
ADDED
|
@@ -0,0 +1,38 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
<?xml version="1.0"?>
|
| 2 |
+
<VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
|
| 3 |
+
<UnstructuredGrid>
|
| 4 |
+
<Piece NumberOfPoints="400" NumberOfCells="200" >
|
| 5 |
+
<PointData>
|
| 6 |
+
</PointData>
|
| 7 |
+
<CellData>
|
| 8 |
+
<DataArray type="Float64" Name="id" format="appended" RangeMin="1" RangeMax="200" offset="0" />
|
| 9 |
+
<DataArray type="Float64" Name="v1x" format="appended" RangeMin="-0.5" RangeMax="0.5" offset="432" />
|
| 10 |
+
<DataArray type="Float64" Name="v1y" format="appended" RangeMin="-0.5" RangeMax="0.5" offset="1468" />
|
| 11 |
+
<DataArray type="Float64" Name="v2x" format="appended" RangeMin="-0.5" RangeMax="0.5" offset="2476" />
|
| 12 |
+
<DataArray type="Float64" Name="v2y" format="appended" RangeMin="-0.5" RangeMax="0.5" offset="3508" />
|
| 13 |
+
<DataArray type="Float64" Name="f_2[1]" format="appended" RangeMin="0.00177" RangeMax="0.29974" offset="4512" />
|
| 14 |
+
<DataArray type="Float64" Name="f_2[2]" format="appended" RangeMin="0.047541" RangeMax="9.7316" offset="6496" />
|
| 15 |
+
<DataArray type="Float64" Name="f_2[3]" format="appended" RangeMin="-0.13539" RangeMax="9.7208" offset="8528" />
|
| 16 |
+
<DataArray type="Float64" Name="f_2[4]" format="appended" RangeMin="-4.0244" RangeMax="4.0131" offset="10588" />
|
| 17 |
+
<DataArray type="Float64" Name="f_2[5]" format="appended" RangeMin="-0.00030209" RangeMax="0.84286" offset="12676" />
|
| 18 |
+
<DataArray type="Float64" Name="f_2[6]" format="appended" RangeMin="-0.77884" RangeMax="0.77595" offset="14752" />
|
| 19 |
+
<DataArray type="Float64" Name="f_2[7]" format="appended" RangeMin="-0.0012338" RangeMax="0.15278" offset="16884" />
|
| 20 |
+
<DataArray type="Float64" Name="f_2[8]" format="appended" RangeMin="-0.051722" RangeMax="0.052208" offset="19028" />
|
| 21 |
+
<DataArray type="Float64" Name="f_2[9]" format="appended" RangeMin="14.284" RangeMax="2926.2" offset="21168" />
|
| 22 |
+
<DataArray type="Float64" Name="f_2[10]" format="appended" RangeMin="0" RangeMax="0" offset="22496" />
|
| 23 |
+
<DataArray type="Float64" Name="f_2[11]" format="appended" RangeMin="0" RangeMax="0" offset="22548" />
|
| 24 |
+
</CellData>
|
| 25 |
+
<Points>
|
| 26 |
+
<DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="0.49999998503" RangeMax="0.50000001255" offset="22600" />
|
| 27 |
+
</Points>
|
| 28 |
+
<Cells>
|
| 29 |
+
<DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="23928" />
|
| 30 |
+
<DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="24832" />
|
| 31 |
+
<DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="25324" />
|
| 32 |
+
</Cells>
|
| 33 |
+
</Piece>
|
| 34 |
+
</UnstructuredGrid>
|
| 35 |
+
<AppendedData encoding="base64">
|
| 36 |
+
_AQAAAACAAABABgAAMAEAAA==eJwtyzeOVVEQRdETEhIQEBC0EEIIIQSNt32Bxnvv4eJhFjWUN5QayhsCQ0Dor0qWjrYq+X9/d7K5sWEP93If9/MAt3iQh3iYR3iUx3icJ3iS2zzF0zzDszzH87zAi7zEy7zCq9zh2FjMNZu5bjM3bGbXZm7azC2buW0zd2zmrs3cs5n7NvPAZh7azCObeWwzTzYOFpt5qrPYzDOdxWae6yw280JnsZmXOovNvNJZbOa1zmIzb3QWm3mrs9jMO53FZt7rLDbzQWexmY86i8180lls5rPOYjNz4xYHJ4sLmyvzxT8HJ4sLmyvz1T8HJ4sLmyvzzT8HJ4sLmyvz3T8HJ4sLmyvzwz8HJ4sLmyvz0z8HJ4sLmyvzyz8HJ4sLmyvz2z8HJ4sLmyvzZ/wDaXOy2Q==AQAAAACAAABABgAA9QIAAA==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AQAAAACAAABABgAA4AIAAA==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AQAAAACAAABABgAA8wIAAA==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AQAAAACAAABABgAA3wIAAA==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AQAAAACAAABABgAA4QUAAA==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AQAAAACAAABABgAA9wUAAA==eJwtlHk81Gkcx5ObcUeMe8bVlCNKOep5urVtKWcioqRYSm2HzZ1ypXLVjqwWMaZmMCPHUPMdTLtJJE0USq8JW4SVUtnUzox+fz6v7+vzfH6fz/v7mIwnJNaGV0H85dBmvjELlp6/JW0ywYZ65Y4TxMMsaAruL3koxwKiQ/pvzTQWUG34o5fsqsFiVQZjZR4bTnqtXCeIq4aUD4ucNg4wYFI41zD3ng5HAws/h2+hQ0rY+lx+zk1IqslbZlnMgLDxOpHyTdiUkqCx4uBN8KFUVMzmlwPlgrWMkxUdrrd9iyHaVcCRs31HxjfSQaCasL2nggbp+Y/v/6NdBUK/5AuJSlVgUzlFfXe9ChT5Y7OyTSyIJPZHrJtkwVOLHROnrNhQ0p1GjTOqARf9948IwhrIf1KUczykHswoXqsWJ9SDps2QxoAbBzpbik5+jmgEqdSdZQfV7sC/59q8mivugJKNj2AfkQsK3uEzeCkPDI85DCQ+AtCm29WpD/Ggjut2qJ3DA/+85ya5F3gABdIyxz/w4Pva1y1Jl3nQzlnkmx8H4OP2ZWutO0BXjd9HTl8jdLjseJwdUAcenPQ9Bf6ivCOjsx4doEHP7pY+XZdskDaX1eHlZaOMk9oe8R5MpPNymMTVakJrGlwi6vfyUaen2MlD9CBdPNCN0jRaSrPIz1BmKzWoQ+ol+tXs6vfL8UL0IrBbl1k6jFoON2dyk0eRtYWjce/5ccTzN1k3tX8K7YooOFVYMo2WjKtw7agzKEi+U29X32cku0LD0fXuV2QxdLaog7IAT8SilYHOUjht/96BzWel8ZjQkcjzl8Xt6n83NmTJ4w9zgtNvyxXxGqXe0qN3lfFfkSsS67EqFqt4+KhjbcO2YXRDA2fOhX4aKtbEzjntCW7ftbBV/AVOxFZtbO9tR6Hn6uDXYtl9i7HjrbW+/sv1cKrO885PnkSsa+EpW+qhj/WLApe0dxng04UlZE6sISZKfsQIn1/dcy9ykQkWqSl+STTBddMiQ4qmOMmi5TxtlSkWvs1nEx6bYqmXCxUzjEk4sHErYWEmCXtY/pleXUzCVIpuvqCNhDseij4CeX4+mozjKutCEvzI+JKnKNEgMrYfqTQf2v/j3ImML56I1ldZQMau4jq5JGzN/mOSVk7Ckhj1SVhhzTXv62OmmELX6tq4W3T/9hQVdzVTPCqWZ5jg08pmVvEEE5wd/5/zUVVj/NOZs7Y/jxjiVJrvA/sUAyyCJWOuTB+7G+mEbz9OxEFLRInP6mJzuaT8Dcq6mM+yiSpN0sHRkuC15/tp1cJ9+rHB9k81cfcRUaNUDfyiNiW2y0F93u8rlR/+CJg0N3PilYESzgn4tmE2Uh7Tb+zAWsGyePCVci49WRpL4nothaUlRr+jeW6/IsHSUD3h7i9IhO67ItcZJMGHMo22SAanEH9PrFLi1DgS1wxxb5CBBJhhVD4e5HfYQ4iuvHumwB8bQE2Wasq15b1og9Bom3FjN4qRU5nTChBxTfyonjXBR0Fmt4cDMppQoWfbgp33mOgXVn9YPjUHabueC6CHZUMD63n2qAsNHIeu6/Hl2RBLtVo/erIOOGmTfMbiJpCsyyEuyDB5l58yuaBW6FByexUPBrYRS094NYNln7doM5vBeq0s77RcM6SPMpOYmjywcZrIU+0BaC+0yUzvAJg8pjGY7gdw23gJqZXChRjy9H1jwh1Ijcy01z/QCMyoj4UfuBxgpQWnLn9bD4KnhpmRHrUQVb7eVdO2Hj4ZiRXZIOO1OtkrgwVjjhVzPTuqgWYs2KQUygLxdgxyK6E1RFA7s5YJ7m1OrNQZOlwxd25ftp4Oe6Zf21qPlgJjxIk0WMaAq873x5pvVIDZk+In01EMcHbRMzCvqoSy8CZF7uGbYBsRklT1phIKYms6st7SYWGI+KVjAP3Z770aqQy4tqZLieDHhOGg9qW9/ZXAod1y0emvBgJrlkyQZoO5/Lvw93ksMHWWuShDvA0KI2+mzlxjQ8RmOU6mHQt8VMWk10BMjLNvniYb/gfobRBDAQAAAACAAABABgAACgYAAA==eJw9lHlUE8YWxkMCRAgkUbF9iFgRqVo20QoWlDu1yCJVwKqI2NcnLihSW1c0ARcUhaqUxYCAUgRi1aYUoRGF1DsQEAsoO1ERRFBDnsqiQlgEXpKe8+avOWfm3vvd+/1m+oLyVOwUPzi4pHhlhGInBE6rG1nZEgHZzz+pnFV6BPb7H0IacgLEvhNJa6/Ewo3WUFFaw09grK6SrVMkQoLj5Wg5Jwn6TWNqW0oTwfl3M+bt8kQYn3tUHT89GUpuFgUnsVKgWOETFfQ4DeKtGEsGX6dBjvXtD6ffZ4DF9h1LJ5enwc5AqxdzmzPB7/xJj8d3fwHTdU6iI2WXQXE5PUkivwxGq6NmHVZehTihXVR39HXYxan1rbgrgdrJww5ihxuwv7bYs/p4AQSV58svvC+EdHe3juKQm7D8O8HovvpbsNPVzXyGDYJPdmqAXRGFmYv8zSfc5RCoPxH8d3wFhLRm1xim3QNGYMEWa341bI5jn191+wF4/5oXmaKshyu8b/2fLmyEhtG7isygFsi3uGlfFf4Qpvq8X/jTi8eg8naYsBprB8bZ0Lo6eAaL/13sY8LsAnc4y5/5/Uv4izHa3SRSwjNO8rXoABWs8Ti1Tpb4Cq6FRV8dZfTCrvSIi9nW/ZC/d0fim8h+qFpYfsNh9zu4Hh3gc+nYAAS+diyZy1NDk+02884Nw5BUfdQbo0bgiSfrEGfOGDBlBlPMYAJ+WWrXlP6SQXYU/nefVKRHCk32SM4Es0hRPaOdGcciurgxfTJrS8/G5XcMSFflhZIUPptcXJT9p8shNnH+zT0w2MmInBnbpn6+2ZhIrxyunO9qTNrmGB4XyTnk+4rxAuFeE+KQkDXktN2UHB11/fHBJC5h933k7R/JJV57h3kqFx7xOBOuHL3GIwf9Zn4UZsonfmTqZnkjj9wp/fjTbwz45Lh+xc9Oah4pcNidoyfjEY34u0+kXKIZ4uCBDu7/80rOtO5g9JqQL6M7Ky+4mZC1XeKM8ixj0nGHq5FsRDRF+htWTSIcT5sDzHRD4qO1YVCf8AWaThRMQnKf3uHO0COTK4tvnTMch9iYjY2yrmGQpSTwBM4D0KwMsx1M7YPZLnLToQ9KKPEYaKHr24AWNOSa7ZfDV+uLBKsFcixrCyp5s7wNte7A4m48VkQ0ivpQVydwAIUnHL++YjyCe3SCx/HRssMbri7Wo0KzPK9nI0yqdWneuD71vcdeltFsSM33Kaa8/XIS7YnUomJEGbrFoXuWGSty+jhU8XnvkhVepnR2+CGB2I5La7R2X+LSlSZM29MpPBqgA4ZHtWP/8C8+lboMlW29zqM636fx6er6xE3jLD7lq4r+YIXyKH2dqSGDS4edXubZPOfSuIb2Dk4ylybytA2Y0nk8jsZqEzpa3fO3vIxDUycSjoy6cmiHvcboG0b0vpsm45NJdD3XvuBSL5ua62t3hrRxVQh/wxcGVNevVJ9Kfn/43cFaFpU3akHVo8HL3bsfSfToP7wx6DItnpbjuHGr21O/cx+wPfm0xpER1B67dw9huNFwVmihGt1+fBDb0D6A/8znHWog1KD7Fi11gf0oVFcKm6t6UJzV6js95zVaLgn12PmDCgW6i0qMVrbLbSpfYFiu+O3Bk53oX7nF8LOuDrQ+6WXhJXmKm3UCn2C+5PP5Bm0PEaO0GZqRX1PfpXZuRB03F+sxUBSl+SJq8b6q4MLDyBp8FLGiD0X3sOk/00/9HFuBK7ZuqLBIk+PHugdWilOcbJK6t8kwvsb66II+GdbZZgpyS6WYr9yVUu1ZiH8IbadMbcrH1rikBO/WfFRdMr6lHP4NrTbpxQhGruIXXNnGnppc3Cb2md89mI1Dcaxu9VgGKuPHU3fVZ+NClqi/d1EmCttmL2hxycKp9oeX2kMW5lh1BXz2LA1B4hIWo8rANyv+tPwmQoQ1bH3XZGcR/rU2vOZVbDI2P1ggFXOT0HGaxTvXzgTcZOBUJ3VMQJpadmK74hyGOJrlW56NRbHdVzNedZ5CT2nsvE9/OIaz1pQxV4sPoO/SrPCqabsxhn0/T2i7Bv8H2bAd8g==AQAAAACAAABABgAAAQYAAA==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AQAAAACAAABABgAAKwYAAA==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AQAAAACAAABABgAANgYAAA==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AQAAAACAAABABgAA0AMAAA==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AQAAAACAAABABgAAFQAAAA==eJxjYBgFo2AUjIJRMApIBwAGQAABAQAAAACAAABABgAAFQAAAA==eJxjYBgFo2AUjIJRMApIBwAGQAABAQAAAACAAADAEgAA0gMAAA==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AQAAAACAAABABgAAXwEAAA==eJwtxVFEHAAAANBKkpzkJEmSJMlJkiRJkiRJkiQnSXKSJEmSJEmSJEmSZGYmmUmSJEmSJEkyMzOTzCRJkmT20Xs/LybqXazjHO8EB5zoJAed7BSnOs3pznCms5ztHOc6zyHnu8CFLnKxS1zqMpe7wpWucrVrXOs617vBjW5ys1vc6rDb3O4Od7rLEXe7x73uc78HPOghD3vEox7zuCc86SlPe8aznvO8F7zoJS97xate8wd/9Cd/9ro3/MVfvektb3vHu97zvg986CMf+8SnPvO5L3zpK1/7m7/7h3/6l3/7xrf+47++870f/OgnP/vFr37zP0dFvxfjWMc53gkOONFJDjrZKU51mtOd4UxnOds5znWeQ853gQtd5GKXuNRlLneFK13late41nWud4Mb3eRmt7jVYbe53R3udJcj7naPe93nfg940EMe9ohHPeZxT3jSU572jGc95/9sSVRSAQAAAACAAADIAAAADAAAAA==eJxjZh4eAADsVAJZ
|
| 37 |
+
</AppendedData>
|
| 38 |
+
</VTKFile>
|
CylinderKnMa/Kn0p34/simulation0742_Kn0p34Ma6p1/surf/geom.surf
ADDED
|
@@ -0,0 +1,610 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Surface element file written by SPARTA
|
| 2 |
+
|
| 3 |
+
400 points
|
| 4 |
+
200 lines
|
| 5 |
+
|
| 6 |
+
Points
|
| 7 |
+
|
| 8 |
+
1 0.5 0
|
| 9 |
+
2 0.499753280182866 -0.0157053795390643
|
| 10 |
+
3 0.499753280182866 -0.0157053795390643
|
| 11 |
+
4 0.499013364214136 -0.0313952597646568
|
| 12 |
+
5 0.499013364214136 -0.0313952597646568
|
| 13 |
+
6 0.49778098230154 -0.0470541566592573
|
| 14 |
+
7 0.49778098230154 -0.0470541566592573
|
| 15 |
+
8 0.496057350657239 -0.0626666167821523
|
| 16 |
+
9 0.496057350657239 -0.0626666167821523
|
| 17 |
+
10 0.493844170297569 -0.0782172325201156
|
| 18 |
+
11 0.493844170297569 -0.0782172325201156
|
| 19 |
+
12 0.491143625364344 -0.0936906572928624
|
| 20 |
+
13 0.491143625364344 -0.0936906572928624
|
| 21 |
+
14 0.487958380969374 -0.109071620698271
|
| 22 |
+
15 0.487958380969374 -0.109071620698271
|
| 23 |
+
16 0.484291580564315 -0.124344943582427
|
| 24 |
+
17 0.484291580564315 -0.124344943582427
|
| 25 |
+
18 0.480146842838471 -0.139495553019615
|
| 26 |
+
19 0.480146842838471 -0.139495553019615
|
| 27 |
+
20 0.475528258147577 -0.154508497187474
|
| 28 |
+
21 0.475528258147577 -0.154508497187474
|
| 29 |
+
22 0.470440384477113 -0.169368960122646
|
| 30 |
+
23 0.470440384477113 -0.169368960122646
|
| 31 |
+
24 0.464888242944126 -0.184062276342339
|
| 32 |
+
25 0.464888242944126 -0.184062276342339
|
| 33 |
+
26 0.458877312841991 -0.19857394531739
|
| 34 |
+
27 0.458877312841991 -0.19857394531739
|
| 35 |
+
28 0.45241352623301 -0.212889645782536
|
| 36 |
+
29 0.45241352623301 -0.212889645782536
|
| 37 |
+
30 0.445503262094184 -0.226995249869774
|
| 38 |
+
31 0.445503262094184 -0.226995249869774
|
| 39 |
+
32 0.438153340021932 -0.240876837050858
|
| 40 |
+
33 0.438153340021932 -0.240876837050858
|
| 41 |
+
34 0.430371013501972 -0.254520707875186
|
| 42 |
+
35 0.430371013501972 -0.254520707875186
|
| 43 |
+
36 0.422163962751007 -0.267913397489498
|
| 44 |
+
37 0.422163962751007 -0.267913397489498
|
| 45 |
+
38 0.413540287137281 -0.281041688926065
|
| 46 |
+
39 0.413540287137281 -0.281041688926065
|
| 47 |
+
40 0.404508497187474 -0.293892626146237
|
| 48 |
+
41 0.404508497187474 -0.293892626146237
|
| 49 |
+
42 0.395077506187845 -0.306453526826488
|
| 50 |
+
43 0.395077506187845 -0.306453526826488
|
| 51 |
+
44 0.385256621387895 -0.318711994874345
|
| 52 |
+
45 0.385256621387895 -0.318711994874345
|
| 53 |
+
46 0.37505553481523 -0.330655932661826
|
| 54 |
+
47 0.37505553481523 -0.330655932661826
|
| 55 |
+
48 0.364484313710706 -0.342273552964344
|
| 56 |
+
49 0.364484313710706 -0.342273552964344
|
| 57 |
+
50 0.353553390593274 -0.353553390593274
|
| 58 |
+
51 0.353553390593274 -0.353553390593274
|
| 59 |
+
52 0.342273552964344 -0.364484313710706
|
| 60 |
+
53 0.342273552964344 -0.364484313710706
|
| 61 |
+
54 0.330655932661826 -0.37505553481523
|
| 62 |
+
55 0.330655932661826 -0.37505553481523
|
| 63 |
+
56 0.318711994874345 -0.385256621387895
|
| 64 |
+
57 0.318711994874345 -0.385256621387895
|
| 65 |
+
58 0.306453526826488 -0.395077506187845
|
| 66 |
+
59 0.306453526826488 -0.395077506187845
|
| 67 |
+
60 0.293892626146236 -0.404508497187474
|
| 68 |
+
61 0.293892626146236 -0.404508497187474
|
| 69 |
+
62 0.281041688926065 -0.413540287137281
|
| 70 |
+
63 0.281041688926065 -0.413540287137281
|
| 71 |
+
64 0.267913397489498 -0.422163962751008
|
| 72 |
+
65 0.267913397489498 -0.422163962751008
|
| 73 |
+
66 0.254520707875185 -0.430371013501972
|
| 74 |
+
67 0.254520707875185 -0.430371013501972
|
| 75 |
+
68 0.240876837050857 -0.438153340021932
|
| 76 |
+
69 0.240876837050857 -0.438153340021932
|
| 77 |
+
70 0.226995249869773 -0.445503262094184
|
| 78 |
+
71 0.226995249869773 -0.445503262094184
|
| 79 |
+
72 0.212889645782536 -0.45241352623301
|
| 80 |
+
73 0.212889645782536 -0.45241352623301
|
| 81 |
+
74 0.19857394531739 -0.458877312841991
|
| 82 |
+
75 0.19857394531739 -0.458877312841991
|
| 83 |
+
76 0.184062276342339 -0.464888242944126
|
| 84 |
+
77 0.184062276342339 -0.464888242944126
|
| 85 |
+
78 0.169368960122645 -0.470440384477113
|
| 86 |
+
79 0.169368960122645 -0.470440384477113
|
| 87 |
+
80 0.154508497187474 -0.475528258147577
|
| 88 |
+
81 0.154508497187474 -0.475528258147577
|
| 89 |
+
82 0.139495553019614 -0.480146842838472
|
| 90 |
+
83 0.139495553019614 -0.480146842838472
|
| 91 |
+
84 0.124344943582427 -0.484291580564316
|
| 92 |
+
85 0.124344943582427 -0.484291580564316
|
| 93 |
+
86 0.109071620698271 -0.487958380969374
|
| 94 |
+
87 0.109071620698271 -0.487958380969374
|
| 95 |
+
88 0.0936906572928621 -0.491143625364344
|
| 96 |
+
89 0.0936906572928621 -0.491143625364344
|
| 97 |
+
90 0.0782172325201152 -0.493844170297569
|
| 98 |
+
91 0.0782172325201152 -0.493844170297569
|
| 99 |
+
92 0.062666616782152 -0.496057350657239
|
| 100 |
+
93 0.062666616782152 -0.496057350657239
|
| 101 |
+
94 0.047054156659257 -0.49778098230154
|
| 102 |
+
95 0.047054156659257 -0.49778098230154
|
| 103 |
+
96 0.0313952597646565 -0.499013364214136
|
| 104 |
+
97 0.0313952597646565 -0.499013364214136
|
| 105 |
+
98 0.015705379539064 -0.499753280182866
|
| 106 |
+
99 0.015705379539064 -0.499753280182866
|
| 107 |
+
100 0 -0.5
|
| 108 |
+
101 0 -0.5
|
| 109 |
+
102 -0.0157053795390643 -0.499753280182866
|
| 110 |
+
103 -0.0157053795390643 -0.499753280182866
|
| 111 |
+
104 -0.0313952597646568 -0.499013364214136
|
| 112 |
+
105 -0.0313952597646568 -0.499013364214136
|
| 113 |
+
106 -0.0470541566592573 -0.49778098230154
|
| 114 |
+
107 -0.0470541566592573 -0.49778098230154
|
| 115 |
+
108 -0.0626666167821523 -0.496057350657239
|
| 116 |
+
109 -0.0626666167821523 -0.496057350657239
|
| 117 |
+
110 -0.0782172325201156 -0.493844170297569
|
| 118 |
+
111 -0.0782172325201156 -0.493844170297569
|
| 119 |
+
112 -0.0936906572928625 -0.491143625364344
|
| 120 |
+
113 -0.0936906572928625 -0.491143625364344
|
| 121 |
+
114 -0.109071620698271 -0.487958380969374
|
| 122 |
+
115 -0.109071620698271 -0.487958380969374
|
| 123 |
+
116 -0.124344943582428 -0.484291580564315
|
| 124 |
+
117 -0.124344943582428 -0.484291580564315
|
| 125 |
+
118 -0.139495553019615 -0.480146842838471
|
| 126 |
+
119 -0.139495553019615 -0.480146842838471
|
| 127 |
+
120 -0.154508497187474 -0.475528258147577
|
| 128 |
+
121 -0.154508497187474 -0.475528258147577
|
| 129 |
+
122 -0.169368960122646 -0.470440384477113
|
| 130 |
+
123 -0.169368960122646 -0.470440384477113
|
| 131 |
+
124 -0.184062276342339 -0.464888242944126
|
| 132 |
+
125 -0.184062276342339 -0.464888242944126
|
| 133 |
+
126 -0.19857394531739 -0.458877312841991
|
| 134 |
+
127 -0.19857394531739 -0.458877312841991
|
| 135 |
+
128 -0.212889645782536 -0.45241352623301
|
| 136 |
+
129 -0.212889645782536 -0.45241352623301
|
| 137 |
+
130 -0.226995249869774 -0.445503262094184
|
| 138 |
+
131 -0.226995249869774 -0.445503262094184
|
| 139 |
+
132 -0.240876837050858 -0.438153340021932
|
| 140 |
+
133 -0.240876837050858 -0.438153340021932
|
| 141 |
+
134 -0.254520707875186 -0.430371013501972
|
| 142 |
+
135 -0.254520707875186 -0.430371013501972
|
| 143 |
+
136 -0.267913397489499 -0.422163962751007
|
| 144 |
+
137 -0.267913397489499 -0.422163962751007
|
| 145 |
+
138 -0.281041688926066 -0.413540287137281
|
| 146 |
+
139 -0.281041688926066 -0.413540287137281
|
| 147 |
+
140 -0.293892626146237 -0.404508497187474
|
| 148 |
+
141 -0.293892626146237 -0.404508497187474
|
| 149 |
+
142 -0.306453526826488 -0.395077506187845
|
| 150 |
+
143 -0.306453526826488 -0.395077506187845
|
| 151 |
+
144 -0.318711994874345 -0.385256621387895
|
| 152 |
+
145 -0.318711994874345 -0.385256621387895
|
| 153 |
+
146 -0.330655932661826 -0.37505553481523
|
| 154 |
+
147 -0.330655932661826 -0.37505553481523
|
| 155 |
+
148 -0.342273552964344 -0.364484313710706
|
| 156 |
+
149 -0.342273552964344 -0.364484313710706
|
| 157 |
+
150 -0.353553390593274 -0.353553390593274
|
| 158 |
+
151 -0.353553390593274 -0.353553390593274
|
| 159 |
+
152 -0.364484313710706 -0.342273552964344
|
| 160 |
+
153 -0.364484313710706 -0.342273552964344
|
| 161 |
+
154 -0.37505553481523 -0.330655932661826
|
| 162 |
+
155 -0.37505553481523 -0.330655932661826
|
| 163 |
+
156 -0.385256621387895 -0.318711994874345
|
| 164 |
+
157 -0.385256621387895 -0.318711994874345
|
| 165 |
+
158 -0.395077506187845 -0.306453526826488
|
| 166 |
+
159 -0.395077506187845 -0.306453526826488
|
| 167 |
+
160 -0.404508497187474 -0.293892626146237
|
| 168 |
+
161 -0.404508497187474 -0.293892626146237
|
| 169 |
+
162 -0.413540287137281 -0.281041688926065
|
| 170 |
+
163 -0.413540287137281 -0.281041688926065
|
| 171 |
+
164 -0.422163962751008 -0.267913397489498
|
| 172 |
+
165 -0.422163962751008 -0.267913397489498
|
| 173 |
+
166 -0.430371013501972 -0.254520707875185
|
| 174 |
+
167 -0.430371013501972 -0.254520707875185
|
| 175 |
+
168 -0.438153340021932 -0.240876837050857
|
| 176 |
+
169 -0.438153340021932 -0.240876837050857
|
| 177 |
+
170 -0.445503262094184 -0.226995249869773
|
| 178 |
+
171 -0.445503262094184 -0.226995249869773
|
| 179 |
+
172 -0.45241352623301 -0.212889645782536
|
| 180 |
+
173 -0.45241352623301 -0.212889645782536
|
| 181 |
+
174 -0.458877312841991 -0.19857394531739
|
| 182 |
+
175 -0.458877312841991 -0.19857394531739
|
| 183 |
+
176 -0.464888242944126 -0.184062276342339
|
| 184 |
+
177 -0.464888242944126 -0.184062276342339
|
| 185 |
+
178 -0.470440384477113 -0.169368960122645
|
| 186 |
+
179 -0.470440384477113 -0.169368960122645
|
| 187 |
+
180 -0.475528258147577 -0.154508497187473
|
| 188 |
+
181 -0.475528258147577 -0.154508497187473
|
| 189 |
+
182 -0.480146842838472 -0.139495553019614
|
| 190 |
+
183 -0.480146842838472 -0.139495553019614
|
| 191 |
+
184 -0.484291580564316 -0.124344943582427
|
| 192 |
+
185 -0.484291580564316 -0.124344943582427
|
| 193 |
+
186 -0.487958380969374 -0.109071620698271
|
| 194 |
+
187 -0.487958380969374 -0.109071620698271
|
| 195 |
+
188 -0.491143625364344 -0.0936906572928622
|
| 196 |
+
189 -0.491143625364344 -0.0936906572928622
|
| 197 |
+
190 -0.493844170297569 -0.0782172325201151
|
| 198 |
+
191 -0.493844170297569 -0.0782172325201151
|
| 199 |
+
192 -0.496057350657239 -0.0626666167821519
|
| 200 |
+
193 -0.496057350657239 -0.0626666167821519
|
| 201 |
+
194 -0.49778098230154 -0.0470541566592571
|
| 202 |
+
195 -0.49778098230154 -0.0470541566592571
|
| 203 |
+
196 -0.499013364214136 -0.0313952597646564
|
| 204 |
+
197 -0.499013364214136 -0.0313952597646564
|
| 205 |
+
198 -0.499753280182866 -0.015705379539064
|
| 206 |
+
199 -0.499753280182866 -0.015705379539064
|
| 207 |
+
200 -0.5 0
|
| 208 |
+
201 -0.5 0
|
| 209 |
+
202 -0.499753280182866 0.0157053795390643
|
| 210 |
+
203 -0.499753280182866 0.0157053795390643
|
| 211 |
+
204 -0.499013364214136 0.0313952597646568
|
| 212 |
+
205 -0.499013364214136 0.0313952597646568
|
| 213 |
+
206 -0.49778098230154 0.0470541566592574
|
| 214 |
+
207 -0.49778098230154 0.0470541566592574
|
| 215 |
+
208 -0.496057350657239 0.0626666167821523
|
| 216 |
+
209 -0.496057350657239 0.0626666167821523
|
| 217 |
+
210 -0.493844170297569 0.0782172325201157
|
| 218 |
+
211 -0.493844170297569 0.0782172325201157
|
| 219 |
+
212 -0.491143625364344 0.0936906572928625
|
| 220 |
+
213 -0.491143625364344 0.0936906572928625
|
| 221 |
+
214 -0.487958380969374 0.109071620698271
|
| 222 |
+
215 -0.487958380969374 0.109071620698271
|
| 223 |
+
216 -0.484291580564315 0.124344943582428
|
| 224 |
+
217 -0.484291580564315 0.124344943582428
|
| 225 |
+
218 -0.480146842838471 0.139495553019615
|
| 226 |
+
219 -0.480146842838471 0.139495553019615
|
| 227 |
+
220 -0.475528258147577 0.154508497187474
|
| 228 |
+
221 -0.475528258147577 0.154508497187474
|
| 229 |
+
222 -0.470440384477113 0.169368960122646
|
| 230 |
+
223 -0.470440384477113 0.169368960122646
|
| 231 |
+
224 -0.464888242944126 0.184062276342339
|
| 232 |
+
225 -0.464888242944126 0.184062276342339
|
| 233 |
+
226 -0.458877312841991 0.198573945317391
|
| 234 |
+
227 -0.458877312841991 0.198573945317391
|
| 235 |
+
228 -0.45241352623301 0.212889645782536
|
| 236 |
+
229 -0.45241352623301 0.212889645782536
|
| 237 |
+
230 -0.445503262094184 0.226995249869774
|
| 238 |
+
231 -0.445503262094184 0.226995249869774
|
| 239 |
+
232 -0.438153340021932 0.240876837050858
|
| 240 |
+
233 -0.438153340021932 0.240876837050858
|
| 241 |
+
234 -0.430371013501972 0.254520707875186
|
| 242 |
+
235 -0.430371013501972 0.254520707875186
|
| 243 |
+
236 -0.422163962751007 0.267913397489498
|
| 244 |
+
237 -0.422163962751007 0.267913397489498
|
| 245 |
+
238 -0.413540287137281 0.281041688926065
|
| 246 |
+
239 -0.413540287137281 0.281041688926065
|
| 247 |
+
240 -0.404508497187474 0.293892626146237
|
| 248 |
+
241 -0.404508497187474 0.293892626146237
|
| 249 |
+
242 -0.395077506187845 0.306453526826488
|
| 250 |
+
243 -0.395077506187845 0.306453526826488
|
| 251 |
+
244 -0.385256621387895 0.318711994874345
|
| 252 |
+
245 -0.385256621387895 0.318711994874345
|
| 253 |
+
246 -0.37505553481523 0.330655932661826
|
| 254 |
+
247 -0.37505553481523 0.330655932661826
|
| 255 |
+
248 -0.364484313710706 0.342273552964344
|
| 256 |
+
249 -0.364484313710706 0.342273552964344
|
| 257 |
+
250 -0.353553390593274 0.353553390593274
|
| 258 |
+
251 -0.353553390593274 0.353553390593274
|
| 259 |
+
252 -0.342273552964344 0.364484313710706
|
| 260 |
+
253 -0.342273552964344 0.364484313710706
|
| 261 |
+
254 -0.330655932661826 0.37505553481523
|
| 262 |
+
255 -0.330655932661826 0.37505553481523
|
| 263 |
+
256 -0.318711994874345 0.385256621387895
|
| 264 |
+
257 -0.318711994874345 0.385256621387895
|
| 265 |
+
258 -0.306453526826488 0.395077506187845
|
| 266 |
+
259 -0.306453526826488 0.395077506187845
|
| 267 |
+
260 -0.293892626146237 0.404508497187474
|
| 268 |
+
261 -0.293892626146237 0.404508497187474
|
| 269 |
+
262 -0.281041688926065 0.413540287137281
|
| 270 |
+
263 -0.281041688926065 0.413540287137281
|
| 271 |
+
264 -0.267913397489498 0.422163962751008
|
| 272 |
+
265 -0.267913397489498 0.422163962751008
|
| 273 |
+
266 -0.254520707875185 0.430371013501972
|
| 274 |
+
267 -0.254520707875185 0.430371013501972
|
| 275 |
+
268 -0.240876837050857 0.438153340021932
|
| 276 |
+
269 -0.240876837050857 0.438153340021932
|
| 277 |
+
270 -0.226995249869773 0.445503262094184
|
| 278 |
+
271 -0.226995249869773 0.445503262094184
|
| 279 |
+
272 -0.212889645782536 0.45241352623301
|
| 280 |
+
273 -0.212889645782536 0.45241352623301
|
| 281 |
+
274 -0.19857394531739 0.458877312841991
|
| 282 |
+
275 -0.19857394531739 0.458877312841991
|
| 283 |
+
276 -0.184062276342339 0.464888242944126
|
| 284 |
+
277 -0.184062276342339 0.464888242944126
|
| 285 |
+
278 -0.169368960122646 0.470440384477113
|
| 286 |
+
279 -0.169368960122646 0.470440384477113
|
| 287 |
+
280 -0.154508497187474 0.475528258147577
|
| 288 |
+
281 -0.154508497187474 0.475528258147577
|
| 289 |
+
282 -0.139495553019614 0.480146842838472
|
| 290 |
+
283 -0.139495553019614 0.480146842838472
|
| 291 |
+
284 -0.124344943582427 0.484291580564316
|
| 292 |
+
285 -0.124344943582427 0.484291580564316
|
| 293 |
+
286 -0.109071620698271 0.487958380969374
|
| 294 |
+
287 -0.109071620698271 0.487958380969374
|
| 295 |
+
288 -0.0936906572928622 0.491143625364344
|
| 296 |
+
289 -0.0936906572928622 0.491143625364344
|
| 297 |
+
290 -0.0782172325201154 0.493844170297569
|
| 298 |
+
291 -0.0782172325201154 0.493844170297569
|
| 299 |
+
292 -0.0626666167821517 0.496057350657239
|
| 300 |
+
293 -0.0626666167821517 0.496057350657239
|
| 301 |
+
294 -0.0470541566592569 0.49778098230154
|
| 302 |
+
295 -0.0470541566592569 0.49778098230154
|
| 303 |
+
296 -0.0313952597646565 0.499013364214136
|
| 304 |
+
297 -0.0313952597646565 0.499013364214136
|
| 305 |
+
298 -0.015705379539064 0.499753280182866
|
| 306 |
+
299 -0.015705379539064 0.499753280182866
|
| 307 |
+
300 0 0.5
|
| 308 |
+
301 0 0.5
|
| 309 |
+
302 0.0157053795390645 0.499753280182866
|
| 310 |
+
303 0.0157053795390645 0.499753280182866
|
| 311 |
+
304 0.031395259764657 0.499013364214136
|
| 312 |
+
305 0.031395259764657 0.499013364214136
|
| 313 |
+
306 0.0470541566592574 0.49778098230154
|
| 314 |
+
307 0.0470541566592574 0.49778098230154
|
| 315 |
+
308 0.0626666167821522 0.496057350657239
|
| 316 |
+
309 0.0626666167821522 0.496057350657239
|
| 317 |
+
310 0.0782172325201155 0.493844170297569
|
| 318 |
+
311 0.0782172325201155 0.493844170297569
|
| 319 |
+
312 0.0936906572928627 0.491143625364344
|
| 320 |
+
313 0.0936906572928627 0.491143625364344
|
| 321 |
+
314 0.109071620698272 0.487958380969374
|
| 322 |
+
315 0.109071620698272 0.487958380969374
|
| 323 |
+
316 0.124344943582428 0.484291580564315
|
| 324 |
+
317 0.124344943582428 0.484291580564315
|
| 325 |
+
318 0.139495553019615 0.480146842838471
|
| 326 |
+
319 0.139495553019615 0.480146842838471
|
| 327 |
+
320 0.154508497187474 0.475528258147577
|
| 328 |
+
321 0.154508497187474 0.475528258147577
|
| 329 |
+
322 0.169368960122646 0.470440384477113
|
| 330 |
+
323 0.169368960122646 0.470440384477113
|
| 331 |
+
324 0.184062276342339 0.464888242944126
|
| 332 |
+
325 0.184062276342339 0.464888242944126
|
| 333 |
+
326 0.198573945317391 0.458877312841991
|
| 334 |
+
327 0.198573945317391 0.458877312841991
|
| 335 |
+
328 0.212889645782536 0.45241352623301
|
| 336 |
+
329 0.212889645782536 0.45241352623301
|
| 337 |
+
330 0.226995249869774 0.445503262094184
|
| 338 |
+
331 0.226995249869774 0.445503262094184
|
| 339 |
+
332 0.240876837050858 0.438153340021932
|
| 340 |
+
333 0.240876837050858 0.438153340021932
|
| 341 |
+
334 0.254520707875186 0.430371013501972
|
| 342 |
+
335 0.254520707875186 0.430371013501972
|
| 343 |
+
336 0.267913397489498 0.422163962751007
|
| 344 |
+
337 0.267913397489498 0.422163962751007
|
| 345 |
+
338 0.281041688926065 0.413540287137281
|
| 346 |
+
339 0.281041688926065 0.413540287137281
|
| 347 |
+
340 0.293892626146237 0.404508497187473
|
| 348 |
+
341 0.293892626146237 0.404508497187473
|
| 349 |
+
342 0.306453526826489 0.395077506187845
|
| 350 |
+
343 0.306453526826489 0.395077506187845
|
| 351 |
+
344 0.318711994874345 0.385256621387895
|
| 352 |
+
345 0.318711994874345 0.385256621387895
|
| 353 |
+
346 0.330655932661826 0.37505553481523
|
| 354 |
+
347 0.330655932661826 0.37505553481523
|
| 355 |
+
348 0.342273552964344 0.364484313710706
|
| 356 |
+
349 0.342273552964344 0.364484313710706
|
| 357 |
+
350 0.353553390593274 0.353553390593273
|
| 358 |
+
351 0.353553390593274 0.353553390593273
|
| 359 |
+
352 0.364484313710706 0.342273552964344
|
| 360 |
+
353 0.364484313710706 0.342273552964344
|
| 361 |
+
354 0.37505553481523 0.330655932661826
|
| 362 |
+
355 0.37505553481523 0.330655932661826
|
| 363 |
+
356 0.385256621387895 0.318711994874345
|
| 364 |
+
357 0.385256621387895 0.318711994874345
|
| 365 |
+
358 0.395077506187845 0.306453526826488
|
| 366 |
+
359 0.395077506187845 0.306453526826488
|
| 367 |
+
360 0.404508497187474 0.293892626146236
|
| 368 |
+
361 0.404508497187474 0.293892626146236
|
| 369 |
+
362 0.413540287137281 0.281041688926065
|
| 370 |
+
363 0.413540287137281 0.281041688926065
|
| 371 |
+
364 0.422163962751008 0.267913397489498
|
| 372 |
+
365 0.422163962751008 0.267913397489498
|
| 373 |
+
366 0.430371013501972 0.254520707875185
|
| 374 |
+
367 0.430371013501972 0.254520707875185
|
| 375 |
+
368 0.438153340021932 0.240876837050858
|
| 376 |
+
369 0.438153340021932 0.240876837050858
|
| 377 |
+
370 0.445503262094184 0.226995249869773
|
| 378 |
+
371 0.445503262094184 0.226995249869773
|
| 379 |
+
372 0.45241352623301 0.212889645782536
|
| 380 |
+
373 0.45241352623301 0.212889645782536
|
| 381 |
+
374 0.458877312841991 0.19857394531739
|
| 382 |
+
375 0.458877312841991 0.19857394531739
|
| 383 |
+
376 0.464888242944126 0.184062276342339
|
| 384 |
+
377 0.464888242944126 0.184062276342339
|
| 385 |
+
378 0.470440384477113 0.169368960122646
|
| 386 |
+
379 0.470440384477113 0.169368960122646
|
| 387 |
+
380 0.475528258147577 0.154508497187473
|
| 388 |
+
381 0.475528258147577 0.154508497187473
|
| 389 |
+
382 0.480146842838472 0.139495553019614
|
| 390 |
+
383 0.480146842838472 0.139495553019614
|
| 391 |
+
384 0.484291580564316 0.124344943582427
|
| 392 |
+
385 0.484291580564316 0.124344943582427
|
| 393 |
+
386 0.487958380969374 0.109071620698271
|
| 394 |
+
387 0.487958380969374 0.109071620698271
|
| 395 |
+
388 0.491143625364344 0.0936906572928622
|
| 396 |
+
389 0.491143625364344 0.0936906572928622
|
| 397 |
+
390 0.493844170297569 0.078217232520115
|
| 398 |
+
391 0.493844170297569 0.078217232520115
|
| 399 |
+
392 0.496057350657239 0.0626666167821518
|
| 400 |
+
393 0.496057350657239 0.0626666167821518
|
| 401 |
+
394 0.49778098230154 0.0470541566592569
|
| 402 |
+
395 0.49778098230154 0.0470541566592569
|
| 403 |
+
396 0.499013364214136 0.0313952597646565
|
| 404 |
+
397 0.499013364214136 0.0313952597646565
|
| 405 |
+
398 0.499753280182866 0.0157053795390641
|
| 406 |
+
399 0.499753280182866 0.0157053795390641
|
| 407 |
+
400 0.5 0
|
| 408 |
+
|
| 409 |
+
Lines
|
| 410 |
+
|
| 411 |
+
1 1 2
|
| 412 |
+
2 3 4
|
| 413 |
+
3 5 6
|
| 414 |
+
4 7 8
|
| 415 |
+
5 9 10
|
| 416 |
+
6 11 12
|
| 417 |
+
7 13 14
|
| 418 |
+
8 15 16
|
| 419 |
+
9 17 18
|
| 420 |
+
10 19 20
|
| 421 |
+
11 21 22
|
| 422 |
+
12 23 24
|
| 423 |
+
13 25 26
|
| 424 |
+
14 27 28
|
| 425 |
+
15 29 30
|
| 426 |
+
16 31 32
|
| 427 |
+
17 33 34
|
| 428 |
+
18 35 36
|
| 429 |
+
19 37 38
|
| 430 |
+
20 39 40
|
| 431 |
+
21 41 42
|
| 432 |
+
22 43 44
|
| 433 |
+
23 45 46
|
| 434 |
+
24 47 48
|
| 435 |
+
25 49 50
|
| 436 |
+
26 51 52
|
| 437 |
+
27 53 54
|
| 438 |
+
28 55 56
|
| 439 |
+
29 57 58
|
| 440 |
+
30 59 60
|
| 441 |
+
31 61 62
|
| 442 |
+
32 63 64
|
| 443 |
+
33 65 66
|
| 444 |
+
34 67 68
|
| 445 |
+
35 69 70
|
| 446 |
+
36 71 72
|
| 447 |
+
37 73 74
|
| 448 |
+
38 75 76
|
| 449 |
+
39 77 78
|
| 450 |
+
40 79 80
|
| 451 |
+
41 81 82
|
| 452 |
+
42 83 84
|
| 453 |
+
43 85 86
|
| 454 |
+
44 87 88
|
| 455 |
+
45 89 90
|
| 456 |
+
46 91 92
|
| 457 |
+
47 93 94
|
| 458 |
+
48 95 96
|
| 459 |
+
49 97 98
|
| 460 |
+
50 99 100
|
| 461 |
+
51 101 102
|
| 462 |
+
52 103 104
|
| 463 |
+
53 105 106
|
| 464 |
+
54 107 108
|
| 465 |
+
55 109 110
|
| 466 |
+
56 111 112
|
| 467 |
+
57 113 114
|
| 468 |
+
58 115 116
|
| 469 |
+
59 117 118
|
| 470 |
+
60 119 120
|
| 471 |
+
61 121 122
|
| 472 |
+
62 123 124
|
| 473 |
+
63 125 126
|
| 474 |
+
64 127 128
|
| 475 |
+
65 129 130
|
| 476 |
+
66 131 132
|
| 477 |
+
67 133 134
|
| 478 |
+
68 135 136
|
| 479 |
+
69 137 138
|
| 480 |
+
70 139 140
|
| 481 |
+
71 141 142
|
| 482 |
+
72 143 144
|
| 483 |
+
73 145 146
|
| 484 |
+
74 147 148
|
| 485 |
+
75 149 150
|
| 486 |
+
76 151 152
|
| 487 |
+
77 153 154
|
| 488 |
+
78 155 156
|
| 489 |
+
79 157 158
|
| 490 |
+
80 159 160
|
| 491 |
+
81 161 162
|
| 492 |
+
82 163 164
|
| 493 |
+
83 165 166
|
| 494 |
+
84 167 168
|
| 495 |
+
85 169 170
|
| 496 |
+
86 171 172
|
| 497 |
+
87 173 174
|
| 498 |
+
88 175 176
|
| 499 |
+
89 177 178
|
| 500 |
+
90 179 180
|
| 501 |
+
91 181 182
|
| 502 |
+
92 183 184
|
| 503 |
+
93 185 186
|
| 504 |
+
94 187 188
|
| 505 |
+
95 189 190
|
| 506 |
+
96 191 192
|
| 507 |
+
97 193 194
|
| 508 |
+
98 195 196
|
| 509 |
+
99 197 198
|
| 510 |
+
100 199 200
|
| 511 |
+
101 201 202
|
| 512 |
+
102 203 204
|
| 513 |
+
103 205 206
|
| 514 |
+
104 207 208
|
| 515 |
+
105 209 210
|
| 516 |
+
106 211 212
|
| 517 |
+
107 213 214
|
| 518 |
+
108 215 216
|
| 519 |
+
109 217 218
|
| 520 |
+
110 219 220
|
| 521 |
+
111 221 222
|
| 522 |
+
112 223 224
|
| 523 |
+
113 225 226
|
| 524 |
+
114 227 228
|
| 525 |
+
115 229 230
|
| 526 |
+
116 231 232
|
| 527 |
+
117 233 234
|
| 528 |
+
118 235 236
|
| 529 |
+
119 237 238
|
| 530 |
+
120 239 240
|
| 531 |
+
121 241 242
|
| 532 |
+
122 243 244
|
| 533 |
+
123 245 246
|
| 534 |
+
124 247 248
|
| 535 |
+
125 249 250
|
| 536 |
+
126 251 252
|
| 537 |
+
127 253 254
|
| 538 |
+
128 255 256
|
| 539 |
+
129 257 258
|
| 540 |
+
130 259 260
|
| 541 |
+
131 261 262
|
| 542 |
+
132 263 264
|
| 543 |
+
133 265 266
|
| 544 |
+
134 267 268
|
| 545 |
+
135 269 270
|
| 546 |
+
136 271 272
|
| 547 |
+
137 273 274
|
| 548 |
+
138 275 276
|
| 549 |
+
139 277 278
|
| 550 |
+
140 279 280
|
| 551 |
+
141 281 282
|
| 552 |
+
142 283 284
|
| 553 |
+
143 285 286
|
| 554 |
+
144 287 288
|
| 555 |
+
145 289 290
|
| 556 |
+
146 291 292
|
| 557 |
+
147 293 294
|
| 558 |
+
148 295 296
|
| 559 |
+
149 297 298
|
| 560 |
+
150 299 300
|
| 561 |
+
151 301 302
|
| 562 |
+
152 303 304
|
| 563 |
+
153 305 306
|
| 564 |
+
154 307 308
|
| 565 |
+
155 309 310
|
| 566 |
+
156 311 312
|
| 567 |
+
157 313 314
|
| 568 |
+
158 315 316
|
| 569 |
+
159 317 318
|
| 570 |
+
160 319 320
|
| 571 |
+
161 321 322
|
| 572 |
+
162 323 324
|
| 573 |
+
163 325 326
|
| 574 |
+
164 327 328
|
| 575 |
+
165 329 330
|
| 576 |
+
166 331 332
|
| 577 |
+
167 333 334
|
| 578 |
+
168 335 336
|
| 579 |
+
169 337 338
|
| 580 |
+
170 339 340
|
| 581 |
+
171 341 342
|
| 582 |
+
172 343 344
|
| 583 |
+
173 345 346
|
| 584 |
+
174 347 348
|
| 585 |
+
175 349 350
|
| 586 |
+
176 351 352
|
| 587 |
+
177 353 354
|
| 588 |
+
178 355 356
|
| 589 |
+
179 357 358
|
| 590 |
+
180 359 360
|
| 591 |
+
181 361 362
|
| 592 |
+
182 363 364
|
| 593 |
+
183 365 366
|
| 594 |
+
184 367 368
|
| 595 |
+
185 369 370
|
| 596 |
+
186 371 372
|
| 597 |
+
187 373 374
|
| 598 |
+
188 375 376
|
| 599 |
+
189 377 378
|
| 600 |
+
190 379 380
|
| 601 |
+
191 381 382
|
| 602 |
+
192 383 384
|
| 603 |
+
193 385 386
|
| 604 |
+
194 387 388
|
| 605 |
+
195 389 390
|
| 606 |
+
196 391 392
|
| 607 |
+
197 393 394
|
| 608 |
+
198 395 396
|
| 609 |
+
199 397 398
|
| 610 |
+
200 399 400
|
CylinderKnMa/Kn0p34/simulation0743_Kn0p34Ma6p2/Grid.pvd
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
<?xml version="1.0"?>
|
| 2 |
+
<VTKFile type="Collection" version="0.1"
|
| 3 |
+
byte_order="LittleEndian"
|
| 4 |
+
compressor="vtkZLibDataCompressor">
|
| 5 |
+
<Collection>
|
| 6 |
+
<DataSet timestep="300000" group="" part="0"
|
| 7 |
+
file="Grid/Grid_300000.pvtu"/>
|
| 8 |
+
</Collection>
|
| 9 |
+
</VTKFile>
|
CylinderKnMa/Kn0p34/simulation0743_Kn0p34Ma6p2/Lambda.pvd
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
<?xml version="1.0"?>
|
| 2 |
+
<VTKFile type="Collection" version="0.1"
|
| 3 |
+
byte_order="LittleEndian"
|
| 4 |
+
compressor="vtkZLibDataCompressor">
|
| 5 |
+
<Collection>
|
| 6 |
+
<DataSet timestep="300000" group="" part="0"
|
| 7 |
+
file="Lambda/Lambda_300000.pvtu"/>
|
| 8 |
+
</Collection>
|
| 9 |
+
</VTKFile>
|
CylinderKnMa/Kn0p34/simulation0743_Kn0p34Ma6p2/Lambda/Lambda_0_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p34/simulation0743_Kn0p34Ma6p2/Lambda/Lambda_1_300000.vtu
ADDED
|
@@ -0,0 +1,27 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
<?xml version="1.0"?>
|
| 2 |
+
<VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
|
| 3 |
+
<UnstructuredGrid>
|
| 4 |
+
<Piece NumberOfPoints="3030" NumberOfCells="2900" >
|
| 5 |
+
<PointData>
|
| 6 |
+
</PointData>
|
| 7 |
+
<CellData>
|
| 8 |
+
<DataArray type="Float64" Name="id" format="appended" RangeMin="101" RangeMax="12900" offset="0" />
|
| 9 |
+
<DataArray type="Float64" Name="xc" format="appended" RangeMin="3.5698" RangeMax="5.9574" offset="5692" />
|
| 10 |
+
<DataArray type="Float64" Name="yc" format="appended" RangeMin="-4.9573" RangeMax="3.5043" offset="6236" />
|
| 11 |
+
<DataArray type="Float64" Name="c_6[1]" format="appended" RangeMin="0.016019" RangeMax="0.078589" offset="7132" />
|
| 12 |
+
<DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.18786" RangeMax="0.92163" offset="33060" />
|
| 13 |
+
</CellData>
|
| 14 |
+
<Points>
|
| 15 |
+
<DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="3.5273906772" RangeMax="7.8102496759" offset="52932" />
|
| 16 |
+
</Points>
|
| 17 |
+
<Cells>
|
| 18 |
+
<DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="61980" />
|
| 19 |
+
<DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="80936" />
|
| 20 |
+
<DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="86084" />
|
| 21 |
+
</Cells>
|
| 22 |
+
</Piece>
|
| 23 |
+
</UnstructuredGrid>
|
| 24 |
+
<AppendedData encoding="base64">
|
| 25 |
+
_AQAAAACAAACgWgAAmxAAAA==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AQAAAACAAACgWgAAjAIAAA==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AQAAAACAAACgWgAA40sAAA==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AQAAAACAAACgWgAAJjoAAA==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eJztwSEBAAAAwyC9/oUf4hYoAADgMdglZfU=
|
| 26 |
+
</AppendedData>
|
| 27 |
+
</VTKFile>
|
CylinderKnMa/Kn0p34/simulation0743_Kn0p34Ma6p2/Lambda/Lambda_2_300000.vtu
ADDED
|
@@ -0,0 +1,27 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
<?xml version="1.0"?>
|
| 2 |
+
<VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
|
| 3 |
+
<UnstructuredGrid>
|
| 4 |
+
<Piece NumberOfPoints="1818" NumberOfCells="1700" >
|
| 5 |
+
<PointData>
|
| 6 |
+
</PointData>
|
| 7 |
+
<CellData>
|
| 8 |
+
<DataArray type="Float64" Name="id" format="appended" RangeMin="12901" RangeMax="15064" offset="0" />
|
| 9 |
+
<DataArray type="Float64" Name="xc" format="appended" RangeMin="-4.9574" RangeMax="3.4845" offset="2984" />
|
| 10 |
+
<DataArray type="Float64" Name="yc" format="appended" RangeMin="3.5897" RangeMax="4.9573" offset="4152" />
|
| 11 |
+
<DataArray type="Float64" Name="c_6[1]" format="appended" RangeMin="0.016334" RangeMax="0.030247" offset="4472" />
|
| 12 |
+
<DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.19155" RangeMax="0.35471" offset="12284" />
|
| 13 |
+
</CellData>
|
| 14 |
+
<Points>
|
| 15 |
+
<DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="3.5471440458" RangeMax="7.0710678119" offset="20128" />
|
| 16 |
+
</Points>
|
| 17 |
+
<Cells>
|
| 18 |
+
<DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="26284" />
|
| 19 |
+
<DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="38588" />
|
| 20 |
+
<DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="41656" />
|
| 21 |
+
</Cells>
|
| 22 |
+
</Piece>
|
| 23 |
+
</UnstructuredGrid>
|
| 24 |
+
<AppendedData encoding="base64">
|
| 25 |
+
_AQAAAACAAAAgNQAAqwgAAA==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AQAAAACAAAAgNQAAWgMAAA==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eJzt1T1LAgEcwOGIBiH1XiQQBJdwkMOpL2CDObU6CjUo16DggTS0nE0NTg5CnHLc5hYpaE6CREOEUMotLjeFjbfdZrv/j/Cbno/wKM6FN5nGiwoiHujr4eWqlkBEQffpJdidJRFR0Dxq2ifviCgZufXxn6UgomBw2ht1NBURBUvlVqSYiCjZ7Tf0xwUiSobf17dqWkNEwUqy8DpoIqLksJr/VD8QUfL4OZYZZnVEFKxvfu+MNiJK/icyn30homTqZvlj5FKIKHjveOdvD4goufVt62qNiJJ7jC93YA==AQAAAACAAAAgNQAA0RYAAA==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AQAAAACAAAA4VQAA9xEAAA==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AQAAAACAAAAgNQAA6ggAAA==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AQAAAACAAACkBgAAFgAAAA==eJzj5BwFo2AUjIJRMAoGJwAAoOg7xQ==
|
| 26 |
+
</AppendedData>
|
| 27 |
+
</VTKFile>
|
CylinderKnMa/Kn0p34/simulation0743_Kn0p34Ma6p2/Lambda/Lambda_300000.pvtu
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
<?xml version="1.0"?>
|
| 2 |
+
<VTKFile type="PUnstructuredGrid" version="0.1"
|
| 3 |
+
byte_order="LittleEndian"
|
| 4 |
+
compressor="vtkZLibDataCompressor">
|
| 5 |
+
<PUnstructuredGrid GhostLevel="0">
|
| 6 |
+
<PCellData>
|
| 7 |
+
<PDataArray type="Float64" Name="id"/>
|
| 8 |
+
<PDataArray type="Float64" Name="xc"/>
|
| 9 |
+
<PDataArray type="Float64" Name="yc"/>
|
| 10 |
+
<PDataArray type="Float64" Name="c_6[1]"/>
|
| 11 |
+
<PDataArray type="Float64" Name="c_6[2]"/>
|
| 12 |
+
</PCellData>
|
| 13 |
+
<PPoints>
|
| 14 |
+
<PDataArray type="Float32" Name="Points" NumberOfComponents="3"/>
|
| 15 |
+
</PPoints>
|
| 16 |
+
<Piece Source="Lambda_0_300000.vtu"/>
|
| 17 |
+
<Piece Source="Lambda_1_300000.vtu"/>
|
| 18 |
+
<Piece Source="Lambda_2_300000.vtu"/>
|
| 19 |
+
<Piece Source="Lambda_3_300000.vtu"/>
|
| 20 |
+
</PUnstructuredGrid>
|
| 21 |
+
</VTKFile>
|
CylinderKnMa/Kn0p34/simulation0743_Kn0p34Ma6p2/Lambda/Lambda_3_300000.vtu
ADDED
|
@@ -0,0 +1,27 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
<?xml version="1.0"?>
|
| 2 |
+
<VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
|
| 3 |
+
<UnstructuredGrid>
|
| 4 |
+
<Piece NumberOfPoints="540" NumberOfCells="493" >
|
| 5 |
+
<PointData>
|
| 6 |
+
</PointData>
|
| 7 |
+
<CellData>
|
| 8 |
+
<DataArray type="Float64" Name="id" format="appended" RangeMin="13001" RangeMax="15093" offset="0" />
|
| 9 |
+
<DataArray type="Float64" Name="xc" format="appended" RangeMin="3.5698" RangeMax="5.9574" offset="892" />
|
| 10 |
+
<DataArray type="Float64" Name="yc" format="appended" RangeMin="3.5897" RangeMax="4.9573" offset="1296" />
|
| 11 |
+
<DataArray type="Float64" Name="c_6[1]" format="appended" RangeMin="0.015956" RangeMax="0.030062" offset="1540" />
|
| 12 |
+
<DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.18712" RangeMax="0.35255" offset="6272" />
|
| 13 |
+
</CellData>
|
| 14 |
+
<Points>
|
| 15 |
+
<DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="5.00219233" RangeMax="7.8102496759" offset="10668" />
|
| 16 |
+
</Points>
|
| 17 |
+
<Cells>
|
| 18 |
+
<DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="12340" />
|
| 19 |
+
<DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="15636" />
|
| 20 |
+
<DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="16600" />
|
| 21 |
+
</Cells>
|
| 22 |
+
</Piece>
|
| 23 |
+
</UnstructuredGrid>
|
| 24 |
+
<AppendedData encoding="base64">
|
| 25 |
+
_AQAAAACAAABoDwAAiwIAAA==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eJyTE8vy/dzH42DLdX1xgS2vw9QrnBlKb3gd3s6z0bkyi8/BJTP/Q6snv0NK7B035h/8Dvcmt7dGBQs4cP5ckL55lYCDZPF1oU+Mgg6uNz588YoUdCgEGbRB0GHOIuWdf9iFHNbIRKVYxws53GgsdpuyTciB5XmPxlteYQfhxMOXtVOFHeyP3dnaskfYIVv72/S7wiIO0yfwV5llizgs43JTLT0k4nApP579nKSow78rFS/VCkUd+PzXT0k9IepgueVE2T55MYdUyUcR4uViDhPrflsVnBNzWPjD8Nk6VXGHM7HeJ9hrxR1+HEpZlXBF3EFu1J+j/hz156g/R/056s9Rf476c9Sfo/4c9eeoP0f9OepPOvgTANBWU0Y=AQAAAACAAABoDwAApQAAAA==eJzjn2O8aMt2Hgf+YU5fF/rkeD6Nd9jTCzo3PHwpyjfs6UyG/EaWo8Of/rkgffOrYv5hTz/knryySVBg2NOu7kU/+TOHP907PU+o+cDwpz9d8k0SkBAc9nQYn+6mufnDn54Xp3la4Pjwp5lmcUjPkxMa9nT61edZ2mXDnwZG6q4dZ4c/LZx4+LK2qvCwpyvmLFLeWTP86TvXG4vdrgx/GgBVFzmoAQAAAACAAABoDwAAyw0AAA==eJxFV2k4VW0bVaF8KYSSBlKiIo0f0tsiiQb0mSIkvRp4JVJKGlCRUHs4I2cfJJWolCYkQ1QSRRFJUiKipMzi27quXr/2tfe5n72f9dxrrXsd14KD2ysjSYzbP3fPla8krrekTq76m4LOwrNPLV9R2L2qyef1Bholxe7dMx7SID0cvvkaceDjuXzO1xscTH++yzh7KhdOdbkNa0kuatfollyV52GqfZif/mkeqkL813K6eIi3JeKiXfgQ/QrZV/OAD8UK5zHOmgKYvDoqYRMrwIWU/QeZCUJUP5uVfIoSQtA78dgHiRjs0F/aV+YbgyE1rY0qJTFYuSi4PWFNLC7OGy16VxiLbS1NlmbzRTip0C+5KUqEudMPR4Z3i1CTqP/W3IeBY5MKkf2OQdsCuXLbBgK5mhJDnPkk1pkbCiyDSVS9CrQbqCNhlOpbbG5DIfmdatX8PAr+O7NWq+nQiDG1Ga9J04iyUNpS+YuGf4eGYvs/HFx+3x56+hUHS5fLvCPWsrjdFYUZuVxQzS+aA/V5oIeK6rITeRgo9C66Mo6P1HqN7v0H+DirNj9aUM1H9syNZ85ZC+DBLV+aXSDALndro4HlQliN3/pT+YIQ1rM2tzjJx4DdtLyffwx2Wuq0K9fG4Nz7tU8nr4vFnexaanpaLKzaLV/uGiuCUcS4IY3dIlQHfTcLuk9A29R+Y1IcgZMWYdOdnxMwkbu9R0WKRJlaTOA+SxLprglyvBskJi8XhNXPpuDVv9khhkNBImW2+YoxNJrslkjY+dEYazrD4d4nGmVPs3NTN3FgY/644sk1Dt58clarnMbF+10uBvIUF9/ORlU0DnGhIDE9qMuFhw8Bux2jMnmYEK0VaiDHh0tT3cJ+Fr+UUkvz7HY+tO85/u+EpwD7LsrUWD8S4Lz2C62OOUJMWT/3UkCYEPa1s2NTGoVwTI4/37I5BrYv2jSjy2Ig8V/11S6Gsfj1M245BinE/7JQmOpAwlewmwi9RCCtuD3OJ57AXz/2VR19TOCmx9lPrp3sc3LOuM3GJB5dklB5Hk/CQPHlKcdfJDpe3tPPcafwYbg9jylkZpWGDSylMTvUz7dZQEPjQyN7EhzIBSUEt23jQDd9XKHDCw6OTMjzm6rPxdHZmbtcE7mo0DgvuD+Kh8C0Qp84ex5Y0FqLGB4sc6+zX+Yjhv/wq1EYHwM+mTvCe/jYO8Gbu81PgMyFA++PtAjwnd11rpEQDkev3dl+XAjx7ZqFy14LUfmoSkYvTwg4tNfIf+Si57Rg0rqfFKhWBa8wOxJz/qP7ZfAGgcLilxnnOQQm93aaeqcRyO/xfBtbRyCr9TXzdSUJq3TjLNMzJOxGb5+0sIHE1uwzURMtKOzI1+v8cZFCUNV4Ke+xNBTHHzG7u5WG9edOre8ZNPr4F5YUTueg/yqjLRPBgVa3kZJUHweBYw+V5+/govdESNO7h1xcd5Z81CfNg2rShiHKjodCuz6ZXXd52Cx48Fp+Oh8f9waFFgTwMU9TMqXlEx+chPkXy1n+25ZOCdJ7IMCXh4cTHQRijK4KHuf3SYSdeQVqZowQW8yO724s4iJRw0qruoWC5IGnidPcScTrKycvukMgosx/vGsEAZHVzYpPLH7KKfth2wsCTj19W/iqJBZv/XGl1ItEhGtNjW4Rq/e79Ol2PQqvp8jsMeRTUE6RdvfppmBVPrD4qiWNB+Ebzhol0bBIPqn1s49G6hj1ry32HDw6NWaWUy4H1nMEXjt1uXAr9d78+QQXKi7+5kPFXFTah2yRnclD5BW35iOHePB/PanD5DkPN7zkGwP0+Aitd3koG82HBHmsf4WvGF2xEc2rU8WwdvwwaoetGBL78k+WpYrg+XhCTqyPEAWHSlJWpHAxISJI5+hn1o87voRXbSNhohNrOOc2gTVLGqoOhxFoofyiPM4RsP6r/P0d9jySc7a65/0icDf9+koLa7a+4nOFRBKJktSk4FtDJFaX9g8ZsHwvlIiYu6mAQmeoNWtpLN7Ji0KcD9LYNK2i2biSxnUZz2gTLQ7sLeUPqAVzUD+nRO3lGw48h1W2gIuOG1nG60JY3+N0bJGp5SKnvLddx4QHe+tGtaM0D7ZBCnsev2LgpUQ9a5khhrvNkSOrA1jcpbtTqCdipLgqlqueEGPq2aal8e9ESPq5UW8xTwhK+u7tU01cfJBSSPacQoMf2WP17DDrV7ds/TPyCCT9qHcKjRrh+x/+B6rftFD8RqA+/YBvmj4J2afLYlyiSAQWDTV8e0fi6UWXeteFFHaZvVoTd46C5f0xKz3rKdwJvajpsJbG0w+Ds18m0PCde3H8DbbvUonUilGWHEy4rJ/YmMLB+IqSwroulgcqjo+/m3Kxq707spr1vamSDhN1bzKIXj3MPAall3vn91YxsD7wpMR3jBhWmmOMlfXFeHYvOaTRX4yMyEVmGcvEyM97V0CIRMj7WJMlfVSIqedsZKw/c7FCoy7plSYNNSXOeW4QCc7b4cFCwKs3JGVlCIGf+gnyo8IJOAtOBVilE/htP58IbPUYfSx6DonG53elNhwg8XHAUntNLomTr9paF8hRyF8mq6ZgS6GC4zHj7DUKitrbFR5OpNG5w/NS4z4alb5kUGYmjbSoCbWtchyUkFw36b858K9Yad6QxcEwWzTCGNSvnpkXzWFglhnHTnQGdTmBfh9SGFzxkLj84RGD5zVVrRadDF52q4Z+XCLGbhPtbx93i/+9Z4dXVtljEZ7cTtguyhFC60RiQ4UhD+GTq0u7bWnkGfX+rOKR8HYz1nvL4vZ8dL651YPANHa1jxcBvSWjctZSBKLbbsd3PyJgsdj4vIwSiUlhozZc204iaaPX7jFpJAZUhhVIovvcqc/yBhQ4/TPOjD5Kwbdkxi+91xSeZ92IX6RNY/G2InudYzTS3Q5m/iigcSLcs+6tG4P45Ne6o/9mIMxckLXNl+2v2yHNIn8Go8W3fJ1OMfgn5K+5NjEMLBJHa9XkMjBcLd3R2sEg6vzYVdILxFBvVWKdRYzpL8qVvWeL8ahWfcuCNyL4HmkTao6KgVhLnC51kodGyT37ei7QSPmyyXJdJYmWA5G5jqxvUwGJ53qDCVi+VnSdcoxAv5OOWQeXgHqZ5BnHAgJsWOrdJU3iNw3tSSw/vNzY8zKJvu3fCqe0jfjcH9xP7sgabCii4Hk2dWCJCo2GnoTy00IGlwdN5pieZWD+15pEo9MMFHfsndcUOXI9+LY9q5nHoPvAe5FCEoOlvsYbNqcx+KX0OGRzMfvcse+FFNvv3gf37JJ0xfA+vGnTGQcxOk8RPwYhRvf11GXzpBjkOq3n0ZticMhUVdmgmge/5PXOLh9p/I6RP0nENVmzzkPgTfGdl5WnCYRc/1z5z2ECY2/XvYlg+728rCkx6h4B10HTvrYvBNomzpO2WEbisk362C0hJMz3P89cW0xiyr2VlVGyFApazi2SdWT1LRdYXHGOwS2nzow3ZxgccuOO5x5nsNBu8Pb9fSM4U24VLl9FMxhORQmxLI97hgEx4Cxe9WzrHQaR7LTMf8BgT1N/8vdyBqq/jY3B2heCda/Gi9HwoGKFn6EY3xqTJ2ZMFcNZa+HjBfIMPJr2eAdciEFC5bJvBmZ8dG09UjZTjwNVn9ymcAUKc32/+IhbCDQNL/Mh8FUwTDgC5ckL4j4FEvhHx31PFEPApdjDQMzmuBqlc5FeCiS2Pc0dpetKYv1hlS2MiMQJrxOKZdcZ+HjF94qyRvqjbeF9UO4Fgxu2qaonMxiYhBzsaL7B8tWtNbvnPIMqNh18F430X9LOINTuzAgv0tRLHJcxrA4Ys292LM9VbhHBZZ8YBOw12x6qKobG3oy+G+vECHS8vLzESIw8fcu4GaxeVFrD9kQuiUWgmrm/BzvvRTZbFySwPrJz0vDEoXA8R6DrpExi4dCsX10HCJQFbKzluo6cwx+dS17nGS1lfX/fYulKvwECKr8LR/oWHKJuHHZ2pH+bJYeci9j7/wZEtFwNYTDUtMhta/AIvj/rA6n9JQ1snx2Gx/ZF5t/zi4/67t7F+vk2J0+b/2Qy+J6h2JpTymDQ/KLppSbW58xV31ZOFqN5fq3rLlMx5DoOL5q3SgxjK8GiGPa98Wem3RXExSIuVeXaxGABsv2Hkzg7JxoW5it9opB+OLwmgc0vdHLo/9axfT32O1gQaNYZDpYjvO+QqQ6cxu4vKyj4azGrU73w2oOyLI97e0623o9mIDFNftY1tm/DaUTqwgiOP/Wx6i2rJJIZNHskdx5LHPHrP7r/U+fbtmadBbte4cPTaqPEkffVynS5NbHv0wnhVN3OZrCscrC06zODnmG7URAjgU3lK9TEsPCdvSOSrZ/rr/PtCvs/5KL7cEIVokr7i77iSy4SQh+O17ChMbOgVGnFdRJEouHNjmICrcqT38odIlDwoqVBtpBBq6VsUVEBq0t9lZa0fAbSmV1SP9nrJOUrsZE5DPYyx4ejLJaoB2X3f2RALujUGcfy0HA4Zlcy4KsmxCWzv6+rrP88v5ZBcceBqYMv2fyx+JCgq4RBuG1j47QyBhEyXj2T2fqhp+tpG1YX9ou5x/Kr2bmmadAZ0sDqXclRwlaazWPXPB6vVRfDUFN9bv1qVtdFD1df9RRDe2J8XfdeMcStO9eC5X/k0jBDk1gRpHee0qh9LkT0to99B4/y0BDyRMPyPg3Zq1alm96S+D/eU4QBAQAAAACAAABoDwAAzwwAAA==eJxFV3lcTWkYLpIllWUsMQppHUKEVB5K9kJMNFLWEVKGyYiELEm27DEqSfYQqUiiRuecu517b98pirQoJUUkZJnv3LnGX+d3f+e73/ne91ne57ORdMq/ncHCusO7KOfJHE6/7XVnfBOHevnjVT1OSNDQ23/j75OlIP1G5hp+kMLwS1ffy+dlmHJ8ecscbzlat99ttrheDj1vo0GppxR4eWXrlS4DedhXpVhUbuNRPGxqq4ICHrpPW9GVStxe2f5jwjIlVjkeK7+YqkS6Uoe+UWGe/4Cbz31VSIk79HRktgqmX09cnmmsxupbmUNdFqoxZEnIpeokNWrXS8cu/azGsStN7q7zCuBRfC9VlVQAzJl3/V5dAcaduB4w2okgKNq+95KDBB7LrLadqSQYnnhz5IcHDOpdfNeU2LBoTFt2VO88C/vWR940DOMQalpyKq2Yg8+TWseaTRL4LT52/mkvKcrc/emWUsw97yBz8pShT9/jZ/IbZOho1nlW/yg5Rr295Dh2iAIz8hfr21YoYJg7Me/wJB6Zq/sOMDjO48v9nLUNZTxGHAqmlShhcVU+tO9GJUb4nDFNVCoxMEviHmalgmVp4NrFG1Ro3zvOz0aiwk1mXXZ8LzVaQmfFdFisBi0m5sY1NRzrDxsJ39QY92axdP7UAljobz3iFl2Ac20Gf+qgKkBGjSI8aReDud+qh/j7MRh6uOsr2yQGUR0vrTd/y0BqcG2/53xWWweLJU6l0/ce40A3Y9q6SBBDrlAEJPjVo1OI2RYpxC4U2cpwyi46SpYvw5eIJ9dWzZQjOrC65cIbOZwqf8/QjVdgze59lY1mPCJXiY3n8XoHO/v+eR6TC6dlP6rikXvLPdbQXomjqR3/uByt1OKixMlRmaWnrVXQHGeVCtlPv7zxS1MhVIS5RQUnXY/thtPVyMxXRdqdV6ObToXJ8HdqLM2f0NevUAKVV6jTg+UsbhXbDS9czkB3xYpHv/kzWFScKNWPZSCf1WfNsBIGVo9/nfRxMou4NHEhi9GaBnE4d+PQ/ZmNHApzvNt3j5QgC08veVtK4VZuOtXsthTBg5fvEWbKoOMlnlSGqI0DN72IkMPA7123JBMFyBFFo3OGAud7Vge79uNR1T+76w0/HsNWfeOmHOIRHFd74CTFP4SRrW49RgkT7zcTqmKUCCPcdv9aJQLXbzg70E2FuVemfTgbrsLFdP1bU66pUK67dFbKaxUeDgt4Ef9MBdcjJ1z4DjwMNTBK8NYnru1fy1ikL9r8yCWUgfPQl//M8GRQuDzpbOM6BubFH8NXZDHw0AiaRVaK/7Xet1ikJYfm24zmoH9nIe0Qh1OnOu47OEeCxL8D5vR7LsHyh4k1dUuksFz9MiiuVoqx7zc052+UoYOdd8GCXnKsmfFgWvE9OfpqCKiAcaZJUE61Ajuu7+jb1oKHHpfsWzafR+e99X3XJfPYJzXfPOQ1j1IRVop/yRaFsfl2Jb6sMOokpfxPzrhYd6e/CvRwg7hAAX07Ojeb2hFktenyEx6qsPfvHS6vXivgmrqlfcltCcLGT4sasIHF5fK9dGcGej+LnWHAUbYl0fr/+y6D5IUfdh3vwmKiy/gzTrtY5Ba5HtjWhYP7nQ42uMChvDI8MnGsBJK/RWJLUDuv6k+faVLgwvua9VKpli8yzFnA1HorZLixsfHajJVy3BhnaeJooIBKtK3dCkSWdBz57K0CU2v1hncewcPow+chrut5/NKS0u5rOg+zwp27//jKI6oh73IPNyWen1wVNG26AMVk0VkFLR4CSgJ0grfqEayMON+ik6SC/Zru72/mKjBxzUfjmnQJFn6Jzw0LZbFutsO4gk0M1B6LOs11ZNBUXLh17QRGq1cGE//q5DTrBYNLetG5sf4sroYdrb7/hNZ/xzfvr0Ucvk7qTCnIoaci4fTmCAmuXp86O9hQCndDsWNSrOhq1ez0kww3fZoyH++WgZJvkbuhHLtbbeo//aAcEyxCWp1op0BW6EW3oJ0KTEmbTp2Ph6MyxZWbzqOt//Fp3fbw6OeToxf0hKCH0fYlul0FJO01F8pnCfijt+GzQQcEvIj4dNRxvoCOz8dTRAh606kj5Kgg+dBs0sOI1/q8BH1cwoPV8Sy+jal4sPUAg5lD5aXbXX/wffzOX7NiKP9FVqaqGGhs1oWFe5e7exZlsgia+fu2afYciuJ8uiQkc+g60GhZuIMEbZ74qXpekaDXmRDaUSmWrj6cNTpfihO3Ni89S3HPbbL23f9Aht+K1EabPSjufuJJ5TgyKfHYzIEKVHrWLPhCfS/nSF1Ruzx6/i7Ncz/xBBUXUxt2PyOgQ6bP5W8EXcm81vMsBJhwUeu6eQmYbj7oSLq5gDcBFbvSPhTA7F2g96YUFczsRGfnUbb5l0fXO0vx8JwOhYjFzt6vPy7czsDkZ3FyMAjLqMyYNZpB+1HbbR02MtjxV+auhjwGe06LAmZxOyF7qecxFqenyEwD2nAI/7OWWxbKoX+U34TrJRxW0a/dWiSBZlw3SPBg+f3o7Agp5n91+/TqpRQ2L94ffBggQxBl6dxyGYYUGRZ3XypHTnVk5wdnCJxXps8PSCGYonKgrSYYfVCyedI9gmEffz/ZW02QvWLpg8FNBD2PFLQP6C/AYLHBOKMpwv+/jbKHxNr2JPBO3+C5oVSF4zvLzBdN4REALwqlFBPolGAZFlT8JWm0brK+xnJoOwYX36go4xlYagyS0c5XBoZUfbntWPi6WN0NDmMhmXLIi3/ForWb+AUOQ+5YGRukcbA6m1A8tZcEZqduN/rESdCsLxJVisB5hx/1PSQFvzA7S6dFisa2rRV3I4lW3wRJJtHJNw4RdB7hfNfrKEFg6gTqKATJVgPfbEklaPVLZPdHcoJPGSNm73lLYN7tYfeInwV0q/jsYT1ewJ2Mvfqvuwugh3sVa0FQaawft1HMNSLdtvBIFW2T+s2yDqcKiyw4tDvskfngDoOvBWLhDH6zDZ44ahCDfXSXSTMYaLY/zOBx2VW2VxODdANZSC86/1pi+ttfLmdROLxhlPvEHz73ve7/6pGgH/3azS8SeDXW/tyanv+WGIMuEOyIFYlPtLnoxzPfbuZdh2sE9WFw8LtNtLqg/izaifADb6fPDjTRCDgSP7vlT2dBmwMFBGgMhGh1pcYcOmWH3eNh7L51TIyVTKsLDhvplCEcg5oCcaAyaJSNGJlsxeCGbG9N+6mMlqcMYsJbRq+WU5/TNIbm1vE5/WZfYDHVOSGQ68bhMfvMOjSEg+exf/KqKjhYVm6Lk10k6DR/Rqn9OaLNKwSDnwygyelHnYd0HNICrxB01wBOcHPfRctdtN6I6qe5FvkEY0LFBEggqsm0hEBDt1cE7zcbvX3eRkDc8aZF1lYCvKkbVRoLWDfdtPsKD6LNFWqEHOpJI7IS8aINHZVBv2jiuZQwTos/A1HNCd0YlH54TBMznePi2LBkMP/egpGB8xjcSxeDHYPmq5eH27RhEZnncnTMnyw0sVTJwkEThAj8tmyiiifYFiQGF8rjiuYRXx4RLHyW2byaJdq5QvC6ZCN1EgLNuLpJcYycus+J4h/huOHz02SCTaG675WUF/eM/h6WSN+niHGb8twqIepaWQ3R6lFA1PEuk9/ZC7ChrGiyFv7Xizg1JzeosUvcdpsSmvi9RA75LtXTZwYS+GuMn0WwrdfCwH6Mlpf5//fhu84rxePvZxDxT5n0ahUD0zz5T6Ov/sDt+zm/46eREcVbY48JBPtNzu/ZHP+D39///x1ncTr63CH4XHGXMpngJ8mgKzupn6d1a5HU037ZhIbs06X987Mrdxr6kkCveo/1K0MBMRliIBVw08ymf66tgDmpi8070X01MQ8FWl3QfLt/pds/oxTa+44Ex6I/eEppfuFP7p7dk+Laaaw4cfO1/pGPLW869vpEeX8/qOiWNT2fieZiRaAZr7Su//hOoBl/FBeNDWcS8MS7bjCt47uuX2Q9pMolCNcE1x9+/f39931jJ35d8Iy+T6+vumBEnwYDrMP30OdLuqqQ7mduLyYtgraxSyoH1tH1tqKTC8hZr0+vggIW+Cz36kB1Utejbucqeg/5o2rO2i0LVHD2VMb4fqV1izHYSwqN3dWxWJs4f8fheAaamD6AQV6YCCDR3ocIHMXrAJ2jovuH0acmRlDdjR47ZOL+UgJbHTERE6hXTCpZTHk4t7rngbtPf7zXXN8qCPTF+Eh1WuA2/Pa2IqpnZ2N6pSXgcl2vLKfrY0W50t+a8VFG4K4JWgRiapLpCkhU9qFMEeC8befX9hRnTayhc8xUE4QEVJQu8x1F+b+1rql+fzO9d6YfGz7hpQovadrXD+MhpljHenpv5Ozzrttx+Bfil8mwAQAAAACAAABQGQAA0wQAAA==eJw90DvIFgQYQOGPIGirhqbApnRoURBaEoxw0E0cGhxCHQzUoaILwS+I5l8ilmmJpXghvBGERgVR1BSCIg1OIgYFDo7SUNCQZ3jeMz3zWf5p2/rVj+1Yv3jU6TU7x99e2D2+/uyb43ufvDv++/Gl8Qfr9o2f+mf/+MtrB8cr93w0vrrq8PilP4+Mfzt1dLz51ePju0+fGO+8eXL88OCp8dLLZ8ZP/HdufOz7r8Yr3rg4vvzClfHa+1+Pfzn7zXjj1mvj2898N37t9x/GDw79OH57w8/jxeLX8fKjzx++//p85j5zn7nP3GfuM/eZ+8x95j5zn7nP3GfuM/eZ+8x95j5zn7nP3GfuM/eZ+8x95j5zn7nP3Gfu8x8P98xn7jP3mfvMfeY+c5+5z9xn7jP3mfvMfeY+c5+5z9xn7jP3mfvMfeY+c5+5z9xn7jP3mfvMfeY+v7jrrfnMfeY+c5+5z9xn7jP3mfvMfeY+c5+5z9xn7jP3mfvMfeY+c5+5z9xn7jP3mfvMfeY+c5+5z9znI3+9N5+5z9xn7jP3mfvMfeY+c5+5z9xn7jP3mfvMfeY+c5+5z9xn7jP3mfvMfeY+c5+5z9xn7jP3mft8f+ve+cx95j5zn7nP3GfuM/eZ+8x95j5zn7nP3GfuM/eZ+8x95j5zn7nP3GfuM/eZ+8x95j5zn7nP3OfnHuybz9xn7jP3mfvMfeY+c5+5z9xn7jP3mfvMfeY+c5+5z9xn7jP3mfvMfeY+c5+5z9xn7jP3mfvMfd504cB85j5zn7nP3GfuM/eZ+8x95j5zn7nP3GfuM/eZ+8x95j5zn7nP3GfuM/eZ+8x95j5zn7nP3Gfu8zvbl+cz95n7zH3mPnOfuc/cZ+4z95n7zH3mPnOfuc/cZ+4z95n7zH3mPnOfuc/cZ+4z95n7zH3mPnOfz684NJ+5z9xn7jP3mfvMfeY+c5+5z9xn7jP3mfvMfeY+c5+5z9xn7jP3mfvMfeY+c5+5z9xn7jP3mft8687h+cx95j5zn7nP3GfuM/eZ+8x95j5zn7nP3GfuM/eZ+8x95j5zn7nP3GfuM/eZ+8x95j5zn7nP3Od/P/94PnOfuc/cZ+4z95n7zH3mPnOfuc/cZ+4z95n7zH3mPnOfuc/cZ+4z95n7zH3mPnOfuc/cZ+4z9/n5LZ/OZ+4z95n7zH3mPnOfuc/cZ+4z95n7zH3mPnOfuc/cZ+4z95n7zH3mPnOfuc/cZ+4z95n7zH3mPm9+8rP5zH3mPnOfuc/cZ+4z95n7zH3mPnOfuc/cZ+4z95n7zH3mPnOfuc/cZ+4z95n7zH3mPnOfuc/c56UbJ+Yz95n7zH3mPnOfuc/cZ+4z95n7zH3mPnOfuc/cZ+4z95n7zH3mPnOfuc/cZ+4z95n7zH3mPnOfLy1/MZ+5z9xn7jP3mfvMfeY+c5+5z9xn7jP3mfvMfeY+c5+5z9xn7jP3mfvMfeY+c5+5z9xn7jP3mft8+5XT85n7zH3mPnOfuc/cZ+4z95n7zH3mPnOfuc/cZ+4z95n7zH3mPnOfuc/cZ+4z95n7zH3mPnOfuc+Lxdn5zH3mPnOfuc/cZ+4z95n7zH3mPnOfuc/cZ+4z95n7zH3mPnOfuc/cZ+4z95n7zH3mPnOfuc/8P4WIi1Y=AQAAAACAAACgPQAAlgkAAA==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AQAAAACAAADtAQAADgAAAA==eJzj5BwFIwYAALvgEVY=
|
| 26 |
+
</AppendedData>
|
| 27 |
+
</VTKFile>
|
CylinderKnMa/Kn0p34/simulation0743_Kn0p34Ma6p2/Surf.pvd
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
<?xml version="1.0"?>
|
| 2 |
+
<VTKFile type="Collection" version="0.1"
|
| 3 |
+
byte_order="LittleEndian"
|
| 4 |
+
compressor="vtkZLibDataCompressor">
|
| 5 |
+
<Collection>
|
| 6 |
+
<DataSet timestep="300000" group="" part="0"
|
| 7 |
+
file="Surf/Surf_300000.vtu"/>
|
| 8 |
+
</Collection>
|
| 9 |
+
</VTKFile>
|
CylinderKnMa/Kn0p34/simulation0743_Kn0p34Ma6p2/config.txt
ADDED
|
@@ -0,0 +1,78 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
variable BZ equal 1.380649E-23
|
| 2 |
+
variable PI equal 3.1415926536
|
| 3 |
+
variable molecular_mass equal 6.63E-26
|
| 4 |
+
variable molecular_diameter equal 4.17E-10
|
| 5 |
+
variable gamma equal 1.666666667
|
| 6 |
+
variable R equal ${BZ}/${molecular_mass}
|
| 7 |
+
variable L equal 1.0
|
| 8 |
+
variable xmin equal -5.0
|
| 9 |
+
variable xmax equal 6.0
|
| 10 |
+
variable ymin equal -5.0
|
| 11 |
+
variable ymax equal 5.0
|
| 12 |
+
variable Kn equal 0.34
|
| 13 |
+
variable Ma equal 6.2
|
| 14 |
+
variable To equal 273.0
|
| 15 |
+
variable Tb equal 273.0
|
| 16 |
+
variable theta equal 0.0
|
| 17 |
+
variable mfp equal ${Kn}*${L}
|
| 18 |
+
variable cpmfp equal 4
|
| 19 |
+
variable nden equal 1.0/sqrt(2.0)/${PI}/${molecular_diameter}/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
|
| 20 |
+
variable sos equal sqrt(${gamma}*${R}*${To})
|
| 21 |
+
variable vo equal ${Ma}*${sos}
|
| 22 |
+
variable vx equal ${vo}*cos(${theta}*2*PI/360)
|
| 23 |
+
variable vy equal ${vo}*sin(${theta}*2*PI/360)
|
| 24 |
+
variable ppc equal 30
|
| 25 |
+
variable xncells equal (${xmax}-${xmin})/${mfp}*${cpmfp}
|
| 26 |
+
variable yncells equal (${ymax}-${ymin})/${mfp}*${cpmfp}
|
| 27 |
+
variable Fnum equal ${nden}*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
|
| 28 |
+
variable tstep equal (-${xmin}+${xmax})/${vx}/${xncells}/10/4
|
| 29 |
+
variable nave equal 10000
|
| 30 |
+
variable noutput equal 300000
|
| 31 |
+
clear
|
| 32 |
+
shell mkdir output
|
| 33 |
+
shell mkdir grid
|
| 34 |
+
shell mkdir surf
|
| 35 |
+
seed 7
|
| 36 |
+
dimension 2
|
| 37 |
+
global nrho ${nden}
|
| 38 |
+
global fnum ${Fnum}
|
| 39 |
+
timestep ${tstep}
|
| 40 |
+
global gridcut 1.0 particle/reorder 100 comm/sort yes
|
| 41 |
+
region 1 cylinder z 0.0 0.0 3.50 -0.5 0.5
|
| 42 |
+
region 2 cylinder z 0.0 0.0 2.00 -0.5 0.5
|
| 43 |
+
region 3 cylinder z 0.0 0.0 0.80 -0.5 0.5
|
| 44 |
+
boundary o o p
|
| 45 |
+
create_box ${xmin} ${xmax} ${ymin} ${ymax} -0.5 0.5
|
| 46 |
+
create_grid ${xncells} ${yncells} 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
|
| 47 |
+
balance_grid rcb cell
|
| 48 |
+
species gas.species Ar
|
| 49 |
+
mixture air Ar frac 1.0
|
| 50 |
+
mixture air Ar vstream ${vx} ${vy} 0.0 temp ${To}
|
| 51 |
+
collide vss air gas.vhs
|
| 52 |
+
collide_modify vremax 100 yes remain no nearcp yes 10
|
| 53 |
+
read_surf cylinder.surf
|
| 54 |
+
surf_collide 1 diffuse 273.0 1.0
|
| 55 |
+
surf_modify all collide 1
|
| 56 |
+
fix in emit/face air xlo ylo yhi
|
| 57 |
+
balance_grid rcb cell
|
| 58 |
+
create_particles air n 0
|
| 59 |
+
stats 10000
|
| 60 |
+
stats_style step cpu np nattempt ncoll nscoll npave nscollave
|
| 61 |
+
run 200000
|
| 62 |
+
compute 1 grid all air n nrho massrho u v w
|
| 63 |
+
compute 2 grid all air trot
|
| 64 |
+
compute 3 tvib/grid all air
|
| 65 |
+
compute 4 thermal/grid all air press temp
|
| 66 |
+
fix 1 ave/grid all 1 ${nave} ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
|
| 67 |
+
dump 1 grid all ${noutput} output/grid.*.dat id xc yc f_1[*]
|
| 68 |
+
dump_modify 1 format float %12.5g
|
| 69 |
+
compute 5 surf all air n press px py shx shy fx fy etot erot evib
|
| 70 |
+
fix 2 ave/surf all 1 ${nave} ${nave} c_5[*] ave running
|
| 71 |
+
dump 2 surf all ${noutput} output/surf.*.dat id v1x v1y v2x v2y f_2[*]
|
| 72 |
+
dump_modify 2 format float %12.5g
|
| 73 |
+
compute 6 lambda/grid f_1[2] f_1[8] Ar kx
|
| 74 |
+
dump 3 grid all ${noutput} output/lambdakn.*.dat id xc yc c_6[*]
|
| 75 |
+
dump_modify 3 format float %12.5g
|
| 76 |
+
run 100000
|
| 77 |
+
write_grid grid/final-grid.dat
|
| 78 |
+
write_surf surf/geom.surf
|
CylinderKnMa/Kn0p34/simulation0743_Kn0p34Ma6p2/cylinder.surf
ADDED
|
@@ -0,0 +1,410 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
surf file from Pointwise
|
| 2 |
+
|
| 3 |
+
200 points
|
| 4 |
+
200 lines
|
| 5 |
+
|
| 6 |
+
Points
|
| 7 |
+
|
| 8 |
+
1 0.5 0.0
|
| 9 |
+
2 0.499753280182866E+000 -0.157053795390643E-001
|
| 10 |
+
3 0.499013364214136E+000 -0.313952597646568E-001
|
| 11 |
+
4 0.497780982301540E+000 -0.470541566592573E-001
|
| 12 |
+
5 0.496057350657239E+000 -0.626666167821523E-001
|
| 13 |
+
6 0.493844170297569E+000 -0.782172325201156E-001
|
| 14 |
+
7 0.491143625364344E+000 -0.936906572928624E-001
|
| 15 |
+
8 0.487958380969374E+000 -0.109071620698271E+000
|
| 16 |
+
9 0.484291580564315E+000 -0.124344943582427E+000
|
| 17 |
+
10 0.480146842838471E+000 -0.139495553019615E+000
|
| 18 |
+
11 0.475528258147577E+000 -0.154508497187474E+000
|
| 19 |
+
12 0.470440384477113E+000 -0.169368960122646E+000
|
| 20 |
+
13 0.464888242944126E+000 -0.184062276342339E+000
|
| 21 |
+
14 0.458877312841991E+000 -0.198573945317390E+000
|
| 22 |
+
15 0.452413526233010E+000 -0.212889645782536E+000
|
| 23 |
+
16 0.445503262094184E+000 -0.226995249869774E+000
|
| 24 |
+
17 0.438153340021932E+000 -0.240876837050858E+000
|
| 25 |
+
18 0.430371013501972E+000 -0.254520707875186E+000
|
| 26 |
+
19 0.422163962751007E+000 -0.267913397489498E+000
|
| 27 |
+
20 0.413540287137281E+000 -0.281041688926065E+000
|
| 28 |
+
21 0.404508497187474E+000 -0.293892626146237E+000
|
| 29 |
+
22 0.395077506187845E+000 -0.306453526826488E+000
|
| 30 |
+
23 0.385256621387895E+000 -0.318711994874345E+000
|
| 31 |
+
24 0.375055534815230E+000 -0.330655932661826E+000
|
| 32 |
+
25 0.364484313710706E+000 -0.342273552964344E+000
|
| 33 |
+
26 0.353553390593274E+000 -0.353553390593274E+000
|
| 34 |
+
27 0.342273552964344E+000 -0.364484313710706E+000
|
| 35 |
+
28 0.330655932661826E+000 -0.375055534815230E+000
|
| 36 |
+
29 0.318711994874345E+000 -0.385256621387895E+000
|
| 37 |
+
30 0.306453526826488E+000 -0.395077506187845E+000
|
| 38 |
+
31 0.293892626146236E+000 -0.404508497187474E+000
|
| 39 |
+
32 0.281041688926065E+000 -0.413540287137281E+000
|
| 40 |
+
33 0.267913397489498E+000 -0.422163962751008E+000
|
| 41 |
+
34 0.254520707875185E+000 -0.430371013501972E+000
|
| 42 |
+
35 0.240876837050857E+000 -0.438153340021932E+000
|
| 43 |
+
36 0.226995249869773E+000 -0.445503262094184E+000
|
| 44 |
+
37 0.212889645782536E+000 -0.452413526233010E+000
|
| 45 |
+
38 0.198573945317390E+000 -0.458877312841991E+000
|
| 46 |
+
39 0.184062276342339E+000 -0.464888242944126E+000
|
| 47 |
+
40 0.169368960122645E+000 -0.470440384477113E+000
|
| 48 |
+
41 0.154508497187474E+000 -0.475528258147577E+000
|
| 49 |
+
42 0.139495553019614E+000 -0.480146842838472E+000
|
| 50 |
+
43 0.124344943582427E+000 -0.484291580564316E+000
|
| 51 |
+
44 0.109071620698271E+000 -0.487958380969374E+000
|
| 52 |
+
45 0.936906572928621E-001 -0.491143625364344E+000
|
| 53 |
+
46 0.782172325201152E-001 -0.493844170297569E+000
|
| 54 |
+
47 0.626666167821520E-001 -0.496057350657239E+000
|
| 55 |
+
48 0.470541566592570E-001 -0.497780982301540E+000
|
| 56 |
+
49 0.313952597646565E-001 -0.499013364214136E+000
|
| 57 |
+
50 0.157053795390640E-001 -0.499753280182866E+000
|
| 58 |
+
51 0.0 -0.5
|
| 59 |
+
52 -0.157053795390643E-001 -0.499753280182866E+000
|
| 60 |
+
53 -0.313952597646568E-001 -0.499013364214136E+000
|
| 61 |
+
54 -0.470541566592573E-001 -0.497780982301540E+000
|
| 62 |
+
55 -0.626666167821523E-001 -0.496057350657239E+000
|
| 63 |
+
56 -0.782172325201156E-001 -0.493844170297569E+000
|
| 64 |
+
57 -0.936906572928625E-001 -0.491143625364344E+000
|
| 65 |
+
58 -0.109071620698271E+000 -0.487958380969374E+000
|
| 66 |
+
59 -0.124344943582428E+000 -0.484291580564315E+000
|
| 67 |
+
60 -0.139495553019615E+000 -0.480146842838471E+000
|
| 68 |
+
61 -0.154508497187474E+000 -0.475528258147577E+000
|
| 69 |
+
62 -0.169368960122646E+000 -0.470440384477113E+000
|
| 70 |
+
63 -0.184062276342339E+000 -0.464888242944126E+000
|
| 71 |
+
64 -0.198573945317390E+000 -0.458877312841991E+000
|
| 72 |
+
65 -0.212889645782536E+000 -0.452413526233010E+000
|
| 73 |
+
66 -0.226995249869774E+000 -0.445503262094184E+000
|
| 74 |
+
67 -0.240876837050858E+000 -0.438153340021932E+000
|
| 75 |
+
68 -0.254520707875186E+000 -0.430371013501972E+000
|
| 76 |
+
69 -0.267913397489499E+000 -0.422163962751007E+000
|
| 77 |
+
70 -0.281041688926066E+000 -0.413540287137281E+000
|
| 78 |
+
71 -0.293892626146237E+000 -0.404508497187474E+000
|
| 79 |
+
72 -0.306453526826488E+000 -0.395077506187845E+000
|
| 80 |
+
73 -0.318711994874345E+000 -0.385256621387895E+000
|
| 81 |
+
74 -0.330655932661826E+000 -0.375055534815230E+000
|
| 82 |
+
75 -0.342273552964344E+000 -0.364484313710706E+000
|
| 83 |
+
76 -0.353553390593274E+000 -0.353553390593274E+000
|
| 84 |
+
77 -0.364484313710706E+000 -0.342273552964344E+000
|
| 85 |
+
78 -0.375055534815230E+000 -0.330655932661826E+000
|
| 86 |
+
79 -0.385256621387895E+000 -0.318711994874345E+000
|
| 87 |
+
80 -0.395077506187845E+000 -0.306453526826488E+000
|
| 88 |
+
81 -0.404508497187474E+000 -0.293892626146237E+000
|
| 89 |
+
82 -0.413540287137281E+000 -0.281041688926065E+000
|
| 90 |
+
83 -0.422163962751008E+000 -0.267913397489498E+000
|
| 91 |
+
84 -0.430371013501972E+000 -0.254520707875185E+000
|
| 92 |
+
85 -0.438153340021932E+000 -0.240876837050857E+000
|
| 93 |
+
86 -0.445503262094184E+000 -0.226995249869773E+000
|
| 94 |
+
87 -0.452413526233010E+000 -0.212889645782536E+000
|
| 95 |
+
88 -0.458877312841991E+000 -0.198573945317390E+000
|
| 96 |
+
89 -0.464888242944126E+000 -0.184062276342339E+000
|
| 97 |
+
90 -0.470440384477113E+000 -0.169368960122645E+000
|
| 98 |
+
91 -0.475528258147577E+000 -0.154508497187473E+000
|
| 99 |
+
92 -0.480146842838472E+000 -0.139495553019614E+000
|
| 100 |
+
93 -0.484291580564316E+000 -0.124344943582427E+000
|
| 101 |
+
94 -0.487958380969374E+000 -0.109071620698271E+000
|
| 102 |
+
95 -0.491143625364344E+000 -0.936906572928622E-001
|
| 103 |
+
96 -0.493844170297569E+000 -0.782172325201151E-001
|
| 104 |
+
97 -0.496057350657239E+000 -0.626666167821519E-001
|
| 105 |
+
98 -0.497780982301540E+000 -0.470541566592571E-001
|
| 106 |
+
99 -0.499013364214136E+000 -0.313952597646564E-001
|
| 107 |
+
100 -0.499753280182866E+000 -0.157053795390640E-001
|
| 108 |
+
101 -0.5 0.0
|
| 109 |
+
102 -0.499753280182866E+000 0.157053795390643E-001
|
| 110 |
+
103 -0.499013364214136E+000 0.313952597646568E-001
|
| 111 |
+
104 -0.497780982301540E+000 0.470541566592574E-001
|
| 112 |
+
105 -0.496057350657239E+000 0.626666167821523E-001
|
| 113 |
+
106 -0.493844170297569E+000 0.782172325201157E-001
|
| 114 |
+
107 -0.491143625364344E+000 0.936906572928625E-001
|
| 115 |
+
108 -0.487958380969374E+000 0.109071620698271E+000
|
| 116 |
+
109 -0.484291580564315E+000 0.124344943582428E+000
|
| 117 |
+
110 -0.480146842838471E+000 0.139495553019615E+000
|
| 118 |
+
111 -0.475528258147577E+000 0.154508497187474E+000
|
| 119 |
+
112 -0.470440384477113E+000 0.169368960122646E+000
|
| 120 |
+
113 -0.464888242944126E+000 0.184062276342339E+000
|
| 121 |
+
114 -0.458877312841991E+000 0.198573945317391E+000
|
| 122 |
+
115 -0.452413526233010E+000 0.212889645782536E+000
|
| 123 |
+
116 -0.445503262094184E+000 0.226995249869774E+000
|
| 124 |
+
117 -0.438153340021932E+000 0.240876837050858E+000
|
| 125 |
+
118 -0.430371013501972E+000 0.254520707875186E+000
|
| 126 |
+
119 -0.422163962751007E+000 0.267913397489498E+000
|
| 127 |
+
120 -0.413540287137281E+000 0.281041688926065E+000
|
| 128 |
+
121 -0.404508497187474E+000 0.293892626146237E+000
|
| 129 |
+
122 -0.395077506187845E+000 0.306453526826488E+000
|
| 130 |
+
123 -0.385256621387895E+000 0.318711994874345E+000
|
| 131 |
+
124 -0.375055534815230E+000 0.330655932661826E+000
|
| 132 |
+
125 -0.364484313710706E+000 0.342273552964344E+000
|
| 133 |
+
126 -0.353553390593274E+000 0.353553390593274E+000
|
| 134 |
+
127 -0.342273552964344E+000 0.364484313710706E+000
|
| 135 |
+
128 -0.330655932661826E+000 0.375055534815230E+000
|
| 136 |
+
129 -0.318711994874345E+000 0.385256621387895E+000
|
| 137 |
+
130 -0.306453526826488E+000 0.395077506187845E+000
|
| 138 |
+
131 -0.293892626146237E+000 0.404508497187474E+000
|
| 139 |
+
132 -0.281041688926065E+000 0.413540287137281E+000
|
| 140 |
+
133 -0.267913397489498E+000 0.422163962751008E+000
|
| 141 |
+
134 -0.254520707875185E+000 0.430371013501972E+000
|
| 142 |
+
135 -0.240876837050857E+000 0.438153340021932E+000
|
| 143 |
+
136 -0.226995249869773E+000 0.445503262094184E+000
|
| 144 |
+
137 -0.212889645782536E+000 0.452413526233010E+000
|
| 145 |
+
138 -0.198573945317390E+000 0.458877312841991E+000
|
| 146 |
+
139 -0.184062276342339E+000 0.464888242944126E+000
|
| 147 |
+
140 -0.169368960122646E+000 0.470440384477113E+000
|
| 148 |
+
141 -0.154508497187474E+000 0.475528258147577E+000
|
| 149 |
+
142 -0.139495553019614E+000 0.480146842838472E+000
|
| 150 |
+
143 -0.124344943582427E+000 0.484291580564316E+000
|
| 151 |
+
144 -0.109071620698271E+000 0.487958380969374E+000
|
| 152 |
+
145 -0.936906572928622E-001 0.491143625364344E+000
|
| 153 |
+
146 -0.782172325201154E-001 0.493844170297569E+000
|
| 154 |
+
147 -0.626666167821517E-001 0.496057350657239E+000
|
| 155 |
+
148 -0.470541566592569E-001 0.497780982301540E+000
|
| 156 |
+
149 -0.313952597646565E-001 0.499013364214136E+000
|
| 157 |
+
150 -0.157053795390640E-001 0.499753280182866E+000
|
| 158 |
+
151 0.0 0.5
|
| 159 |
+
152 0.157053795390645E-001 0.499753280182866E+000
|
| 160 |
+
153 0.313952597646570E-001 0.499013364214136E+000
|
| 161 |
+
154 0.470541566592574E-001 0.497780982301540E+000
|
| 162 |
+
155 0.626666167821522E-001 0.496057350657239E+000
|
| 163 |
+
156 0.782172325201155E-001 0.493844170297569E+000
|
| 164 |
+
157 0.936906572928627E-001 0.491143625364344E+000
|
| 165 |
+
158 0.109071620698272E+000 0.487958380969374E+000
|
| 166 |
+
159 0.124344943582428E+000 0.484291580564315E+000
|
| 167 |
+
160 0.139495553019615E+000 0.480146842838471E+000
|
| 168 |
+
161 0.154508497187474E+000 0.475528258147577E+000
|
| 169 |
+
162 0.169368960122646E+000 0.470440384477113E+000
|
| 170 |
+
163 0.184062276342339E+000 0.464888242944126E+000
|
| 171 |
+
164 0.198573945317391E+000 0.458877312841991E+000
|
| 172 |
+
165 0.212889645782536E+000 0.452413526233010E+000
|
| 173 |
+
166 0.226995249869774E+000 0.445503262094184E+000
|
| 174 |
+
167 0.240876837050858E+000 0.438153340021932E+000
|
| 175 |
+
168 0.254520707875186E+000 0.430371013501972E+000
|
| 176 |
+
169 0.267913397489498E+000 0.422163962751007E+000
|
| 177 |
+
170 0.281041688926065E+000 0.413540287137281E+000
|
| 178 |
+
171 0.293892626146237E+000 0.404508497187473E+000
|
| 179 |
+
172 0.306453526826489E+000 0.395077506187845E+000
|
| 180 |
+
173 0.318711994874345E+000 0.385256621387895E+000
|
| 181 |
+
174 0.330655932661826E+000 0.375055534815230E+000
|
| 182 |
+
175 0.342273552964344E+000 0.364484313710706E+000
|
| 183 |
+
176 0.353553390593274E+000 0.353553390593273E+000
|
| 184 |
+
177 0.364484313710706E+000 0.342273552964344E+000
|
| 185 |
+
178 0.375055534815230E+000 0.330655932661826E+000
|
| 186 |
+
179 0.385256621387895E+000 0.318711994874345E+000
|
| 187 |
+
180 0.395077506187845E+000 0.306453526826488E+000
|
| 188 |
+
181 0.404508497187474E+000 0.293892626146236E+000
|
| 189 |
+
182 0.413540287137281E+000 0.281041688926065E+000
|
| 190 |
+
183 0.422163962751008E+000 0.267913397489498E+000
|
| 191 |
+
184 0.430371013501972E+000 0.254520707875185E+000
|
| 192 |
+
185 0.438153340021932E+000 0.240876837050858E+000
|
| 193 |
+
186 0.445503262094184E+000 0.226995249869773E+000
|
| 194 |
+
187 0.452413526233010E+000 0.212889645782536E+000
|
| 195 |
+
188 0.458877312841991E+000 0.198573945317390E+000
|
| 196 |
+
189 0.464888242944126E+000 0.184062276342339E+000
|
| 197 |
+
190 0.470440384477113E+000 0.169368960122646E+000
|
| 198 |
+
191 0.475528258147577E+000 0.154508497187473E+000
|
| 199 |
+
192 0.480146842838472E+000 0.139495553019614E+000
|
| 200 |
+
193 0.484291580564316E+000 0.124344943582427E+000
|
| 201 |
+
194 0.487958380969374E+000 0.109071620698271E+000
|
| 202 |
+
195 0.491143625364344E+000 0.936906572928622E-001
|
| 203 |
+
196 0.493844170297569E+000 0.782172325201150E-001
|
| 204 |
+
197 0.496057350657239E+000 0.626666167821518E-001
|
| 205 |
+
198 0.497780982301540E+000 0.470541566592569E-001
|
| 206 |
+
199 0.499013364214136E+000 0.313952597646565E-001
|
| 207 |
+
200 0.499753280182866E+000 0.157053795390641E-001
|
| 208 |
+
|
| 209 |
+
Lines
|
| 210 |
+
|
| 211 |
+
1 1 2
|
| 212 |
+
2 2 3
|
| 213 |
+
3 3 4
|
| 214 |
+
4 4 5
|
| 215 |
+
5 5 6
|
| 216 |
+
6 6 7
|
| 217 |
+
7 7 8
|
| 218 |
+
8 8 9
|
| 219 |
+
9 9 10
|
| 220 |
+
10 10 11
|
| 221 |
+
11 11 12
|
| 222 |
+
12 12 13
|
| 223 |
+
13 13 14
|
| 224 |
+
14 14 15
|
| 225 |
+
15 15 16
|
| 226 |
+
16 16 17
|
| 227 |
+
17 17 18
|
| 228 |
+
18 18 19
|
| 229 |
+
19 19 20
|
| 230 |
+
20 20 21
|
| 231 |
+
21 21 22
|
| 232 |
+
22 22 23
|
| 233 |
+
23 23 24
|
| 234 |
+
24 24 25
|
| 235 |
+
25 25 26
|
| 236 |
+
26 26 27
|
| 237 |
+
27 27 28
|
| 238 |
+
28 28 29
|
| 239 |
+
29 29 30
|
| 240 |
+
30 30 31
|
| 241 |
+
31 31 32
|
| 242 |
+
32 32 33
|
| 243 |
+
33 33 34
|
| 244 |
+
34 34 35
|
| 245 |
+
35 35 36
|
| 246 |
+
36 36 37
|
| 247 |
+
37 37 38
|
| 248 |
+
38 38 39
|
| 249 |
+
39 39 40
|
| 250 |
+
40 40 41
|
| 251 |
+
41 41 42
|
| 252 |
+
42 42 43
|
| 253 |
+
43 43 44
|
| 254 |
+
44 44 45
|
| 255 |
+
45 45 46
|
| 256 |
+
46 46 47
|
| 257 |
+
47 47 48
|
| 258 |
+
48 48 49
|
| 259 |
+
49 49 50
|
| 260 |
+
50 50 51
|
| 261 |
+
51 51 52
|
| 262 |
+
52 52 53
|
| 263 |
+
53 53 54
|
| 264 |
+
54 54 55
|
| 265 |
+
55 55 56
|
| 266 |
+
56 56 57
|
| 267 |
+
57 57 58
|
| 268 |
+
58 58 59
|
| 269 |
+
59 59 60
|
| 270 |
+
60 60 61
|
| 271 |
+
61 61 62
|
| 272 |
+
62 62 63
|
| 273 |
+
63 63 64
|
| 274 |
+
64 64 65
|
| 275 |
+
65 65 66
|
| 276 |
+
66 66 67
|
| 277 |
+
67 67 68
|
| 278 |
+
68 68 69
|
| 279 |
+
69 69 70
|
| 280 |
+
70 70 71
|
| 281 |
+
71 71 72
|
| 282 |
+
72 72 73
|
| 283 |
+
73 73 74
|
| 284 |
+
74 74 75
|
| 285 |
+
75 75 76
|
| 286 |
+
76 76 77
|
| 287 |
+
77 77 78
|
| 288 |
+
78 78 79
|
| 289 |
+
79 79 80
|
| 290 |
+
80 80 81
|
| 291 |
+
81 81 82
|
| 292 |
+
82 82 83
|
| 293 |
+
83 83 84
|
| 294 |
+
84 84 85
|
| 295 |
+
85 85 86
|
| 296 |
+
86 86 87
|
| 297 |
+
87 87 88
|
| 298 |
+
88 88 89
|
| 299 |
+
89 89 90
|
| 300 |
+
90 90 91
|
| 301 |
+
91 91 92
|
| 302 |
+
92 92 93
|
| 303 |
+
93 93 94
|
| 304 |
+
94 94 95
|
| 305 |
+
95 95 96
|
| 306 |
+
96 96 97
|
| 307 |
+
97 97 98
|
| 308 |
+
98 98 99
|
| 309 |
+
99 99 100
|
| 310 |
+
100 100 101
|
| 311 |
+
101 101 102
|
| 312 |
+
102 102 103
|
| 313 |
+
103 103 104
|
| 314 |
+
104 104 105
|
| 315 |
+
105 105 106
|
| 316 |
+
106 106 107
|
| 317 |
+
107 107 108
|
| 318 |
+
108 108 109
|
| 319 |
+
109 109 110
|
| 320 |
+
110 110 111
|
| 321 |
+
111 111 112
|
| 322 |
+
112 112 113
|
| 323 |
+
113 113 114
|
| 324 |
+
114 114 115
|
| 325 |
+
115 115 116
|
| 326 |
+
116 116 117
|
| 327 |
+
117 117 118
|
| 328 |
+
118 118 119
|
| 329 |
+
119 119 120
|
| 330 |
+
120 120 121
|
| 331 |
+
121 121 122
|
| 332 |
+
122 122 123
|
| 333 |
+
123 123 124
|
| 334 |
+
124 124 125
|
| 335 |
+
125 125 126
|
| 336 |
+
126 126 127
|
| 337 |
+
127 127 128
|
| 338 |
+
128 128 129
|
| 339 |
+
129 129 130
|
| 340 |
+
130 130 131
|
| 341 |
+
131 131 132
|
| 342 |
+
132 132 133
|
| 343 |
+
133 133 134
|
| 344 |
+
134 134 135
|
| 345 |
+
135 135 136
|
| 346 |
+
136 136 137
|
| 347 |
+
137 137 138
|
| 348 |
+
138 138 139
|
| 349 |
+
139 139 140
|
| 350 |
+
140 140 141
|
| 351 |
+
141 141 142
|
| 352 |
+
142 142 143
|
| 353 |
+
143 143 144
|
| 354 |
+
144 144 145
|
| 355 |
+
145 145 146
|
| 356 |
+
146 146 147
|
| 357 |
+
147 147 148
|
| 358 |
+
148 148 149
|
| 359 |
+
149 149 150
|
| 360 |
+
150 150 151
|
| 361 |
+
151 151 152
|
| 362 |
+
152 152 153
|
| 363 |
+
153 153 154
|
| 364 |
+
154 154 155
|
| 365 |
+
155 155 156
|
| 366 |
+
156 156 157
|
| 367 |
+
157 157 158
|
| 368 |
+
158 158 159
|
| 369 |
+
159 159 160
|
| 370 |
+
160 160 161
|
| 371 |
+
161 161 162
|
| 372 |
+
162 162 163
|
| 373 |
+
163 163 164
|
| 374 |
+
164 164 165
|
| 375 |
+
165 165 166
|
| 376 |
+
166 166 167
|
| 377 |
+
167 167 168
|
| 378 |
+
168 168 169
|
| 379 |
+
169 169 170
|
| 380 |
+
170 170 171
|
| 381 |
+
171 171 172
|
| 382 |
+
172 172 173
|
| 383 |
+
173 173 174
|
| 384 |
+
174 174 175
|
| 385 |
+
175 175 176
|
| 386 |
+
176 176 177
|
| 387 |
+
177 177 178
|
| 388 |
+
178 178 179
|
| 389 |
+
179 179 180
|
| 390 |
+
180 180 181
|
| 391 |
+
181 181 182
|
| 392 |
+
182 182 183
|
| 393 |
+
183 183 184
|
| 394 |
+
184 184 185
|
| 395 |
+
185 185 186
|
| 396 |
+
186 186 187
|
| 397 |
+
187 187 188
|
| 398 |
+
188 188 189
|
| 399 |
+
189 189 190
|
| 400 |
+
190 190 191
|
| 401 |
+
191 191 192
|
| 402 |
+
192 192 193
|
| 403 |
+
193 193 194
|
| 404 |
+
194 194 195
|
| 405 |
+
195 195 196
|
| 406 |
+
196 196 197
|
| 407 |
+
197 197 198
|
| 408 |
+
198 198 199
|
| 409 |
+
199 199 200
|
| 410 |
+
200 200 1
|
CylinderKnMa/Kn0p34/simulation0743_Kn0p34Ma6p2/gas.species
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Species data
|
| 2 |
+
|
| 3 |
+
# species name
|
| 4 |
+
# molecular weight (atomic mass units, e.g. 16 for oxygen)
|
| 5 |
+
# molecular mass (kg)
|
| 6 |
+
# rotational degrees of freedom (integer, unitless)
|
| 7 |
+
# inverse rotational relaxtion number (unitless)
|
| 8 |
+
# vibrational degrees of freedom (integer, unitless)
|
| 9 |
+
# inverse vibrational relaxation number (unitless)
|
| 10 |
+
# vibrational temperature (K)
|
| 11 |
+
# species weight (unitless)
|
| 12 |
+
# multiple of electon charge (1 for a proton)
|
| 13 |
+
|
| 14 |
+
Ar 39.95 6.63E-26 0 0.0 0 0.0 0.0 1.0 0.0
|
CylinderKnMa/Kn0p34/simulation0743_Kn0p34Ma6p2/gas.vhs
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# VHS collision model parameters for each species
|
| 2 |
+
|
| 3 |
+
# species name
|
| 4 |
+
# diameter (m)
|
| 5 |
+
# omega (unitless)
|
| 6 |
+
# tref (referenced temperature)
|
| 7 |
+
# alpha (unitless)
|
| 8 |
+
|
| 9 |
+
Ar 4.17e-10 0.81 273 1.0
|
CylinderKnMa/Kn0p34/simulation0743_Kn0p34Ma6p2/grid/Grid_0_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p34/simulation0743_Kn0p34Ma6p2/grid/Grid_1_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p34/simulation0743_Kn0p34Ma6p2/grid/Grid_2_300000.vtu
ADDED
|
@@ -0,0 +1,35 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
<?xml version="1.0"?>
|
| 2 |
+
<VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
|
| 3 |
+
<UnstructuredGrid>
|
| 4 |
+
<Piece NumberOfPoints="1818" NumberOfCells="1700" >
|
| 5 |
+
<PointData>
|
| 6 |
+
</PointData>
|
| 7 |
+
<CellData>
|
| 8 |
+
<DataArray type="Float64" Name="id" format="appended" RangeMin="12901" RangeMax="15064" offset="0" />
|
| 9 |
+
<DataArray type="Float64" Name="xc" format="appended" RangeMin="-4.9574" RangeMax="3.4845" offset="2984" />
|
| 10 |
+
<DataArray type="Float64" Name="yc" format="appended" RangeMin="3.5897" RangeMax="4.9573" offset="4152" />
|
| 11 |
+
<DataArray type="Float64" Name="f_1[1]" format="appended" RangeMin="29.986" RangeMax="78.435" offset="4472" />
|
| 12 |
+
<DataArray type="Float64" Name="f_1[2]" format="appended" RangeMin="4.438e+19" RangeMax="1.1609e+20" offset="10164" />
|
| 13 |
+
<DataArray type="Float64" Name="f_1[3]" format="appended" RangeMin="2.9424e-06" RangeMax="7.6964e-06" offset="19144" />
|
| 14 |
+
<DataArray type="Float64" Name="f_1[4]" format="appended" RangeMin="1656.4" RangeMax="1911.1" offset="27112" />
|
| 15 |
+
<DataArray type="Float64" Name="f_1[5]" format="appended" RangeMin="-2.8577" RangeMax="479.17" offset="30116" />
|
| 16 |
+
<DataArray type="Float64" Name="f_1[6]" format="appended" RangeMin="-2.851" RangeMax="2.0481" offset="43816" />
|
| 17 |
+
<DataArray type="Float64" Name="f_1[7]" format="appended" RangeMin="0.16627" RangeMax="1.5021" offset="57576" />
|
| 18 |
+
<DataArray type="Float64" Name="f_1[8]" format="appended" RangeMin="270.47" RangeMax="938.89" offset="64888" />
|
| 19 |
+
<DataArray type="Float64" Name="f_1[9]" format="appended" RangeMin="0" RangeMax="0" offset="70040" />
|
| 20 |
+
<DataArray type="Float64" Name="f_1[10]" format="appended" RangeMin="0" RangeMax="0" offset="70112" />
|
| 21 |
+
</CellData>
|
| 22 |
+
<Points>
|
| 23 |
+
<DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="3.5471440458" RangeMax="7.0710678119" offset="70184" />
|
| 24 |
+
</Points>
|
| 25 |
+
<Cells>
|
| 26 |
+
<DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="76340" />
|
| 27 |
+
<DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="88644" />
|
| 28 |
+
<DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="91712" />
|
| 29 |
+
</Cells>
|
| 30 |
+
</Piece>
|
| 31 |
+
</UnstructuredGrid>
|
| 32 |
+
<AppendedData encoding="base64">
|
| 33 |
+
_AQAAAACAAAAgNQAAqwgAAA==eJw11jUYGNZ5RuFjZmZmO2m3NjGImZnBkiVLhqTd2sTMzMyMSbsGzIyyLTMzO2nXNjG76qNXd3mf883/cKtO/acVw/r/98+rPZX9QrNfanagZgdpdrBmh2g2QLOBmg3SbLBmQzQbqtkwzYZrNkKzkZqN0my0ZmM0G6vZOM3GazZBs4maTdJssmZTNJuq2TTNpms2Q7OZms3SbLZmczSbq9k8zeZrtkCzhZodqtkizRZrdphmSzRbqtnhmi3TbDn/zc7+XbPfaPZbzY7R7FjNjtPseM1O0OxEzU7S7GTNTtHsVM1O0+x0zc7Q7EzNztLsbM3O0exczc7T7HzNLtDsQs0u0uxizS7R7FLNLtPscs2u0OxKza7S7GrNrtHsWs2u0+x6zW7Q7EbNbtLsZs1u0exWzW7T7HbN7tDsTr3GP9j/qNmfNPuzZvdodq9m92l2v2YPaPagZg9p9rBmj2j2qGaPafa4Zk9o9qRmT2n2tGbPaPasZis0e06z5zV7QbOVmr2o2UuavazZK5q9qtlrmr2u2RuavanZW5q9rdk7mr2r2Xuava/ZB5p9qNlHmn2s2SeafarZZ5p9rtkX/B87+1/N/qbZ3zX7WrNvNPtWs+80+16zHzT7UbOfNFcd3upma2m2tmbraLauZutptr5mG2i2oWYbabaxZptotqlmm2m2uWZbaLalZltptrVm22i2rWbbaba9ZjtotqNmO2m2s2a7aLarZrtptrtme2i2p2Z7aba3Zvtotq9m++k1/sL+S80O1OwgzQ7W7BDNBmg2ULNBmg3WbIhmQzUbptlwzUZoNlKzUZqN1myMZmM1G6fZeM0maDZRs0maTdZsimZTNZum2XTNZmg2U7NZms3WbI5mczWbp9l8zRZotlCzQzVbpNlizQ7TbIlmSzU7XLNlmi3X7AjNjuRv7Oy3mh2j2bGaHafZ8ZqdoNmJmp2k2cmanaK56oOyutlpmp2u2RmananZWZqdrdk5mp2r2Xmana/ZBZpdqNlFml2s2SWaXarZZZpdrtkVml2p2VWaXa3ZNZpdq9l1ml2v2Q2a3ajZTZrdrNktmt2q2W2a3a7ZHZrdqdldmt2t1/gn+581u0ezezW7T7P7NXtAswc1e0izhzV7RLNHNXtMs8c1e0KzJzV7SrOnNXtGs2c1W6HZc5o9r9kLmq3U7EXNXtLsZc1e0exVzV7T7HXN3tDsTc3e0uxtzd7R7F3N3tPsfc0+0OxDzT7S7GPNPtHsU80+0+xzzb7Q7EvNvuLf7Ozvmn2t2TeafavZd5p9r9kPmv2o2U+aqw5tdbO1NFtbs3U0W1ez9TRbX7MNNNtQs40021izTTTbVLPNNNtcsy0021KzrTTbWrNtNNtWs+00216zHTTbUbOdNNtZs10021Wz3TTbXbM9NNtTs70021uzfTTbV7P9NNtfswP0Gg+0H6TZwZodotkAzQZqNkizwZoN0WyoZsM0G67ZCM1GajZKs9GajdFsrGbjNBuv2QTNJmo2SbPJmk3RbKpm0zSbrtkMzWZqNkuz2ZrN0WyuZvM0m6/ZAs0WanaoZos0W6zZYZot0WypZodrtkyz5ZododmRmh2l2dE8xs6O1ew4zY7X7ATNTtTsJM1O1uwUzVUfktXNTtPsdM3O0OxMzc7S7GzNztHsXM3O0+x8zS7Q7ELNLtLsYs0u0exSzS7T7HLNrtDsSs2u0uxqza7R7FrNrtPses1u0OxGzW7S7GbNbtHsVs1u0+x2ze7Q7E7N7tLsbs1+p9nv9Rrvsd+r2X2a3a/ZA5o9qNlDmj2s2SOaParZY5o9rtkTmj2p2VOaPa3ZM5o9q9kKzZ7T7HnNXtBspWYvavaSZi9r9opmr2r2mmava/aGZm9q9pZmb2v2jmbvavaeZu9r9oFmH2r2kWYfa/aJZp9q9plmn2v2hWZfavaVZn/R7K/82s6+0exbzb7T7HvNftDsR81+0lx1WKubraXZ2pqto9m6mq2n2fqabaDZhpptpNnGmm2i2aaababZ5pptodmWmm2l2daabaPZtpptp9n2mu2g2Y6a7aTZzprtotmumu2m2e6a7aHZnprtpdnemu2j2b6a7afZ/podoNnPNPu5XuPB9kM0G6DZQM0GaTZYsyGaDdVsmGbDNRuh2UjNRmk2WrMxmo3VbJxm4zWboNlEzSZpNlmzKZpN1WyaZtM1m6HZTM1maTZbszmazdVsnmbzNVug2ULNDtVskWaLNTtMsyWaLdXscM2WabZcsyM0O1KzozQ7WrNfafZrHmdnx2t2gmYnanaSZidrdormqg/I6manaXa6ZmdodqZmZ2l2tmbnaHauZudpdr5mF2h2oWYXaXaxZpdodqlml2l2uWZXaHalZldpdrVm12h2rWbXaXa9ZjdodqNmN2l2s2a3aHarZrdpdrtmd2h2p2Z3aXa3Zr/T7Pea/Ydm/6nXeJ/9fs0e0OxBzR7S7GHNHtHsUc0e0+xxzZ7Q7EnNntLsac2e0exZzVZo9pxmz2v2gmYrNXtRs5c0e1mzVzR7VbPXNHtdszc0e1OztzR7W7N3NHtXs/c0e1+zDzT7ULOPNPtYs080+1SzzzT7XLMvNPtSs680+4tmf9XsvzT7b35rZ99p9r1mP2j2o2Y/aa46pNXN1tJsbc3W0WxdzdbTbH3NNtBsQ8020mxjzTbRbFPNNtNsc8220GxLzbbSbGvNttFsW82202x7zXbQbEfNdtJsZ8120WxXzXbTbHfN9tBsT8320mxvzfbRbF/N9tNsf80O0Oxnmv1cs3/Q7B/1GgfYB2o2SLPBmg3RbKhmwzQbrtkIzUZqNkqz0ZqN0WysZuM0G6/ZBM0majZJs8maTdFsqmbTNJuu2QzNZmo2S7PZms3RbK5m8zSbr9kCzRZqdqhmizRbrNlhmi3RbKlmh2u2TLPlmh2h2ZGaHaXZ0Zr9SrNfa/Yvmv3rymH/B7Dxsj4=AQAAAACAAAAgNQAAWgMAAA==eJzt0/kz1HEYB3Dsatt1LV86qemiYipFrsznY8IOHVKUdEhRrZ3okKJJNx2SUrNN05iapBhTMjWV2M+TMnQM1ZBJiZQcuYmVY9t8/RH98Hx//X7m+TzP5/281IVhWVvKOXi7aVmJ6DAHN9X2P+/N4uBi/IDr7lIzCJ9YFzT+gBm4PCyJUU01A2O/+5fDS0xhuPxgk/UeU/gQFSIqnWgKGRLvWfsLpaBMMYlbrJCCwrZXWc1JIT7pqUIcawI2hQl31r02Bu1h/6rJxpAjaEiavcsIgkYKG4KLl2xvv4khfIszvycLNYCzOd+aruRKYKG2mx8CCXBdHmXbA8XwzMbE4FHGWAjb9MVboBaBpzyq45SPCFrTltiVXxsDV8rFO6e36IO7pPLWbnd9mDIuYkV3shCKlzmd8agVQNQxYdEFewGsOq+MNDuhB+qR+XVH59YFn3maaUMxOhAQPVOpSdGw9BqV8fVFw+y37/oE54+D7PHWI5/cYwcYP8cfxvevZpnpKykX2sci8qNTJwh7Gd9nDzNMzTzu79PNSrPKKta2dDK+nw72/JzquMO2NmY0xG3MvvuLrY+UO85saxy97yfrWGXeyMV+Z26Fcu3RWiYL5DyrRV9YjZOq9+2ljyxmkjwz3+o9m/TH5kmQfzH7XC2IDil9wqRLVAWKd4mscuXlk55VucSu82junHUvyTk/3QVpHmVkXlFgeI1FBVHWZeW2n60iOiNfLXmYnGV9Oq+OyK0CV0j31xOrbM2+q/MbyaMXIamOzc1EvlqSV5DeSlxn+B46Mb+DND2+r02wk1xdbpHk29xFKh3anb1kPSThVcDzu+m/iePmPB9DvT5S3zVVuyJqMuNzf3xEfj/h92WAjMRwYJBAy7/ghgifi4b8e7VYmQ7dUdEQYdurQ/l6uvRrauKp4DV6lK8roAGrbW6cyRHQbMvgMLcQIRVq16nVSJ9ueMBa0vL1adxtu6WWijGUv09E57peenOkRET5fMdSPm8x5fMXU34fJJTvw4Dy+2Iw+h99oA/0gT7QB/pAH+gDfaAP9IE+0Af6QB/oA32gD/SBPtAH+kAf6AN9oA/0gT7QB/pAH+gDfaAP9IE+0Af6QB/oA32gD/SBPtAH+kAf6AN9/K8+/gIkdKwrAQAAAACAAAAgNQAA3AAAAA==eJzt1T1LAgEcwOGIBiH1XiQQBJdwkMOpL2CDObU6CjUo16DggTS0nE0NTg5CnHLc5hYpaE6CREOEUMotLjeFjbfdZrv/j/Cbno/wKM6FN5nGiwoiHujr4eWqlkBEQffpJdidJRFR0Dxq2ifviCgZufXxn6UgomBw2ht1NBURBUvlVqSYiCjZ7Tf0xwUiSobf17dqWkNEwUqy8DpoIqLksJr/VD8QUfL4OZYZZnVEFKxvfu+MNiJK/icyn30homTqZvlj5FKIKHjveOdvD4goufVt62qNiJJ7jC93YA==AQAAAACAAAAgNQAAmhAAAA==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AQAAAACAAAAgNQAAOxoAAA==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AQAAAACAAAAgNQAARhcAAA==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AQAAAACAAAAgNQAAWRUAAA==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AQAAAACAAAAgNQAABg8AAA==eJxlm0mMHVcVhnt0z/M8ut2D3e0xxiYEjMMTIMUIWIQoA+A1SLDgvbYsOUY0KFZkydgYITaEJSFBSCBAWRiWBkVCAkE2RLBBgQUQIzuBeJ6od+7/vf/dojelqnfr3DOf/5xbfeyt0+M/PVCr1C9PbNQqlxZfvPLkeq1y/OLl6+urtcqvr68fv7jT15e+V/yt1Sob9QXF718tXnureL69eO3Scq1Svywu1CrF09Pjo1o/Uqt8of43WavUl58u6P+7WPbirlqlpf63pP1napXa0d43fzBdq9Qv1QnRLeh8ps7YiNY17R/0iuuNgr3LO0z/UP1vT61SUDnau137zdUqdbGOz4n+Dsk1q/sR7d8vegN6b0h6mbacwfe0+BmQfNsk96D2GdL+Q9LToPQxo+dzljf0Pe19Q94JrUeuefGx5PdC3wOSd6xW+f3vir9xyxHy9Wq/Pt+HXFPWf138o4umH3R3iO6crivS05roHZCcu3S/R/vuFb97xf8+8fXhWuXlYtmbR7Tfo3rvY6L/eelvS3Rfld7+JD4f20z03thM7/3hRNLT0ycTvS+dSus/97VklysvJDpfP5vs9rdzad23zyc5915Icj57IdH9xIXEx9SF9P7fzzfshn/G/az4n5V8C3q+LD9Ylh0XpMcR2Xdc13mt2ym5t0sPY9Jbt+g9qKb1HZK/33YL+hOy17jtjx8TbyH3rOhNyq96xHeP9p2yf4WcC6KzYD+ATrw3IX7mZacp2bdb8rWIrw7RHdbzfq3vs5z4JdfYr1N8jEjOGesr6KzrftFxgt8H3zPOQ5Enpm0P1sV12vYMv52Xf05ZzvDHXq3vEN1WXXskz5j0g34XnFfYF7roOfZb1XuLXge/se+y/Gyn7t+n9yra50nR/aLobEk/P6tVjtUVeFfvf2cz+c2rJ9L+z51M/NdOJT1/eivdHzmT6L9yNunl0rlkl4OKl18oHn5zPtEtriFnm+zVWcvjZcT5G/9DD6HPJenjsOy533rBruRF9BLvz7kOxO9L8sdx24m8HNcJ5/3ge9J+kMXntP0+9mmqG+Tbsr8R16GfedFb0/2q6KyI/yXpA3vutN+Rd0OfTXmYeAw9jTteyeNh5yHx1ek4pO5mfj7qehb6HnV8ccU+xDt5Lu6b6hf6DnknnNdCniXrj/pCfMAv/IRYs6X4wW967U+xbtL8kJdi/T7paZ/0sl/58JDseVT8fFLyPyV/OCt6r0hP96TnlzcVNyfSe0+dTPz85VSS5/hWovP0mWTXH51NdvnhuSTfX7+Z+D18vhHvwdek9u+TP9yrpvduKs8X96HfTufn4KPX+kA/4JGw46z9ELvHPmPOY9Sp4GNZv684T+Hf+Bt5nTiCLvUG/EM+j/dbnB+D3zbZrahjcd0m/+3S/u2uC6Fn6teA7NDvOgaOin26te/DauKjw/yRZ/CnoDtkeUKfo45f9MQ+5HPig7pMnsBfs7o3L79e8ZX4DzfcVYr3VeM//II6QF4kfpCHvFWuh+ST8Kd1vf+I/GTD9kS/xB/0iNtYvyZ9HND1iN7/rOif0rqfy06tm+n3n6i+fP9Eovutk8keA8+n+x9vJT5fOJPsVdSXsO/j5xr1I/hq17WwK3kKPyPfhNyDkqdLdm+VXov4SXFcTfy2yI86pLcR5/dYN2x/QC9xHXP9Cv33Gs8H3WHzhT/gr+Cf4OdWNb13t5rodjmOg48ev0ffEPtt0z4dxkO8jx3RB/Uo9ht3fQx517Ru1X5DnkDOuM45DwS9GeuH/J7lkwXTDX53uy8MOfaL/8Py/wPa97D8/pCfx/rd7iOpk9QN8DH1AjsgD+uJu+B71bgOXEUdx3/ieY/zY/C1S3S2u54E/UfoPyTHY3r/g3r+cdF9Rvr/iuL/vOR7XfY+uJne++1m4vOP6l/eOKl6IDz2561kz++eaeDP0MOQ63lW1we1X7/zKXiA98Hb9Jesx8+CTpvkeFBt5Ff8k/2Dfrfe63YdAjegd/IxuAHcgn+Bk8lP5GPqG/MD8i/+h//S/5C3iQvsyb5cybPEB7iL+CUPhv2njBuJU+KAviPsTr7d6zigXw69TbtOZPh+3HbJ6iv4rUV8PnT+CPnv2i5Br9P2ACcEPXBDU72NdcOl/nBU9hv2vAC/AicQD/Afz3mv23kkyy9L2nfF+YW4DP18QPZ8Qnp7Rvr8hta9hjybSe+/3Ez7vn4iyX9R/UvP8434J3/R94FTs/humo8gD3MP6nHob4eeN8nPHCnrEyaM06hfIV+77Nzvfhs7YLfs9wH7O/FMfYv1re6j2Rf/BTfE70vGdcwjMnkWLUfwvaH3dxufBLkZ923ELf0A/Ul2XfacijjN6l2b5GzV713207B7t/NO+FVRv1kfemh3viLOwS/MQ4hbfsefuaLXbI626vpC3iGe0HfWL067D8twdp/fxw7MJ9EL8zP8Cb2D05ijBfnHdX1U9Cp6/yO6f87xEnq7TP3bTPe/2kzrXjvR8Ev6c+xC3qePJC+Rn4lb+lD8BnzMPAr8T/6h/oD3eR7893k9+S38+7b6gza/F37eabyPnsHD4G7wCHUIP4d/+iPkwD74O7i3jBPAf2U5sv5zxvyQZ/BH5lD0VcwvuCd+2Q//Ao+Cc8DB+CF0yePkDeo6fJLvsrrbVI+zfDLgvE69B5eH/to878rm8rP2G/Bz8N1lObI4HZKeBozniCfwazxfdF4DV9I3Ua/Ja1m9baoDzM3i+lHp4VnJ85Lo37D84O94vs24G1wU6wo/jefXhYveUV2+Uk37vC0/vuE6Hfs+rDboxX27+wjm9+gHO4I3wC1xHZS8XY4z6jD9NHajfmAX9IT/4KfMU+n7Yv+DtkPwOf//823OT6iT4AlwIfGa9VFNeCP4bOpziPesfgw574P3kAP90AcxH8jw74D8psPzgtiv6MuS/VVnCnsGfzeMt7ATfkGeBA8yl0fP6J05SDy/abrsG/q6oXnPO9UG3qOPpS4idzY3acK/GT+dkq/d9Ra+4Jd8AT4I/e7y3DWuHxL/nxK9L5tO+Xwr+O4vxXWP+yrsC64Nudtqjfoe9Av9pDmCcRPnANBFXvI4+Y4+jnxEfs3OBXZ4/nJM55zBz0Hxs9vnhuBG6kjoYdjnMPTzod//aO7U4vhDz/Tv5DnwJn7LuQlzUuKQPEr/xDyZc6cMHzbVybBPn/0x+LtTbdRX+GEuTP4Ad+FH5H/OkfideTp6CPsU8RHrryr//UP+/c9q4vdfsu81/X5Tc837ypv39P6DamPeQ95lTgM/WZz1GScy98MP6HeJP+apxD9yQ586nNWTCed/8Ap2oa9hThF03m9cFfzeEV/vSe/Y4W610Y+B+6ELnorfB413Yn/wUavnSuAk8DH6y/DXtP2YuGBORHySd9FX8H1L9rgme12vNuSirpE3szlun/0dOfBP4h07kgfYN8uLd+wPwe9t+UuL+1nyHH5N/Qb/Z33KpOtPeY7LPIP3wVvoDXzE/Jg5YFZvxoxfqE/g0riuS769xiv0VcwlqVeZf3R7X/BYhuPvuz7F8z7zh9+SV+P3m9JjoWfwHHgBXILd4Cfja9R1nvN9zvXBZ+DgbN485bhlTgBOQB7qA+cE4KywP/miw/OL8ncY4HD0Rv0Dp4UdbikvXVde+m+1kUeo2+g/w/Fjnt+Ag8LOGyX593n+A05lrkO/jz2YB1DXiFf0xRwFvJTNiVvcDxMH5LWs397mepz1pz3GC8QZcUieCb302v/xc/ADdYR5Iv7EeT/04Isrz4PO/Wqjz87OuUZ9Tpv1R33GceAQ/B6cxz39f/bdzrD7/+xcdNzxi/+Cx8Ff9D3oB71xzkV+D3u/W03yXvMVfEkdxd/L507EeXa+MO96w3yAOTXnGOAi8Aq4mTqHHZmH0W+Ce5jjM0fLzmNHnU/Ae+RL8g11IMPz91w/Qo+3jIPTdwme7zAPwE7gDvAVdSn4elv156rpUVfAMWGH1tI8u814ABzDlbwQfL9XbdRd8iH4Av8ifoKPB6X5LOeRTfWd+oNd6Mezc72m70/Af8Q9cUtfkOGGFc/xwLX0aeTb4GfYccX5LX5GnJDnyue79Auc0zC3wi85h+S8JpsfN51LcGU+kL6zKp1PDziPoE/mjLHP7tLcbM3vgxeRi/NfcD16Zi5EvJTxI+/j5+gPXAxeR5/ZOdOM6WX4kXx417g35GxxXwo/xBn1DlyRzZGWnA9Cvg1/bxdy7vf3m1k/1DSvQg76Cuay1Bn8HL1SZ/EL/DybZ/S7Dmd9UE8tn3/Q973rvoo8Sr4E57IP8QguYh7JPANcQV2M+zvK07d9foIf4g8ZTm76fozzINZxHkr8krfpW8lH4DNwBfpAn+AZ8id1lX2JP/yAekw84xf04cw9wBeZPVpcVzK7z7lO0g9Q96DH3I56w3yIuSnzNeZ04BnqG3EOn9RR5MjmwXPOI3G/R3bf6+98wO3UibK+yCfYh3jBTlmc36828jd9JPiT/gR9Igc4CHnZl7ycza8eVvPvEyY8fwV3oAfsUe738b9sTjDmPoV8BR7McD3zwVv2e/APeSw7D+xxP0AcUrep19RP/Ao8w7yy3FeSR0K/96o5Lm9VXrmhOL9abXy/kc2PB11nqc/My5CTvJP1o12luRzf0TadB5FXiQPoUOfB7/hT0OW7gDXjM/yCOQC4GJwJ7qIecf4E7qefZD/4yL5Xn3LeIx+gb+TJzm3G/J0J8wTyLzgcv0CfrMNPy3U1yz/TzovMteATfTBvYE4LDqLvBtdzxT4Zjhvw7/RH2fnljOMh+15xsfT9yIrfI774bor8Qp5gXkKcg7MiTtZcb4PP3f7uinNE5M/6kx7jXM790QO4oVzHynrmih6YG6GH7Nxx3vrDX9Av/kV9pV/lHA38z37MUaj/8fui+we+42D+Qj0DN3GuQ56HTvkcgLoBns/m9n22M3UKPZKHyDvMY5kjo3/yO/khO4duOhflOfmSPEn8lv9fA7wLHgMvM39mbghuIs7Iu8QveYh+FP7B0cxR6KepO/RR9D3okbpPfwzdzJ4TxifU56wf63ffks33mubO5Ols36b8T11i3pPlox7XV+YK2Xej21yvsR/8lumgJ+QGd+CP1KkMj4wYX0KP/pP8+T9kbc8bAQAAAACAAAAgNQAAJAAAAA==eJztwQENAAAAwqD3T20ON6AAAAAAAAAAAAAAAAAAPg01IAABAQAAAACAAAAgNQAAJAAAAA==eJztwQENAAAAwqD3T20ON6AAAAAAAAAAAAAAAAAAPg01IAABAQAAAACAAAA4VQAA9xEAAA==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AQAAAACAAAAgNQAA6ggAAA==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AQAAAACAAACkBgAAFgAAAA==eJzj5BwFo2AUjIJRMAoGJwAAoOg7xQ==
|
| 34 |
+
</AppendedData>
|
| 35 |
+
</VTKFile>
|
CylinderKnMa/Kn0p34/simulation0743_Kn0p34Ma6p2/grid/Grid_300000.pvtu
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
<?xml version="1.0"?>
|
| 2 |
+
<VTKFile type="PUnstructuredGrid" version="0.1"
|
| 3 |
+
byte_order="LittleEndian"
|
| 4 |
+
compressor="vtkZLibDataCompressor">
|
| 5 |
+
<PUnstructuredGrid GhostLevel="0">
|
| 6 |
+
<PCellData>
|
| 7 |
+
<PDataArray type="Float64" Name="id"/>
|
| 8 |
+
<PDataArray type="Float64" Name="xc"/>
|
| 9 |
+
<PDataArray type="Float64" Name="yc"/>
|
| 10 |
+
<PDataArray type="Float64" Name="f_1[1]"/>
|
| 11 |
+
<PDataArray type="Float64" Name="f_1[2]"/>
|
| 12 |
+
<PDataArray type="Float64" Name="f_1[3]"/>
|
| 13 |
+
<PDataArray type="Float64" Name="f_1[4]"/>
|
| 14 |
+
<PDataArray type="Float64" Name="f_1[5]"/>
|
| 15 |
+
<PDataArray type="Float64" Name="f_1[6]"/>
|
| 16 |
+
<PDataArray type="Float64" Name="f_1[7]"/>
|
| 17 |
+
<PDataArray type="Float64" Name="f_1[8]"/>
|
| 18 |
+
<PDataArray type="Float64" Name="f_1[9]"/>
|
| 19 |
+
<PDataArray type="Float64" Name="f_1[10]"/>
|
| 20 |
+
</PCellData>
|
| 21 |
+
<PPoints>
|
| 22 |
+
<PDataArray type="Float32" Name="Points" NumberOfComponents="3"/>
|
| 23 |
+
</PPoints>
|
| 24 |
+
<Piece Source="Grid_0_300000.vtu"/>
|
| 25 |
+
<Piece Source="Grid_1_300000.vtu"/>
|
| 26 |
+
<Piece Source="Grid_2_300000.vtu"/>
|
| 27 |
+
<Piece Source="Grid_3_300000.vtu"/>
|
| 28 |
+
</PUnstructuredGrid>
|
| 29 |
+
</VTKFile>
|
CylinderKnMa/Kn0p34/simulation0743_Kn0p34Ma6p2/grid/Grid_3_300000.vtu
ADDED
|
@@ -0,0 +1,35 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
<?xml version="1.0"?>
|
| 2 |
+
<VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
|
| 3 |
+
<UnstructuredGrid>
|
| 4 |
+
<Piece NumberOfPoints="540" NumberOfCells="493" >
|
| 5 |
+
<PointData>
|
| 6 |
+
</PointData>
|
| 7 |
+
<CellData>
|
| 8 |
+
<DataArray type="Float64" Name="id" format="appended" RangeMin="13001" RangeMax="15093" offset="0" />
|
| 9 |
+
<DataArray type="Float64" Name="xc" format="appended" RangeMin="3.5698" RangeMax="5.9574" offset="892" />
|
| 10 |
+
<DataArray type="Float64" Name="yc" format="appended" RangeMin="3.5897" RangeMax="4.9573" offset="1296" />
|
| 11 |
+
<DataArray type="Float64" Name="f_1[1]" format="appended" RangeMin="29.933" RangeMax="78.044" offset="1540" />
|
| 12 |
+
<DataArray type="Float64" Name="f_1[2]" format="appended" RangeMin="4.4301e+19" RangeMax="1.1551e+20" offset="4400" />
|
| 13 |
+
<DataArray type="Float64" Name="f_1[3]" format="appended" RangeMin="2.9372e-06" RangeMax="7.658e-06" offset="9244" />
|
| 14 |
+
<DataArray type="Float64" Name="f_1[4]" format="appended" RangeMin="1665.2" RangeMax="1909.9" offset="14180" />
|
| 15 |
+
<DataArray type="Float64" Name="f_1[5]" format="appended" RangeMin="-0.86659" RangeMax="469.82" offset="15824" />
|
| 16 |
+
<DataArray type="Float64" Name="f_1[6]" format="appended" RangeMin="-3.4525" RangeMax="3.0417" offset="18944" />
|
| 17 |
+
<DataArray type="Float64" Name="f_1[7]" format="appended" RangeMin="0.1665" RangeMax="1.4462" offset="23564" />
|
| 18 |
+
<DataArray type="Float64" Name="f_1[8]" format="appended" RangeMin="271.82" RangeMax="919.18" offset="27856" />
|
| 19 |
+
<DataArray type="Float64" Name="f_1[9]" format="appended" RangeMin="0" RangeMax="0" offset="30096" />
|
| 20 |
+
<DataArray type="Float64" Name="f_1[10]" format="appended" RangeMin="0" RangeMax="0" offset="30156" />
|
| 21 |
+
</CellData>
|
| 22 |
+
<Points>
|
| 23 |
+
<DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="5.00219233" RangeMax="7.8102496759" offset="30216" />
|
| 24 |
+
</Points>
|
| 25 |
+
<Cells>
|
| 26 |
+
<DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="31888" />
|
| 27 |
+
<DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="35184" />
|
| 28 |
+
<DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="36148" />
|
| 29 |
+
</Cells>
|
| 30 |
+
</Piece>
|
| 31 |
+
</UnstructuredGrid>
|
| 32 |
+
<AppendedData encoding="base64">
|
| 33 |
+
_AQAAAACAAABoDwAAiwIAAA==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eJyTE8vy/dzH42DLdX1xgS2vw9QrnBlKb3gd3s6z0bkyi8/BJTP/Q6snv0NK7B035h/8Dvcmt7dGBQs4cP5ckL55lYCDZPF1oU+Mgg6uNz588YoUdCgEGbRB0GHOIuWdf9iFHNbIRKVYxws53GgsdpuyTciB5XmPxlteYQfhxMOXtVOFHeyP3dnaskfYIVv72/S7wiIO0yfwV5llizgs43JTLT0k4nApP579nKSow78rFS/VCkUd+PzXT0k9IepgueVE2T55MYdUyUcR4uViDhPrflsVnBNzWPjD8Nk6VXGHM7HeJ9hrxR1+HEpZlXBF3EFu1J+j/hz156g/R/056s9Rf476c9Sfo/4c9eeoP0f9OepPOvgTANBWU0Y=AQAAAACAAABoDwAApQAAAA==eJzjn2O8aMt2Hgf+YU5fF/rkeD6Nd9jTCzo3PHwpyjfs6UyG/EaWo8Of/rkgffOrYv5hTz/knryySVBg2NOu7kU/+TOHP907PU+o+cDwpz9d8k0SkBAc9nQYn+6mufnDn54Xp3la4Pjwp5lmcUjPkxMa9nT61edZ2mXDnwZG6q4dZ4c/LZx4+LK2qvCwpyvmLFLeWTP86TvXG4vdrgx/GgBVFzmoAQAAAACAAABoDwAATggAAA==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AQAAAACAAABoDwAAHg4AAA==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AQAAAACAAABoDwAAYg4AAA==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AQAAAACAAABoDwAAvQQAAA==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AQAAAACAAABoDwAAEQkAAA==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AQAAAACAAABoDwAAdQ0AAA==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AQAAAACAAABoDwAAgQwAAA==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AQAAAACAAABoDwAAGwAAAA==eJztwTEBAAAAwqD1T20JT6AAAACAlwEPaAABAQAAAACAAABoDwAAGwAAAA==eJztwTEBAAAAwqD1T20JT6AAAACAlwEPaAABAQAAAACAAABQGQAA0wQAAA==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AQAAAACAAACgPQAAlgkAAA==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AQAAAACAAADtAQAADgAAAA==eJzj5BwFIwYAALvgEVY=
|
| 34 |
+
</AppendedData>
|
| 35 |
+
</VTKFile>
|
CylinderKnMa/Kn0p34/simulation0743_Kn0p34Ma6p2/grid/final-grid.dat
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p34/simulation0743_Kn0p34Ma6p2/log.sparta
ADDED
|
@@ -0,0 +1,319 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
SPARTA (4 Sep 2024)
|
| 2 |
+
Running on 128 MPI task(s)
|
| 3 |
+
variable BZ equal 1.380649E-23
|
| 4 |
+
variable PI equal 3.1415926536
|
| 5 |
+
variable molecular_mass equal 6.63E-26
|
| 6 |
+
variable molecular_diameter equal 4.17E-10
|
| 7 |
+
variable gamma equal 1.666666667
|
| 8 |
+
variable R equal ${BZ}/${molecular_mass}
|
| 9 |
+
variable R equal 1.380649e-23/${molecular_mass}
|
| 10 |
+
variable R equal 1.380649e-23/6.63e-26
|
| 11 |
+
variable L equal 1.0
|
| 12 |
+
variable xmin equal -5.0
|
| 13 |
+
variable xmax equal 6.0
|
| 14 |
+
variable ymin equal -5.0
|
| 15 |
+
variable ymax equal 5.0
|
| 16 |
+
variable Kn equal 0.34
|
| 17 |
+
variable Ma equal 6.2
|
| 18 |
+
variable To equal 273.0
|
| 19 |
+
variable Tb equal 273.0
|
| 20 |
+
variable theta equal 0.0
|
| 21 |
+
variable mfp equal ${Kn}*${L}
|
| 22 |
+
variable mfp equal 0.34*${L}
|
| 23 |
+
variable mfp equal 0.34*1
|
| 24 |
+
variable cpmfp equal 4
|
| 25 |
+
variable nden equal 1.0/sqrt(2.0)/${PI}/${molecular_diameter}/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
|
| 26 |
+
variable nden equal 1.0/sqrt(2.0)/3.1415926536/${molecular_diameter}/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
|
| 27 |
+
variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
|
| 28 |
+
variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(${mfp}/${cpmfp}*${Kn})
|
| 29 |
+
variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.34/${cpmfp}*${Kn})
|
| 30 |
+
variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.34/4*${Kn})
|
| 31 |
+
variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.34/4*0.34)
|
| 32 |
+
variable sos equal sqrt(${gamma}*${R}*${To})
|
| 33 |
+
variable sos equal sqrt(1.666666667*${R}*${To})
|
| 34 |
+
variable sos equal sqrt(1.666666667*208.242684766214*${To})
|
| 35 |
+
variable sos equal sqrt(1.666666667*208.242684766214*273)
|
| 36 |
+
variable vo equal ${Ma}*${sos}
|
| 37 |
+
variable vo equal 6.2*${sos}
|
| 38 |
+
variable vo equal 6.2*307.815564238681
|
| 39 |
+
variable vx equal ${vo}*cos(${theta}*2*PI/360)
|
| 40 |
+
variable vx equal 1908.45649827982*cos(${theta}*2*PI/360)
|
| 41 |
+
variable vx equal 1908.45649827982*cos(0*2*PI/360)
|
| 42 |
+
variable vy equal ${vo}*sin(${theta}*2*PI/360)
|
| 43 |
+
variable vy equal 1908.45649827982*sin(${theta}*2*PI/360)
|
| 44 |
+
variable vy equal 1908.45649827982*sin(0*2*PI/360)
|
| 45 |
+
variable ppc equal 30
|
| 46 |
+
variable xncells equal (${xmax}-${xmin})/${mfp}*${cpmfp}
|
| 47 |
+
variable xncells equal (6-${xmin})/${mfp}*${cpmfp}
|
| 48 |
+
variable xncells equal (6--5)/${mfp}*${cpmfp}
|
| 49 |
+
variable xncells equal (6--5)/0.34*${cpmfp}
|
| 50 |
+
variable xncells equal (6--5)/0.34*4
|
| 51 |
+
variable yncells equal (${ymax}-${ymin})/${mfp}*${cpmfp}
|
| 52 |
+
variable yncells equal (5-${ymin})/${mfp}*${cpmfp}
|
| 53 |
+
variable yncells equal (5--5)/${mfp}*${cpmfp}
|
| 54 |
+
variable yncells equal (5--5)/0.34*${cpmfp}
|
| 55 |
+
variable yncells equal (5--5)/0.34*4
|
| 56 |
+
variable Fnum equal ${nden}*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
|
| 57 |
+
variable Fnum equal 4.47883616959053e+19*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
|
| 58 |
+
variable Fnum equal 4.47883616959053e+19*(6-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
|
| 59 |
+
variable Fnum equal 4.47883616959053e+19*(6--5)*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
|
| 60 |
+
variable Fnum equal 4.47883616959053e+19*(6--5)*(5-${ymin})/${ppc}/${xncells}/${yncells}
|
| 61 |
+
variable Fnum equal 4.47883616959053e+19*(6--5)*(5--5)/${ppc}/${xncells}/${yncells}
|
| 62 |
+
variable Fnum equal 4.47883616959053e+19*(6--5)*(5--5)/30/${xncells}/${yncells}
|
| 63 |
+
variable Fnum equal 4.47883616959053e+19*(6--5)*(5--5)/30/129.411764705882/${yncells}
|
| 64 |
+
variable Fnum equal 4.47883616959053e+19*(6--5)*(5--5)/30/129.411764705882/117.647058823529
|
| 65 |
+
variable tstep equal (-${xmin}+${xmax})/${vx}/${xncells}/10/4
|
| 66 |
+
variable tstep equal (--5+${xmax})/${vx}/${xncells}/10/4
|
| 67 |
+
variable tstep equal (--5+6)/${vx}/${xncells}/10/4
|
| 68 |
+
variable tstep equal (--5+6)/1908.45649827982/${xncells}/10/4
|
| 69 |
+
variable tstep equal (--5+6)/1908.45649827982/129.411764705882/10/4
|
| 70 |
+
variable nave equal 10000
|
| 71 |
+
variable noutput equal 300000
|
| 72 |
+
clear
|
| 73 |
+
Running on 128 MPI task(s)
|
| 74 |
+
shell mkdir output
|
| 75 |
+
shell mkdir grid
|
| 76 |
+
shell mkdir surf
|
| 77 |
+
seed 7
|
| 78 |
+
dimension 2
|
| 79 |
+
global nrho ${nden}
|
| 80 |
+
global nrho 4.47883616959053e+19
|
| 81 |
+
global fnum ${Fnum}
|
| 82 |
+
global fnum 1.07865304417639e+16
|
| 83 |
+
timestep ${tstep}
|
| 84 |
+
timestep 1.11346525420693e-06
|
| 85 |
+
global gridcut 1.0 particle/reorder 100 comm/sort yes
|
| 86 |
+
region 1 cylinder z 0.0 0.0 3.50 -0.5 0.5
|
| 87 |
+
region 2 cylinder z 0.0 0.0 2.00 -0.5 0.5
|
| 88 |
+
region 3 cylinder z 0.0 0.0 0.80 -0.5 0.5
|
| 89 |
+
boundary o o p
|
| 90 |
+
create_box ${xmin} ${xmax} ${ymin} ${ymax} -0.5 0.5
|
| 91 |
+
create_box -5 ${xmax} ${ymin} ${ymax} -0.5 0.5
|
| 92 |
+
create_box -5 6 ${ymin} ${ymax} -0.5 0.5
|
| 93 |
+
create_box -5 6 -5 ${ymax} -0.5 0.5
|
| 94 |
+
create_box -5 6 -5 5 -0.5 0.5
|
| 95 |
+
Created orthogonal box = (-5 -5 -0.5) to (6 5 0.5)
|
| 96 |
+
create_grid ${xncells} ${yncells} 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
|
| 97 |
+
create_grid 129.411764705882 ${yncells} 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
|
| 98 |
+
create_grid 129.411764705882 117.647058823529 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
|
| 99 |
+
Created 66372 child grid cells
|
| 100 |
+
CPU time = 0.0986881 secs
|
| 101 |
+
create/ghost percent = 1.21561 98.7844
|
| 102 |
+
balance_grid rcb cell
|
| 103 |
+
Balance grid migrated 66244 cells
|
| 104 |
+
CPU time = 0.0956243 secs
|
| 105 |
+
reassign/sort/migrate/ghost percent = 57.1812 0.0961461 8.69989 34.0228
|
| 106 |
+
species gas.species Ar
|
| 107 |
+
mixture air Ar frac 1.0
|
| 108 |
+
mixture air Ar vstream ${vx} ${vy} 0.0 temp ${To}
|
| 109 |
+
mixture air Ar vstream 1908.45649827982 ${vy} 0.0 temp ${To}
|
| 110 |
+
mixture air Ar vstream 1908.45649827982 0 0.0 temp ${To}
|
| 111 |
+
mixture air Ar vstream 1908.45649827982 0 0.0 temp 273
|
| 112 |
+
collide vss air gas.vhs
|
| 113 |
+
collide_modify vremax 100 yes remain no nearcp yes 10
|
| 114 |
+
read_surf cylinder.surf
|
| 115 |
+
200 lines
|
| 116 |
+
-0.5 0.5 xlo xhi
|
| 117 |
+
-0.5 0.5 ylo yhi
|
| 118 |
+
0 0 zlo zhi
|
| 119 |
+
0.0157073 min line length
|
| 120 |
+
374 0 = cells overlapping surfs, overlap cells with unmarked corner pts
|
| 121 |
+
59296 6702 374 = cells outside/inside/overlapping surfs
|
| 122 |
+
374 = surf cells with 1,2,etc splits
|
| 123 |
+
109.215 109.215 = cell-wise and global flow volume
|
| 124 |
+
CPU time = 0.103162 secs
|
| 125 |
+
read/check/sort/surf2grid/ghost/inout/particle percent = 25.0863 21.9343 2.46711 22.4566 28.0556 6.80647 0.130415
|
| 126 |
+
surf2grid time = 0.0231667 secs
|
| 127 |
+
map/comm1/comm2/comm3/comm4/split percent = 13.3721 24.464 4.86289 2.7191 11.6523 7.26235
|
| 128 |
+
surf_collide 1 diffuse 273.0 1.0
|
| 129 |
+
surf_modify all collide 1
|
| 130 |
+
fix in emit/face air xlo ylo yhi
|
| 131 |
+
balance_grid rcb cell
|
| 132 |
+
Balance grid migrated 1906 cells
|
| 133 |
+
CPU time = 0.0407145 secs
|
| 134 |
+
reassign/sort/migrate/ghost percent = 7.56364 0.0734872 23.0454 69.3175
|
| 135 |
+
create_particles air n 0
|
| 136 |
+
WARNING: Created unexpected # of particles: 453485 versus 453486 (../create_particles.cpp:346)
|
| 137 |
+
Created 453485 particles
|
| 138 |
+
CPU time = 0.013117 secs
|
| 139 |
+
stats 10000
|
| 140 |
+
stats_style step cpu np nattempt ncoll nscoll npave nscollave
|
| 141 |
+
run 200000
|
| 142 |
+
Memory usage per proc in Mbytes:
|
| 143 |
+
particles (ave,min,max) = 1.6084 0 1.6875
|
| 144 |
+
grid (ave,min,max) = 3.23499 1.51379 5.26379
|
| 145 |
+
surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
|
| 146 |
+
total (ave,min,max) = 4.86398 3.22189 6.97189
|
| 147 |
+
Step CPU Np Natt Ncoll Nscoll Npave Nscollave
|
| 148 |
+
0 0 453485 0 0 0 0 0
|
| 149 |
+
10000 12.254937 504944 6392 5631 19 478038.03 17.58
|
| 150 |
+
20000 26.603649 507206 6334 5610 23 492566.92 17.83055
|
| 151 |
+
30000 42.195625 508411 6374 5585 16 497590.03 17.8961
|
| 152 |
+
40000 57.62663 507836 6483 5682 19 500198.67 17.948175
|
| 153 |
+
50000 72.126445 507542 6415 5661 10 501768.87 17.95228
|
| 154 |
+
60000 86.577133 506875 6501 5705 20 502738.72 17.966617
|
| 155 |
+
70000 102.00909 507821 6376 5693 19 503456.57 17.968229
|
| 156 |
+
80000 118.23276 507934 6496 5771 18 503976.4 17.97415
|
| 157 |
+
90000 132.57633 507909 6370 5632 22 504390.6 17.976356
|
| 158 |
+
100000 146.99044 507628 6506 5720 20 504766.83 17.97515
|
| 159 |
+
110000 161.94467 507487 6366 5734 17 504985.76 17.970245
|
| 160 |
+
120000 177.53015 507328 6541 5730 14 505211.77 17.973617
|
| 161 |
+
130000 192.04616 508256 6393 5643 17 505412.59 17.978885
|
| 162 |
+
140000 206.55433 506349 6412 5690 21 505590.24 17.977479
|
| 163 |
+
150000 221.50217 507787 6309 5579 21 505725.55 17.980053
|
| 164 |
+
160000 236.71444 506763 6392 5638 15 505865.16 17.980481
|
| 165 |
+
170000 251.22926 507680 6329 5583 15 505953.98 17.976088
|
| 166 |
+
180000 265.67806 508015 6453 5680 21 506045.25 17.979467
|
| 167 |
+
190000 280.37783 507650 6465 5740 14 506126.32 17.984142
|
| 168 |
+
200000 296.23949 507096 6296 5578 16 506191.11 17.98493
|
| 169 |
+
Loop time of 296.24 on 128 procs for 200000 steps with 507096 particles
|
| 170 |
+
|
| 171 |
+
MPI task timing breakdown:
|
| 172 |
+
Section | min time | avg time | max time |%varavg| %total
|
| 173 |
+
---------------------------------------------------------------
|
| 174 |
+
Move | 0.022185 | 12.381 | 80.236 | 458.9 | 4.18
|
| 175 |
+
Coll | 0.34136 | 9.9652 | 83.477 | 432.4 | 3.36
|
| 176 |
+
Sort | 0.11395 | 2.1111 | 14.179 | 191.6 | 0.71
|
| 177 |
+
Comm | 73.722 | 117.13 | 134.28 | 126.1 | 39.54
|
| 178 |
+
Modify | 0.017916 | 0.11516 | 2.2316 | 97.5 | 0.04
|
| 179 |
+
Output | 0.0052206 | 0.010597 | 0.012683 | 1.0 | 0.00
|
| 180 |
+
Other | | 154.5 | | | 52.16
|
| 181 |
+
|
| 182 |
+
Particle moves = 101238222262 (101B)
|
| 183 |
+
Cells touched = 105716265869 (106B)
|
| 184 |
+
Particle comms = 204124289 (204M)
|
| 185 |
+
Boundary collides = 0 (0K)
|
| 186 |
+
Boundary exits = 19526947 (19.5M)
|
| 187 |
+
SurfColl checks = 221724542 (222M)
|
| 188 |
+
SurfColl occurs = 3596986 (3.6M)
|
| 189 |
+
Surf reactions = 0 (0K)
|
| 190 |
+
Collide attempts = 1510945698 (1.51B)
|
| 191 |
+
Collide occurs = 1185277385 (1.19B)
|
| 192 |
+
Reactions = 0 (0K)
|
| 193 |
+
Particles stuck = 0
|
| 194 |
+
Axisymm bad moves = 0
|
| 195 |
+
|
| 196 |
+
Particle-moves/CPUsec/proc: 2.66987e+06
|
| 197 |
+
Particle-moves/step: 506191
|
| 198 |
+
Cell-touches/particle/step: 1.04423
|
| 199 |
+
Particle comm iterations/step: 1
|
| 200 |
+
Particle fraction communicated: 0.00201628
|
| 201 |
+
Particle fraction colliding with boundary: 0
|
| 202 |
+
Particle fraction exiting boundary: 0.000192881
|
| 203 |
+
Surface-checks/particle/step: 0.00219013
|
| 204 |
+
Surface-collisions/particle/step: 3.55299e-05
|
| 205 |
+
Surf-reactions/particle/step: 0
|
| 206 |
+
Collision-attempts/particle/step: 0.0149247
|
| 207 |
+
Collisions/particle/step: 0.0117078
|
| 208 |
+
Reactions/particle/step: 0
|
| 209 |
+
|
| 210 |
+
Particles: 3961.69 ave 27889 max 0 min
|
| 211 |
+
Histogram: 84 16 6 10 2 5 1 2 0 2
|
| 212 |
+
Cells: 518.531 ave 519 max 518 min
|
| 213 |
+
Histogram: 60 0 0 0 0 0 0 0 0 68
|
| 214 |
+
GhostCell: 13340.3 ave 24514 max 724 min
|
| 215 |
+
Histogram: 22 8 12 10 17 3 6 4 16 30
|
| 216 |
+
EmptyCell: 0 ave 0 max 0 min
|
| 217 |
+
Histogram: 128 0 0 0 0 0 0 0 0 0
|
| 218 |
+
Surfs: 200 ave 200 max 200 min
|
| 219 |
+
Histogram: 128 0 0 0 0 0 0 0 0 0
|
| 220 |
+
GhostSurf: 0 ave 0 max 0 min
|
| 221 |
+
Histogram: 128 0 0 0 0 0 0 0 0 0
|
| 222 |
+
compute 1 grid all air n nrho massrho u v w
|
| 223 |
+
compute 2 grid all air trot
|
| 224 |
+
compute 3 tvib/grid all air
|
| 225 |
+
compute 4 thermal/grid all air press temp
|
| 226 |
+
fix 1 ave/grid all 1 ${nave} ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
|
| 227 |
+
fix 1 ave/grid all 1 10000 ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
|
| 228 |
+
fix 1 ave/grid all 1 10000 10000 c_1[*] c_4[*] c_2[*] c_3[*] ave running
|
| 229 |
+
dump 1 grid all ${noutput} output/grid.*.dat id xc yc f_1[*]
|
| 230 |
+
dump 1 grid all 300000 output/grid.*.dat id xc yc f_1[*]
|
| 231 |
+
dump_modify 1 format float %12.5g
|
| 232 |
+
compute 5 surf all air n press px py shx shy fx fy etot erot evib
|
| 233 |
+
fix 2 ave/surf all 1 ${nave} ${nave} c_5[*] ave running
|
| 234 |
+
fix 2 ave/surf all 1 10000 ${nave} c_5[*] ave running
|
| 235 |
+
fix 2 ave/surf all 1 10000 10000 c_5[*] ave running
|
| 236 |
+
dump 2 surf all ${noutput} output/surf.*.dat id v1x v1y v2x v2y f_2[*]
|
| 237 |
+
dump 2 surf all 300000 output/surf.*.dat id v1x v1y v2x v2y f_2[*]
|
| 238 |
+
dump_modify 2 format float %12.5g
|
| 239 |
+
compute 6 lambda/grid f_1[2] f_1[8] Ar kx
|
| 240 |
+
dump 3 grid all ${noutput} output/lambdakn.*.dat id xc yc c_6[*]
|
| 241 |
+
dump 3 grid all 300000 output/lambdakn.*.dat id xc yc c_6[*]
|
| 242 |
+
dump_modify 3 format float %12.5g
|
| 243 |
+
run 100000
|
| 244 |
+
Memory usage per proc in Mbytes:
|
| 245 |
+
particles (ave,min,max) = 1.6875 0 3.375
|
| 246 |
+
grid (ave,min,max) = 3.23499 1.51379 5.26379
|
| 247 |
+
surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
|
| 248 |
+
total (ave,min,max) = 5.11741 3.39595 7.14645
|
| 249 |
+
Step CPU Np Natt Ncoll Nscoll Npave Nscollave
|
| 250 |
+
200000 0 507096 6296 5578 0 0 0
|
| 251 |
+
210000 25.950085 506924 6425 5703 19 507475.9 17.9655
|
| 252 |
+
220000 53.00904 508135 6393 5608 17 507438.68 17.96605
|
| 253 |
+
230000 79.25017 507589 6374 5661 20 507421.14 17.971067
|
| 254 |
+
240000 104.70597 507758 6395 5611 23 507412.69 17.97455
|
| 255 |
+
250000 132.3267 507301 6380 5628 22 507401.03 17.98934
|
| 256 |
+
260000 158.07831 507706 6476 5736 16 507429.78 17.988283
|
| 257 |
+
270000 185.67796 507628 6464 5713 20 507458.28 17.997814
|
| 258 |
+
280000 211.3624 508198 6360 5628 11 507511.15 18.00515
|
| 259 |
+
290000 238.8235 507443 6406 5672 17 507545.03 17.998822
|
| 260 |
+
300000 264.65785 507576 6405 5681 24 507561.42 18.00916
|
| 261 |
+
Loop time of 264.659 on 128 procs for 100000 steps with 507576 particles
|
| 262 |
+
|
| 263 |
+
MPI task timing breakdown:
|
| 264 |
+
Section | min time | avg time | max time |%varavg| %total
|
| 265 |
+
---------------------------------------------------------------
|
| 266 |
+
Move | 0.011454 | 6.2471 | 40.525 | 325.3 | 2.36
|
| 267 |
+
Coll | 0.17174 | 5.0336 | 43.341 | 310.0 | 1.90
|
| 268 |
+
Sort | 0.066272 | 1.0753 | 7.0671 | 135.6 | 0.41
|
| 269 |
+
Comm | 41.043 | 63.254 | 71.689 | 85.3 | 23.90
|
| 270 |
+
Modify | 2.3895 | 17.272 | 105.86 | 502.9 | 6.53
|
| 271 |
+
Output | 0.038599 | 0.040311 | 0.044329 | 0.6 | 0.02
|
| 272 |
+
Other | | 171.7 | | | 64.89
|
| 273 |
+
|
| 274 |
+
Particle moves = 50756142281 (50.8B)
|
| 275 |
+
Cells touched = 53000078420 (53B)
|
| 276 |
+
Particle comms = 102264505 (102M)
|
| 277 |
+
Boundary collides = 0 (0K)
|
| 278 |
+
Boundary exits = 9788858 (9.79M)
|
| 279 |
+
SurfColl checks = 111096369 (111M)
|
| 280 |
+
SurfColl occurs = 1800916 (1.8M)
|
| 281 |
+
Surf reactions = 0 (0K)
|
| 282 |
+
Collide attempts = 761301931 (761M)
|
| 283 |
+
Collide occurs = 597149210 (597M)
|
| 284 |
+
Reactions = 0 (0K)
|
| 285 |
+
Particles stuck = 0
|
| 286 |
+
Axisymm bad moves = 0
|
| 287 |
+
|
| 288 |
+
Particle-moves/CPUsec/proc: 1.49828e+06
|
| 289 |
+
Particle-moves/step: 507561
|
| 290 |
+
Cell-touches/particle/step: 1.04421
|
| 291 |
+
Particle comm iterations/step: 1
|
| 292 |
+
Particle fraction communicated: 0.00201482
|
| 293 |
+
Particle fraction colliding with boundary: 0
|
| 294 |
+
Particle fraction exiting boundary: 0.000192861
|
| 295 |
+
Surface-checks/particle/step: 0.00218883
|
| 296 |
+
Surface-collisions/particle/step: 3.54817e-05
|
| 297 |
+
Surf-reactions/particle/step: 0
|
| 298 |
+
Collision-attempts/particle/step: 0.0149992
|
| 299 |
+
Collisions/particle/step: 0.0117651
|
| 300 |
+
Reactions/particle/step: 0
|
| 301 |
+
|
| 302 |
+
Particles: 3965.44 ave 27930 max 0 min
|
| 303 |
+
Histogram: 84 16 6 10 2 6 0 2 0 2
|
| 304 |
+
Cells: 518.531 ave 519 max 518 min
|
| 305 |
+
Histogram: 60 0 0 0 0 0 0 0 0 68
|
| 306 |
+
GhostCell: 13340.3 ave 24514 max 724 min
|
| 307 |
+
Histogram: 22 8 12 10 17 3 6 4 16 30
|
| 308 |
+
EmptyCell: 0 ave 0 max 0 min
|
| 309 |
+
Histogram: 128 0 0 0 0 0 0 0 0 0
|
| 310 |
+
Surfs: 200 ave 200 max 200 min
|
| 311 |
+
Histogram: 128 0 0 0 0 0 0 0 0 0
|
| 312 |
+
GhostSurf: 0 ave 0 max 0 min
|
| 313 |
+
Histogram: 128 0 0 0 0 0 0 0 0 0
|
| 314 |
+
write_grid grid/final-grid.dat
|
| 315 |
+
grid cells = 66372
|
| 316 |
+
CPU time = 0.00941761 secs
|
| 317 |
+
write_surf surf/geom.surf
|
| 318 |
+
surf elements = 200
|
| 319 |
+
CPU time = 0.00160823 secs
|
CylinderKnMa/Kn0p34/simulation0743_Kn0p34Ma6p2/mir.txt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
dimension 2
|
| 2 |
+
create_box -5.0 6.0 -5.0 5.0 -0.5 0.5
|
| 3 |
+
read_grid grid/final-grid.dat
|
CylinderKnMa/Kn0p34/simulation0743_Kn0p34Ma6p2/output/lambdakn.300000.dat
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p34/simulation0743_Kn0p34Ma6p2/output/surf.300000.dat
ADDED
|
@@ -0,0 +1,209 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
ITEM: TIMESTEP
|
| 2 |
+
300000
|
| 3 |
+
ITEM: NUMBER OF SURFS
|
| 4 |
+
200
|
| 5 |
+
ITEM: BOX BOUNDS oo oo pp
|
| 6 |
+
-5 6
|
| 7 |
+
-5 5
|
| 8 |
+
-0.5 0.5
|
| 9 |
+
ITEM: SURFS id v1x v1y v2x v2y f_2[1] f_2[2] f_2[3] f_2[4] f_2[5] f_2[6] f_2[7] f_2[8] f_2[9] f_2[10] f_2[11]
|
| 10 |
+
1 0.5 0 0.49975 -0.015705 0.00247 0.073671 -0.073662 0.0011572 -1.6985e-05 -0.0010812 -0.0011573 1.193e-06 21.704 0 0
|
| 11 |
+
129 -0.31871 0.38526 -0.30645 0.39508 0.14483 4.845 3.0293 -3.7812 0.78355 0.62774 0.05989 -0.049532 1570.8 0 0
|
| 12 |
+
2 0.49975 -0.015705 0.49901 -0.031395 0.00244 0.072549 -0.072468 0.0034175 0.00027556 0.0058433 -0.001134 0.00014546 20.467 0 0
|
| 13 |
+
130 -0.30645 0.39508 -0.29389 0.40451 0.13939 4.6984 2.821 -3.7573 0.8076 0.60636 0.056996 -0.049492 1545.6 0 0
|
| 14 |
+
3 0.49901 -0.031395 0.49778 -0.047054 0.00229 0.06999 -0.069774 0.0054914 0.00031092 0.0039506 -0.0010911 0.00014831 18.194 0 0
|
| 15 |
+
131 -0.29389 0.40451 -0.28104 0.41354 0.13263 4.4573 2.563 -3.6468 0.7964 0.55972 0.052767 -0.048489 1481.4 0 0
|
| 16 |
+
4 0.49778 -0.047054 0.49606 -0.062667 0.00256 0.080131 -0.079648 0.0087932 -0.00013598 -0.0012316 -0.0012532 0.00011877 24.226 0 0
|
| 17 |
+
132 -0.28104 0.41354 -0.26791 0.42216 0.12427 4.1509 2.2789 -3.4693 0.81382 0.53458 0.048579 -0.046097 1386.9 0 0
|
| 18 |
+
5 0.49606 -0.062667 0.49384 -0.078217 0.0024 0.07287 -0.072143 0.010268 -0.00025726 -0.0018076 -0.0011372 0.00013288 20.689 0 0
|
| 19 |
+
133 -0.26791 0.42216 -0.25452 0.43037 0.11597 3.8859 2.0304 -3.3133 0.84323 0.51673 0.045137 -0.043926 1302.9 0 0
|
| 20 |
+
6 0.49384 -0.078217 0.49114 -0.093691 0.00187 0.054716 -0.053901 0.0094073 0.000815 0.0046697 -0.00083384 0.00022111 16.391 0 0
|
| 21 |
+
134 -0.25452 0.43037 -0.24088 0.43815 0.10891 3.655 1.8109 -3.1749 0.77164 0.44014 0.040565 -0.042955 1227.5 0 0
|
| 22 |
+
7 0.49114 -0.093691 0.48796 -0.10907 0.00193 0.056158 -0.054991 0.011388 0.0012592 0.0060803 -0.00084399 0.00027438 13.115 0 0
|
| 23 |
+
135 -0.24088 0.43815 -0.227 0.4455 0.10783 3.56 1.6658 -3.1462 0.85542 0.45292 0.039602 -0.042304 1210.4 0 0
|
| 24 |
+
8 0.48796 -0.10907 0.48429 -0.12434 0.00211 0.065793 -0.063975 0.015359 0.00019418 0.0008088 -0.0010018 0.00025395 19.976 0 0
|
| 25 |
+
136 -0.227 0.4455 -0.21289 0.45241 0.09841 3.3131 1.4576 -2.9752 0.80724 0.39546 0.035574 -0.040521 1147.4 0 0
|
| 26 |
+
9 0.48429 -0.12434 0.48015 -0.1395 0.00219 0.062067 -0.059867 0.016378 0.00044562 0.0016289 -0.00093335 0.00028284 16.86 0 0
|
| 27 |
+
137 -0.21289 0.45241 -0.19857 0.45888 0.09146 3.0339 1.2485 -2.7651 0.80013 0.36127 0.032179 -0.037758 1044.2 0 0
|
| 28 |
+
10 0.48015 -0.1395 0.47553 -0.15451 0.00229 0.067974 -0.064969 0.019987 0.002196 0.0071382 -0.00098599 0.00042606 17.899 0 0
|
| 29 |
+
138 -0.19857 0.45888 -0.18406 0.46489 0.08707 2.8997 1.1097 -2.679 0.81997 0.33964 0.030309 -0.036745 1008.6 0 0
|
| 30 |
+
11 0.47553 -0.15451 0.47044 -0.16937 0.00198 0.056547 -0.053498 0.018316 0.003274 0.0095626 -0.00078889 0.00043791 17.39 0 0
|
| 31 |
+
139 -0.18406 0.46489 -0.16937 0.47044 0.07966 2.6475 0.93581 -2.4766 0.7662 0.28952 0.026734 -0.034352 941.98 0 0
|
| 32 |
+
12 0.47044 -0.16937 0.46489 -0.18406 0.00185 0.053763 -0.050292 0.019004 0.0044792 0.011854 -0.0007196 0.00048469 19.196 0 0
|
| 33 |
+
140 -0.16937 0.47044 -0.15451 0.47553 0.07484 2.4807 0.80355 -2.347 0.74169 0.25394 0.024272 -0.032876 873.46 0 0
|
| 34 |
+
13 0.46489 -0.18406 0.45888 -0.19857 0.00189 0.054755 -0.050587 0.020954 0.0049324 0.011908 -0.00071712 0.00051617 13.749 0 0
|
| 35 |
+
141 -0.15451 0.47553 -0.1395 0.48015 0.07148 2.3787 0.69942 -2.2735 0.74865 0.23031 0.022745 -0.032093 852.5 0 0
|
| 36 |
+
14 0.45888 -0.19857 0.45241 -0.21289 0.00181 0.05028 -0.045826 0.020691 0.0052434 0.011613 -0.00063744 0.00050741 14.998 0 0
|
| 37 |
+
142 -0.1395 0.48015 -0.12434 0.48429 0.06658 2.2091 0.58293 -2.1308 0.74735 0.20445 0.020895 -0.030258 803.68 0 0
|
| 38 |
+
15 0.45241 -0.21289 0.4455 -0.227 0.00181 0.050105 -0.044996 0.022043 0.0071444 0.014584 -0.00059454 0.00057531 18.932 0 0
|
| 39 |
+
143 -0.12434 0.48429 -0.10907 0.48796 0.06108 2.0291 0.4737 -1.9731 0.6829 0.16395 0.018167 -0.028417 736.65 0 0
|
| 40 |
+
16 0.4455 -0.227 0.43815 -0.24088 0.00207 0.056967 -0.050346 0.026657 0.0089475 0.016899 -0.00065025 0.00068414 18.818 0 0
|
| 41 |
+
144 -0.10907 0.48796 -0.093691 0.49114 0.05724 1.9009 0.38548 -1.8614 0.67774 0.14035 0.0167 -0.027033 714.99 0 0
|
| 42 |
+
17 0.43815 -0.24088 0.43037 -0.25452 0.00201 0.056939 -0.049459 0.028211 0.0094482 0.016564 -0.00062847 0.0007033 18.636 0 0
|
| 43 |
+
145 -0.093691 0.49114 -0.078217 0.49384 0.05425 1.7653 0.3035 -1.739 0.68413 0.1194 0.015513 -0.025439 644.18 0 0
|
| 44 |
+
18 0.43037 -0.25452 0.42216 -0.26791 0.00206 0.056146 -0.047872 0.029336 0.0095568 0.015595 -0.00060184 0.00070575 19.024 0 0
|
| 45 |
+
146 -0.078217 0.49384 -0.062667 0.49606 0.05021 1.653 0.23291 -1.6365 0.64499 0.091796 0.013789 -0.024263 603.23 0 0
|
| 46 |
+
19 0.42216 -0.26791 0.41354 -0.28104 0.00214 0.058119 -0.048576 0.031909 0.01967 0.029944 -0.00045405 0.00097154 26.7 0 0
|
| 47 |
+
147 -0.062667 0.49606 -0.047054 0.49778 0.0472 1.5515 0.17026 -1.5422 0.62937 0.069483 0.01256 -0.023132 593.14 0 0
|
| 48 |
+
20 0.41354 -0.28104 0.40451 -0.29389 0.00226 0.060364 -0.049387 0.03471 0.021093 0.030012 -0.00044442 0.0010166 22.073 0 0
|
| 49 |
+
148 -0.047054 0.49778 -0.031395 0.49901 0.04288 1.3836 0.10855 -1.3793 0.58824 0.046296 0.010945 -0.020938 517.83 0 0
|
| 50 |
+
21 0.40451 -0.29389 0.39508 -0.30645 0.00257 0.070963 -0.056748 0.042607 0.023749 0.031631 -0.00051832 0.0011661 26.591 0 0
|
| 51 |
+
149 -0.031395 0.49901 -0.015705 0.49975 0.0418 1.3419 0.063214 -1.3404 0.58419 0.02755 0.010169 -0.020622 509.54 0 0
|
| 52 |
+
22 0.39508 -0.30645 0.38526 -0.31871 0.00253 0.070801 -0.055255 0.044268 0.027724 0.034606 -0.00043243 0.0012389 27.512 0 0
|
| 53 |
+
150 -0.015705 0.49975 0 0.5 0.03643 1.1857 0.018624 -1.1855 0.53546 0.0084117 0.0087032 -0.018489 464.93 0 0
|
| 54 |
+
23 0.38526 -0.31871 0.37506 -0.33066 0.00228 0.062146 -0.047256 0.040361 0.026117 0.030579 -0.00033204 0.0011143 22.982 0 0
|
| 55 |
+
151 0 0.5 0.015705 0.49975 0.0331 1.0702 -0.016811 -1.0701 0.51296 -0.0080581 0.0077931 -0.016935 423.91 0 0
|
| 56 |
+
24 0.37506 -0.33066 0.36448 -0.34227 0.00327 0.090265 -0.066763 0.06075 0.046098 0.050661 -0.0003246 0.00175 38.151 0 0
|
| 57 |
+
152 0.015705 0.49975 0.031395 0.49901 0.03112 1.0089 -0.047525 -1.0078 0.47785 -0.022535 0.0067593 -0.016183 395.08 0 0
|
| 58 |
+
25 0.36448 -0.34227 0.35355 -0.35355 0.00314 0.087598 -0.062906 0.06096 0.043489 0.044877 -0.00030499 0.0016624 40.965 0 0
|
| 59 |
+
153 0.031395 0.49901 0.047054 0.49778 0.02831 0.92623 -0.072671 -0.92337 0.4533 -0.035675 0.0059786 -0.015064 366.98 0 0
|
| 60 |
+
26 0.35355 -0.35355 0.34227 -0.36448 0.00333 0.09209 -0.064087 0.066132 0.044071 0.042708 -0.00031439 0.0017096 40.314 0 0
|
| 61 |
+
154 0.047054 0.49778 0.062667 0.49606 0.02586 0.82868 -0.090934 -0.82367 0.43543 -0.048072 0.0054111 -0.013693 345.89 0 0
|
| 62 |
+
27 0.34227 -0.36448 0.33066 -0.37506 0.00361 0.10319 -0.069448 0.076323 0.059042 0.053724 -0.00016345 0.0020427 44.501 0 0
|
| 63 |
+
155 0.062667 0.49606 0.078217 0.49384 0.02432 0.77882 -0.10974 -0.77105 0.39664 -0.05645 0.0045064 -0.012998 316.85 0 0
|
| 64 |
+
28 0.33066 -0.37506 0.31871 -0.38526 0.00449 0.12658 -0.082204 0.096248 0.074981 0.06404 -0.00011346 0.0025177 55.74 0 0
|
| 65 |
+
156 0.078217 0.49384 0.093691 0.49114 0.02198 0.70188 -0.12067 -0.69143 0.38914 -0.067916 0.0042169 -0.011927 301.35 0 0
|
| 66 |
+
29 0.31871 -0.38526 0.30645 -0.39508 0.0048 0.13294 -0.08312 0.10375 0.077855 0.062373 -8.2703e-05 0.0026094 57.425 0 0
|
| 67 |
+
157 0.093691 0.49114 0.10907 0.48796 0.01991 0.6184 -0.1254 -0.60555 0.341 -0.070618 0.0033865 -0.010621 258.8 0 0
|
| 68 |
+
30 0.30645 -0.39508 0.29389 -0.40451 0.00487 0.132 -0.079253 0.10556 0.083624 0.062787 6.8648e-05 0.0026442 62.169 0 0
|
| 69 |
+
158 0.10907 0.48796 0.12434 0.48429 0.01821 0.5793 -0.13524 -0.5633 0.32408 -0.077804 0.0029662 -0.01007 244.64 0 0
|
| 70 |
+
31 0.29389 -0.40451 0.28104 -0.41354 0.00551 0.16032 -0.092186 0.13117 0.11009 0.077375 0.00028128 0.0032756 86.343 0 0
|
| 71 |
+
159 0.12434 0.48429 0.1395 0.48015 0.01711 0.53458 -0.14106 -0.51564 0.30283 -0.082845 0.0025409 -0.0094005 226.89 0 0
|
| 72 |
+
32 0.28104 -0.41354 0.26791 -0.42216 0.00626 0.18175 -0.099784 0.15191 0.12118 0.079598 0.00033602 0.0036363 88.489 0 0
|
| 73 |
+
160 0.1395 0.48015 0.15451 0.47553 0.01513 0.46742 -0.13744 -0.44676 0.27934 -0.085935 0.0022288 -0.0083672 196.86 0 0
|
| 74 |
+
33 0.26791 -0.42216 0.25452 -0.43037 0.00694 0.20406 -0.10662 0.17399 0.12527 0.076764 0.00029291 0.0039386 89.501 0 0
|
| 75 |
+
161 0.15451 0.47553 0.16937 0.47044 0.01357 0.41234 -0.13356 -0.3901 0.23777 -0.081406 0.0016368 -0.0074062 179.19 0 0
|
| 76 |
+
34 0.25452 -0.43037 0.24088 -0.43815 0.00738 0.21338 -0.10572 0.18535 0.13771 0.07855 0.0005025 0.0041452 98.575 0 0
|
| 77 |
+
162 0.16937 0.47044 0.18406 0.46489 0.01265 0.38011 -0.13436 -0.35557 0.23556 -0.08901 0.0015896 -0.0069832 169.1 0 0
|
| 78 |
+
35 0.24088 -0.43815 0.227 -0.4455 0.00899 0.26586 -0.1244 0.23496 0.16793 0.088915 0.0006837 0.0050872 115.82 0 0
|
| 79 |
+
163 0.18406 0.46489 0.19857 0.45888 0.0117 0.35405 -0.13549 -0.3271 0.22374 -0.092677 0.0013863 -0.0065935 151.33 0 0
|
| 80 |
+
36 0.227 -0.4455 0.21289 -0.45241 0.00982 0.28931 -0.12728 0.25981 0.18257 0.08944 0.00086848 0.0054857 129.17 0 0
|
| 81 |
+
164 0.19857 0.45888 0.21289 0.45241 0.01045 0.3095 -0.12736 -0.28207 0.20202 -0.091215 0.0011727 -0.0058634 146.23 0 0
|
| 82 |
+
37 0.21289 -0.45241 0.19857 -0.45888 0.01069 0.32724 -0.13466 0.29825 0.18895 0.085313 0.00085265 0.0060247 138.59 0 0
|
| 83 |
+
165 0.21289 0.45241 0.227 0.4455 0.00909 0.27003 -0.1188 -0.24249 0.16759 -0.082101 0.00076641 -0.0050985 121.32 0 0
|
| 84 |
+
38 0.19857 -0.45888 0.18406 -0.46489 0.01031 0.30989 -0.11859 0.2863 0.19393 0.080329 0.0011834 0.0057587 134.35 0 0
|
| 85 |
+
166 0.227 0.4455 0.24088 0.43815 0.00829 0.24686 -0.11551 -0.21817 0.16628 -0.088043 0.00079748 -0.0048097 123.49 0 0
|
| 86 |
+
39 0.18406 -0.46489 0.16937 -0.47044 0.01274 0.3894 -0.13764 0.36426 0.24191 0.091411 0.0016378 0.0071573 171.69 0 0
|
| 87 |
+
167 0.24088 0.43815 0.25452 0.43037 0.00799 0.23002 -0.11396 -0.1998 0.14909 -0.085041 0.00055179 -0.0044741 102.86 0 0
|
| 88 |
+
40 0.16937 -0.47044 0.15451 -0.47553 0.01375 0.41885 -0.13567 0.39627 0.25062 0.085806 0.0018055 0.0075722 179.44 0 0
|
| 89 |
+
168 0.25452 0.43037 0.26791 0.42216 0.00741 0.21237 -0.11096 -0.18108 0.13754 -0.084287 0.00041748 -0.0041682 99.446 0 0
|
| 90 |
+
41 0.15451 -0.47553 0.1395 -0.48015 0.0155 0.48096 -0.14142 0.4597 0.28 0.08614 0.0021767 0.0085737 208.35 0 0
|
| 91 |
+
169 0.26791 0.42216 0.28104 0.41354 0.00576 0.16686 -0.091612 -0.13947 0.1041 -0.068384 0.00019622 -0.0032648 79.483 0 0
|
| 92 |
+
42 0.1395 -0.48015 0.12434 -0.48429 0.01654 0.50895 -0.1343 0.49092 0.29678 0.081191 0.0025522 0.0089863 211.83 0 0
|
| 93 |
+
170 0.28104 0.41354 0.29389 0.40451 0.00558 0.16311 -0.093788 -0.13345 0.10778 -0.07575 0.00021979 -0.0032859 81.102 0 0
|
| 94 |
+
43 0.12434 -0.48429 0.10907 -0.48796 0.0175 0.55401 -0.12933 0.5387 0.31452 0.075509 0.0029088 0.0096475 239.84 0 0
|
| 95 |
+
171 0.29389 0.40451 0.30645 0.39508 0.00496 0.13889 -0.083391 -0.11107 0.089946 -0.067533 0.00010295 -0.0028053 68.173 0 0
|
| 96 |
+
44 0.10907 -0.48796 0.093691 -0.49114 0.01925 0.60439 -0.12256 0.59184 0.33117 0.068581 0.0032766 0.010373 247.08 0 0
|
| 97 |
+
172 0.30645 0.39508 0.31871 0.38526 0.00448 0.12478 -0.078015 -0.097379 0.076487 -0.061278 -2.3999e-05 -0.0024921 57.023 0 0
|
| 98 |
+
45 0.093691 -0.49114 0.078217 -0.49384 0.02184 0.6891 -0.11848 0.67883 0.3783 0.066024 0.0040811 0.0117 286.71 0 0
|
| 99 |
+
173 0.31871 0.38526 0.33066 0.37506 0.00386 0.10789 -0.07007 -0.082041 0.064287 -0.054906 -9.0833e-05 -0.0021511 50.042 0 0
|
| 100 |
+
46 0.078217 -0.49384 0.062667 -0.49606 0.02389 0.75914 -0.10696 0.75157 0.40163 0.05716 0.0046284 0.012703 309.97 0 0
|
| 101 |
+
174 0.33066 0.37506 0.34227 0.36448 0.00381 0.10637 -0.07159 -0.078676 0.063136 -0.05745 -0.00013278 -0.0021382 47.593 0 0
|
| 102 |
+
47 0.062667 -0.49606 0.047054 -0.49778 0.02659 0.85805 -0.094157 0.85286 0.42738 0.047183 0.005234 0.014137 344.91 0 0
|
| 103 |
+
175 0.34227 0.36448 0.35355 0.35355 0.00324 0.090497 -0.062978 -0.064988 0.051813 -0.05021 -0.00017538 -0.0018095 42.008 0 0
|
| 104 |
+
48 0.047054 -0.49778 0.031395 -0.49901 0.02904 0.93483 -0.073346 0.93195 0.46466 0.03657 0.0061465 0.015213 370.19 0 0
|
| 105 |
+
176 0.35355 0.35355 0.36448 0.34227 0.00277 0.076269 -0.054771 -0.053077 0.03852 -0.03975 -0.00025525 -0.0014581 32.905 0 0
|
| 106 |
+
49 0.031395 -0.49901 0.015705 -0.49975 0.03216 1.045 -0.049226 1.0438 0.48745 0.022987 0.0068833 0.016757 408.13 0 0
|
| 107 |
+
177 0.36448 0.34227 0.37506 0.33066 0.00304 0.082322 -0.060888 -0.055404 0.041525 -0.045635 -0.00030414 -0.001587 37.427 0 0
|
| 108 |
+
50 0.015705 -0.49975 0 -0.5 0.03378 1.1011 -0.017295 1.1009 0.49771 0.0078186 0.007546 0.017415 430.78 0 0
|
| 109 |
+
178 0.37506 0.33066 0.38526 0.31871 0.00263 0.071324 -0.054235 -0.046321 0.029161 -0.034143 -0.00039384 -0.0012639 28.299 0 0
|
| 110 |
+
51 0 -0.5 -0.015705 -0.49975 0.03734 1.2152 0.019088 1.2151 0.54816 -0.0086112 0.0089099 0.01895 486.11 0 0
|
| 111 |
+
179 0.38526 0.31871 0.39508 0.30645 0.00275 0.077333 -0.060353 -0.048352 0.033081 -0.041292 -0.00042837 -0.0014081 36.825 0 0
|
| 112 |
+
52 -0.015705 -0.49975 -0.031395 -0.49901 0.04011 1.303 0.061381 1.3016 0.57574 -0.027151 0.010007 0.020018 511.4 0 0
|
| 113 |
+
180 0.39508 0.30645 0.40451 0.29389 0.00234 0.064527 -0.051602 -0.038744 0.024716 -0.032919 -0.00042229 -0.0011256 24.548 0 0
|
| 114 |
+
53 -0.031395 -0.49901 -0.047054 -0.49778 0.04186 1.3826 0.10848 1.3783 0.59216 -0.046604 0.011005 0.020918 532.7 0 0
|
| 115 |
+
181 0.40451 0.29389 0.41354 0.28104 0.00216 0.059027 -0.048293 -0.033941 0.02028 -0.028856 -0.00044 -0.00098637 23.564 0 0
|
| 116 |
+
54 -0.047054 -0.49778 -0.062667 -0.49606 0.04673 1.5371 0.16867 1.5278 0.6077 -0.06709 0.012195 0.022943 572.4 0 0
|
| 117 |
+
182 0.41354 0.28104 0.42216 0.26791 0.0023 0.061635 -0.051515 -0.033839 0.01635 -0.024891 -0.00055235 -0.00092249 21.679 0 0
|
| 118 |
+
55 -0.062667 -0.49606 -0.078217 -0.49384 0.04976 1.6534 0.23296 1.6369 0.63357 -0.09017 0.013611 0.024295 628.97 0 0
|
| 119 |
+
183 0.42216 0.26791 0.43037 0.25452 0.00218 0.059249 -0.050518 -0.030958 0.014705 -0.023996 -0.00056253 -0.00086317 22.855 0 0
|
| 120 |
+
56 -0.078217 -0.49384 -0.093691 -0.49114 0.0538 1.7784 0.30576 1.7519 0.67427 -0.11768 0.015394 0.02567 655.89 0 0
|
| 121 |
+
184 0.43037 0.25452 0.43815 0.24088 0.00232 0.063634 -0.055274 -0.031528 0.010029 -0.017582 -0.00071068 -0.00077139 19.429 0 0
|
| 122 |
+
57 -0.093691 -0.49114 -0.10907 -0.48796 0.05705 1.875 0.38023 1.8361 0.68621 -0.14211 0.016751 0.026608 688.47 0 0
|
| 123 |
+
185 0.43815 0.24088 0.4455 0.227 0.00228 0.064179 -0.05672 -0.030031 0.0091758 -0.01733 -0.00074678 -0.00074392 22.87 0 0
|
| 124 |
+
58 -0.10907 -0.48796 -0.12434 -0.48429 0.06274 2.0687 0.48293 2.0115 0.69464 -0.16677 0.018496 0.028977 753.3 0 0
|
| 125 |
+
186 0.4455 0.227 0.45241 0.21289 0.00179 0.054148 -0.048626 -0.023822 0.0041985 -0.0085703 -0.00069784 -0.00050879 19.472 0 0
|
| 126 |
+
59 -0.12434 -0.48429 -0.1395 -0.48015 0.06732 2.241 0.59134 2.1616 0.76129 -0.20826 0.021246 0.030681 803.97 0 0
|
| 127 |
+
187 0.45241 0.21289 0.45888 0.19857 0.00223 0.066192 -0.060327 -0.027239 0.0072164 -0.015983 -0.00083423 -0.00067889 20.428 0 0
|
| 128 |
+
60 -0.1395 -0.48015 -0.15451 -0.47553 0.06968 2.3074 0.67847 2.2054 0.73085 -0.22484 0.022137 0.03111 823.76 0 0
|
| 129 |
+
188 0.45888 0.19857 0.46489 0.18406 0.00215 0.060647 -0.05603 -0.023208 0.0051342 -0.012395 -0.00079944 -0.00055924 19.215 0 0
|
| 130 |
+
61 -0.15451 -0.47553 -0.16937 -0.47044 0.07597 2.4997 0.8097 2.3649 0.75065 -0.257 0.024509 0.03311 873.9 0 0
|
| 131 |
+
189 0.46489 0.18406 0.47044 0.16937 0.0022 0.062446 -0.058415 -0.022073 0.0037066 -0.0098093 -0.00085932 -0.00050079 20.438 0 0
|
| 132 |
+
62 -0.16937 -0.47044 -0.18406 -0.46489 0.08034 2.6817 0.9479 2.5085 0.76258 -0.28816 0.026867 0.034876 924.91 0 0
|
| 133 |
+
190 0.47044 0.16937 0.47553 0.15451 0.00187 0.053174 -0.050307 -0.017224 0.0024579 -0.0071788 -0.00075159 -0.0003833 16.984 0 0
|
| 134 |
+
63 -0.18406 -0.46489 -0.19857 -0.45888 0.08589 2.8817 1.1028 2.6624 0.78976 -0.32713 0.029727 0.03668 1008.7 0 0
|
| 135 |
+
191 0.47553 0.15451 0.48015 0.1395 0.00233 0.070745 -0.067618 -0.020802 0.0017776 -0.0057782 -0.0010342 -0.0004175 20.412 0 0
|
| 136 |
+
64 -0.19857 -0.45888 -0.21289 -0.45241 0.09178 3.0806 1.2677 2.8076 0.79645 -0.35961 0.032422 0.038452 1072 0 0
|
| 137 |
+
192 0.48015 0.1395 0.48429 0.12434 0.00228 0.066189 -0.063843 -0.017466 0.0019736 -0.0072141 -0.00097181 -0.00038765 19.796 0 0
|
| 138 |
+
65 -0.21289 -0.45241 -0.227 -0.4455 0.09783 3.2528 1.431 2.9211 0.8136 -0.39858 0.035257 0.039622 1114.2 0 0
|
| 139 |
+
193 0.48429 0.12434 0.48796 0.10907 0.00207 0.062372 -0.060649 -0.014561 0.00081975 -0.0034145 -0.00093976 -0.00028234 15.878 0 0
|
| 140 |
+
66 -0.227 -0.4455 -0.24088 -0.43815 0.10441 3.4757 1.6264 3.0717 0.79422 -0.42052 0.038021 0.041643 1165.6 0 0
|
| 141 |
+
194 0.48796 0.10907 0.49114 0.093691 0.00232 0.069972 -0.068519 -0.01419 0.00086004 -0.004153 -0.0010627 -0.00028811 16.904 0 0
|
| 142 |
+
67 -0.24088 -0.43815 -0.25452 -0.43037 0.11192 3.7147 1.8405 3.2267 0.8106 -0.46236 0.041642 0.043421 1233.5 0 0
|
| 143 |
+
195 0.49114 0.093691 0.49384 0.078217 0.00222 0.068616 -0.067594 -0.011797 0.0012438 -0.0071267 -0.0010422 -0.00029724 20.629 0 0
|
| 144 |
+
68 -0.25452 -0.43037 -0.26791 -0.42216 0.11705 3.9105 2.0432 3.3343 0.80552 -0.49362 0.044746 0.044619 1300.7 0 0
|
| 145 |
+
196 0.49384 0.078217 0.49606 0.062667 0.00202 0.062161 -0.061541 -0.0087586 0.00078716 -0.0055309 -0.00095428 -0.00022445 15.334 0 0
|
| 146 |
+
69 -0.26791 -0.42216 -0.28104 -0.41354 0.12533 4.184 2.2971 3.497 0.80862 -0.53117 0.048783 0.046586 1393.1 0 0
|
| 147 |
+
197 0.49606 0.062667 0.49778 0.047054 0.00228 0.071276 -0.070846 -0.0078214 -0.00046966 0.0042541 -0.0011202 -5.6033e-05 18.846 0 0
|
| 148 |
+
70 -0.28104 -0.41354 -0.29389 -0.40451 0.13259 4.4204 2.5417 3.6165 0.78633 -0.55264 0.052275 0.048125 1423.2 0 0
|
| 149 |
+
198 0.49778 0.047054 0.49901 0.031395 0.00215 0.067206 -0.066999 -0.005273 0.00027378 -0.0034787 -0.0010481 -0.00013746 18.292 0 0
|
| 150 |
+
71 -0.29389 -0.40451 -0.30645 -0.39508 0.13864 4.6373 2.7843 3.7084 0.79981 -0.60052 0.056297 0.048816 1533.2 0 0
|
| 151 |
+
199 0.49901 0.031395 0.49975 0.015705 0.00218 0.066852 -0.066778 -0.0031492 0.00010318 -0.0021879 -0.0010473 -8.3831e-05 21.188 0 0
|
| 152 |
+
72 -0.30645 -0.39508 -0.31871 -0.38526 0.1462 4.8717 3.046 3.802 0.81508 -0.653 0.060647 0.049462 1555 0 0
|
| 153 |
+
200 0.49975 0.015705 0.5 0 0.00245 0.07341 -0.0734 -0.0011531 1.9457e-05 -0.0012385 -0.0011526 -3.7566e-05 17.763 0 0
|
| 154 |
+
73 -0.31871 -0.38526 -0.33066 -0.37506 0.15379 5.1355 3.3352 3.9051 0.74998 -0.64054 0.064168 0.051277 1669.2 0 0
|
| 155 |
+
74 -0.33066 -0.37506 -0.34227 -0.36448 0.15922 5.3451 3.5973 3.9534 0.75284 -0.68503 0.068329 0.051337 1757.1 0 0
|
| 156 |
+
75 -0.34227 -0.36448 -0.35355 -0.35355 0.16838 5.6061 3.9014 4.0259 0.75206 -0.72879 0.073093 0.051789 1757.7 0 0
|
| 157 |
+
76 -0.35355 -0.35355 -0.36448 -0.34227 0.17168 5.7351 4.1185 3.9911 0.70303 -0.72547 0.075734 0.051295 1837.2 0 0
|
| 158 |
+
77 -0.36448 -0.34227 -0.37506 -0.33066 0.18427 6.1864 4.5756 4.1635 0.67805 -0.74517 0.082521 0.053693 1985.6 0 0
|
| 159 |
+
78 -0.37506 -0.33066 -0.38526 -0.31871 0.19036 6.3765 4.8487 4.1412 0.64793 -0.75862 0.086338 0.053131 2043.8 0 0
|
| 160 |
+
79 -0.38526 -0.31871 -0.39508 -0.30645 0.19859 6.6239 5.1695 4.1415 0.62227 -0.77672 0.090973 0.052852 2110.6 0 0
|
| 161 |
+
80 -0.39508 -0.30645 -0.40451 -0.29389 0.20341 6.7405 5.3903 4.0471 0.5758 -0.76689 0.093711 0.051524 2095.1 0 0
|
| 162 |
+
81 -0.40451 -0.29389 -0.41354 -0.28104 0.21304 7.1198 5.8251 4.0939 0.57183 -0.81363 0.10048 0.051524 2219.1 0 0
|
| 163 |
+
82 -0.41354 -0.28104 -0.42216 -0.26791 0.21724 7.2884 6.0917 4.0015 0.51315 -0.78119 0.10374 0.050582 2297.5 0 0
|
| 164 |
+
83 -0.42216 -0.26791 -0.43037 -0.25452 0.22498 7.5268 6.4176 3.9327 0.46524 -0.7592 0.10811 0.049848 2354.5 0 0
|
| 165 |
+
84 -0.43037 -0.25452 -0.43815 -0.24088 0.23369 7.7787 6.7568 3.854 0.41794 -0.73272 0.1127 0.049027 2383.8 0 0
|
| 166 |
+
85 -0.43815 -0.24088 -0.4455 -0.227 0.24121 8.0095 7.0785 3.7479 0.40008 -0.75561 0.11747 0.047 2433.4 0 0
|
| 167 |
+
86 -0.4455 -0.227 -0.45241 -0.21289 0.24635 8.2364 7.3965 3.6235 0.33033 -0.67428 0.12137 0.046324 2525.2 0 0
|
| 168 |
+
87 -0.45241 -0.21289 -0.45888 -0.19857 0.25514 8.4642 7.7143 3.4831 0.31766 -0.70355 0.12616 0.04366 2578.2 0 0
|
| 169 |
+
88 -0.45888 -0.19857 -0.46489 -0.18406 0.25964 8.669 8.0091 3.3175 0.28532 -0.68881 0.13028 0.041289 2671.1 0 0
|
| 170 |
+
89 -0.46489 -0.18406 -0.47044 -0.16937 0.26569 8.8817 8.3083 3.1395 0.2381 -0.6301 0.13424 0.039415 2726.3 0 0
|
| 171 |
+
90 -0.47044 -0.16937 -0.47553 -0.15451 0.27116 9.0736 8.5844 2.9391 0.21705 -0.63395 0.13825 0.036208 2787.6 0 0
|
| 172 |
+
91 -0.47553 -0.15451 -0.48015 -0.1395 0.27558 9.2124 8.8052 2.7088 0.17039 -0.55385 0.14098 0.033849 2809.5 0 0
|
| 173 |
+
92 -0.48015 -0.1395 -0.48429 -0.12434 0.28116 9.3712 9.0391 2.4728 0.13498 -0.49342 0.1441 0.031091 2909.3 0 0
|
| 174 |
+
93 -0.48429 -0.12434 -0.48796 -0.10907 0.28444 9.4831 9.2211 2.2138 0.1057 -0.44028 0.1465 0.027857 2876.7 0 0
|
| 175 |
+
94 -0.48796 -0.10907 -0.49114 -0.093691 0.29111 9.7024 9.5008 1.9675 0.085915 -0.41487 0.15058 0.024388 2939 0 0
|
| 176 |
+
95 -0.49114 -0.093691 -0.49384 -0.078217 0.28798 9.5746 9.432 1.6461 0.053507 -0.30658 0.14899 0.021041 2889.7 0 0
|
| 177 |
+
96 -0.49384 -0.078217 -0.49606 -0.062667 0.28992 9.6784 9.5818 1.3637 0.045542 -0.32 0.15122 0.016394 2948 0 0
|
| 178 |
+
97 -0.49606 -0.062667 -0.49778 -0.047054 0.29539 9.851 9.7915 1.081 0.022599 -0.2047 0.15415 0.013764 2986.6 0 0
|
| 179 |
+
98 -0.49778 -0.047054 -0.49901 -0.031395 0.29666 9.8005 9.7703 0.76894 0.010537 -0.13389 0.15363 0.0099749 2943.9 0 0
|
| 180 |
+
99 -0.49901 -0.031395 -0.49975 -0.015705 0.29674 9.8571 9.8462 0.46433 0.0037492 -0.079502 0.15472 0.0060447 2962.9 0 0
|
| 181 |
+
100 -0.49975 -0.015705 -0.5 0 0.29715 9.8086 9.8074 0.15407 7.1825e-05 -0.0045722 0.15405 0.0023482 2860.6 0 0
|
| 182 |
+
101 -0.5 0 -0.49975 0.015705 0.29975 9.9433 9.9421 -0.15618 0.00069929 0.044515 0.15617 -0.001754 2947.3 0 0
|
| 183 |
+
102 -0.49975 0.015705 -0.49901 0.031395 0.3007 9.9129 9.9019 -0.46696 0.0045782 0.097081 0.1556 -0.0058099 2893.7 0 0
|
| 184 |
+
103 -0.49901 0.031395 -0.49778 0.047054 0.29652 9.905 9.8745 -0.77714 0.013945 0.17719 0.15532 -0.0094235 3017.8 0 0
|
| 185 |
+
104 -0.49778 0.047054 -0.49606 0.062667 0.29759 9.8956 9.8358 -1.0859 0.021656 0.19615 0.15483 -0.013975 2956.9 0 0
|
| 186 |
+
105 -0.49606 0.062667 -0.49384 0.078217 0.29151 9.6986 9.6018 -1.3665 0.050341 0.35372 0.15161 -0.015909 2878.1 0 0
|
| 187 |
+
106 -0.49384 0.078217 -0.49114 0.093691 0.29473 9.7018 9.5573 -1.668 0.055376 0.31729 0.15099 -0.021216 2867.1 0 0
|
| 188 |
+
107 -0.49114 0.093691 -0.48796 0.10907 0.28891 9.5692 9.3703 -1.9405 0.074242 0.3585 0.14835 -0.024849 2850.7 0 0
|
| 189 |
+
108 -0.48796 0.10907 -0.48429 0.12434 0.28513 9.4361 9.1753 -2.2028 0.10282 0.4283 0.14573 -0.027873 2815.6 0 0
|
| 190 |
+
109 -0.48429 0.12434 -0.48015 0.1395 0.27889 9.3198 8.9895 -2.4592 0.14369 0.52524 0.14346 -0.030378 2841.6 0 0
|
| 191 |
+
110 -0.48015 0.1395 -0.47553 0.15451 0.28016 9.2578 8.8485 -2.7222 0.18071 0.58741 0.14182 -0.033531 2712.3 0 0
|
| 192 |
+
111 -0.47553 0.15451 -0.47044 0.16937 0.27016 8.9598 8.4768 -2.9022 0.20048 0.58557 0.1363 -0.036389 2688.2 0 0
|
| 193 |
+
112 -0.47044 0.16937 -0.46489 0.18406 0.26644 8.8326 8.2624 -3.1221 0.22243 0.58865 0.13327 -0.039794 2673.2 0 0
|
| 194 |
+
113 -0.46489 0.18406 -0.45888 0.19857 0.25812 8.6741 8.0139 -3.3194 0.27646 0.66743 0.13022 -0.041656 2684.5 0 0
|
| 195 |
+
114 -0.45888 0.19857 -0.45241 0.21289 0.25147 8.4241 7.6778 -3.4666 0.29862 0.66137 0.12529 -0.044063 2590.3 0 0
|
| 196 |
+
115 -0.45241 0.21289 -0.4455 0.227 0.24416 8.2095 7.3723 -3.6117 0.35522 0.7251 0.12138 -0.04534 2562 0 0
|
| 197 |
+
116 -0.4455 0.227 -0.43815 0.24088 0.24057 8.056 7.1196 -3.7696 0.38225 0.72195 0.11783 -0.047871 2490 0 0
|
| 198 |
+
117 -0.43815 0.24088 -0.43037 0.25452 0.24045 8.0091 6.957 -3.9682 0.41613 0.72956 0.11581 -0.05087 2497 0 0
|
| 199 |
+
118 -0.43037 0.25452 -0.42216 0.26791 0.22558 7.5295 6.42 -3.9342 0.47058 0.76792 0.10823 -0.049733 2358.6 0 0
|
| 200 |
+
119 -0.42216 0.26791 -0.41354 0.28104 0.22092 7.3877 6.1747 -4.056 0.49955 0.76049 0.10483 -0.051764 2303.9 0 0
|
| 201 |
+
120 -0.41354 0.28104 -0.40451 0.29389 0.21206 7.1245 5.8289 -4.0966 0.54891 0.78101 0.10018 -0.052079 2241.6 0 0
|
| 202 |
+
121 -0.40451 0.29389 -0.39508 0.30645 0.20856 6.9835 5.5846 -4.193 0.58583 0.78025 0.096921 -0.053606 2200.5 0 0
|
| 203 |
+
122 -0.39508 0.30645 -0.38526 0.31871 0.19771 6.5844 5.1387 -4.1168 0.6454 0.80559 0.090852 -0.052011 2059.2 0 0
|
| 204 |
+
123 -0.38526 0.31871 -0.37506 0.33066 0.19048 6.3933 4.8615 -4.1521 0.66681 0.78073 0.086835 -0.052955 2045.5 0 0
|
| 205 |
+
124 -0.37506 0.33066 -0.36448 0.34227 0.18259 6.0834 4.4994 -4.0942 0.69739 0.76642 0.081628 -0.05227 1916 0 0
|
| 206 |
+
125 -0.36448 0.34227 -0.35355 0.35355 0.17627 5.8617 4.2094 -4.0792 0.71402 0.73681 0.077334 -0.0525 1874.1 0 0
|
| 207 |
+
126 -0.35355 0.35355 -0.34227 0.36448 0.16598 5.5229 3.8435 -3.9662 0.71379 0.69171 0.071582 -0.051433 1750.9 0 0
|
| 208 |
+
127 -0.34227 0.36448 -0.33066 0.37506 0.15742 5.2645 3.5431 -3.8938 0.75551 0.68746 0.067519 -0.050363 1711.2 0 0
|
| 209 |
+
128 -0.33066 0.37506 -0.31871 0.38526 0.1526 5.1154 3.3222 -3.8898 0.77061 0.65816 0.064287 -0.05076 1666.6 0 0
|
CylinderKnMa/Kn0p34/simulation0743_Kn0p34Ma6p2/runmpirun128.sh
ADDED
|
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#!/bin/bash
|
| 2 |
+
#SBATCH -J Cylinder——Kn
|
| 3 |
+
#SBATCH -p wzhcnormal
|
| 4 |
+
#SBATCH -N 2
|
| 5 |
+
#SBATCH --ntasks-per-node=64
|
| 6 |
+
|
| 7 |
+
|
| 8 |
+
module purge
|
| 9 |
+
module load compiler/devtoolset/7.3.1
|
| 10 |
+
module load mpi/hpcx/2.11.0/gcc-7.3.1
|
| 11 |
+
export UCX_WARN_UNUSED_ENV_VARS=n
|
| 12 |
+
/public/software/mpi/hpcx/v2.11.0/gcc-7.3.1/bin/mpirun -n 128 ../../../sep2024-sparta/src/spa_mpi <config.txt
|
| 13 |
+
|
| 14 |
+
/work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/grid2paraview.py mir.txt Grid -r ./output/grid.*.dat
|
| 15 |
+
|
| 16 |
+
/work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/grid2paraview.py mir.txt Lambda -r ./output/lambdakn.*.dat
|
| 17 |
+
|
| 18 |
+
/work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/surf2paraview.py ./surf/geom.surf Surf -r ./output/surf.*.dat
|
CylinderKnMa/Kn0p34/simulation0743_Kn0p34Ma6p2/runmpirun64.sh
ADDED
|
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#!/bin/bash
|
| 2 |
+
#SBATCH -J Cylinder——Kn
|
| 3 |
+
#SBATCH -p wzhcnormal
|
| 4 |
+
#SBATCH -N 1
|
| 5 |
+
#SBATCH --ntasks-per-node=64
|
| 6 |
+
|
| 7 |
+
|
| 8 |
+
module purge
|
| 9 |
+
module load compiler/devtoolset/7.3.1
|
| 10 |
+
module load mpi/hpcx/2.11.0/gcc-7.3.1
|
| 11 |
+
export UCX_WARN_UNUSED_ENV_VARS=n
|
| 12 |
+
/public/software/mpi/hpcx/v2.11.0/gcc-7.3.1/bin/mpirun -n 64 ../../../sep2024-sparta/src/spa_mpi <config.txt
|
| 13 |
+
|
| 14 |
+
/work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/grid2paraview.py mir.txt Grid -r ./output/grid.*.dat
|
| 15 |
+
|
| 16 |
+
/work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/grid2paraview.py mir.txt Lambda -r ./output/lambdakn.*.dat
|
| 17 |
+
|
| 18 |
+
/work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/surf2paraview.py ./surf/geom.surf Surf -r ./output/surf.*.dat
|
CylinderKnMa/Kn0p34/simulation0743_Kn0p34Ma6p2/slurm-28429791.out
ADDED
|
@@ -0,0 +1,205 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
SPARTA (4 Sep 2024)
|
| 2 |
+
Running on 128 MPI task(s)
|
| 3 |
+
Running on 128 MPI task(s)
|
| 4 |
+
Created orthogonal box = (-5 -5 -0.5) to (6 5 0.5)
|
| 5 |
+
Created 66372 child grid cells
|
| 6 |
+
CPU time = 0.0986881 secs
|
| 7 |
+
create/ghost percent = 1.21561 98.7844
|
| 8 |
+
Balance grid migrated 66244 cells
|
| 9 |
+
CPU time = 0.0956243 secs
|
| 10 |
+
reassign/sort/migrate/ghost percent = 57.1812 0.0961461 8.69989 34.0228
|
| 11 |
+
Reading surface file ...
|
| 12 |
+
200 lines
|
| 13 |
+
-0.5 0.5 xlo xhi
|
| 14 |
+
-0.5 0.5 ylo yhi
|
| 15 |
+
0 0 zlo zhi
|
| 16 |
+
0.0157073 min line length
|
| 17 |
+
374 0 = cells overlapping surfs, overlap cells with unmarked corner pts
|
| 18 |
+
59296 6702 374 = cells outside/inside/overlapping surfs
|
| 19 |
+
374 = surf cells with 1,2,etc splits
|
| 20 |
+
109.214731023047 109.214731023047 = cell-wise and global flow volume
|
| 21 |
+
CPU time = 0.103162 secs
|
| 22 |
+
read/check/sort/surf2grid/ghost/inout/particle percent = 25.0863 21.9343 2.46711 22.4566 28.0556 6.80647 0.130415
|
| 23 |
+
surf2grid time = 0.0231667 secs
|
| 24 |
+
map/comm1/comm2/comm3/comm4/split percent = 13.3721 24.464 4.86289 2.7191 11.6523 7.26235
|
| 25 |
+
Balance grid migrated 1906 cells
|
| 26 |
+
CPU time = 0.0407145 secs
|
| 27 |
+
reassign/sort/migrate/ghost percent = 7.56364 0.0734872 23.0454 69.3175
|
| 28 |
+
Creating particles ...
|
| 29 |
+
WARNING: Created unexpected # of particles: 453485 versus 453486 (../create_particles.cpp:346)
|
| 30 |
+
Created 453485 particles
|
| 31 |
+
CPU time = 0.013117 secs
|
| 32 |
+
Memory usage per proc in Mbytes:
|
| 33 |
+
particles (ave,min,max) = 1.6084 0 1.6875
|
| 34 |
+
grid (ave,min,max) = 3.23499 1.51379 5.26379
|
| 35 |
+
surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
|
| 36 |
+
total (ave,min,max) = 4.86398 3.22189 6.97189
|
| 37 |
+
Step CPU Np Natt Ncoll Nscoll Npave Nscollave
|
| 38 |
+
0 0 453485 0 0 0 0 0
|
| 39 |
+
10000 12.254937 504944 6392 5631 19 478038.03 17.58
|
| 40 |
+
20000 26.603649 507206 6334 5610 23 492566.92 17.83055
|
| 41 |
+
30000 42.195625 508411 6374 5585 16 497590.03 17.8961
|
| 42 |
+
40000 57.62663 507836 6483 5682 19 500198.67 17.948175
|
| 43 |
+
50000 72.126445 507542 6415 5661 10 501768.87 17.95228
|
| 44 |
+
60000 86.577133 506875 6501 5705 20 502738.72 17.966617
|
| 45 |
+
70000 102.00909 507821 6376 5693 19 503456.57 17.968229
|
| 46 |
+
80000 118.23276 507934 6496 5771 18 503976.4 17.97415
|
| 47 |
+
90000 132.57633 507909 6370 5632 22 504390.6 17.976356
|
| 48 |
+
100000 146.99044 507628 6506 5720 20 504766.83 17.97515
|
| 49 |
+
110000 161.94467 507487 6366 5734 17 504985.76 17.970245
|
| 50 |
+
120000 177.53015 507328 6541 5730 14 505211.77 17.973617
|
| 51 |
+
130000 192.04616 508256 6393 5643 17 505412.59 17.978885
|
| 52 |
+
140000 206.55433 506349 6412 5690 21 505590.24 17.977479
|
| 53 |
+
150000 221.50217 507787 6309 5579 21 505725.55 17.980053
|
| 54 |
+
160000 236.71444 506763 6392 5638 15 505865.16 17.980481
|
| 55 |
+
170000 251.22926 507680 6329 5583 15 505953.98 17.976088
|
| 56 |
+
180000 265.67806 508015 6453 5680 21 506045.25 17.979467
|
| 57 |
+
190000 280.37783 507650 6465 5740 14 506126.32 17.984142
|
| 58 |
+
200000 296.23949 507096 6296 5578 16 506191.11 17.98493
|
| 59 |
+
Loop time of 296.24 on 128 procs for 200000 steps with 507096 particles
|
| 60 |
+
|
| 61 |
+
MPI task timing breakdown:
|
| 62 |
+
Section | min time | avg time | max time |%varavg| %total
|
| 63 |
+
---------------------------------------------------------------
|
| 64 |
+
Move | 0.022185 | 12.381 | 80.236 | 458.9 | 4.18
|
| 65 |
+
Coll | 0.34136 | 9.9652 | 83.477 | 432.4 | 3.36
|
| 66 |
+
Sort | 0.11395 | 2.1111 | 14.179 | 191.6 | 0.71
|
| 67 |
+
Comm | 73.722 | 117.13 | 134.28 | 126.1 | 39.54
|
| 68 |
+
Modify | 0.017916 | 0.11516 | 2.2316 | 97.5 | 0.04
|
| 69 |
+
Output | 0.0052206 | 0.010597 | 0.012683 | 1.0 | 0.00
|
| 70 |
+
Other | | 154.5 | | | 52.16
|
| 71 |
+
|
| 72 |
+
Particle moves = 101238222262 (101B)
|
| 73 |
+
Cells touched = 105716265869 (106B)
|
| 74 |
+
Particle comms = 204124289 (204M)
|
| 75 |
+
Boundary collides = 0 (0K)
|
| 76 |
+
Boundary exits = 19526947 (19.5M)
|
| 77 |
+
SurfColl checks = 221724542 (222M)
|
| 78 |
+
SurfColl occurs = 3596986 (3.6M)
|
| 79 |
+
Surf reactions = 0 (0K)
|
| 80 |
+
Collide attempts = 1510945698 (1.51B)
|
| 81 |
+
Collide occurs = 1185277385 (1.19B)
|
| 82 |
+
Gas reactions = 0 (0K)
|
| 83 |
+
Particles stuck = 0
|
| 84 |
+
Axisymm bad moves = 0
|
| 85 |
+
|
| 86 |
+
Particle-moves/CPUsec/proc: 2.66987e+06
|
| 87 |
+
Particle-moves/step: 506191
|
| 88 |
+
Cell-touches/particle/step: 1.04423
|
| 89 |
+
Particle comm iterations/step: 1
|
| 90 |
+
Particle fraction communicated: 0.00201628
|
| 91 |
+
Particle fraction colliding with boundary: 0
|
| 92 |
+
Particle fraction exiting boundary: 0.000192881
|
| 93 |
+
Surface-checks/particle/step: 0.00219013
|
| 94 |
+
Surface-collisions/particle/step: 3.55299e-05
|
| 95 |
+
Surface-reactions/particle/step: 0
|
| 96 |
+
Collision-attempts/particle/step: 0.0149247
|
| 97 |
+
Collisions/particle/step: 0.0117078
|
| 98 |
+
Gas-reactions/particle/step: 0
|
| 99 |
+
|
| 100 |
+
Particles: 3961.69 ave 27889 max 0 min
|
| 101 |
+
Histogram: 84 16 6 10 2 5 1 2 0 2
|
| 102 |
+
Cells: 518.531 ave 519 max 518 min
|
| 103 |
+
Histogram: 60 0 0 0 0 0 0 0 0 68
|
| 104 |
+
GhostCell: 13340.3 ave 24514 max 724 min
|
| 105 |
+
Histogram: 22 8 12 10 17 3 6 4 16 30
|
| 106 |
+
EmptyCell: 0 ave 0 max 0 min
|
| 107 |
+
Histogram: 128 0 0 0 0 0 0 0 0 0
|
| 108 |
+
Surfs: 200 ave 200 max 200 min
|
| 109 |
+
Histogram: 128 0 0 0 0 0 0 0 0 0
|
| 110 |
+
GhostSurf: 0 ave 0 max 0 min
|
| 111 |
+
Histogram: 128 0 0 0 0 0 0 0 0 0
|
| 112 |
+
Memory usage per proc in Mbytes:
|
| 113 |
+
particles (ave,min,max) = 1.6875 0 3.375
|
| 114 |
+
grid (ave,min,max) = 3.23499 1.51379 5.26379
|
| 115 |
+
surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
|
| 116 |
+
total (ave,min,max) = 5.11741 3.39595 7.14645
|
| 117 |
+
Step CPU Np Natt Ncoll Nscoll Npave Nscollave
|
| 118 |
+
200000 0 507096 6296 5578 0 0 0
|
| 119 |
+
210000 25.950085 506924 6425 5703 19 507475.9 17.9655
|
| 120 |
+
220000 53.00904 508135 6393 5608 17 507438.68 17.96605
|
| 121 |
+
230000 79.25017 507589 6374 5661 20 507421.14 17.971067
|
| 122 |
+
240000 104.70597 507758 6395 5611 23 507412.69 17.97455
|
| 123 |
+
250000 132.3267 507301 6380 5628 22 507401.03 17.98934
|
| 124 |
+
260000 158.07831 507706 6476 5736 16 507429.78 17.988283
|
| 125 |
+
270000 185.67796 507628 6464 5713 20 507458.28 17.997814
|
| 126 |
+
280000 211.3624 508198 6360 5628 11 507511.15 18.00515
|
| 127 |
+
290000 238.8235 507443 6406 5672 17 507545.03 17.998822
|
| 128 |
+
300000 264.65785 507576 6405 5681 24 507561.42 18.00916
|
| 129 |
+
Loop time of 264.659 on 128 procs for 100000 steps with 507576 particles
|
| 130 |
+
|
| 131 |
+
MPI task timing breakdown:
|
| 132 |
+
Section | min time | avg time | max time |%varavg| %total
|
| 133 |
+
---------------------------------------------------------------
|
| 134 |
+
Move | 0.011454 | 6.2471 | 40.525 | 325.3 | 2.36
|
| 135 |
+
Coll | 0.17174 | 5.0336 | 43.341 | 310.0 | 1.90
|
| 136 |
+
Sort | 0.066272 | 1.0753 | 7.0671 | 135.6 | 0.41
|
| 137 |
+
Comm | 41.043 | 63.254 | 71.689 | 85.3 | 23.90
|
| 138 |
+
Modify | 2.3895 | 17.272 | 105.86 | 502.9 | 6.53
|
| 139 |
+
Output | 0.038599 | 0.040311 | 0.044329 | 0.6 | 0.02
|
| 140 |
+
Other | | 171.7 | | | 64.89
|
| 141 |
+
|
| 142 |
+
Particle moves = 50756142281 (50.8B)
|
| 143 |
+
Cells touched = 53000078420 (53B)
|
| 144 |
+
Particle comms = 102264505 (102M)
|
| 145 |
+
Boundary collides = 0 (0K)
|
| 146 |
+
Boundary exits = 9788858 (9.79M)
|
| 147 |
+
SurfColl checks = 111096369 (111M)
|
| 148 |
+
SurfColl occurs = 1800916 (1.8M)
|
| 149 |
+
Surf reactions = 0 (0K)
|
| 150 |
+
Collide attempts = 761301931 (761M)
|
| 151 |
+
Collide occurs = 597149210 (597M)
|
| 152 |
+
Gas reactions = 0 (0K)
|
| 153 |
+
Particles stuck = 0
|
| 154 |
+
Axisymm bad moves = 0
|
| 155 |
+
|
| 156 |
+
Particle-moves/CPUsec/proc: 1.49828e+06
|
| 157 |
+
Particle-moves/step: 507561
|
| 158 |
+
Cell-touches/particle/step: 1.04421
|
| 159 |
+
Particle comm iterations/step: 1
|
| 160 |
+
Particle fraction communicated: 0.00201482
|
| 161 |
+
Particle fraction colliding with boundary: 0
|
| 162 |
+
Particle fraction exiting boundary: 0.000192861
|
| 163 |
+
Surface-checks/particle/step: 0.00218883
|
| 164 |
+
Surface-collisions/particle/step: 3.54817e-05
|
| 165 |
+
Surface-reactions/particle/step: 0
|
| 166 |
+
Collision-attempts/particle/step: 0.0149992
|
| 167 |
+
Collisions/particle/step: 0.0117651
|
| 168 |
+
Gas-reactions/particle/step: 0
|
| 169 |
+
|
| 170 |
+
Particles: 3965.44 ave 27930 max 0 min
|
| 171 |
+
Histogram: 84 16 6 10 2 6 0 2 0 2
|
| 172 |
+
Cells: 518.531 ave 519 max 518 min
|
| 173 |
+
Histogram: 60 0 0 0 0 0 0 0 0 68
|
| 174 |
+
GhostCell: 13340.3 ave 24514 max 724 min
|
| 175 |
+
Histogram: 22 8 12 10 17 3 6 4 16 30
|
| 176 |
+
EmptyCell: 0 ave 0 max 0 min
|
| 177 |
+
Histogram: 128 0 0 0 0 0 0 0 0 0
|
| 178 |
+
Surfs: 200 ave 200 max 200 min
|
| 179 |
+
Histogram: 128 0 0 0 0 0 0 0 0 0
|
| 180 |
+
GhostSurf: 0 ave 0 max 0 min
|
| 181 |
+
Histogram: 128 0 0 0 0 0 0 0 0 0
|
| 182 |
+
Writing grid file ...
|
| 183 |
+
grid cells = 66372
|
| 184 |
+
CPU time = 0.00941761 secs
|
| 185 |
+
Writing surface file ...
|
| 186 |
+
surf elements = 200
|
| 187 |
+
CPU time = 0.00160823 secs
|
| 188 |
+
Processing 4 grid chunk(s).
|
| 189 |
+
Completed grid chunk number: 3
|
| 190 |
+
Completed grid chunk number: 2
|
| 191 |
+
Completed grid chunk number: 1
|
| 192 |
+
Completed grid chunk number: 0
|
| 193 |
+
|
| 194 |
+
Done in 0:00:10 (wall clock time)
|
| 195 |
+
|
| 196 |
+
Processing 4 grid chunk(s).
|
| 197 |
+
Completed grid chunk number: 3
|
| 198 |
+
Completed grid chunk number: 2
|
| 199 |
+
Completed grid chunk number: 1
|
| 200 |
+
Completed grid chunk number: 0
|
| 201 |
+
|
| 202 |
+
Done in 0:00:09 (wall clock time)
|
| 203 |
+
|
| 204 |
+
Processing SPARTA surface information.
|
| 205 |
+
Processing dump result file: ['./output/surf.300000.dat']
|
CylinderKnMa/Kn0p34/simulation0743_Kn0p34Ma6p2/surf/Surf_300000.vtu
ADDED
|
@@ -0,0 +1,38 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
<?xml version="1.0"?>
|
| 2 |
+
<VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
|
| 3 |
+
<UnstructuredGrid>
|
| 4 |
+
<Piece NumberOfPoints="400" NumberOfCells="200" >
|
| 5 |
+
<PointData>
|
| 6 |
+
</PointData>
|
| 7 |
+
<CellData>
|
| 8 |
+
<DataArray type="Float64" Name="id" format="appended" RangeMin="1" RangeMax="200" offset="0" />
|
| 9 |
+
<DataArray type="Float64" Name="v1x" format="appended" RangeMin="-0.5" RangeMax="0.5" offset="432" />
|
| 10 |
+
<DataArray type="Float64" Name="v1y" format="appended" RangeMin="-0.5" RangeMax="0.5" offset="1468" />
|
| 11 |
+
<DataArray type="Float64" Name="v2x" format="appended" RangeMin="-0.5" RangeMax="0.5" offset="2476" />
|
| 12 |
+
<DataArray type="Float64" Name="v2y" format="appended" RangeMin="-0.5" RangeMax="0.5" offset="3508" />
|
| 13 |
+
<DataArray type="Float64" Name="f_2[1]" format="appended" RangeMin="0.00179" RangeMax="0.3007" offset="4512" />
|
| 14 |
+
<DataArray type="Float64" Name="f_2[2]" format="appended" RangeMin="0.050105" RangeMax="9.9433" offset="6472" />
|
| 15 |
+
<DataArray type="Float64" Name="f_2[3]" format="appended" RangeMin="-0.14142" RangeMax="9.9421" offset="8524" />
|
| 16 |
+
<DataArray type="Float64" Name="f_2[4]" format="appended" RangeMin="-4.193" RangeMax="4.1635" offset="10628" />
|
| 17 |
+
<DataArray type="Float64" Name="f_2[5]" format="appended" RangeMin="-0.00046966" RangeMax="0.85542" offset="12732" />
|
| 18 |
+
<DataArray type="Float64" Name="f_2[6]" format="appended" RangeMin="-0.81363" RangeMax="0.80559" offset="14824" />
|
| 19 |
+
<DataArray type="Float64" Name="f_2[7]" format="appended" RangeMin="-0.0012532" RangeMax="0.15617" offset="16952" />
|
| 20 |
+
<DataArray type="Float64" Name="f_2[8]" format="appended" RangeMin="-0.053606" RangeMax="0.053693" offset="19084" />
|
| 21 |
+
<DataArray type="Float64" Name="f_2[9]" format="appended" RangeMin="13.115" RangeMax="3017.8" offset="21212" />
|
| 22 |
+
<DataArray type="Float64" Name="f_2[10]" format="appended" RangeMin="0" RangeMax="0" offset="22536" />
|
| 23 |
+
<DataArray type="Float64" Name="f_2[11]" format="appended" RangeMin="0" RangeMax="0" offset="22588" />
|
| 24 |
+
</CellData>
|
| 25 |
+
<Points>
|
| 26 |
+
<DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="0.49999998503" RangeMax="0.50000001255" offset="22640" />
|
| 27 |
+
</Points>
|
| 28 |
+
<Cells>
|
| 29 |
+
<DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="23968" />
|
| 30 |
+
<DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="24872" />
|
| 31 |
+
<DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="25364" />
|
| 32 |
+
</Cells>
|
| 33 |
+
</Piece>
|
| 34 |
+
</UnstructuredGrid>
|
| 35 |
+
<AppendedData encoding="base64">
|
| 36 |
+
_AQAAAACAAABABgAAMAEAAA==eJwtyzeOVVEQRdETEhIQEBC0EEIIIQSNt32Bxnvv4eJhFjWUN5QayhsCQ0Dor0qWjrYq+X9/d7K5sWEP93If9/MAt3iQh3iYR3iUx3icJ3iS2zzF0zzDszzH87zAi7zEy7zCq9zh2FjMNZu5bjM3bGbXZm7azC2buW0zd2zmrs3cs5n7NvPAZh7azCObeWwzTzYOFpt5qrPYzDOdxWae6yw280JnsZmXOovNvNJZbOa1zmIzb3QWm3mrs9jMO53FZt7rLDbzQWexmY86i8180lls5rPOYjNz4xYHJ4sLmyvzxT8HJ4sLmyvz1T8HJ4sLmyvzzT8HJ4sLmyvz3T8HJ4sLmyvzwz8HJ4sLmyvz0z8HJ4sLmyvzyz8HJ4sLmyvz2z8HJ4sLmyvzZ/wDaXOy2Q==AQAAAACAAABABgAA9QIAAA==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AQAAAACAAABABgAA4AIAAA==eJxVk11I01EYxmdIkZKVWmoilfSB0BdCpV34al1U1kUQ1JXpyC60cFZo1DAiozSJGWUKGo7sw8rEoIj8eh1hI0al05k23QRRS5IwQsxpNPB5Bv3vDv9zzvt8/I7BsPDljJS8noks16iwa9lBEVbNbU9PKYyq18a+UsdUSJMabfNXlix+peHTkxvi595o6o0/vxb9aNGZZxVLtVd1b9ZoV7zbpi2u807f+3c6vrOwdOJFpzYkp+7Yb7Gruc030pb7Qe33nbZZcWjBnejgY2EfNef4+tHNrk8aejI0LSy9S6czVs6ZNnbry5u7Ey1z3drQ+cQQ/dmp8fPTBcM1PXpobbO1/VSvGtdct5QkuHT525i8jnGXxi4b3lpu7dNZv6q6o1/0ae7Vep+hX10pcZaY+n69bOqpnT8woEMTyd+LRgZ0S+3oxfwLX/XBpdNZz4PdmlbkqNlW5lZz8fbDj0MG9cityrzw4kGdKakKP/h7UAsKE5PSTwxpkl+VrWNI01obM5tiPVoeedu4yuTRzATHCnuzR8e+TZmr/3p0Mjv/buser475p/TlebUyOWN1RLVXgx7uOntOvXqvYtMjq9urceuq6uw//et9ZWfGfV5daGM4sA78x36e5328PzAP86mH+qiX+umH/uiX/pkH82FezI95Ml/mzfzZB/thX+yPfbJf9s3+yQP5IC/khzyRL/JG/sgj+SSv5Jc8k2/yTv75Hgz/vw/Bf8F+wXnBfYL7BfME8wV6BPoEegX6BX4E/gR+Bf4FeQjyEeQlyE+QpyBfQd6C/AV9CPoR9CXoT9CnoF9B34L+BTwI+BDwIuBHwJOALwFvAv4EPAr4FPAq4FfAs4BvAe8C/gXvQfA+AuvAf+zned7H+wPzMJ96qI96qZ9+6I9+6Z95MB/mxfyYJ/Nl3syffbAf9sX+2Cf7Zd/snzyQD/JCfsgT+SJv5I88kk/ySn7JM/km7+Sf7+EfoR1XNA==AQAAAACAAABABgAA8wIAAA==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AQAAAACAAABABgAA3wIAAA==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AQAAAACAAABABgAA8QUAAA==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AQAAAACAAABABgAAGAYAAA==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AQAAAACAAABABgAAKgYAAA==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AQAAAACAAABABgAAKQYAAA==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AQAAAACAAABABgAAzwMAAA==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eJxjYBgFo2AUjIJRMApIBwAGQAABAQAAAACAAABABgAAFQAAAA==eJxjYBgFo2AUjIJRMApIBwAGQAABAQAAAACAAADAEgAA0gMAAA==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AQAAAACAAABABgAAXwEAAA==eJwtxVFEHAAAANBKkpzkJEmSJMlJkiRJkiRJkiQnSXKSJEmSJEmSJEmSZGYmmUmSJEmSJEkyMzOTzCRJkmT20Xs/LybqXazjHO8EB5zoJAed7BSnOs3pznCms5ztHOc6zyHnu8CFLnKxS1zqMpe7wpWucrVrXOs617vBjW5ys1vc6rDb3O4Od7rLEXe7x73uc78HPOghD3vEox7zuCc86SlPe8aznvO8F7zoJS97xate8wd/9Cd/9ro3/MVfvektb3vHu97zvg986CMf+8SnPvO5L3zpK1/7m7/7h3/6l3/7xrf+47++870f/OgnP/vFr37zP0dFvxfjWMc53gkOONFJDjrZKU51mtOd4UxnOds5znWeQ853gQtd5GKXuNRlLneFK13late41nWud4Mb3eRmt7jVYbe53R3udJcj7naPe93nfg940EMe9ohHPeZxT3jSU572jGc95/9sSVRSAQAAAACAAADIAAAADAAAAA==eJxjZh4eAADsVAJZ
|
| 37 |
+
</AppendedData>
|
| 38 |
+
</VTKFile>
|
CylinderKnMa/Kn0p34/simulation0743_Kn0p34Ma6p2/surf/geom.surf
ADDED
|
@@ -0,0 +1,610 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Surface element file written by SPARTA
|
| 2 |
+
|
| 3 |
+
400 points
|
| 4 |
+
200 lines
|
| 5 |
+
|
| 6 |
+
Points
|
| 7 |
+
|
| 8 |
+
1 0.5 0
|
| 9 |
+
2 0.499753280182866 -0.0157053795390643
|
| 10 |
+
3 0.499753280182866 -0.0157053795390643
|
| 11 |
+
4 0.499013364214136 -0.0313952597646568
|
| 12 |
+
5 0.499013364214136 -0.0313952597646568
|
| 13 |
+
6 0.49778098230154 -0.0470541566592573
|
| 14 |
+
7 0.49778098230154 -0.0470541566592573
|
| 15 |
+
8 0.496057350657239 -0.0626666167821523
|
| 16 |
+
9 0.496057350657239 -0.0626666167821523
|
| 17 |
+
10 0.493844170297569 -0.0782172325201156
|
| 18 |
+
11 0.493844170297569 -0.0782172325201156
|
| 19 |
+
12 0.491143625364344 -0.0936906572928624
|
| 20 |
+
13 0.491143625364344 -0.0936906572928624
|
| 21 |
+
14 0.487958380969374 -0.109071620698271
|
| 22 |
+
15 0.487958380969374 -0.109071620698271
|
| 23 |
+
16 0.484291580564315 -0.124344943582427
|
| 24 |
+
17 0.484291580564315 -0.124344943582427
|
| 25 |
+
18 0.480146842838471 -0.139495553019615
|
| 26 |
+
19 0.480146842838471 -0.139495553019615
|
| 27 |
+
20 0.475528258147577 -0.154508497187474
|
| 28 |
+
21 0.475528258147577 -0.154508497187474
|
| 29 |
+
22 0.470440384477113 -0.169368960122646
|
| 30 |
+
23 0.470440384477113 -0.169368960122646
|
| 31 |
+
24 0.464888242944126 -0.184062276342339
|
| 32 |
+
25 0.464888242944126 -0.184062276342339
|
| 33 |
+
26 0.458877312841991 -0.19857394531739
|
| 34 |
+
27 0.458877312841991 -0.19857394531739
|
| 35 |
+
28 0.45241352623301 -0.212889645782536
|
| 36 |
+
29 0.45241352623301 -0.212889645782536
|
| 37 |
+
30 0.445503262094184 -0.226995249869774
|
| 38 |
+
31 0.445503262094184 -0.226995249869774
|
| 39 |
+
32 0.438153340021932 -0.240876837050858
|
| 40 |
+
33 0.438153340021932 -0.240876837050858
|
| 41 |
+
34 0.430371013501972 -0.254520707875186
|
| 42 |
+
35 0.430371013501972 -0.254520707875186
|
| 43 |
+
36 0.422163962751007 -0.267913397489498
|
| 44 |
+
37 0.422163962751007 -0.267913397489498
|
| 45 |
+
38 0.413540287137281 -0.281041688926065
|
| 46 |
+
39 0.413540287137281 -0.281041688926065
|
| 47 |
+
40 0.404508497187474 -0.293892626146237
|
| 48 |
+
41 0.404508497187474 -0.293892626146237
|
| 49 |
+
42 0.395077506187845 -0.306453526826488
|
| 50 |
+
43 0.395077506187845 -0.306453526826488
|
| 51 |
+
44 0.385256621387895 -0.318711994874345
|
| 52 |
+
45 0.385256621387895 -0.318711994874345
|
| 53 |
+
46 0.37505553481523 -0.330655932661826
|
| 54 |
+
47 0.37505553481523 -0.330655932661826
|
| 55 |
+
48 0.364484313710706 -0.342273552964344
|
| 56 |
+
49 0.364484313710706 -0.342273552964344
|
| 57 |
+
50 0.353553390593274 -0.353553390593274
|
| 58 |
+
51 0.353553390593274 -0.353553390593274
|
| 59 |
+
52 0.342273552964344 -0.364484313710706
|
| 60 |
+
53 0.342273552964344 -0.364484313710706
|
| 61 |
+
54 0.330655932661826 -0.37505553481523
|
| 62 |
+
55 0.330655932661826 -0.37505553481523
|
| 63 |
+
56 0.318711994874345 -0.385256621387895
|
| 64 |
+
57 0.318711994874345 -0.385256621387895
|
| 65 |
+
58 0.306453526826488 -0.395077506187845
|
| 66 |
+
59 0.306453526826488 -0.395077506187845
|
| 67 |
+
60 0.293892626146236 -0.404508497187474
|
| 68 |
+
61 0.293892626146236 -0.404508497187474
|
| 69 |
+
62 0.281041688926065 -0.413540287137281
|
| 70 |
+
63 0.281041688926065 -0.413540287137281
|
| 71 |
+
64 0.267913397489498 -0.422163962751008
|
| 72 |
+
65 0.267913397489498 -0.422163962751008
|
| 73 |
+
66 0.254520707875185 -0.430371013501972
|
| 74 |
+
67 0.254520707875185 -0.430371013501972
|
| 75 |
+
68 0.240876837050857 -0.438153340021932
|
| 76 |
+
69 0.240876837050857 -0.438153340021932
|
| 77 |
+
70 0.226995249869773 -0.445503262094184
|
| 78 |
+
71 0.226995249869773 -0.445503262094184
|
| 79 |
+
72 0.212889645782536 -0.45241352623301
|
| 80 |
+
73 0.212889645782536 -0.45241352623301
|
| 81 |
+
74 0.19857394531739 -0.458877312841991
|
| 82 |
+
75 0.19857394531739 -0.458877312841991
|
| 83 |
+
76 0.184062276342339 -0.464888242944126
|
| 84 |
+
77 0.184062276342339 -0.464888242944126
|
| 85 |
+
78 0.169368960122645 -0.470440384477113
|
| 86 |
+
79 0.169368960122645 -0.470440384477113
|
| 87 |
+
80 0.154508497187474 -0.475528258147577
|
| 88 |
+
81 0.154508497187474 -0.475528258147577
|
| 89 |
+
82 0.139495553019614 -0.480146842838472
|
| 90 |
+
83 0.139495553019614 -0.480146842838472
|
| 91 |
+
84 0.124344943582427 -0.484291580564316
|
| 92 |
+
85 0.124344943582427 -0.484291580564316
|
| 93 |
+
86 0.109071620698271 -0.487958380969374
|
| 94 |
+
87 0.109071620698271 -0.487958380969374
|
| 95 |
+
88 0.0936906572928621 -0.491143625364344
|
| 96 |
+
89 0.0936906572928621 -0.491143625364344
|
| 97 |
+
90 0.0782172325201152 -0.493844170297569
|
| 98 |
+
91 0.0782172325201152 -0.493844170297569
|
| 99 |
+
92 0.062666616782152 -0.496057350657239
|
| 100 |
+
93 0.062666616782152 -0.496057350657239
|
| 101 |
+
94 0.047054156659257 -0.49778098230154
|
| 102 |
+
95 0.047054156659257 -0.49778098230154
|
| 103 |
+
96 0.0313952597646565 -0.499013364214136
|
| 104 |
+
97 0.0313952597646565 -0.499013364214136
|
| 105 |
+
98 0.015705379539064 -0.499753280182866
|
| 106 |
+
99 0.015705379539064 -0.499753280182866
|
| 107 |
+
100 0 -0.5
|
| 108 |
+
101 0 -0.5
|
| 109 |
+
102 -0.0157053795390643 -0.499753280182866
|
| 110 |
+
103 -0.0157053795390643 -0.499753280182866
|
| 111 |
+
104 -0.0313952597646568 -0.499013364214136
|
| 112 |
+
105 -0.0313952597646568 -0.499013364214136
|
| 113 |
+
106 -0.0470541566592573 -0.49778098230154
|
| 114 |
+
107 -0.0470541566592573 -0.49778098230154
|
| 115 |
+
108 -0.0626666167821523 -0.496057350657239
|
| 116 |
+
109 -0.0626666167821523 -0.496057350657239
|
| 117 |
+
110 -0.0782172325201156 -0.493844170297569
|
| 118 |
+
111 -0.0782172325201156 -0.493844170297569
|
| 119 |
+
112 -0.0936906572928625 -0.491143625364344
|
| 120 |
+
113 -0.0936906572928625 -0.491143625364344
|
| 121 |
+
114 -0.109071620698271 -0.487958380969374
|
| 122 |
+
115 -0.109071620698271 -0.487958380969374
|
| 123 |
+
116 -0.124344943582428 -0.484291580564315
|
| 124 |
+
117 -0.124344943582428 -0.484291580564315
|
| 125 |
+
118 -0.139495553019615 -0.480146842838471
|
| 126 |
+
119 -0.139495553019615 -0.480146842838471
|
| 127 |
+
120 -0.154508497187474 -0.475528258147577
|
| 128 |
+
121 -0.154508497187474 -0.475528258147577
|
| 129 |
+
122 -0.169368960122646 -0.470440384477113
|
| 130 |
+
123 -0.169368960122646 -0.470440384477113
|
| 131 |
+
124 -0.184062276342339 -0.464888242944126
|
| 132 |
+
125 -0.184062276342339 -0.464888242944126
|
| 133 |
+
126 -0.19857394531739 -0.458877312841991
|
| 134 |
+
127 -0.19857394531739 -0.458877312841991
|
| 135 |
+
128 -0.212889645782536 -0.45241352623301
|
| 136 |
+
129 -0.212889645782536 -0.45241352623301
|
| 137 |
+
130 -0.226995249869774 -0.445503262094184
|
| 138 |
+
131 -0.226995249869774 -0.445503262094184
|
| 139 |
+
132 -0.240876837050858 -0.438153340021932
|
| 140 |
+
133 -0.240876837050858 -0.438153340021932
|
| 141 |
+
134 -0.254520707875186 -0.430371013501972
|
| 142 |
+
135 -0.254520707875186 -0.430371013501972
|
| 143 |
+
136 -0.267913397489499 -0.422163962751007
|
| 144 |
+
137 -0.267913397489499 -0.422163962751007
|
| 145 |
+
138 -0.281041688926066 -0.413540287137281
|
| 146 |
+
139 -0.281041688926066 -0.413540287137281
|
| 147 |
+
140 -0.293892626146237 -0.404508497187474
|
| 148 |
+
141 -0.293892626146237 -0.404508497187474
|
| 149 |
+
142 -0.306453526826488 -0.395077506187845
|
| 150 |
+
143 -0.306453526826488 -0.395077506187845
|
| 151 |
+
144 -0.318711994874345 -0.385256621387895
|
| 152 |
+
145 -0.318711994874345 -0.385256621387895
|
| 153 |
+
146 -0.330655932661826 -0.37505553481523
|
| 154 |
+
147 -0.330655932661826 -0.37505553481523
|
| 155 |
+
148 -0.342273552964344 -0.364484313710706
|
| 156 |
+
149 -0.342273552964344 -0.364484313710706
|
| 157 |
+
150 -0.353553390593274 -0.353553390593274
|
| 158 |
+
151 -0.353553390593274 -0.353553390593274
|
| 159 |
+
152 -0.364484313710706 -0.342273552964344
|
| 160 |
+
153 -0.364484313710706 -0.342273552964344
|
| 161 |
+
154 -0.37505553481523 -0.330655932661826
|
| 162 |
+
155 -0.37505553481523 -0.330655932661826
|
| 163 |
+
156 -0.385256621387895 -0.318711994874345
|
| 164 |
+
157 -0.385256621387895 -0.318711994874345
|
| 165 |
+
158 -0.395077506187845 -0.306453526826488
|
| 166 |
+
159 -0.395077506187845 -0.306453526826488
|
| 167 |
+
160 -0.404508497187474 -0.293892626146237
|
| 168 |
+
161 -0.404508497187474 -0.293892626146237
|
| 169 |
+
162 -0.413540287137281 -0.281041688926065
|
| 170 |
+
163 -0.413540287137281 -0.281041688926065
|
| 171 |
+
164 -0.422163962751008 -0.267913397489498
|
| 172 |
+
165 -0.422163962751008 -0.267913397489498
|
| 173 |
+
166 -0.430371013501972 -0.254520707875185
|
| 174 |
+
167 -0.430371013501972 -0.254520707875185
|
| 175 |
+
168 -0.438153340021932 -0.240876837050857
|
| 176 |
+
169 -0.438153340021932 -0.240876837050857
|
| 177 |
+
170 -0.445503262094184 -0.226995249869773
|
| 178 |
+
171 -0.445503262094184 -0.226995249869773
|
| 179 |
+
172 -0.45241352623301 -0.212889645782536
|
| 180 |
+
173 -0.45241352623301 -0.212889645782536
|
| 181 |
+
174 -0.458877312841991 -0.19857394531739
|
| 182 |
+
175 -0.458877312841991 -0.19857394531739
|
| 183 |
+
176 -0.464888242944126 -0.184062276342339
|
| 184 |
+
177 -0.464888242944126 -0.184062276342339
|
| 185 |
+
178 -0.470440384477113 -0.169368960122645
|
| 186 |
+
179 -0.470440384477113 -0.169368960122645
|
| 187 |
+
180 -0.475528258147577 -0.154508497187473
|
| 188 |
+
181 -0.475528258147577 -0.154508497187473
|
| 189 |
+
182 -0.480146842838472 -0.139495553019614
|
| 190 |
+
183 -0.480146842838472 -0.139495553019614
|
| 191 |
+
184 -0.484291580564316 -0.124344943582427
|
| 192 |
+
185 -0.484291580564316 -0.124344943582427
|
| 193 |
+
186 -0.487958380969374 -0.109071620698271
|
| 194 |
+
187 -0.487958380969374 -0.109071620698271
|
| 195 |
+
188 -0.491143625364344 -0.0936906572928622
|
| 196 |
+
189 -0.491143625364344 -0.0936906572928622
|
| 197 |
+
190 -0.493844170297569 -0.0782172325201151
|
| 198 |
+
191 -0.493844170297569 -0.0782172325201151
|
| 199 |
+
192 -0.496057350657239 -0.0626666167821519
|
| 200 |
+
193 -0.496057350657239 -0.0626666167821519
|
| 201 |
+
194 -0.49778098230154 -0.0470541566592571
|
| 202 |
+
195 -0.49778098230154 -0.0470541566592571
|
| 203 |
+
196 -0.499013364214136 -0.0313952597646564
|
| 204 |
+
197 -0.499013364214136 -0.0313952597646564
|
| 205 |
+
198 -0.499753280182866 -0.015705379539064
|
| 206 |
+
199 -0.499753280182866 -0.015705379539064
|
| 207 |
+
200 -0.5 0
|
| 208 |
+
201 -0.5 0
|
| 209 |
+
202 -0.499753280182866 0.0157053795390643
|
| 210 |
+
203 -0.499753280182866 0.0157053795390643
|
| 211 |
+
204 -0.499013364214136 0.0313952597646568
|
| 212 |
+
205 -0.499013364214136 0.0313952597646568
|
| 213 |
+
206 -0.49778098230154 0.0470541566592574
|
| 214 |
+
207 -0.49778098230154 0.0470541566592574
|
| 215 |
+
208 -0.496057350657239 0.0626666167821523
|
| 216 |
+
209 -0.496057350657239 0.0626666167821523
|
| 217 |
+
210 -0.493844170297569 0.0782172325201157
|
| 218 |
+
211 -0.493844170297569 0.0782172325201157
|
| 219 |
+
212 -0.491143625364344 0.0936906572928625
|
| 220 |
+
213 -0.491143625364344 0.0936906572928625
|
| 221 |
+
214 -0.487958380969374 0.109071620698271
|
| 222 |
+
215 -0.487958380969374 0.109071620698271
|
| 223 |
+
216 -0.484291580564315 0.124344943582428
|
| 224 |
+
217 -0.484291580564315 0.124344943582428
|
| 225 |
+
218 -0.480146842838471 0.139495553019615
|
| 226 |
+
219 -0.480146842838471 0.139495553019615
|
| 227 |
+
220 -0.475528258147577 0.154508497187474
|
| 228 |
+
221 -0.475528258147577 0.154508497187474
|
| 229 |
+
222 -0.470440384477113 0.169368960122646
|
| 230 |
+
223 -0.470440384477113 0.169368960122646
|
| 231 |
+
224 -0.464888242944126 0.184062276342339
|
| 232 |
+
225 -0.464888242944126 0.184062276342339
|
| 233 |
+
226 -0.458877312841991 0.198573945317391
|
| 234 |
+
227 -0.458877312841991 0.198573945317391
|
| 235 |
+
228 -0.45241352623301 0.212889645782536
|
| 236 |
+
229 -0.45241352623301 0.212889645782536
|
| 237 |
+
230 -0.445503262094184 0.226995249869774
|
| 238 |
+
231 -0.445503262094184 0.226995249869774
|
| 239 |
+
232 -0.438153340021932 0.240876837050858
|
| 240 |
+
233 -0.438153340021932 0.240876837050858
|
| 241 |
+
234 -0.430371013501972 0.254520707875186
|
| 242 |
+
235 -0.430371013501972 0.254520707875186
|
| 243 |
+
236 -0.422163962751007 0.267913397489498
|
| 244 |
+
237 -0.422163962751007 0.267913397489498
|
| 245 |
+
238 -0.413540287137281 0.281041688926065
|
| 246 |
+
239 -0.413540287137281 0.281041688926065
|
| 247 |
+
240 -0.404508497187474 0.293892626146237
|
| 248 |
+
241 -0.404508497187474 0.293892626146237
|
| 249 |
+
242 -0.395077506187845 0.306453526826488
|
| 250 |
+
243 -0.395077506187845 0.306453526826488
|
| 251 |
+
244 -0.385256621387895 0.318711994874345
|
| 252 |
+
245 -0.385256621387895 0.318711994874345
|
| 253 |
+
246 -0.37505553481523 0.330655932661826
|
| 254 |
+
247 -0.37505553481523 0.330655932661826
|
| 255 |
+
248 -0.364484313710706 0.342273552964344
|
| 256 |
+
249 -0.364484313710706 0.342273552964344
|
| 257 |
+
250 -0.353553390593274 0.353553390593274
|
| 258 |
+
251 -0.353553390593274 0.353553390593274
|
| 259 |
+
252 -0.342273552964344 0.364484313710706
|
| 260 |
+
253 -0.342273552964344 0.364484313710706
|
| 261 |
+
254 -0.330655932661826 0.37505553481523
|
| 262 |
+
255 -0.330655932661826 0.37505553481523
|
| 263 |
+
256 -0.318711994874345 0.385256621387895
|
| 264 |
+
257 -0.318711994874345 0.385256621387895
|
| 265 |
+
258 -0.306453526826488 0.395077506187845
|
| 266 |
+
259 -0.306453526826488 0.395077506187845
|
| 267 |
+
260 -0.293892626146237 0.404508497187474
|
| 268 |
+
261 -0.293892626146237 0.404508497187474
|
| 269 |
+
262 -0.281041688926065 0.413540287137281
|
| 270 |
+
263 -0.281041688926065 0.413540287137281
|
| 271 |
+
264 -0.267913397489498 0.422163962751008
|
| 272 |
+
265 -0.267913397489498 0.422163962751008
|
| 273 |
+
266 -0.254520707875185 0.430371013501972
|
| 274 |
+
267 -0.254520707875185 0.430371013501972
|
| 275 |
+
268 -0.240876837050857 0.438153340021932
|
| 276 |
+
269 -0.240876837050857 0.438153340021932
|
| 277 |
+
270 -0.226995249869773 0.445503262094184
|
| 278 |
+
271 -0.226995249869773 0.445503262094184
|
| 279 |
+
272 -0.212889645782536 0.45241352623301
|
| 280 |
+
273 -0.212889645782536 0.45241352623301
|
| 281 |
+
274 -0.19857394531739 0.458877312841991
|
| 282 |
+
275 -0.19857394531739 0.458877312841991
|
| 283 |
+
276 -0.184062276342339 0.464888242944126
|
| 284 |
+
277 -0.184062276342339 0.464888242944126
|
| 285 |
+
278 -0.169368960122646 0.470440384477113
|
| 286 |
+
279 -0.169368960122646 0.470440384477113
|
| 287 |
+
280 -0.154508497187474 0.475528258147577
|
| 288 |
+
281 -0.154508497187474 0.475528258147577
|
| 289 |
+
282 -0.139495553019614 0.480146842838472
|
| 290 |
+
283 -0.139495553019614 0.480146842838472
|
| 291 |
+
284 -0.124344943582427 0.484291580564316
|
| 292 |
+
285 -0.124344943582427 0.484291580564316
|
| 293 |
+
286 -0.109071620698271 0.487958380969374
|
| 294 |
+
287 -0.109071620698271 0.487958380969374
|
| 295 |
+
288 -0.0936906572928622 0.491143625364344
|
| 296 |
+
289 -0.0936906572928622 0.491143625364344
|
| 297 |
+
290 -0.0782172325201154 0.493844170297569
|
| 298 |
+
291 -0.0782172325201154 0.493844170297569
|
| 299 |
+
292 -0.0626666167821517 0.496057350657239
|
| 300 |
+
293 -0.0626666167821517 0.496057350657239
|
| 301 |
+
294 -0.0470541566592569 0.49778098230154
|
| 302 |
+
295 -0.0470541566592569 0.49778098230154
|
| 303 |
+
296 -0.0313952597646565 0.499013364214136
|
| 304 |
+
297 -0.0313952597646565 0.499013364214136
|
| 305 |
+
298 -0.015705379539064 0.499753280182866
|
| 306 |
+
299 -0.015705379539064 0.499753280182866
|
| 307 |
+
300 0 0.5
|
| 308 |
+
301 0 0.5
|
| 309 |
+
302 0.0157053795390645 0.499753280182866
|
| 310 |
+
303 0.0157053795390645 0.499753280182866
|
| 311 |
+
304 0.031395259764657 0.499013364214136
|
| 312 |
+
305 0.031395259764657 0.499013364214136
|
| 313 |
+
306 0.0470541566592574 0.49778098230154
|
| 314 |
+
307 0.0470541566592574 0.49778098230154
|
| 315 |
+
308 0.0626666167821522 0.496057350657239
|
| 316 |
+
309 0.0626666167821522 0.496057350657239
|
| 317 |
+
310 0.0782172325201155 0.493844170297569
|
| 318 |
+
311 0.0782172325201155 0.493844170297569
|
| 319 |
+
312 0.0936906572928627 0.491143625364344
|
| 320 |
+
313 0.0936906572928627 0.491143625364344
|
| 321 |
+
314 0.109071620698272 0.487958380969374
|
| 322 |
+
315 0.109071620698272 0.487958380969374
|
| 323 |
+
316 0.124344943582428 0.484291580564315
|
| 324 |
+
317 0.124344943582428 0.484291580564315
|
| 325 |
+
318 0.139495553019615 0.480146842838471
|
| 326 |
+
319 0.139495553019615 0.480146842838471
|
| 327 |
+
320 0.154508497187474 0.475528258147577
|
| 328 |
+
321 0.154508497187474 0.475528258147577
|
| 329 |
+
322 0.169368960122646 0.470440384477113
|
| 330 |
+
323 0.169368960122646 0.470440384477113
|
| 331 |
+
324 0.184062276342339 0.464888242944126
|
| 332 |
+
325 0.184062276342339 0.464888242944126
|
| 333 |
+
326 0.198573945317391 0.458877312841991
|
| 334 |
+
327 0.198573945317391 0.458877312841991
|
| 335 |
+
328 0.212889645782536 0.45241352623301
|
| 336 |
+
329 0.212889645782536 0.45241352623301
|
| 337 |
+
330 0.226995249869774 0.445503262094184
|
| 338 |
+
331 0.226995249869774 0.445503262094184
|
| 339 |
+
332 0.240876837050858 0.438153340021932
|
| 340 |
+
333 0.240876837050858 0.438153340021932
|
| 341 |
+
334 0.254520707875186 0.430371013501972
|
| 342 |
+
335 0.254520707875186 0.430371013501972
|
| 343 |
+
336 0.267913397489498 0.422163962751007
|
| 344 |
+
337 0.267913397489498 0.422163962751007
|
| 345 |
+
338 0.281041688926065 0.413540287137281
|
| 346 |
+
339 0.281041688926065 0.413540287137281
|
| 347 |
+
340 0.293892626146237 0.404508497187473
|
| 348 |
+
341 0.293892626146237 0.404508497187473
|
| 349 |
+
342 0.306453526826489 0.395077506187845
|
| 350 |
+
343 0.306453526826489 0.395077506187845
|
| 351 |
+
344 0.318711994874345 0.385256621387895
|
| 352 |
+
345 0.318711994874345 0.385256621387895
|
| 353 |
+
346 0.330655932661826 0.37505553481523
|
| 354 |
+
347 0.330655932661826 0.37505553481523
|
| 355 |
+
348 0.342273552964344 0.364484313710706
|
| 356 |
+
349 0.342273552964344 0.364484313710706
|
| 357 |
+
350 0.353553390593274 0.353553390593273
|
| 358 |
+
351 0.353553390593274 0.353553390593273
|
| 359 |
+
352 0.364484313710706 0.342273552964344
|
| 360 |
+
353 0.364484313710706 0.342273552964344
|
| 361 |
+
354 0.37505553481523 0.330655932661826
|
| 362 |
+
355 0.37505553481523 0.330655932661826
|
| 363 |
+
356 0.385256621387895 0.318711994874345
|
| 364 |
+
357 0.385256621387895 0.318711994874345
|
| 365 |
+
358 0.395077506187845 0.306453526826488
|
| 366 |
+
359 0.395077506187845 0.306453526826488
|
| 367 |
+
360 0.404508497187474 0.293892626146236
|
| 368 |
+
361 0.404508497187474 0.293892626146236
|
| 369 |
+
362 0.413540287137281 0.281041688926065
|
| 370 |
+
363 0.413540287137281 0.281041688926065
|
| 371 |
+
364 0.422163962751008 0.267913397489498
|
| 372 |
+
365 0.422163962751008 0.267913397489498
|
| 373 |
+
366 0.430371013501972 0.254520707875185
|
| 374 |
+
367 0.430371013501972 0.254520707875185
|
| 375 |
+
368 0.438153340021932 0.240876837050858
|
| 376 |
+
369 0.438153340021932 0.240876837050858
|
| 377 |
+
370 0.445503262094184 0.226995249869773
|
| 378 |
+
371 0.445503262094184 0.226995249869773
|
| 379 |
+
372 0.45241352623301 0.212889645782536
|
| 380 |
+
373 0.45241352623301 0.212889645782536
|
| 381 |
+
374 0.458877312841991 0.19857394531739
|
| 382 |
+
375 0.458877312841991 0.19857394531739
|
| 383 |
+
376 0.464888242944126 0.184062276342339
|
| 384 |
+
377 0.464888242944126 0.184062276342339
|
| 385 |
+
378 0.470440384477113 0.169368960122646
|
| 386 |
+
379 0.470440384477113 0.169368960122646
|
| 387 |
+
380 0.475528258147577 0.154508497187473
|
| 388 |
+
381 0.475528258147577 0.154508497187473
|
| 389 |
+
382 0.480146842838472 0.139495553019614
|
| 390 |
+
383 0.480146842838472 0.139495553019614
|
| 391 |
+
384 0.484291580564316 0.124344943582427
|
| 392 |
+
385 0.484291580564316 0.124344943582427
|
| 393 |
+
386 0.487958380969374 0.109071620698271
|
| 394 |
+
387 0.487958380969374 0.109071620698271
|
| 395 |
+
388 0.491143625364344 0.0936906572928622
|
| 396 |
+
389 0.491143625364344 0.0936906572928622
|
| 397 |
+
390 0.493844170297569 0.078217232520115
|
| 398 |
+
391 0.493844170297569 0.078217232520115
|
| 399 |
+
392 0.496057350657239 0.0626666167821518
|
| 400 |
+
393 0.496057350657239 0.0626666167821518
|
| 401 |
+
394 0.49778098230154 0.0470541566592569
|
| 402 |
+
395 0.49778098230154 0.0470541566592569
|
| 403 |
+
396 0.499013364214136 0.0313952597646565
|
| 404 |
+
397 0.499013364214136 0.0313952597646565
|
| 405 |
+
398 0.499753280182866 0.0157053795390641
|
| 406 |
+
399 0.499753280182866 0.0157053795390641
|
| 407 |
+
400 0.5 0
|
| 408 |
+
|
| 409 |
+
Lines
|
| 410 |
+
|
| 411 |
+
1 1 2
|
| 412 |
+
2 3 4
|
| 413 |
+
3 5 6
|
| 414 |
+
4 7 8
|
| 415 |
+
5 9 10
|
| 416 |
+
6 11 12
|
| 417 |
+
7 13 14
|
| 418 |
+
8 15 16
|
| 419 |
+
9 17 18
|
| 420 |
+
10 19 20
|
| 421 |
+
11 21 22
|
| 422 |
+
12 23 24
|
| 423 |
+
13 25 26
|
| 424 |
+
14 27 28
|
| 425 |
+
15 29 30
|
| 426 |
+
16 31 32
|
| 427 |
+
17 33 34
|
| 428 |
+
18 35 36
|
| 429 |
+
19 37 38
|
| 430 |
+
20 39 40
|
| 431 |
+
21 41 42
|
| 432 |
+
22 43 44
|
| 433 |
+
23 45 46
|
| 434 |
+
24 47 48
|
| 435 |
+
25 49 50
|
| 436 |
+
26 51 52
|
| 437 |
+
27 53 54
|
| 438 |
+
28 55 56
|
| 439 |
+
29 57 58
|
| 440 |
+
30 59 60
|
| 441 |
+
31 61 62
|
| 442 |
+
32 63 64
|
| 443 |
+
33 65 66
|
| 444 |
+
34 67 68
|
| 445 |
+
35 69 70
|
| 446 |
+
36 71 72
|
| 447 |
+
37 73 74
|
| 448 |
+
38 75 76
|
| 449 |
+
39 77 78
|
| 450 |
+
40 79 80
|
| 451 |
+
41 81 82
|
| 452 |
+
42 83 84
|
| 453 |
+
43 85 86
|
| 454 |
+
44 87 88
|
| 455 |
+
45 89 90
|
| 456 |
+
46 91 92
|
| 457 |
+
47 93 94
|
| 458 |
+
48 95 96
|
| 459 |
+
49 97 98
|
| 460 |
+
50 99 100
|
| 461 |
+
51 101 102
|
| 462 |
+
52 103 104
|
| 463 |
+
53 105 106
|
| 464 |
+
54 107 108
|
| 465 |
+
55 109 110
|
| 466 |
+
56 111 112
|
| 467 |
+
57 113 114
|
| 468 |
+
58 115 116
|
| 469 |
+
59 117 118
|
| 470 |
+
60 119 120
|
| 471 |
+
61 121 122
|
| 472 |
+
62 123 124
|
| 473 |
+
63 125 126
|
| 474 |
+
64 127 128
|
| 475 |
+
65 129 130
|
| 476 |
+
66 131 132
|
| 477 |
+
67 133 134
|
| 478 |
+
68 135 136
|
| 479 |
+
69 137 138
|
| 480 |
+
70 139 140
|
| 481 |
+
71 141 142
|
| 482 |
+
72 143 144
|
| 483 |
+
73 145 146
|
| 484 |
+
74 147 148
|
| 485 |
+
75 149 150
|
| 486 |
+
76 151 152
|
| 487 |
+
77 153 154
|
| 488 |
+
78 155 156
|
| 489 |
+
79 157 158
|
| 490 |
+
80 159 160
|
| 491 |
+
81 161 162
|
| 492 |
+
82 163 164
|
| 493 |
+
83 165 166
|
| 494 |
+
84 167 168
|
| 495 |
+
85 169 170
|
| 496 |
+
86 171 172
|
| 497 |
+
87 173 174
|
| 498 |
+
88 175 176
|
| 499 |
+
89 177 178
|
| 500 |
+
90 179 180
|
| 501 |
+
91 181 182
|
| 502 |
+
92 183 184
|
| 503 |
+
93 185 186
|
| 504 |
+
94 187 188
|
| 505 |
+
95 189 190
|
| 506 |
+
96 191 192
|
| 507 |
+
97 193 194
|
| 508 |
+
98 195 196
|
| 509 |
+
99 197 198
|
| 510 |
+
100 199 200
|
| 511 |
+
101 201 202
|
| 512 |
+
102 203 204
|
| 513 |
+
103 205 206
|
| 514 |
+
104 207 208
|
| 515 |
+
105 209 210
|
| 516 |
+
106 211 212
|
| 517 |
+
107 213 214
|
| 518 |
+
108 215 216
|
| 519 |
+
109 217 218
|
| 520 |
+
110 219 220
|
| 521 |
+
111 221 222
|
| 522 |
+
112 223 224
|
| 523 |
+
113 225 226
|
| 524 |
+
114 227 228
|
| 525 |
+
115 229 230
|
| 526 |
+
116 231 232
|
| 527 |
+
117 233 234
|
| 528 |
+
118 235 236
|
| 529 |
+
119 237 238
|
| 530 |
+
120 239 240
|
| 531 |
+
121 241 242
|
| 532 |
+
122 243 244
|
| 533 |
+
123 245 246
|
| 534 |
+
124 247 248
|
| 535 |
+
125 249 250
|
| 536 |
+
126 251 252
|
| 537 |
+
127 253 254
|
| 538 |
+
128 255 256
|
| 539 |
+
129 257 258
|
| 540 |
+
130 259 260
|
| 541 |
+
131 261 262
|
| 542 |
+
132 263 264
|
| 543 |
+
133 265 266
|
| 544 |
+
134 267 268
|
| 545 |
+
135 269 270
|
| 546 |
+
136 271 272
|
| 547 |
+
137 273 274
|
| 548 |
+
138 275 276
|
| 549 |
+
139 277 278
|
| 550 |
+
140 279 280
|
| 551 |
+
141 281 282
|
| 552 |
+
142 283 284
|
| 553 |
+
143 285 286
|
| 554 |
+
144 287 288
|
| 555 |
+
145 289 290
|
| 556 |
+
146 291 292
|
| 557 |
+
147 293 294
|
| 558 |
+
148 295 296
|
| 559 |
+
149 297 298
|
| 560 |
+
150 299 300
|
| 561 |
+
151 301 302
|
| 562 |
+
152 303 304
|
| 563 |
+
153 305 306
|
| 564 |
+
154 307 308
|
| 565 |
+
155 309 310
|
| 566 |
+
156 311 312
|
| 567 |
+
157 313 314
|
| 568 |
+
158 315 316
|
| 569 |
+
159 317 318
|
| 570 |
+
160 319 320
|
| 571 |
+
161 321 322
|
| 572 |
+
162 323 324
|
| 573 |
+
163 325 326
|
| 574 |
+
164 327 328
|
| 575 |
+
165 329 330
|
| 576 |
+
166 331 332
|
| 577 |
+
167 333 334
|
| 578 |
+
168 335 336
|
| 579 |
+
169 337 338
|
| 580 |
+
170 339 340
|
| 581 |
+
171 341 342
|
| 582 |
+
172 343 344
|
| 583 |
+
173 345 346
|
| 584 |
+
174 347 348
|
| 585 |
+
175 349 350
|
| 586 |
+
176 351 352
|
| 587 |
+
177 353 354
|
| 588 |
+
178 355 356
|
| 589 |
+
179 357 358
|
| 590 |
+
180 359 360
|
| 591 |
+
181 361 362
|
| 592 |
+
182 363 364
|
| 593 |
+
183 365 366
|
| 594 |
+
184 367 368
|
| 595 |
+
185 369 370
|
| 596 |
+
186 371 372
|
| 597 |
+
187 373 374
|
| 598 |
+
188 375 376
|
| 599 |
+
189 377 378
|
| 600 |
+
190 379 380
|
| 601 |
+
191 381 382
|
| 602 |
+
192 383 384
|
| 603 |
+
193 385 386
|
| 604 |
+
194 387 388
|
| 605 |
+
195 389 390
|
| 606 |
+
196 391 392
|
| 607 |
+
197 393 394
|
| 608 |
+
198 395 396
|
| 609 |
+
199 397 398
|
| 610 |
+
200 399 400
|
CylinderKnMa/Kn0p34/simulation0744_Kn0p34Ma6p3/Grid.pvd
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
<?xml version="1.0"?>
|
| 2 |
+
<VTKFile type="Collection" version="0.1"
|
| 3 |
+
byte_order="LittleEndian"
|
| 4 |
+
compressor="vtkZLibDataCompressor">
|
| 5 |
+
<Collection>
|
| 6 |
+
<DataSet timestep="300000" group="" part="0"
|
| 7 |
+
file="Grid/Grid_300000.pvtu"/>
|
| 8 |
+
</Collection>
|
| 9 |
+
</VTKFile>
|
CylinderKnMa/Kn0p34/simulation0744_Kn0p34Ma6p3/Lambda.pvd
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
<?xml version="1.0"?>
|
| 2 |
+
<VTKFile type="Collection" version="0.1"
|
| 3 |
+
byte_order="LittleEndian"
|
| 4 |
+
compressor="vtkZLibDataCompressor">
|
| 5 |
+
<Collection>
|
| 6 |
+
<DataSet timestep="300000" group="" part="0"
|
| 7 |
+
file="Lambda/Lambda_300000.pvtu"/>
|
| 8 |
+
</Collection>
|
| 9 |
+
</VTKFile>
|
CylinderKnMa/Kn0p34/simulation0744_Kn0p34Ma6p3/Lambda/Lambda_0_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p34/simulation0744_Kn0p34Ma6p3/Lambda/Lambda_1_300000.vtu
ADDED
|
@@ -0,0 +1,27 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
<?xml version="1.0"?>
|
| 2 |
+
<VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
|
| 3 |
+
<UnstructuredGrid>
|
| 4 |
+
<Piece NumberOfPoints="3030" NumberOfCells="2900" >
|
| 5 |
+
<PointData>
|
| 6 |
+
</PointData>
|
| 7 |
+
<CellData>
|
| 8 |
+
<DataArray type="Float64" Name="id" format="appended" RangeMin="101" RangeMax="12900" offset="0" />
|
| 9 |
+
<DataArray type="Float64" Name="xc" format="appended" RangeMin="3.5698" RangeMax="5.9574" offset="5692" />
|
| 10 |
+
<DataArray type="Float64" Name="yc" format="appended" RangeMin="-4.9573" RangeMax="3.5043" offset="6236" />
|
| 11 |
+
<DataArray type="Float64" Name="c_6[1]" format="appended" RangeMin="0.016032" RangeMax="0.079349" offset="7132" />
|
| 12 |
+
<DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.18801" RangeMax="0.93055" offset="33108" />
|
| 13 |
+
</CellData>
|
| 14 |
+
<Points>
|
| 15 |
+
<DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="3.5273906772" RangeMax="7.8102496759" offset="53024" />
|
| 16 |
+
</Points>
|
| 17 |
+
<Cells>
|
| 18 |
+
<DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="62072" />
|
| 19 |
+
<DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="81028" />
|
| 20 |
+
<DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="86176" />
|
| 21 |
+
</Cells>
|
| 22 |
+
</Piece>
|
| 23 |
+
</UnstructuredGrid>
|
| 24 |
+
<AppendedData encoding="base64">
|
| 25 |
+
_AQAAAACAAACgWgAAmxAAAA==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AQAAAACAAACgWgAAjAIAAA==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AQAAAACAAACgWgAACEwAAA==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AgAAAACAAAAIDgAAlxcAANUCAAA=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eJztwSEBAAAAwyC9/oUf4hYoAADgMdglZfU=
|
| 26 |
+
</AppendedData>
|
| 27 |
+
</VTKFile>
|
CylinderKnMa/Kn0p34/simulation0744_Kn0p34Ma6p3/Lambda/Lambda_2_300000.vtu
ADDED
|
@@ -0,0 +1,27 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
<?xml version="1.0"?>
|
| 2 |
+
<VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
|
| 3 |
+
<UnstructuredGrid>
|
| 4 |
+
<Piece NumberOfPoints="1818" NumberOfCells="1700" >
|
| 5 |
+
<PointData>
|
| 6 |
+
</PointData>
|
| 7 |
+
<CellData>
|
| 8 |
+
<DataArray type="Float64" Name="id" format="appended" RangeMin="12901" RangeMax="15064" offset="0" />
|
| 9 |
+
<DataArray type="Float64" Name="xc" format="appended" RangeMin="-4.9574" RangeMax="3.4845" offset="2984" />
|
| 10 |
+
<DataArray type="Float64" Name="yc" format="appended" RangeMin="3.5897" RangeMax="4.9573" offset="4152" />
|
| 11 |
+
<DataArray type="Float64" Name="c_6[1]" format="appended" RangeMin="0.016336" RangeMax="0.030374" offset="4472" />
|
| 12 |
+
<DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.19158" RangeMax="0.3562" offset="12188" />
|
| 13 |
+
</CellData>
|
| 14 |
+
<Points>
|
| 15 |
+
<DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="3.5471440458" RangeMax="7.0710678119" offset="19904" />
|
| 16 |
+
</Points>
|
| 17 |
+
<Cells>
|
| 18 |
+
<DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="26060" />
|
| 19 |
+
<DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="38364" />
|
| 20 |
+
<DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="41432" />
|
| 21 |
+
</Cells>
|
| 22 |
+
</Piece>
|
| 23 |
+
</UnstructuredGrid>
|
| 24 |
+
<AppendedData encoding="base64">
|
| 25 |
+
_AQAAAACAAAAgNQAAqwgAAA==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AQAAAACAAAAgNQAAWgMAAA==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eJzt1T1LAgEcwOGIBiH1XiQQBJdwkMOpL2CDObU6CjUo16DggTS0nE0NTg5CnHLc5hYpaE6CREOEUMotLjeFjbfdZrv/j/Cbno/wKM6FN5nGiwoiHujr4eWqlkBEQffpJdidJRFR0Dxq2ifviCgZufXxn6UgomBw2ht1NBURBUvlVqSYiCjZ7Tf0xwUiSobf17dqWkNEwUqy8DpoIqLksJr/VD8QUfL4OZYZZnVEFKxvfu+MNiJK/icyn30homTqZvlj5FKIKHjveOdvD4goufVt62qNiJJ7jC93YA==AQAAAACAAAAgNQAAhxYAAA==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AQAAAACAAAAgNQAAiRYAAA==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AQAAAACAAAAgNQAA6ggAAA==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AQAAAACAAACkBgAAFgAAAA==eJzj5BwFo2AUjIJRMAoGJwAAoOg7xQ==
|
| 26 |
+
</AppendedData>
|
| 27 |
+
</VTKFile>
|
CylinderKnMa/Kn0p34/simulation0744_Kn0p34Ma6p3/Lambda/Lambda_300000.pvtu
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
<?xml version="1.0"?>
|
| 2 |
+
<VTKFile type="PUnstructuredGrid" version="0.1"
|
| 3 |
+
byte_order="LittleEndian"
|
| 4 |
+
compressor="vtkZLibDataCompressor">
|
| 5 |
+
<PUnstructuredGrid GhostLevel="0">
|
| 6 |
+
<PCellData>
|
| 7 |
+
<PDataArray type="Float64" Name="id"/>
|
| 8 |
+
<PDataArray type="Float64" Name="xc"/>
|
| 9 |
+
<PDataArray type="Float64" Name="yc"/>
|
| 10 |
+
<PDataArray type="Float64" Name="c_6[1]"/>
|
| 11 |
+
<PDataArray type="Float64" Name="c_6[2]"/>
|
| 12 |
+
</PCellData>
|
| 13 |
+
<PPoints>
|
| 14 |
+
<PDataArray type="Float32" Name="Points" NumberOfComponents="3"/>
|
| 15 |
+
</PPoints>
|
| 16 |
+
<Piece Source="Lambda_0_300000.vtu"/>
|
| 17 |
+
<Piece Source="Lambda_1_300000.vtu"/>
|
| 18 |
+
<Piece Source="Lambda_2_300000.vtu"/>
|
| 19 |
+
<Piece Source="Lambda_3_300000.vtu"/>
|
| 20 |
+
</PUnstructuredGrid>
|
| 21 |
+
</VTKFile>
|