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 +6 -0
- CylinderKnMa/Kn0p08/simulation0092_Kn0p08Ma6p1/output/grid.300000.dat +3 -0
- CylinderKnMa/Kn0p08/simulation0092_Kn0p08Ma6p1/output/lambdakn.300000.dat +3 -0
- CylinderKnMa/Kn0p08/simulation0093_Kn0p08Ma6p2/Lambda/Lambda_14_300000.vtu +3 -0
- CylinderKnMa/Kn0p08/simulation0093_Kn0p08Ma6p2/grid/Grid_14_300000.vtu +3 -0
- CylinderKnMa/Kn0p08/simulation0093_Kn0p08Ma6p2/output/grid.300000.dat +3 -0
- CylinderKnMa/Kn0p08/simulation0093_Kn0p08Ma6p2/output/lambdakn.300000.dat +3 -0
- CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/Grid.pvd +9 -0
- CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/Lambda.pvd +9 -0
- CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/Lambda/Lambda_0_300000.vtu +0 -0
- CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/Lambda/Lambda_10_300000.vtu +0 -0
- CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/Lambda/Lambda_11_300000.vtu +0 -0
- CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/Lambda/Lambda_12_300000.vtu +27 -0
- CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/Lambda/Lambda_13_300000.vtu +27 -0
- CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/Lambda/Lambda_14_300000.vtu +27 -0
- CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/Lambda/Lambda_15_300000.vtu +27 -0
- CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/Lambda/Lambda_1_300000.vtu +0 -0
- CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/Lambda/Lambda_2_300000.vtu +0 -0
- CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/Lambda/Lambda_300000.pvtu +33 -0
- CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/Lambda/Lambda_3_300000.vtu +0 -0
- CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/Lambda/Lambda_4_300000.vtu +0 -0
- CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/Lambda/Lambda_5_300000.vtu +0 -0
- CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/Lambda/Lambda_6_300000.vtu +0 -0
- CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/Lambda/Lambda_7_300000.vtu +0 -0
- CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/Lambda/Lambda_8_300000.vtu +0 -0
- CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/Lambda/Lambda_9_300000.vtu +0 -0
- CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/Surf.pvd +9 -0
- CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/cylinder.surf +410 -0
- CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/gas.species +14 -0
- CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/gas.vhs +9 -0
- CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/grid/Grid_0_300000.vtu +0 -0
- CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/grid/Grid_10_300000.vtu +0 -0
- CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/grid/Grid_11_300000.vtu +0 -0
- CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/grid/Grid_12_300000.vtu +0 -0
- CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/grid/Grid_13_300000.vtu +0 -0
- CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/grid/Grid_14_300000.vtu +0 -0
- CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/grid/Grid_15_300000.vtu +0 -0
- CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/grid/Grid_1_300000.vtu +0 -0
- CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/grid/Grid_2_300000.vtu +0 -0
- CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/grid/Grid_300000.pvtu +41 -0
- CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/grid/Grid_3_300000.vtu +0 -0
- CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/grid/Grid_4_300000.vtu +0 -0
- CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/grid/Grid_6_300000.vtu +0 -0
- CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/grid/Grid_7_300000.vtu +0 -0
- CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/grid/Grid_8_300000.vtu +0 -0
- CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/grid/Grid_9_300000.vtu +0 -0
- CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/grid/final-grid.dat +0 -0
- CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/log.sparta +319 -0
- CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/mir.txt +3 -0
- CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/output/surf.300000.dat +209 -0
.gitattributes
CHANGED
|
@@ -769,3 +769,9 @@ CylinderKnMa/Kn0p08/simulation0091_Kn0p08Ma6p0/output/grid.300000.dat filter=lfs
|
|
| 769 |
CylinderKnMa/Kn0p08/simulation0091_Kn0p08Ma6p0/output/lambdakn.300000.dat filter=lfs diff=lfs merge=lfs -text
|
| 770 |
CylinderKnMa/Kn0p08/simulation0092_Kn0p08Ma6p1/Grid/Grid_14_300000.vtu filter=lfs diff=lfs merge=lfs -text
|
| 771 |
CylinderKnMa/Kn0p08/simulation0092_Kn0p08Ma6p1/Lambda/Lambda_14_300000.vtu filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 769 |
CylinderKnMa/Kn0p08/simulation0091_Kn0p08Ma6p0/output/lambdakn.300000.dat filter=lfs diff=lfs merge=lfs -text
|
| 770 |
CylinderKnMa/Kn0p08/simulation0092_Kn0p08Ma6p1/Grid/Grid_14_300000.vtu filter=lfs diff=lfs merge=lfs -text
|
| 771 |
CylinderKnMa/Kn0p08/simulation0092_Kn0p08Ma6p1/Lambda/Lambda_14_300000.vtu filter=lfs diff=lfs merge=lfs -text
|
| 772 |
+
CylinderKnMa/Kn0p08/simulation0092_Kn0p08Ma6p1/output/grid.300000.dat filter=lfs diff=lfs merge=lfs -text
|
| 773 |
+
CylinderKnMa/Kn0p08/simulation0092_Kn0p08Ma6p1/output/lambdakn.300000.dat filter=lfs diff=lfs merge=lfs -text
|
| 774 |
+
CylinderKnMa/Kn0p08/simulation0093_Kn0p08Ma6p2/grid/Grid_14_300000.vtu filter=lfs diff=lfs merge=lfs -text
|
| 775 |
+
CylinderKnMa/Kn0p08/simulation0093_Kn0p08Ma6p2/Lambda/Lambda_14_300000.vtu filter=lfs diff=lfs merge=lfs -text
|
| 776 |
+
CylinderKnMa/Kn0p08/simulation0093_Kn0p08Ma6p2/output/grid.300000.dat filter=lfs diff=lfs merge=lfs -text
|
| 777 |
+
CylinderKnMa/Kn0p08/simulation0093_Kn0p08Ma6p2/output/lambdakn.300000.dat filter=lfs diff=lfs merge=lfs -text
|
CylinderKnMa/Kn0p08/simulation0092_Kn0p08Ma6p1/output/grid.300000.dat
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d972a0345ccb536590053c4e28a85f1d50c3f3cbbcf296764a9af301de8894b7
|
| 3 |
+
size 196457643
|
CylinderKnMa/Kn0p08/simulation0092_Kn0p08Ma6p1/output/lambdakn.300000.dat
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d2faf8d6fdaeb2d5f723a99e36eff35651bac6f38295d8f9f33be10cbbab9aa1
|
| 3 |
+
size 72896018
|
CylinderKnMa/Kn0p08/simulation0093_Kn0p08Ma6p2/Lambda/Lambda_14_300000.vtu
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e4ff94e5727a46619aa585c16e72ac874066111c02b8fe78ae93f5a3144a85bf
|
| 3 |
+
size 11008217
|
CylinderKnMa/Kn0p08/simulation0093_Kn0p08Ma6p2/grid/Grid_14_300000.vtu
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1b9bdcda705c390a9eb38d3af840923771e997391ea9f66ed8f16cbf9bc46801
|
| 3 |
+
size 20337586
|
CylinderKnMa/Kn0p08/simulation0093_Kn0p08Ma6p2/output/grid.300000.dat
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8441c71ef83439921f3c8f000797c797a052baacf1a34c12d58b6c504506a1ec
|
| 3 |
+
size 196457643
|
CylinderKnMa/Kn0p08/simulation0093_Kn0p08Ma6p2/output/lambdakn.300000.dat
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ed1d868e226d0c5afe4e49f52de317284d759d448825dd0d518c6fd61724ca6c
|
| 3 |
+
size 72896018
|
CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/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/Kn0p12/simulation0168_Kn0p12Ma3p7/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/Kn0p12/simulation0168_Kn0p12Ma3p7/Lambda/Lambda_0_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/Lambda/Lambda_10_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/Lambda/Lambda_11_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/Lambda/Lambda_12_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="3434" NumberOfCells="3300" >
|
| 5 |
+
<PointData>
|
| 6 |
+
</PointData>
|
| 7 |
+
<CellData>
|
| 8 |
+
<DataArray type="Float64" Name="id" format="appended" RangeMin="109801" RangeMax="121612" offset="0" />
|
| 9 |
+
<DataArray type="Float64" Name="xc" format="appended" RangeMin="-4.985" RangeMax="-2.0096" offset="5088" />
|
| 10 |
+
<DataArray type="Float64" Name="yc" format="appended" RangeMin="4.024" RangeMax="4.985" offset="6360" />
|
| 11 |
+
<DataArray type="Float64" Name="c_6[1]" format="appended" RangeMin="0.0035541" RangeMax="0.0036465" offset="6856" />
|
| 12 |
+
<DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.11825" RangeMax="0.12133" offset="19668" />
|
| 13 |
+
</CellData>
|
| 14 |
+
<Points>
|
| 15 |
+
<DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="4.4777588543" RangeMax="7.0710678119" offset="28600" />
|
| 16 |
+
</Points>
|
| 17 |
+
<Cells>
|
| 18 |
+
<DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="39896" />
|
| 19 |
+
<DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="63808" />
|
| 20 |
+
<DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="69644" />
|
| 21 |
+
</Cells>
|
| 22 |
+
</Piece>
|
| 23 |
+
</UnstructuredGrid>
|
| 24 |
+
<AppendedData encoding="base64">
|
| 25 |
+
_AQAAAACAAAAgZwAA1Q4AAA==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AQAAAACAAAAgZwAAqAMAAA==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eJzt2kErAwAcQPELrRw0xLZkEk0SVy5KO01NbNNykG1lyk5ToxRtF4WDlSlKhlBrceEikdhBTbY2jTblsgk5EIctEXH1/wjv9PsE7/a8riNPQK3s9CLiPw8zc1/ONkSUTNvGe7RWRJTM5xwb1x5ElKxydb/PBxBR0pSpnnTsIaKk26aIaRKIKOnPvdUmXxBRMtp3GtoqLUNEwcf0zsdACyJKKmzLxkojIkrq48OpBxciSjr6zI3rs4go6U13TPSHEFEyONh0oTxHRMl0LG/J3iOiZMGS3V4pKkdEQdVvKPWIKGnuWvXp9Igo6Y7NJO/siCjpt3galryIKBmN6HdHgogo+WRo/a47RkRJRUxjytwioqTOUry58IGIko7IVbNTU4GIgj7DyVRNOyJKrl2G4ykrIkr+bbxjiChZOBsK2xcRUVJl6P1U7yOipPlAO/2cQETJ0Y6Sm81XRJT8AVoWcfk=AQAAAACAAAAgZwAAdSUAAA==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AQAAAACAAAAgZwAAGRoAAA==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BAAAAACAAACAHAAAohUAAJoVAACcFQAAFgUAAA==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AQAAAACAAAAgZwAABxEAAA==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eJztwTENAAAAw6C7/g3PxwIUAADAjwE0gnQF
|
| 26 |
+
</AppendedData>
|
| 27 |
+
</VTKFile>
|
CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/Lambda/Lambda_13_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="3434" NumberOfCells="3300" >
|
| 5 |
+
<PointData>
|
| 6 |
+
</PointData>
|
| 7 |
+
<CellData>
|
| 8 |
+
<DataArray type="Float64" Name="id" format="appended" RangeMin="109901" RangeMax="121712" offset="0" />
|
| 9 |
+
<DataArray type="Float64" Name="xc" format="appended" RangeMin="-1.9795" RangeMax="0.9959" offset="5096" />
|
| 10 |
+
<DataArray type="Float64" Name="yc" format="appended" RangeMin="4.024" RangeMax="4.985" offset="6444" />
|
| 11 |
+
<DataArray type="Float64" Name="c_6[1]" format="appended" RangeMin="0.0035618" RangeMax="0.0036559" offset="6940" />
|
| 12 |
+
<DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.11851" RangeMax="0.12164" offset="19784" />
|
| 13 |
+
</CellData>
|
| 14 |
+
<Points>
|
| 15 |
+
<DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="4.0090237811" RangeMax="5.383137758" offset="28720" />
|
| 16 |
+
</Points>
|
| 17 |
+
<Cells>
|
| 18 |
+
<DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="40284" />
|
| 19 |
+
<DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="64196" />
|
| 20 |
+
<DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="70032" />
|
| 21 |
+
</Cells>
|
| 22 |
+
</Piece>
|
| 23 |
+
</UnstructuredGrid>
|
| 24 |
+
<AppendedData encoding="base64">
|
| 25 |
+
_AQAAAACAAAAgZwAA2w4AAA==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AQAAAACAAAAgZwAA4QMAAA==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eJzt2kErAwAcQPELrRw0xLZkEk0SVy5KO01NbNNykG1lyk5ToxRtF4WDlSlKhlBrceEikdhBTbY2jTblsgk5EIctEXH1/wjv9PsE7/a8riNPQK3s9CLiPw8zc1/ONkSUTNvGe7RWRJTM5xwb1x5ElKxydb/PBxBR0pSpnnTsIaKk26aIaRKIKOnPvdUmXxBRMtp3GtoqLUNEwcf0zsdACyJKKmzLxkojIkrq48OpBxciSjr6zI3rs4go6U13TPSHEFEyONh0oTxHRMl0LG/J3iOiZMGS3V4pKkdEQdVvKPWIKGnuWvXp9Igo6Y7NJO/siCjpt3galryIKBmN6HdHgogo+WRo/a47RkRJRUxjytwioqTOUry58IGIko7IVbNTU4GIgj7DyVRNOyJKrl2G4ykrIkr+bbxjiChZOBsK2xcRUVJl6P1U7yOipPlAO/2cQETJ0Y6Sm81XRJT8AVoWcfk=AQAAAACAAAAgZwAAjSUAAA==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AQAAAACAAAAgZwAAGxoAAA==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AgAAAACAAAD4IAAADhoAAL0HAAA=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BAAAAACAAACAHAAAohUAAJoVAACcFQAAFgUAAA==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AQAAAACAAAAgZwAABxEAAA==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eJztwTENAAAAw6C7/g3PxwIUAADAjwE0gnQF
|
| 26 |
+
</AppendedData>
|
| 27 |
+
</VTKFile>
|
CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/Lambda/Lambda_14_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="3434" NumberOfCells="3300" >
|
| 5 |
+
<PointData>
|
| 6 |
+
</PointData>
|
| 7 |
+
<CellData>
|
| 8 |
+
<DataArray type="Float64" Name="id" format="appended" RangeMin="110001" RangeMax="121812" offset="0" />
|
| 9 |
+
<DataArray type="Float64" Name="xc" format="appended" RangeMin="1.026" RangeMax="4.0014" offset="5080" />
|
| 10 |
+
<DataArray type="Float64" Name="yc" format="appended" RangeMin="4.024" RangeMax="4.985" offset="6400" />
|
| 11 |
+
<DataArray type="Float64" Name="c_6[1]" format="appended" RangeMin="0.0019728" RangeMax="0.0036728" offset="6896" />
|
| 12 |
+
<DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.06564" RangeMax="0.1222" offset="25480" />
|
| 13 |
+
</CellData>
|
| 14 |
+
<Points>
|
| 15 |
+
<DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="4.1345047654" RangeMax="6.4133780525" offset="41192" />
|
| 16 |
+
</Points>
|
| 17 |
+
<Cells>
|
| 18 |
+
<DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="53284" />
|
| 19 |
+
<DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="77196" />
|
| 20 |
+
<DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="83032" />
|
| 21 |
+
</Cells>
|
| 22 |
+
</Piece>
|
| 23 |
+
</UnstructuredGrid>
|
| 24 |
+
<AppendedData encoding="base64">
|
| 25 |
+
_AQAAAACAAAAgZwAA0A4AAA==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eJzt2kErAwAcQPELrRw0xLZkEk0SVy5KO01NbNNykG1lyk5ToxRtF4WDlSlKhlBrceEikdhBTbY2jTblsgk5EIctEXH1/wjv9PsE7/a8riNPQK3s9CLiPw8zc1/ONkSUTNvGe7RWRJTM5xwb1x5ElKxydb/PBxBR0pSpnnTsIaKk26aIaRKIKOnPvdUmXxBRMtp3GtoqLUNEwcf0zsdACyJKKmzLxkojIkrq48OpBxciSjr6zI3rs4go6U13TPSHEFEyONh0oTxHRMl0LG/J3iOiZMGS3V4pKkdEQdVvKPWIKGnuWvXp9Igo6Y7NJO/siCjpt3galryIKBmN6HdHgogo+WRo/a47RkRJRUxjytwioqTOUry58IGIko7IVbNTU4GIgj7DyVRNOyJKrl2G4ykrIkr+bbxjiChZOBsK2xcRUVJl6P1U7yOipPlAO/2cQETJ0Y6Sm81XRJT8AVoWcfk=AQAAAACAAAAgZwAAYDYAAA==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AgAAAACAAAD4IAAAZRsAAPEHAAA=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BAAAAACAAACAHAAAohUAAJoVAACcFQAAFgUAAA==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AQAAAACAAAAgZwAABxEAAA==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eJztwTENAAAAw6C7/g3PxwIUAADAjwE0gnQF
|
| 26 |
+
</AppendedData>
|
| 27 |
+
</VTKFile>
|
CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/Lambda/Lambda_15_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="2278" NumberOfCells="2178" >
|
| 5 |
+
<PointData>
|
| 6 |
+
</PointData>
|
| 7 |
+
<CellData>
|
| 8 |
+
<DataArray type="Float64" Name="id" format="appended" RangeMin="110101" RangeMax="121878" offset="0" />
|
| 9 |
+
<DataArray type="Float64" Name="xc" format="appended" RangeMin="4.0314" RangeMax="5.985" offset="3448" />
|
| 10 |
+
<DataArray type="Float64" Name="yc" format="appended" RangeMin="4.024" RangeMax="4.985" offset="4348" />
|
| 11 |
+
<DataArray type="Float64" Name="c_6[1]" format="appended" RangeMin="0.0020269" RangeMax="0.0034395" offset="4812" />
|
| 12 |
+
<DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.06744" RangeMax="0.11444" offset="24648" />
|
| 13 |
+
</CellData>
|
| 14 |
+
<Points>
|
| 15 |
+
<DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="5.6748189645" RangeMax="7.8102496759" offset="44136" />
|
| 16 |
+
</Points>
|
| 17 |
+
<Cells>
|
| 18 |
+
<DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="50792" />
|
| 19 |
+
<DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="66184" />
|
| 20 |
+
<DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="70084" />
|
| 21 |
+
</Cells>
|
| 22 |
+
</Piece>
|
| 23 |
+
</UnstructuredGrid>
|
| 24 |
+
<AppendedData encoding="base64">
|
| 25 |
+
_AQAAAACAAAAQRAAABgoAAA==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AQAAAACAAAAQRAAAjwIAAA==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AQAAAACAAAAQRAAASQEAAA==eJzt2U8rwwEcgPELrRw0xLZkEpHElctKO01NbD8tB5mVKTtNjVK0XRQOVqYoGUJpceEikdhBTSY02pTLJuRAHKZF/vy+b+M5fd7Ac3v8ngNfSK9t9SP+uZ+a/nY3I4pJ50iH0YEoZjOu1Rsfoljmaf+YCSGKtlT5mGsHUfQ6NXHDJaIYzLxXXr0iirGu4831wiJE1afkVq6nEVHUOBespVZE0XwxkHj0IIquLnvdyhSi6E+aRrs3EcVwb/2Z9hRRTMazSvoBUfxU0huLecWIqrr/MKoRRXvbUqDWjCh645NX932IYlDx1cz7EcVY1Lw9GEYUny1NP1WHiKImbrCl7hDFWiV/bTaHKLqi1w1uQwmiasByNF7Rgigun0cuEg5EUd2cw4ji50l/pG8OUdRZOr/0u4iifc848XKJKA6ZCm7X3hDFX6QXVXY=AQAAAACAAAAQRAAACToAAA==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AQAAAACAAAAQRAAABDkAAA==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AQAAAACAAADIagAAbhMAAA==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AQAAAACAAAAQRAAAWQsAAA==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AQAAAACAAACCCAAAGQAAAA==eJzj5BwFo2AUjIJRMApGwSigNwAA+uhMkw==
|
| 26 |
+
</AppendedData>
|
| 27 |
+
</VTKFile>
|
CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/Lambda/Lambda_1_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/Lambda/Lambda_2_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/Lambda/Lambda_300000.pvtu
ADDED
|
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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 |
+
<Piece Source="Lambda_4_300000.vtu"/>
|
| 21 |
+
<Piece Source="Lambda_5_300000.vtu"/>
|
| 22 |
+
<Piece Source="Lambda_6_300000.vtu"/>
|
| 23 |
+
<Piece Source="Lambda_7_300000.vtu"/>
|
| 24 |
+
<Piece Source="Lambda_8_300000.vtu"/>
|
| 25 |
+
<Piece Source="Lambda_9_300000.vtu"/>
|
| 26 |
+
<Piece Source="Lambda_10_300000.vtu"/>
|
| 27 |
+
<Piece Source="Lambda_11_300000.vtu"/>
|
| 28 |
+
<Piece Source="Lambda_12_300000.vtu"/>
|
| 29 |
+
<Piece Source="Lambda_13_300000.vtu"/>
|
| 30 |
+
<Piece Source="Lambda_14_300000.vtu"/>
|
| 31 |
+
<Piece Source="Lambda_15_300000.vtu"/>
|
| 32 |
+
</PUnstructuredGrid>
|
| 33 |
+
</VTKFile>
|
CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/Lambda/Lambda_3_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/Lambda/Lambda_4_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/Lambda/Lambda_5_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/Lambda/Lambda_6_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/Lambda/Lambda_7_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/Lambda/Lambda_8_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/Lambda/Lambda_9_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/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/Kn0p12/simulation0168_Kn0p12Ma3p7/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/Kn0p12/simulation0168_Kn0p12Ma3p7/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/Kn0p12/simulation0168_Kn0p12Ma3p7/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/Kn0p12/simulation0168_Kn0p12Ma3p7/grid/Grid_0_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/grid/Grid_10_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/grid/Grid_11_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/grid/Grid_12_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/grid/Grid_13_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/grid/Grid_14_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/grid/Grid_15_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/grid/Grid_1_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/grid/Grid_2_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/grid/Grid_300000.pvtu
ADDED
|
@@ -0,0 +1,41 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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 |
+
<Piece Source="Grid_4_300000.vtu"/>
|
| 29 |
+
<Piece Source="Grid_5_300000.vtu"/>
|
| 30 |
+
<Piece Source="Grid_6_300000.vtu"/>
|
| 31 |
+
<Piece Source="Grid_7_300000.vtu"/>
|
| 32 |
+
<Piece Source="Grid_8_300000.vtu"/>
|
| 33 |
+
<Piece Source="Grid_9_300000.vtu"/>
|
| 34 |
+
<Piece Source="Grid_10_300000.vtu"/>
|
| 35 |
+
<Piece Source="Grid_11_300000.vtu"/>
|
| 36 |
+
<Piece Source="Grid_12_300000.vtu"/>
|
| 37 |
+
<Piece Source="Grid_13_300000.vtu"/>
|
| 38 |
+
<Piece Source="Grid_14_300000.vtu"/>
|
| 39 |
+
<Piece Source="Grid_15_300000.vtu"/>
|
| 40 |
+
</PUnstructuredGrid>
|
| 41 |
+
</VTKFile>
|
CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/grid/Grid_3_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/grid/Grid_4_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/grid/Grid_6_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/grid/Grid_7_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/grid/Grid_8_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/grid/Grid_9_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/grid/final-grid.dat
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/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 0.12
|
| 17 |
+
variable Ma equal 3.7
|
| 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 0.12*${L}
|
| 23 |
+
variable mfp equal 0.12*1
|
| 24 |
+
variable cpmfp equal 4
|
| 25 |
+
variable nden equal 1.0/sqrt(2.0)/${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}*${Kn})
|
| 29 |
+
variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.12/${cpmfp}*${Kn})
|
| 30 |
+
variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.12/4*${Kn})
|
| 31 |
+
variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.12/4*0.12)
|
| 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 3.7*${sos}
|
| 38 |
+
variable vo equal 3.7*307.815564238681
|
| 39 |
+
variable vx equal ${vo}*cos(${theta}*2*PI/360)
|
| 40 |
+
variable vx equal 1138.91758768312*cos(${theta}*2*PI/360)
|
| 41 |
+
variable vx equal 1138.91758768312*cos(0*2*PI/360)
|
| 42 |
+
variable vy equal ${vo}*sin(${theta}*2*PI/360)
|
| 43 |
+
variable vy equal 1138.91758768312*sin(${theta}*2*PI/360)
|
| 44 |
+
variable vy equal 1138.91758768312*sin(0*2*PI/360)
|
| 45 |
+
variable ppc equal 30
|
| 46 |
+
variable xncells equal (${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)/0.12*${cpmfp}
|
| 50 |
+
variable xncells equal (6--5)/0.12*4
|
| 51 |
+
variable yncells equal (${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)/0.12*${cpmfp}
|
| 55 |
+
variable yncells equal (5--5)/0.12*4
|
| 56 |
+
variable Fnum equal ${nden}*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
|
| 57 |
+
variable Fnum equal 3.59551014725462e+20*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
|
| 58 |
+
variable Fnum equal 3.59551014725462e+20*(6-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
|
| 59 |
+
variable Fnum equal 3.59551014725462e+20*(6--5)*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
|
| 60 |
+
variable Fnum equal 3.59551014725462e+20*(6--5)*(5-${ymin})/${ppc}/${xncells}/${yncells}
|
| 61 |
+
variable Fnum equal 3.59551014725462e+20*(6--5)*(5--5)/${ppc}/${xncells}/${yncells}
|
| 62 |
+
variable Fnum equal 3.59551014725462e+20*(6--5)*(5--5)/30/${xncells}/${yncells}
|
| 63 |
+
variable Fnum equal 3.59551014725462e+20*(6--5)*(5--5)/30/366.666666666667/${yncells}
|
| 64 |
+
variable Fnum equal 3.59551014725462e+20*(6--5)*(5--5)/30/366.666666666667/333.333333333333
|
| 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}/${xncells}/10/4
|
| 68 |
+
variable tstep equal (--5+6)/1138.91758768312/${xncells}/10/4
|
| 69 |
+
variable tstep equal (--5+6)/1138.91758768312/366.666666666667/10/4
|
| 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 3.59551014725462e+20
|
| 81 |
+
global fnum ${Fnum}
|
| 82 |
+
global fnum 1.07865304417639e+16
|
| 83 |
+
timestep ${tstep}
|
| 84 |
+
timestep 6.58519991359262e-07
|
| 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 366.666666666667 ${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 366.666666666667 333.333333333333 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 528090 child grid cells
|
| 100 |
+
CPU time = 0.427224 secs
|
| 101 |
+
create/ghost percent = 0.693639 99.3064
|
| 102 |
+
balance_grid rcb cell
|
| 103 |
+
Balance grid migrated 527129 cells
|
| 104 |
+
CPU time = 0.373584 secs
|
| 105 |
+
reassign/sort/migrate/ghost percent = 18.6243 0.037742 18.429 62.909
|
| 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 1138.91758768312 ${vy} 0.0 temp ${To}
|
| 110 |
+
mixture air Ar vstream 1138.91758768312 0 0.0 temp ${To}
|
| 111 |
+
mixture air Ar vstream 1138.91758768312 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 |
+
1068 0 = cells overlapping surfs, overlap cells with unmarked corner pts
|
| 121 |
+
471864 55158 1068 = cells outside/inside/overlapping surfs
|
| 122 |
+
1068 = surf cells with 1,2,etc splits
|
| 123 |
+
109.215 109.215 = cell-wise and global flow volume
|
| 124 |
+
CPU time = 0.368376 secs
|
| 125 |
+
read/check/sort/surf2grid/ghost/inout/particle percent = 10.0758 7.76642 1.09341 14.3923 66.6721 1.91329 0.0404934
|
| 126 |
+
surf2grid time = 0.0530179 secs
|
| 127 |
+
map/comm1/comm2/comm3/comm4/split percent = 28.847 18.3734 12.9888 1.47209 5.49212 3.21338
|
| 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 4498 cells
|
| 133 |
+
CPU time = 0.253814 secs
|
| 134 |
+
reassign/sort/migrate/ghost percent = 1.97317 0.0351749 3.75725 94.2344
|
| 135 |
+
create_particles air n 0
|
| 136 |
+
WARNING: Created unexpected # of particles: 3640487 versus 3640491 (../create_particles.cpp:346)
|
| 137 |
+
Created 3640487 particles
|
| 138 |
+
CPU time = 0.0536803 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) = 3.82324 0 13.5
|
| 144 |
+
grid (ave,min,max) = 18.2252 2.45129 34.8263
|
| 145 |
+
surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
|
| 146 |
+
total (ave,min,max) = 22.0691 9.59689 43.2844
|
| 147 |
+
Step CPU Np Natt Ncoll Nscoll Npave Nscollave
|
| 148 |
+
0 0 3640487 0 0 0 0 0
|
| 149 |
+
10000 124.97525 3689564 191438 159803 34 3647549.6 37.0558
|
| 150 |
+
20000 326.64471 3934110 219041 185466 44 3742904.7 37.2938
|
| 151 |
+
30000 556.46728 3985893 223736 189560 41 3817547.6 37.3881
|
| 152 |
+
40000 788.86226 3998508 225465 191302 35 3861524.5 37.497725
|
| 153 |
+
50000 1021.5175 3999055 224745 191051 46 3889079.8 37.56828
|
| 154 |
+
60000 1254.1925 3999604 225125 191000 29 3907302.8 37.625433
|
| 155 |
+
70000 1486.8707 4001268 225059 191151 58 3920596.7 37.663214
|
| 156 |
+
80000 1719.3455 4000093 224639 190789 35 3930586.5 37.694
|
| 157 |
+
90000 1951.5412 4000915 225589 191416 40 3938308.5 37.728878
|
| 158 |
+
100000 2183.9051 4002223 225234 191094 27 3944768.4 37.74494
|
| 159 |
+
110000 2417.2823 4001702 225409 191283 41 3950001.2 37.774864
|
| 160 |
+
120000 2649.3267 4001758 225066 190959 27 3954332.5 37.791367
|
| 161 |
+
130000 2881.5294 3999336 224907 190891 43 3957937.3 37.800808
|
| 162 |
+
140000 3114.3397 3999824 224997 191320 53 3960876.4 37.816221
|
| 163 |
+
150000 3347.3325 4001006 224641 190633 35 3963573.1 37.825913
|
| 164 |
+
160000 3574.4454 4002248 224887 190810 43 3965975.4 37.833994
|
| 165 |
+
170000 3798.5499 4000781 225085 190844 40 3968129.1 37.843482
|
| 166 |
+
180000 4022.3112 4002715 225141 191267 42 3969973.5 37.849328
|
| 167 |
+
190000 4248.1286 3999819 224858 190469 25 3971638.7 37.854363
|
| 168 |
+
200000 4471.9681 4002354 225004 191223 37 3973095.4 37.862765
|
| 169 |
+
Loop time of 4471.98 on 128 procs for 200000 steps with 4002354 particles
|
| 170 |
+
|
| 171 |
+
MPI task timing breakdown:
|
| 172 |
+
Section | min time | avg time | max time |%varavg| %total
|
| 173 |
+
---------------------------------------------------------------
|
| 174 |
+
Move | 0.033588 | 139.12 | 752.63 |1349.3 | 3.11
|
| 175 |
+
Coll | 2.5888 | 323.83 | 2922.9 |2926.4 | 7.24
|
| 176 |
+
Sort | 1.2925 | 97.904 | 492.24 |1222.4 | 2.19
|
| 177 |
+
Comm | 151.95 | 194.59 | 213.17 | 95.6 | 4.35
|
| 178 |
+
Modify | 0.033708 | 0.75426 | 12.244 | 199.9 | 0.02
|
| 179 |
+
Output | 0.023299 | 0.27814 | 0.31606 | 10.5 | 0.01
|
| 180 |
+
Other | | 3716 | | | 83.08
|
| 181 |
+
|
| 182 |
+
Particle moves = 794619076742 (795B)
|
| 183 |
+
Cells touched = 831571886745 (832B)
|
| 184 |
+
Particle comms = 577930679 (578M)
|
| 185 |
+
Boundary collides = 0 (0K)
|
| 186 |
+
Boundary exits = 58823418 (58.8M)
|
| 187 |
+
SurfColl checks = 316548043 (317M)
|
| 188 |
+
SurfColl occurs = 7572553 (7.57M)
|
| 189 |
+
Surf reactions = 0 (0K)
|
| 190 |
+
Collide attempts = 51801344081 (51.8B)
|
| 191 |
+
Collide occurs = 38903612111 (38.9B)
|
| 192 |
+
Reactions = 0 (0K)
|
| 193 |
+
Particles stuck = 0
|
| 194 |
+
Axisymm bad moves = 0
|
| 195 |
+
|
| 196 |
+
Particle-moves/CPUsec/proc: 1.38819e+06
|
| 197 |
+
Particle-moves/step: 3.9731e+06
|
| 198 |
+
Cell-touches/particle/step: 1.0465
|
| 199 |
+
Particle comm iterations/step: 1
|
| 200 |
+
Particle fraction communicated: 0.000727305
|
| 201 |
+
Particle fraction colliding with boundary: 0
|
| 202 |
+
Particle fraction exiting boundary: 7.40272e-05
|
| 203 |
+
Surface-checks/particle/step: 0.000398365
|
| 204 |
+
Surface-collisions/particle/step: 9.52979e-06
|
| 205 |
+
Surf-reactions/particle/step: 0
|
| 206 |
+
Collision-attempts/particle/step: 0.0651902
|
| 207 |
+
Collisions/particle/step: 0.0489588
|
| 208 |
+
Reactions/particle/step: 0
|
| 209 |
+
|
| 210 |
+
Particles: 31268.4 ave 198750 max 0 min
|
| 211 |
+
Histogram: 84 14 4 8 8 4 2 0 0 4
|
| 212 |
+
Cells: 4125.7 ave 4126 max 4125 min
|
| 213 |
+
Histogram: 38 0 0 0 0 0 0 0 0 90
|
| 214 |
+
GhostCell: 105920 ave 194636 max 5730 min
|
| 215 |
+
Histogram: 24 7 11 10 18 2 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) = 4.3374 0 21.9375
|
| 246 |
+
grid (ave,min,max) = 18.2252 2.45129 34.8263
|
| 247 |
+
surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
|
| 248 |
+
total (ave,min,max) = 23.9685 10.982 44.6695
|
| 249 |
+
Step CPU Np Natt Ncoll Nscoll Npave Nscollave
|
| 250 |
+
200000 0 4002354 225004 191223 0 0 0
|
| 251 |
+
210000 345.03528 4001692 225196 191051 22 4002565.7 38.0022
|
| 252 |
+
220000 689.7467 4001876 225280 191206 46 4002094.2 37.9624
|
| 253 |
+
230000 1034.7157 4000237 224801 190501 36 4001696.2 37.927267
|
| 254 |
+
240000 1379.687 4000971 224821 190650 41 4001404 37.9451
|
| 255 |
+
250000 1725.0638 4002254 225084 191051 47 4001538.9 37.94358
|
| 256 |
+
260000 2070.2974 3999596 225289 191229 26 4001372.9 37.930417
|
| 257 |
+
270000 2417.2332 4002168 225412 191171 35 4001367.2 37.929943
|
| 258 |
+
280000 2762.7726 4000763 225515 191498 44 4001356.8 37.933912
|
| 259 |
+
290000 3106.6159 3998153 224639 190891 39 4001166.4 37.928233
|
| 260 |
+
300000 3452.5817 4002831 225459 191279 35 4001238 37.92578
|
| 261 |
+
Loop time of 3452.58 on 128 procs for 100000 steps with 4002831 particles
|
| 262 |
+
|
| 263 |
+
MPI task timing breakdown:
|
| 264 |
+
Section | min time | avg time | max time |%varavg| %total
|
| 265 |
+
---------------------------------------------------------------
|
| 266 |
+
Move | 0.029653 | 71.624 | 380.78 | 938.8 | 2.07
|
| 267 |
+
Coll | 1.4937 | 176.15 | 1693.2 |2176.3 | 5.10
|
| 268 |
+
Sort | 6.0875 | 59.531 | 269.57 | 851.4 | 1.72
|
| 269 |
+
Comm | 83.587 | 109.11 | 119.92 | 71.8 | 3.16
|
| 270 |
+
Modify | 32.017 | 191.48 | 930.21 |1567.7 | 5.55
|
| 271 |
+
Output | 0.19857 | 0.20007 | 0.20416 | 0.3 | 0.01
|
| 272 |
+
Other | | 2844 | | | 82.39
|
| 273 |
+
|
| 274 |
+
Particle moves = 400123796809 (400B)
|
| 275 |
+
Cells touched = 418690084069 (419B)
|
| 276 |
+
Particle comms = 290224231 (290M)
|
| 277 |
+
Boundary collides = 0 (0K)
|
| 278 |
+
Boundary exits = 29592043 (29.6M)
|
| 279 |
+
SurfColl checks = 158949952 (159M)
|
| 280 |
+
SurfColl occurs = 3792578 (3.79M)
|
| 281 |
+
Surf reactions = 0 (0K)
|
| 282 |
+
Collide attempts = 26401407770 (26.4B)
|
| 283 |
+
Collide occurs = 19817187446 (19.8B)
|
| 284 |
+
Reactions = 0 (0K)
|
| 285 |
+
Particles stuck = 0
|
| 286 |
+
Axisymm bad moves = 0
|
| 287 |
+
|
| 288 |
+
Particle-moves/CPUsec/proc: 905400
|
| 289 |
+
Particle-moves/step: 4.00124e+06
|
| 290 |
+
Cell-touches/particle/step: 1.0464
|
| 291 |
+
Particle comm iterations/step: 1
|
| 292 |
+
Particle fraction communicated: 0.000725336
|
| 293 |
+
Particle fraction colliding with boundary: 0
|
| 294 |
+
Particle fraction exiting boundary: 7.39572e-05
|
| 295 |
+
Surface-checks/particle/step: 0.000397252
|
| 296 |
+
Surface-collisions/particle/step: 9.47851e-06
|
| 297 |
+
Surf-reactions/particle/step: 0
|
| 298 |
+
Collision-attempts/particle/step: 0.0659831
|
| 299 |
+
Collisions/particle/step: 0.0495276
|
| 300 |
+
Reactions/particle/step: 0
|
| 301 |
+
|
| 302 |
+
Particles: 31272.1 ave 198531 max 0 min
|
| 303 |
+
Histogram: 84 14 4 8 8 4 2 0 0 4
|
| 304 |
+
Cells: 4125.7 ave 4126 max 4125 min
|
| 305 |
+
Histogram: 38 0 0 0 0 0 0 0 0 90
|
| 306 |
+
GhostCell: 105920 ave 194636 max 5730 min
|
| 307 |
+
Histogram: 24 7 11 10 18 2 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 = 528090
|
| 316 |
+
CPU time = 0.0677809 secs
|
| 317 |
+
write_surf surf/geom.surf
|
| 318 |
+
surf elements = 200
|
| 319 |
+
CPU time = 0.00650021 secs
|
CylinderKnMa/Kn0p12/simulation0168_Kn0p12Ma3p7/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/Kn0p12/simulation0168_Kn0p12Ma3p7/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 0.01814 0.78566 -0.78556 0.012341 8.1692e-05 0.0052002 -0.012338 0.00027552 36.59 0 0
|
| 11 |
+
129 -0.31871 0.38526 -0.30645 0.39508 0.30479 13.775 8.6127 -10.75 1.1111 0.89014 0.15273 -0.15488 1073.5 0 0
|
| 12 |
+
2 0.49975 -0.015705 0.49901 -0.031395 0.01893 0.81639 -0.81549 0.038457 -0.00082572 -0.017509 -0.012822 0.00032904 37.973 0 0
|
| 13 |
+
130 -0.30645 0.39508 -0.29389 0.40451 0.29161 13.146 7.8933 -10.513 1.1356 0.85263 0.14182 -0.15174 998.34 0 0
|
| 14 |
+
3 0.49901 -0.031395 0.49778 -0.047054 0.01965 0.85849 -0.85584 0.067356 -0.0017269 -0.021943 -0.01347 0.00071332 45.453 0 0
|
| 15 |
+
131 -0.29389 0.40451 -0.28104 0.41354 0.27475 12.385 7.1216 -10.133 1.1843 0.83234 0.13046 -0.14609 983.69 0 0
|
| 16 |
+
4 0.49778 -0.047054 0.49606 -0.062667 0.01889 0.83441 -0.82937 0.091563 -0.0041887 -0.037941 -0.013093 0.00084226 42.16 0 0
|
| 17 |
+
132 -0.28104 0.41354 -0.26791 0.42216 0.25735 11.648 6.395 -9.7354 1.2445 0.81748 0.12 -0.14008 888.25 0 0
|
| 18 |
+
5 0.49606 -0.062667 0.49384 -0.078217 0.01825 0.79863 -0.79067 0.11253 -0.0045078 -0.031674 -0.01249 0.00127 40.859 0 0
|
| 19 |
+
133 -0.26791 0.42216 -0.25452 0.43037 0.24703 11.126 5.8134 -9.4866 1.1786 0.72227 0.10983 -0.13766 868.18 0 0
|
| 20 |
+
6 0.49384 -0.078217 0.49114 -0.093691 0.01771 0.78735 -0.77563 0.13537 -0.0041434 -0.023741 -0.012248 0.0017534 40.003 0 0
|
| 21 |
+
134 -0.25452 0.43037 -0.24088 0.43815 0.23071 10.421 5.1633 -9.0523 1.1639 0.66386 0.099383 -0.13176 819.29 0 0
|
| 22 |
+
7 0.49114 -0.093691 0.48796 -0.10907 0.01781 0.77689 -0.76075 0.15754 -0.0017462 -0.008432 -0.011977 0.0023421 38.58 0 0
|
| 23 |
+
135 -0.24088 0.43815 -0.227 0.4455 0.22047 9.9309 4.647 -8.7766 1.228 0.65018 0.09228 -0.12764 777.84 0 0
|
| 24 |
+
8 0.48796 -0.10907 0.48429 -0.12434 0.01722 0.75008 -0.72936 0.1751 -0.005707 -0.023771 -0.011546 0.002377 31.707 0 0
|
| 25 |
+
136 -0.227 0.4455 -0.21289 0.45241 0.20689 9.3216 4.1009 -8.3711 1.1598 0.56819 0.082633 -0.12256 711.19 0 0
|
| 26 |
+
9 0.48429 -0.12434 0.48015 -0.1395 0.01728 0.74773 -0.72123 0.19731 -0.002167 -0.0079213 -0.011363 0.0029747 32.005 0 0
|
| 27 |
+
137 -0.21289 0.45241 -0.19857 0.45888 0.19174 8.6655 3.566 -7.8978 1.1517 0.52001 0.074102 -0.11589 686.26 0 0
|
| 28 |
+
10 0.48015 -0.1395 0.47553 -0.15451 0.01657 0.7276 -0.69544 0.21394 -0.012429 -0.040403 -0.011119 0.0027259 28.973 0 0
|
| 29 |
+
138 -0.19857 0.45888 -0.18406 0.46489 0.18135 8.2008 3.1383 -7.5766 1.1361 0.47061 0.06714 -0.11162 647.64 0 0
|
| 30 |
+
11 0.47553 -0.15451 0.47044 -0.16937 0.01629 0.70944 -0.67119 0.2298 -0.0038053 -0.011115 -0.010602 0.0034349 32.561 0 0
|
| 31 |
+
139 -0.18406 0.46489 -0.16937 0.47044 0.16985 7.6547 2.7057 -7.1605 1.162 0.43907 0.060751 -0.10558 612.91 0 0
|
| 32 |
+
12 0.47044 -0.16937 0.46489 -0.18406 0.01598 0.6944 -0.64957 0.24545 -0.0025748 -0.0068141 -0.010243 0.0037484 31.004 0 0
|
| 33 |
+
140 -0.16937 0.47044 -0.15451 0.47553 0.15837 7.1237 2.3075 -6.7396 1.1103 0.38014 0.053684 -0.09989 572.55 0 0
|
| 34 |
+
13 0.46489 -0.18406 0.45888 -0.19857 0.01518 0.66875 -0.61785 0.25592 -0.0083962 -0.02027 -0.0098366 0.0037014 32.886 0 0
|
| 35 |
+
141 -0.15451 0.47553 -0.1395 0.48015 0.14795 6.6801 1.9642 -6.3848 1.1107 0.34169 0.048299 -0.094922 540.85 0 0
|
| 36 |
+
14 0.45888 -0.19857 0.45241 -0.21289 0.01398 0.60946 -0.55546 0.2508 -0.0021187 -0.0046924 -0.0087581 0.0038657 33.107 0 0
|
| 37 |
+
142 -0.1395 0.48015 -0.12434 0.48429 0.13775 6.1666 1.6272 -5.948 1.0451 0.28591 0.041975 -0.088937 502.54 0 0
|
| 38 |
+
15 0.45241 -0.21289 0.4455 -0.227 0.01413 0.62641 -0.56254 0.27558 0.0062649 0.012788 -0.0087375 0.0045295 39.342 0 0
|
| 39 |
+
143 -0.12434 0.48429 -0.10907 0.48796 0.13006 5.8708 1.3705 -5.7086 1.0838 0.26019 0.03855 -0.08558 484.65 0 0
|
| 40 |
+
16 0.4455 -0.227 0.43815 -0.24088 0.01318 0.57233 -0.5058 0.26781 0.0095589 0.018054 -0.0077947 0.0044901 31.488 0 0
|
| 41 |
+
144 -0.10907 0.48796 -0.093691 0.49114 0.11658 5.2418 1.063 -5.1329 0.96963 0.2008 0.031927 -0.07747 426.49 0 0
|
| 42 |
+
17 0.43815 -0.24088 0.43037 -0.25452 0.01251 0.54629 -0.47453 0.27066 0.013602 0.023848 -0.0072399 0.004626 31.232 0 0
|
| 43 |
+
145 -0.093691 0.49114 -0.078217 0.49384 0.10926 4.8668 0.83675 -4.7944 0.92678 0.16175 0.0277 -0.072766 383.95 0 0
|
| 44 |
+
18 0.43037 -0.25452 0.42216 -0.26791 0.01169 0.50442 -0.43009 0.26356 0.017471 0.02851 -0.0064811 0.0045876 23.59 0 0
|
| 45 |
+
146 -0.078217 0.49384 -0.062667 0.49606 0.10308 4.646 0.65462 -4.5996 0.92356 0.13144 0.024789 -0.070183 393.37 0 0
|
| 46 |
+
19 0.42216 -0.26791 0.41354 -0.28104 0.01139 0.478 -0.39951 0.26243 0.024045 0.036604 -0.0058976 0.0046971 26.883 0 0
|
| 47 |
+
147 -0.062667 0.49606 -0.047054 0.49778 0.09418 4.2241 0.46353 -4.1986 0.87544 0.096649 0.021032 -0.06443 351.14 0 0
|
| 48 |
+
20 0.41354 -0.28104 0.40451 -0.29389 0.01014 0.43218 -0.35359 0.24851 0.0358 0.050938 -0.0049917 0.0047035 31.323 0 0
|
| 49 |
+
148 -0.047054 0.49778 -0.031395 0.49901 0.08893 3.9895 0.31301 -3.9772 0.8504 0.066928 0.018274 -0.06142 335.2 0 0
|
| 50 |
+
21 0.40451 -0.29389 0.39508 -0.30645 0.00978 0.4122 -0.32963 0.24749 0.048408 0.064474 -0.0044172 0.0049002 32.234 0 0
|
| 51 |
+
149 -0.031395 0.49901 -0.015705 0.49975 0.08186 3.649 0.17189 -3.645 0.82165 0.038748 0.015606 -0.056644 301.78 0 0
|
| 52 |
+
22 0.39508 -0.30645 0.38526 -0.31871 0.00905 0.37875 -0.29559 0.23681 0.049102 0.06129 -0.0038716 0.0046823 30.19 0 0
|
| 53 |
+
150 -0.015705 0.49975 0 0.5 0.07378 3.3063 0.051934 -3.3059 0.76306 0.011987 0.012801 -0.051739 267.21 0 0
|
| 54 |
+
23 0.38526 -0.31871 0.37506 -0.33066 0.00861 0.36417 -0.27692 0.23651 0.060846 0.071242 -0.0033939 0.004834 29.366 0 0
|
| 55 |
+
151 0 0.5 0.015705 0.49975 0.06925 3.0578 -0.04803 -3.0574 0.75599 -0.011876 0.01112 -0.048211 247.94 0 0
|
| 56 |
+
24 0.37506 -0.33066 0.36448 -0.34227 0.00793 0.3275 -0.24223 0.22041 0.063911 0.070237 -0.0028009 0.0045653 24.808 0 0
|
| 57 |
+
152 0.015705 0.49975 0.031395 0.49901 0.06267 2.8043 -0.1321 -2.8012 0.71838 -0.033878 0.0092089 -0.044531 238.48 0 0
|
| 58 |
+
25 0.36448 -0.34227 0.35355 -0.35355 0.00821 0.33565 -0.24104 0.23359 0.085552 0.088283 -0.0024423 0.0050557 31.978 0 0
|
| 59 |
+
153 0.031395 0.49901 0.047054 0.49778 0.05757 2.5524 -0.20026 -2.5445 0.69103 -0.054385 0.0077087 -0.040822 208.17 0 0
|
| 60 |
+
26 0.35355 -0.35355 0.34227 -0.36448 0.0081 0.33495 -0.23309 0.24053 0.097984 0.094953 -0.0021222 0.0052696 28.697 0 0
|
| 61 |
+
154 0.047054 0.49778 0.062667 0.49606 0.05349 2.3576 -0.25871 -2.3434 0.61776 -0.068202 0.0056398 -0.037879 194.75 0 0
|
| 62 |
+
27 0.34227 -0.36448 0.33066 -0.37506 0.00914 0.37927 -0.25525 0.28052 0.11645 0.10596 -0.0021803 0.0060705 36.534 0 0
|
| 63 |
+
155 0.062667 0.49606 0.078217 0.49384 0.04811 2.1317 -0.30036 -2.1105 0.60455 -0.086041 0.0047781 -0.034501 196.68 0 0
|
| 64 |
+
28 0.33066 -0.37506 0.31871 -0.38526 0.00934 0.38458 -0.24976 0.29243 0.13997 0.11955 -0.0017245 0.0064711 34.182 0 0
|
| 65 |
+
156 0.078217 0.49384 0.093691 0.49114 0.04369 1.9395 -0.33346 -1.9106 0.58916 -0.10282 0.0040163 -0.031626 166.2 0 0
|
| 66 |
+
29 0.31871 -0.38526 0.30645 -0.39508 0.00962 0.40059 -0.25047 0.31263 0.15145 0.12133 -0.0015553 0.0068164 42.97 0 0
|
| 67 |
+
157 0.093691 0.49114 0.10907 0.48796 0.03909 1.7319 -0.35121 -1.6959 0.54416 -0.11269 0.0030307 -0.028409 163.41 0 0
|
| 68 |
+
30 0.30645 -0.39508 0.29389 -0.40451 0.01076 0.44168 -0.26519 0.3532 0.17034 0.1279 -0.0014898 0.0075568 50.298 0 0
|
| 69 |
+
158 0.10907 0.48796 0.12434 0.48429 0.03688 1.6218 -0.37861 -1.577 0.49923 -0.11986 0.0018947 -0.026653 141.11 0 0
|
| 70 |
+
31 0.29389 -0.40451 0.28104 -0.41354 0.01134 0.47566 -0.2735 0.38916 0.17731 0.12462 -0.0015109 0.00807 44.062 0 0
|
| 71 |
+
159 0.12434 0.48429 0.1395 0.48015 0.03379 1.4878 -0.3926 -1.4351 0.47416 -0.12972 0.0012811 -0.024579 129.61 0 0
|
| 72 |
+
32 0.28104 -0.41354 0.26791 -0.42216 0.01279 0.53744 -0.29507 0.44919 0.20903 0.13731 -0.0013514 0.0092124 56.379 0 0
|
| 73 |
+
160 0.1395 0.48015 0.15451 0.47553 0.0308 1.3545 -0.39827 -1.2946 0.45893 -0.14118 0.00095272 -0.022552 136.19 0 0
|
| 74 |
+
33 0.26791 -0.42216 0.25452 -0.43037 0.01407 0.58819 -0.30733 0.50151 0.23517 0.14411 -0.0011334 0.010141 57.833 0 0
|
| 75 |
+
161 0.15451 0.47553 0.16937 0.47044 0.0281 1.2146 -0.39344 -1.1491 0.40733 -0.13946 0.00021819 -0.020241 115.74 0 0
|
| 76 |
+
34 0.25452 -0.43037 0.24088 -0.43815 0.01473 0.61981 -0.30709 0.53839 0.2444 0.1394 -0.00098468 0.010646 63.865 0 0
|
| 77 |
+
162 0.16937 0.47044 0.18406 0.46489 0.02473 1.064 -0.37611 -0.99536 0.37643 -0.14224 5.0158e-06 -0.017869 94.357 0 0
|
| 78 |
+
35 0.24088 -0.43815 0.227 -0.4455 0.0164 0.69001 -0.32288 0.60981 0.28393 0.15033 -0.00061171 0.01194 76.003 0 0
|
| 79 |
+
163 0.18406 0.46489 0.19857 0.45888 0.02204 0.95229 -0.36443 -0.8798 0.33018 -0.13676 -0.00053792 -0.015968 91.401 0 0
|
| 80 |
+
36 0.227 -0.4455 0.21289 -0.45241 0.01817 0.77969 -0.34302 0.70018 0.27422 0.13434 -0.0010806 0.013108 68.798 0 0
|
| 81 |
+
164 0.19857 0.45888 0.21289 0.45241 0.02101 0.89646 -0.36891 -0.81704 0.32497 -0.14673 -0.00069012 -0.015138 88.193 0 0
|
| 82 |
+
37 0.21289 -0.45241 0.19857 -0.45888 0.02005 0.8583 -0.3532 0.78226 0.30251 0.13659 -0.00079632 0.014433 75.164 0 0
|
| 83 |
+
165 0.21289 0.45241 0.227 0.4455 0.01864 0.80326 -0.35339 -0.72135 0.29214 -0.14312 -0.00096202 -0.013578 82.111 0 0
|
| 84 |
+
38 0.19857 -0.45888 0.18406 -0.46489 0.02377 1.0306 -0.39438 0.95211 0.3602 0.1492 -0.00053685 0.017299 89.008 0 0
|
| 85 |
+
166 0.227 0.4455 0.24088 0.43815 0.01674 0.7125 -0.3334 -0.62969 0.25762 -0.1364 -0.0011903 -0.012033 65.007 0 0
|
| 86 |
+
39 0.18406 -0.46489 0.16937 -0.47044 0.02418 1.0448 -0.36931 0.97735 0.35902 0.13566 -0.00016158 0.017483 94.191 0 0
|
| 87 |
+
167 0.24088 0.43815 0.25452 0.43037 0.01538 0.64863 -0.32137 -0.56342 0.24897 -0.14201 -0.0011372 -0.01108 62.469 0 0
|
| 88 |
+
40 0.16937 -0.47044 0.15451 -0.47553 0.02862 1.2355 -0.40021 1.1689 0.42022 0.14387 0.00031423 0.020621 117.66 0 0
|
| 89 |
+
168 0.25452 0.43037 0.26791 0.42216 0.01326 0.55781 -0.29146 -0.47561 0.22048 -0.13511 -0.0011149 -0.0095928 61.658 0 0
|
| 90 |
+
41 0.15451 -0.47553 0.1395 -0.48015 0.03107 1.3468 -0.39601 1.2873 0.45194 0.13903 0.00087845 0.022403 131.23 0 0
|
| 91 |
+
169 0.26791 0.42216 0.28104 0.41354 0.01253 0.52725 -0.28947 -0.44068 0.20807 -0.13668 -0.0012786 -0.0090687 51.326 0 0
|
| 92 |
+
42 0.1395 -0.48015 0.12434 -0.48429 0.03335 1.4691 -0.38766 1.417 0.45312 0.12396 0.0010282 0.024205 123.45 0 0
|
| 93 |
+
170 0.28104 0.41354 0.29389 0.40451 0.01152 0.48497 -0.27886 -0.39678 0.17775 -0.12493 -0.0015881 -0.0081946 46.334 0 0
|
| 94 |
+
43 0.12434 -0.48429 0.10907 -0.48796 0.03647 1.6079 -0.37536 1.5635 0.50314 0.12079 0.0020071 0.026455 139.32 0 0
|
| 95 |
+
171 0.29389 0.40451 0.30645 0.39508 0.01076 0.44436 -0.26681 -0.35535 0.16181 -0.12149 -0.0016492 -0.0074899 38.227 0 0
|
| 96 |
+
44 0.10907 -0.48796 0.093691 -0.49114 0.03978 1.7543 -0.35576 1.7179 0.54152 0.11214 0.0029178 0.028745 145.6 0 0
|
| 97 |
+
172 0.30645 0.39508 0.31871 0.38526 0.00948 0.39585 -0.2475 -0.30893 0.142 -0.11377 -0.0016571 -0.0066394 41.186 0 0
|
| 98 |
+
45 0.093691 -0.49114 0.078217 -0.49384 0.04437 1.9811 -0.34061 1.9516 0.56743 0.099033 0.0035628 0.03221 167.64 0 0
|
| 99 |
+
173 0.31871 0.38526 0.33066 0.37506 0.0092 0.37835 -0.24572 -0.2877 0.14394 -0.12294 -0.0015987 -0.00645 37.894 0 0
|
| 100 |
+
46 0.078217 -0.49384 0.062667 -0.49606 0.04657 2.0868 -0.29404 2.066 0.59498 0.084677 0.0047269 0.033782 173.74 0 0
|
| 101 |
+
174 0.33066 0.37506 0.34227 0.36448 0.00875 0.35275 -0.2374 -0.2609 0.11231 -0.1022 -0.0019648 -0.0057033 27.843 0 0
|
| 102 |
+
47 0.062667 -0.49606 0.047054 -0.49778 0.05339 2.3692 -0.25998 2.3549 0.63372 0.069963 0.0058705 0.038087 204.14 0 0
|
| 103 |
+
175 0.34227 0.36448 0.35355 0.35355 0.00834 0.34408 -0.23945 -0.24709 0.089303 -0.086541 -0.0023584 -0.0052405 30.581 0 0
|
| 104 |
+
48 0.047054 -0.49778 0.031395 -0.49901 0.05745 2.5473 -0.19986 2.5394 0.67202 0.052889 0.0074164 0.040718 220.74 0 0
|
| 105 |
+
176 0.35355 0.35355 0.36448 0.34227 0.00834 0.34702 -0.2492 -0.24149 0.080487 -0.083056 -0.0026501 -0.0050978 29.381 0 0
|
| 106 |
+
49 0.031395 -0.49901 0.015705 -0.49975 0.06393 2.8257 -0.13311 2.8225 0.70054 0.033037 0.0089129 0.044854 239.95 0 0
|
| 107 |
+
177 0.36448 0.34227 0.37506 0.33066 0.00829 0.34561 -0.25563 -0.2326 0.074125 -0.081463 -0.0028509 -0.0049331 27.267 0 0
|
| 108 |
+
50 0.015705 -0.49975 0 -0.5 0.06785 3.0287 -0.047574 3.0284 0.72444 0.01138 0.010632 0.047746 259.75 0 0
|
| 109 |
+
178 0.37506 0.33066 0.38526 0.31871 0.0084 0.35342 -0.26874 -0.22953 0.059673 -0.069868 -0.0032839 -0.0047027 30.9 0 0
|
| 110 |
+
51 0 -0.5 -0.015705 -0.49975 0.07344 3.2916 0.051702 3.2912 0.77645 -0.012197 0.013008 0.051504 288.27 0 0
|
| 111 |
+
179 0.38526 0.31871 0.39508 0.30645 0.00856 0.36488 -0.28476 -0.22814 0.048202 -0.060166 -0.0037157 -0.0045285 25.269 0 0
|
| 112 |
+
52 -0.015705 -0.49975 -0.031395 -0.49901 0.08239 3.6555 0.1722 3.6515 0.82588 -0.038948 0.015677 0.056743 299.27 0 0
|
| 113 |
+
180 0.39508 0.30645 0.40451 0.29389 0.00946 0.40962 -0.32757 -0.24595 0.040307 -0.053683 -0.0045121 -0.0047064 27.994 0 0
|
| 114 |
+
53 -0.031395 -0.49901 -0.047054 -0.49778 0.0866 3.8814 0.30453 3.8694 0.82806 -0.06517 0.01779 0.059754 314.41 0 0
|
| 115 |
+
181 0.40451 0.29389 0.41354 0.28104 0.00993 0.42319 -0.34623 -0.24333 0.030829 -0.043866 -0.0049541 -0.0045111 22.187 0 0
|
| 116 |
+
54 -0.047054 -0.49778 -0.062667 -0.49606 0.09502 4.2303 0.46421 4.2047 0.88615 -0.097832 0.021211 0.064509 355.47 0 0
|
| 117 |
+
182 0.41354 0.28104 0.42216 0.26791 0.01092 0.47044 -0.3932 -0.25828 0.018364 -0.027957 -0.0058876 -0.004496 30.009 0 0
|
| 118 |
+
55 -0.062667 -0.49606 -0.078217 -0.49384 0.1038 4.6516 0.65542 4.6052 0.95465 -0.13587 0.02529 0.070202 391.97 0 0
|
| 119 |
+
183 0.42216 0.26791 0.43037 0.25452 0.01195 0.50797 -0.43312 -0.26541 0.017987 -0.029353 -0.0065206 -0.00463 27.384 0 0
|
| 120 |
+
56 -0.078217 -0.49384 -0.093691 -0.49114 0.1099 4.9303 0.84766 4.8569 0.95813 -0.16722 0.028364 0.073662 414.33 0 0
|
| 121 |
+
184 0.43037 0.25452 0.43815 0.24088 0.01229 0.52923 -0.45971 -0.26221 -0.0060596 0.010624 -0.0073159 -0.0039518 24.4 0 0
|
| 122 |
+
57 -0.093691 -0.49114 -0.10907 -0.48796 0.11877 5.3266 1.0802 5.2159 1.0122 -0.20961 0.032865 0.078636 458.47 0 0
|
| 123 |
+
185 0.43815 0.24088 0.4455 0.227 0.01334 0.56959 -0.50339 -0.26653 0.003981 -0.0075188 -0.0078443 -0.0043046 29.061 0 0
|
| 124 |
+
58 -0.10907 -0.48796 -0.12434 -0.48429 0.12643 5.6713 1.3239 5.5146 0.98724 -0.23701 0.036302 0.082897 449.21 0 0
|
| 125 |
+
186 0.4455 0.227 0.45241 0.21289 0.01471 0.63889 -0.57374 -0.28107 -0.0029528 0.0060275 -0.0090583 -0.0043202 35.808 0 0
|
| 126 |
+
59 -0.12434 -0.48429 -0.1395 -0.48015 0.13683 6.1345 1.6187 5.9171 1.0192 -0.27881 0.041434 0.088563 492.26 0 0
|
| 127 |
+
187 0.45241 0.21289 0.45888 0.19857 0.01513 0.65401 -0.59607 -0.26913 -0.0059784 0.013241 -0.0094565 -0.0040194 34.619 0 0
|
| 128 |
+
60 -0.1395 -0.48015 -0.15451 -0.47553 0.14663 6.5801 1.9348 6.2892 1.0285 -0.3164 0.046545 0.093817 509.74 0 0
|
| 129 |
+
188 0.45888 0.19857 0.46489 0.18406 0.01485 0.64467 -0.5956 -0.24671 -0.0012258 0.0029592 -0.0093745 -0.0038286 30.542 0 0
|
| 130 |
+
61 -0.15451 -0.47553 -0.16937 -0.47044 0.15532 7.0171 2.273 6.6388 1.1033 -0.37775 0.053032 0.098344 533.49 0 0
|
| 131 |
+
189 0.46489 0.18406 0.47044 0.16937 0.01537 0.66285 -0.62006 -0.2343 -0.0078326 0.020728 -0.0098625 -0.0033547 34.499 0 0
|
| 132 |
+
62 -0.16937 -0.47044 -0.18406 -0.46489 0.17008 7.6368 2.6994 7.1438 1.0624 -0.40147 0.059089 0.1059 599.61 0 0
|
| 133 |
+
190 0.47044 0.16937 0.47553 0.15451 0.01547 0.66776 -0.63176 -0.2163 -0.0079311 0.023165 -0.010048 -0.0030336 29.393 0 0
|
| 134 |
+
63 -0.18406 -0.46489 -0.19857 -0.45888 0.18166 8.1475 3.1179 7.5273 1.1492 -0.47603 0.067026 0.11076 629.08 0 0
|
| 135 |
+
191 0.47553 0.15451 0.48015 0.1395 0.01629 0.71236 -0.68086 -0.20946 -0.00079705 0.0025909 -0.010707 -0.0032494 33.834 0 0
|
| 136 |
+
64 -0.19857 -0.45888 -0.21289 -0.45241 0.1923 8.6499 3.5596 7.8836 1.156 -0.52197 0.07407 0.11563 674.16 0 0
|
| 137 |
+
192 0.48015 0.1395 0.48429 0.12434 0.01673 0.72427 -0.6986 -0.19111 -0.0068048 0.024874 -0.01108 -0.0026112 29.03 0 0
|
| 138 |
+
65 -0.21289 -0.45241 -0.227 -0.4455 0.20623 9.3309 4.105 8.3794 1.1728 -0.57453 0.0829 0.12259 737.64 0 0
|
| 139 |
+
193 0.48429 0.12434 0.48796 0.10907 0.01719 0.76337 -0.74228 -0.17821 -0.0034906 0.014539 -0.011714 -0.0025708 35.041 0 0
|
| 140 |
+
66 -0.227 -0.4455 -0.24088 -0.43815 0.2176 9.8193 4.5947 8.678 1.2287 -0.65058 0.091471 0.12609 772.12 0 0
|
| 141 |
+
194 0.48796 0.10907 0.49114 0.093691 0.01767 0.77436 -0.75827 -0.15703 -0.0046947 0.02267 -0.011984 -0.0021104 45.951 0 0
|
| 142 |
+
67 -0.24088 -0.43815 -0.25452 -0.43037 0.23176 10.501 5.2027 9.1213 1.1465 -0.65398 0.099729 0.133 830.12 0 0
|
| 143 |
+
195 0.49114 0.093691 0.49384 0.078217 0.0183 0.80238 -0.79043 -0.13795 -0.0023275 0.013336 -0.012452 -0.0019574 41.699 0 0
|
| 144 |
+
68 -0.25452 -0.43037 -0.26791 -0.42216 0.24519 11.082 5.7904 9.4491 1.2129 -0.74324 0.11 0.13674 864.83 0 0
|
| 145 |
+
196 0.49384 0.078217 0.49606 0.062667 0.01881 0.83215 -0.82385 -0.11725 -0.0039469 0.027733 -0.013002 -0.0014061 38.195 0 0
|
| 146 |
+
69 -0.26791 -0.42216 -0.28104 -0.41354 0.26068 11.759 6.4559 9.8282 1.1669 -0.76649 0.11973 0.14234 902.85 0 0
|
| 147 |
+
197 0.49606 0.062667 0.49778 0.047054 0.01826 0.79715 -0.79234 -0.087475 -0.0035584 0.032232 -0.012501 -0.00086773 40.725 0 0
|
| 148 |
+
70 -0.28104 -0.41354 -0.29389 -0.40451 0.27335 12.337 7.0938 10.094 1.2626 -0.8874 0.13126 0.1446 962.59 0 0
|
| 149 |
+
198 0.49778 0.047054 0.49901 0.031395 0.01855 0.81421 -0.8117 -0.063883 -0.00166 0.021093 -0.012776 -0.00067212 40.685 0 0
|
| 150 |
+
71 -0.29389 -0.40451 -0.30645 -0.39508 0.28774 12.997 7.8035 10.393 1.2202 -0.91613 0.14174 0.14886 989 0 0
|
| 151 |
+
199 0.49901 0.031395 0.49975 0.015705 0.01868 0.82237 -0.82146 -0.038739 -0.00020488 0.0043445 -0.012906 -0.00054024 39.721 0 0
|
| 152 |
+
72 -0.30645 -0.39508 -0.31871 -0.38526 0.30552 13.832 8.6485 10.795 1.1197 -0.89705 0.15343 0.15547 1069.2 0 0
|
| 153 |
+
200 0.49975 0.015705 0.5 0 0.01858 0.83525 -0.83515 -0.01312 -5.8854e-05 0.0037464 -0.013119 -0.00014723 40.549 0 0
|
| 154 |
+
73 -0.31871 -0.38526 -0.33066 -0.37506 0.31916 14.424 9.3676 10.968 1.1132 -0.95076 0.16463 0.15735 1078.3 0 0
|
| 155 |
+
74 -0.33066 -0.37506 -0.34227 -0.36448 0.3363 15.116 10.173 11.18 1.1504 -1.0468 0.17787 0.15917 1125.7 0 0
|
| 156 |
+
75 -0.34227 -0.36448 -0.35355 -0.35355 0.35481 15.974 11.117 11.471 1.0621 -1.0292 0.1913 0.16402 1210.6 0 0
|
| 157 |
+
76 -0.35355 -0.35355 -0.36448 -0.34227 0.36489 16.524 11.866 11.499 1.0343 -1.0673 0.20263 0.16385 1298.6 0 0
|
| 158 |
+
77 -0.36448 -0.34227 -0.37506 -0.33066 0.38463 17.335 12.822 11.667 1.0189 -1.1198 0.2174 0.16566 1317.1 0 0
|
| 159 |
+
78 -0.37506 -0.33066 -0.38526 -0.31871 0.39626 17.898 13.61 11.624 0.96393 -1.1286 0.22891 0.16485 1330.8 0 0
|
| 160 |
+
79 -0.38526 -0.31871 -0.39508 -0.30645 0.411 18.637 14.545 11.653 0.92651 -1.1565 0.24302 0.16487 1421.3 0 0
|
| 161 |
+
80 -0.39508 -0.30645 -0.40451 -0.29389 0.42771 19.34 15.466 11.612 0.89433 -1.1911 0.25697 0.16368 1472.4 0 0
|
| 162 |
+
81 -0.40451 -0.29389 -0.41354 -0.28104 0.44347 20.096 16.442 11.556 0.82332 -1.1715 0.27119 0.16311 1507.9 0 0
|
| 163 |
+
82 -0.41354 -0.28104 -0.42216 -0.26791 0.45994 20.798 17.383 11.419 0.76521 -1.1649 0.28506 0.16106 1555.9 0 0
|
| 164 |
+
83 -0.42216 -0.26791 -0.43037 -0.25452 0.47181 21.296 18.158 11.127 0.71462 -1.1662 0.29644 0.15646 1591.4 0 0
|
| 165 |
+
84 -0.43037 -0.25452 -0.43815 -0.24088 0.48781 22.131 19.223 10.965 0.67032 -1.1752 0.31248 0.15377 1685.3 0 0
|
| 166 |
+
85 -0.43815 -0.24088 -0.4455 -0.227 0.50462 22.793 20.144 10.666 0.59634 -1.1263 0.32577 0.14984 1701.6 0 0
|
| 167 |
+
86 -0.4455 -0.227 -0.45241 -0.21289 0.51546 23.364 20.981 10.279 0.56098 -1.1451 0.33837 0.14346 1734.3 0 0
|
| 168 |
+
87 -0.45241 -0.21289 -0.45888 -0.19857 0.52901 23.911 21.793 9.8397 0.50204 -1.1119 0.35019 0.13709 1824.5 0 0
|
| 169 |
+
88 -0.45888 -0.19857 -0.46489 -0.18406 0.54347 24.495 22.631 9.3739 0.40683 -0.98217 0.36186 0.13181 1807 0 0
|
| 170 |
+
89 -0.46489 -0.18406 -0.47044 -0.16937 0.5542 25.098 23.478 8.8717 0.34382 -0.90989 0.37418 0.12506 1960.5 0 0
|
| 171 |
+
90 -0.47044 -0.16937 -0.47553 -0.15451 0.56433 25.494 24.119 8.2578 0.32632 -0.95309 0.38397 0.11474 1883.1 0 0
|
| 172 |
+
91 -0.47553 -0.15451 -0.48015 -0.1395 0.57142 25.87 24.726 7.6067 0.25406 -0.82583 0.39237 0.10651 1960.2 0 0
|
| 173 |
+
92 -0.48015 -0.1395 -0.48429 -0.12434 0.58458 26.409 25.473 6.9685 0.22037 -0.80555 0.40357 0.096803 1984.3 0 0
|
| 174 |
+
93 -0.48429 -0.12434 -0.48796 -0.10907 0.59148 26.744 26.005 6.2432 0.17376 -0.72374 0.4112 0.086696 1990.3 0 0
|
| 175 |
+
94 -0.48796 -0.10907 -0.49114 -0.093691 0.59433 26.961 26.401 5.4673 0.12811 -0.61862 0.4167 0.07616 1994.7 0 0
|
| 176 |
+
95 -0.49114 -0.093691 -0.49384 -0.078217 0.60415 27.352 26.945 4.7026 0.095804 -0.54893 0.42473 0.065243 2075.1 0 0
|
| 177 |
+
96 -0.49384 -0.078217 -0.49606 -0.062667 0.61178 27.676 27.4 3.8995 0.059253 -0.41633 0.43131 0.054712 2033.8 0 0
|
| 178 |
+
97 -0.49606 -0.062667 -0.49778 -0.047054 0.61389 27.737 27.57 3.0437 0.032084 -0.29061 0.43355 0.043244 2052.6 0 0
|
| 179 |
+
98 -0.49778 -0.047054 -0.49901 -0.031395 0.61582 27.875 27.789 2.187 0.013984 -0.17768 0.43671 0.031562 2049.8 0 0
|
| 180 |
+
99 -0.49901 -0.031395 -0.49975 -0.015705 0.62085 28.031 28 1.3204 0.0085798 -0.18193 0.43994 0.017883 2119.4 0 0
|
| 181 |
+
100 -0.49975 -0.015705 -0.5 0 0.62187 28.137 28.134 0.44196 0.0013721 -0.087341 0.44193 0.0055701 2092.2 0 0
|
| 182 |
+
101 -0.5 0 -0.49975 0.015705 0.61729 27.941 27.937 -0.43887 -8.0797e-05 -0.0051432 0.43882 -0.0069743 2047.3 0 0
|
| 183 |
+
102 -0.49975 0.015705 -0.49901 0.031395 0.61868 28.133 28.102 -1.3252 0.0098307 0.20846 0.44156 -0.017542 2124 0 0
|
| 184 |
+
103 -0.49901 0.031395 -0.49778 0.047054 0.61612 27.885 27.799 -2.1879 0.024877 0.31609 0.43704 -0.0294 2050.1 0 0
|
| 185 |
+
104 -0.49778 0.047054 -0.49606 0.062667 0.61329 27.811 27.643 -3.0518 0.047255 0.42803 0.43494 -0.041213 2141.6 0 0
|
| 186 |
+
105 -0.49606 0.062667 -0.49384 0.078217 0.60859 27.571 27.296 -3.8848 0.059726 0.41966 0.42968 -0.054428 2080.9 0 0
|
| 187 |
+
106 -0.49384 0.078217 -0.49114 0.093691 0.59991 27.273 26.867 -4.689 0.11781 0.67503 0.42385 -0.063048 2084 0 0
|
| 188 |
+
107 -0.49114 0.093691 -0.48796 0.10907 0.59237 26.846 26.288 -5.444 0.13191 0.63698 0.41498 -0.075505 2025.2 0 0
|
| 189 |
+
108 -0.48796 0.10907 -0.48429 0.12434 0.58883 26.6 25.865 -6.2096 0.17415 0.72538 0.409 -0.086142 1939.3 0 0
|
| 190 |
+
109 -0.48429 0.12434 -0.48015 0.1395 0.57827 26.192 25.264 -6.9114 0.21677 0.79237 0.40023 -0.096113 1986.7 0 0
|
| 191 |
+
110 -0.48015 0.1395 -0.47553 0.15451 0.57217 25.861 24.718 -7.6043 0.26748 0.86945 0.39246 -0.10579 1931.2 0 0
|
| 192 |
+
111 -0.47553 0.15451 -0.47044 0.16937 0.5605 25.37 24.002 -8.2177 0.28133 0.82168 0.38143 -0.11617 1906.6 0 0
|
| 193 |
+
112 -0.47044 0.16937 -0.46489 0.18406 0.55068 24.933 23.323 -8.8131 0.36401 0.96332 0.37206 -0.1233 1885.4 0 0
|
| 194 |
+
113 -0.46489 0.18406 -0.45888 0.19857 0.54441 24.518 22.652 -9.3827 0.42616 1.0288 0.36249 -0.13122 1784.8 0 0
|
| 195 |
+
114 -0.45888 0.19857 -0.45241 0.21289 0.52779 23.894 21.777 -9.8326 0.48565 1.0756 0.34968 -0.13755 1807 0 0
|
| 196 |
+
115 -0.45241 0.21289 -0.4455 0.227 0.51468 23.225 20.856 -10.217 0.51296 1.0471 0.33566 -0.14404 1713.3 0 0
|
| 197 |
+
116 -0.4455 0.227 -0.43815 0.24088 0.50254 22.655 20.021 -10.601 0.58991 1.1142 0.32375 -0.14901 1671.9 0 0
|
| 198 |
+
117 -0.43815 0.24088 -0.43037 0.25452 0.49171 22.181 19.267 -10.99 0.6774 1.1876 0.31327 -0.15396 1622.5 0 0
|
| 199 |
+
118 -0.43037 0.25452 -0.42216 0.26791 0.47353 21.358 18.211 -11.16 0.68904 1.1244 0.29687 -0.15763 1579 0 0
|
| 200 |
+
119 -0.42216 0.26791 -0.41354 0.28104 0.46085 20.77 17.359 -11.403 0.79953 1.2172 0.28523 -0.15999 1529.8 0 0
|
| 201 |
+
120 -0.41354 0.28104 -0.40451 0.29389 0.4454 20.121 16.462 -11.57 0.79801 1.1354 0.27111 -0.1639 1502.7 0 0
|
| 202 |
+
121 -0.40451 0.29389 -0.39508 0.30645 0.42837 19.383 15.5 -11.638 0.87222 1.1617 0.25717 -0.16455 1439.1 0 0
|
| 203 |
+
122 -0.39508 0.30645 -0.38526 0.31871 0.41214 18.606 14.521 -11.633 0.90155 1.1253 0.24225 -0.16505 1387.6 0 0
|
| 204 |
+
123 -0.38526 0.31871 -0.37506 0.33066 0.39859 17.984 13.675 -11.679 0.99624 1.1664 0.23044 -0.16513 1367.7 0 0
|
| 205 |
+
124 -0.37506 0.33066 -0.36448 0.34227 0.38363 17.264 12.769 -11.619 1.0604 1.1653 0.21722 -0.16419 1323.9 0 0
|
| 206 |
+
125 -0.36448 0.34227 -0.35355 0.35355 0.36629 16.572 11.901 -11.533 1.0609 1.0947 0.20359 -0.16395 1245.1 0 0
|
| 207 |
+
126 -0.35355 0.35355 -0.34227 0.36448 0.34993 15.828 11.015 -11.366 1.0786 1.0452 0.18996 -0.16212 1236.9 0 0
|
| 208 |
+
127 -0.34227 0.36448 -0.33066 0.37506 0.33767 15.224 10.246 -11.26 1.1435 1.0405 0.1789 -0.16053 1162.3 0 0
|
| 209 |
+
128 -0.33066 0.37506 -0.31871 0.38526 0.32122 14.504 9.4199 -11.029 1.1867 1.0135 0.1666 -0.15732 1096.7 0 0
|