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- .gitattributes +5 -0
- CylinderKnMa/Kn0p08/simulation0095_Kn0p08Ma6p4/output/lambdakn.300000.dat +3 -0
- CylinderKnMa/Kn0p08/simulation0096_Kn0p08Ma6p5/Lambda/Lambda_14_300000.vtu +3 -0
- CylinderKnMa/Kn0p08/simulation0096_Kn0p08Ma6p5/grid/Grid_14_300000.vtu +3 -0
- CylinderKnMa/Kn0p08/simulation0096_Kn0p08Ma6p5/output/grid.300000.dat +3 -0
- CylinderKnMa/Kn0p08/simulation0096_Kn0p08Ma6p5/output/lambdakn.300000.dat +3 -0
- CylinderKnMa/Kn0p12/simulation0180_Kn0p12Ma4p9/Grid.pvd +9 -0
- CylinderKnMa/Kn0p12/simulation0180_Kn0p12Ma4p9/Lambda.pvd +9 -0
- CylinderKnMa/Kn0p12/simulation0180_Kn0p12Ma4p9/Lambda/Lambda_0_300000.vtu +0 -0
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- CylinderKnMa/Kn0p12/simulation0180_Kn0p12Ma4p9/Lambda/Lambda_11_300000.vtu +0 -0
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- CylinderKnMa/Kn0p12/simulation0180_Kn0p12Ma4p9/Lambda/Lambda_13_300000.vtu +27 -0
- CylinderKnMa/Kn0p12/simulation0180_Kn0p12Ma4p9/Lambda/Lambda_14_300000.vtu +27 -0
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- CylinderKnMa/Kn0p12/simulation0180_Kn0p12Ma4p9/Surf.pvd +9 -0
- CylinderKnMa/Kn0p12/simulation0180_Kn0p12Ma4p9/config.txt +78 -0
- CylinderKnMa/Kn0p12/simulation0180_Kn0p12Ma4p9/cylinder.surf +410 -0
- CylinderKnMa/Kn0p12/simulation0180_Kn0p12Ma4p9/gas.species +14 -0
- CylinderKnMa/Kn0p12/simulation0180_Kn0p12Ma4p9/gas.vhs +9 -0
- CylinderKnMa/Kn0p12/simulation0180_Kn0p12Ma4p9/grid/Grid_0_300000.vtu +0 -0
- CylinderKnMa/Kn0p12/simulation0180_Kn0p12Ma4p9/grid/Grid_10_300000.vtu +0 -0
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- CylinderKnMa/Kn0p12/simulation0180_Kn0p12Ma4p9/grid/Grid_300000.pvtu +41 -0
- CylinderKnMa/Kn0p12/simulation0180_Kn0p12Ma4p9/grid/Grid_3_300000.vtu +0 -0
- CylinderKnMa/Kn0p12/simulation0180_Kn0p12Ma4p9/grid/Grid_4_300000.vtu +0 -0
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- CylinderKnMa/Kn0p12/simulation0180_Kn0p12Ma4p9/grid/final-grid.dat +0 -0
- CylinderKnMa/Kn0p12/simulation0180_Kn0p12Ma4p9/log.sparta +319 -0
- CylinderKnMa/Kn0p12/simulation0180_Kn0p12Ma4p9/mir.txt +3 -0
- CylinderKnMa/Kn0p12/simulation0180_Kn0p12Ma4p9/output/surf.300000.dat +209 -0
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_AQAAAACAAAAgZwAA1Q4AAA==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AQAAAACAAAAgZwAAqAMAAA==eJzt0+lPlFcYxuGZYfb1XRTEpQ6haUWhtVRRUaQjtSqLqSBooArWtS7RkWINrig6calSVKRamhIlKFEj4i7QWxKEFAqliGhcg1Xrhksjo1WjM2b+Aj/f7+c3T87zO+dyRhnb9zyWEfHn8PEtLTICxn79qkeFjCvtOZlfbZdRlVgQtCVLxpqOusIzKTLGLH5huztERshDS/XAQBmdy6MHT/1fQrM76WbJZQnbXetSWyslZKl26Xv9KiEyv2HV2FUSelluhOVlSLjxi1hS5ZBQE/BRkiZYgqt00h/hagnxQzY4Mm6JCDtS9Kj0nIinjuZZbaUiWitvduuzQURhfPfNsXNFZNeFRObHiYielFb+e6gI+98L03VWEbemFV8Y9EjAuSvHcpf/JWDT/Dsv95cL8GyT2Z4vIPyHsKC+3wtwa9ML45MFXPSuFyGgyHOcswECvL9JT21YP/RC7YKjNoz75E3Q6yU2tCZ8K0weZkNBjHeiFfbpnamjqq0oWzNhXNFqK+YvzS4JjbGia+fVbS6NFad+1D72r7cg5uB315wbLdDsyY9UJliwteZZv29sFiSe/GDd/Razr68Zs9z/TCtOMft6mlFhdh7YdNnk62eC5xRdWRkmXy+Tr5MR1nehjL4uRqSNGvnvpVCjr4MBC3PUtVvLDb69DagsyLNlRxiwcvOpeYYXeugP9E6dcUaPhuLRx/9boUfy2X17x3+hR8CJFsU1lR7eKUNrdZjROCWu3qVD530MC47VYanpw34rzToMVybkWpq1qLUfXjznJy1c/pea3ElaiBEjqhL9tTg/YGZgx0UNpsbV66J2a2B3PJneOEWDsoyJiR/bNViQsuLQ8Q413FneF6FGzg5P4NlqfOnNHKJGU1lzW8oDP+T99vyz24f80BNpdofTD1e91/u5H2a33Zk7oEuFkAah7vRJFSruZR7rvkyFJd5xUSoo3n0qbOzrubAaJRI8me7lKtHuWWv0GCV+7t9jx3mDEsGxy9Z+2qjA7ei916u3KLAoXdcUOEGB8OSB/ffLCjjpgz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7ogz7o4719vAVz+VLKAQAAAACAAAAgZwAAYQEAAA==eJzt2kErAwAcQPELrRw0xLZkEk0SVy5KO01NbNNykG1lyk5ToxRtF4WDlSlKhlBrceEikdhBTbY2jTblsgk5EIctEXH1/wjv9PsE7/a8riNPQK3s9CLiPw8zc1/ONkSUTNvGe7RWRJTM5xwb1x5ElKxydb/PBxBR0pSpnnTsIaKk26aIaRKIKOnPvdUmXxBRMtp3GtoqLUNEwcf0zsdACyJKKmzLxkojIkrq48OpBxciSjr6zI3rs4go6U13TPSHEFEyONh0oTxHRMl0LG/J3iOiZMGS3V4pKkdEQdVvKPWIKGnuWvXp9Igo6Y7NJO/siCjpt3galryIKBmN6HdHgogo+WRo/a47RkRJRUxjytwioqTOUry58IGIko7IVbNTU4GIgj7DyVRNOyJKrl2G4ykrIkr+bbxjiChZOBsK2xcRUVJl6P1U7yOipPlAO/2cQETJ0Y6Sm81XRJT8AVoWcfk=AQAAAACAAAAgZwAAOSUAAA==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AQAAAACAAAAgZwAAzBkAAA==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AgAAAACAAAD4IAAAbxkAAJMHAAA=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BAAAAACAAACAHAAAohUAAJoVAACcFQAAFgUAAA==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|
| 26 |
+
</AppendedData>
|
| 27 |
+
</VTKFile>
|
CylinderKnMa/Kn0p12/simulation0180_Kn0p12Ma4p9/Lambda/Lambda_13_300000.vtu
ADDED
|
@@ -0,0 +1,27 @@
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|
| 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="0.0035533" RangeMax="0.0036523" offset="6940" />
|
| 12 |
+
<DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.11823" RangeMax="0.12152" offset="19912" />
|
| 13 |
+
</CellData>
|
| 14 |
+
<Points>
|
| 15 |
+
<DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="4.0090237811" RangeMax="5.383137758" offset="28932" />
|
| 16 |
+
</Points>
|
| 17 |
+
<Cells>
|
| 18 |
+
<DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="40496" />
|
| 19 |
+
<DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="64408" />
|
| 20 |
+
<DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="70244" />
|
| 21 |
+
</Cells>
|
| 22 |
+
</Piece>
|
| 23 |
+
</UnstructuredGrid>
|
| 24 |
+
<AppendedData encoding="base64">
|
| 25 |
+
_AQAAAACAAAAgZwAA2w4AAA==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AQAAAACAAAAgZwAA4QMAAA==eJzt0/1TE3QcB/BSIewBpudRapQacniYxnEw0OAbyHEG2HHgFaKijZOHrYu64RUNsEsNsaU8WXeBmMWiK0RF5emcHxi5wuloA5b4sA0GbONhAyYbT4Nm/Af9/P7t89P7c5+HV67ZL9CjdpEWuj93VYu0eg2TP7qxQH5Jbj+X7lig3yM+2H+VnET5PqEZ0U6KzsoeP9kxT8m/Bt/b+d48acsKT6Z0zdGkeg+PkzxHn926sG7741n6xnnEMfDhLHHMjZeXG2fI179A3CyYIVeIK2GapInfbTxzdJpUJQcWds066P38ugbeMQfxb+aUvbLCQeM18jhukZ1WGMX+Yy/ZqUit1b9QNkXnV0mkbS9P0San/ai+8gmFvP006QnFio5vj//FRp3pPUZ+gI0Mkoo/NlyZpMySsTwWPEn5f1/bN9U8QctuurlGnCDvOYWlo32cKoZ8aky7xyk17q/nwius5HClrpJYqPjH6cChujGKidqvlDSNku4jYdoXshE656lZDLs7TNvCLOWeGjMNPEgIVOpMlO+WJf/JbKSgGgWPZxuiuyqDI8Q5SF8JY8rt7oO0vip1i4IzQCrWdvv0OgPx+b0ph3z7afm5CWvQtj5qDtkrtnH1VC27H1V8XEsc9yqR1/eP6L/2vz2guqoyLffWfdLb2j36VBqK5xZFHh7spqdbXTmjpuHOgupTL6ooNDb1fNo7SvJSmTx5GXcoR/Ru2vUzcopb1t1df0NGh/dlJT7fIqXEgHidwKOB1jd/HJt7qZb8uKdrg8t/oIjsHJ2o4xO2WvvaiS/zLrJ74b551uwr7KEg0vrtxibW9mp4QXYXsXmDlH9E1s42HwyaSa/4k7XWq6vX5CiYOWB3kPeeTiZrFVr7SlWsWLDrduixLrZ0/x629Cf/sK/PntpSEt3L9u5IXjS+9ZCZ7KXyTJ/HrOEir5JW6tjmy8rADSI9E59oqIz7tI9p+pOeEWf0s/CmnYLGgwZW6N2rdCQNMMtIa9gbsYNsae4hduH1GI+zIUbmPvWmsGWriSUkKTSzm8ys0f9apN/aYfZsYYIk3WuEZR4I5ZS6jbL6lh6hem6UrS2Wap0TYyzNkhIVYbKwO+1Rl7K0VpYLH/ABH/ABH/ABH/ABH/ABH/ABH/ABH/ABH/ABH/ABH/ABH/ABH/ABH/ABH/ABH/ABH/ABH/ABH/ABH/ABH/ABH/ABH/ABH/ABH/ABH/ABH/ABH/ABH/ABH/ABH/ABH/ABH/ABH/ABH/ABH/ABH/ABH/ABH/ABH/ABH/ABH/ABH/ABH/ABH/ABH/ABH/ABH/ABH/ABH//bx79Zb772AQAAAACAAAAgZwAAYQEAAA==eJzt2kErAwAcQPELrRw0xLZkEk0SVy5KO01NbNNykG1lyk5ToxRtF4WDlSlKhlBrceEikdhBTbY2jTblsgk5EIctEXH1/wjv9PsE7/a8riNPQK3s9CLiPw8zc1/ONkSUTNvGe7RWRJTM5xwb1x5ElKxydb/PBxBR0pSpnnTsIaKk26aIaRKIKOnPvdUmXxBRMtp3GtoqLUNEwcf0zsdACyJKKmzLxkojIkrq48OpBxciSjr6zI3rs4go6U13TPSHEFEyONh0oTxHRMl0LG/J3iOiZMGS3V4pKkdEQdVvKPWIKGnuWvXp9Igo6Y7NJO/siCjpt3galryIKBmN6HdHgogo+WRo/a47RkRJRUxjytwioqTOUry58IGIko7IVbNTU4GIgj7DyVRNOyJKrl2G4ykrIkr+bbxjiChZOBsK2xcRUVJl6P1U7yOipPlAO/2cQETJ0Y6Sm81XRJT8AVoWcfk=AQAAAACAAAAgZwAA7yUAAA==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AgAAAACAAAD4IAAADhoAAL0HAAA=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BAAAAACAAACAHAAAohUAAJoVAACcFQAAFgUAAA==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eJztwTENAAAAw6C7/g3PxwIUAADAjwE0gnQF
|
| 26 |
+
</AppendedData>
|
| 27 |
+
</VTKFile>
|
CylinderKnMa/Kn0p12/simulation0180_Kn0p12Ma4p9/Lambda/Lambda_14_300000.vtu
ADDED
|
@@ -0,0 +1,27 @@
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|
| 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="0.0018846" RangeMax="0.0036535" offset="6896" />
|
| 12 |
+
<DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.062705" RangeMax="0.12156" offset="21504" />
|
| 13 |
+
</CellData>
|
| 14 |
+
<Points>
|
| 15 |
+
<DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="4.1345047654" RangeMax="6.4133780525" offset="32500" />
|
| 16 |
+
</Points>
|
| 17 |
+
<Cells>
|
| 18 |
+
<DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="44592" />
|
| 19 |
+
<DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="68504" />
|
| 20 |
+
<DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="74340" />
|
| 21 |
+
</Cells>
|
| 22 |
+
</Piece>
|
| 23 |
+
</UnstructuredGrid>
|
| 24 |
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zsLKxc3BycfPw8jF8hz4jEzMLKxs7BycXNw8vH8N36jMyMbOwsrFzcHJx8/DyMXyXPiMT80/4/wFi7RoHAQAAAACAAAAgZwAAzAMAAA==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eJzt2kErAwAcQPELrRw0xLZkEk0SVy5KO01NbNNykG1lyk5ToxRtF4WDlSlKhlBrceEikdhBTbY2jTblsgk5EIctEXH1/wjv9PsE7/a8riNPQK3s9CLiPw8zc1/ONkSUTNvGe7RWRJTM5xwb1x5ElKxydb/PBxBR0pSpnnTsIaKk26aIaRKIKOnPvdUmXxBRMtp3GtoqLUNEwcf0zsdACyJKKmzLxkojIkrq48OpBxciSjr6zI3rs4go6U13TPSHEFEyONh0oTxHRMl0LG/J3iOiZMGS3V4pKkdEQdVvKPWIKGnuWvXp9Igo6Y7NJO/siCjpt3galryIKBmN6HdHgogo+WRo/a47RkRJRUxjytwioqTOUry58IGIko7IVbNTU4GIgj7DyVRNOyJKrl2G4ykrIkr+bbxjiChZOBsK2xcRUVJl6P1U7yOipPlAO/2cQETJ0Y6Sm81XRJT8AVoWcfk=AQAAAACAAAAgZwAAuioAAA==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AgAAAACAAAD4IAAAZRsAAPEHAAA=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BAAAAACAAACAHAAAohUAAJoVAACcFQAAFgUAAA==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|
| 26 |
+
</AppendedData>
|
| 27 |
+
</VTKFile>
|
CylinderKnMa/Kn0p12/simulation0180_Kn0p12Ma4p9/Lambda/Lambda_15_300000.vtu
ADDED
|
@@ -0,0 +1,27 @@
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|
| 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="0.0018967" RangeMax="0.0036356" offset="4812" />
|
| 12 |
+
<DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.063108" RangeMax="0.12097" offset="24280" />
|
| 13 |
+
</CellData>
|
| 14 |
+
<Points>
|
| 15 |
+
<DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="5.6748189645" RangeMax="7.8102496759" offset="43284" />
|
| 16 |
+
</Points>
|
| 17 |
+
<Cells>
|
| 18 |
+
<DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="49940" />
|
| 19 |
+
<DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="65332" />
|
| 20 |
+
<DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="69232" />
|
| 21 |
+
</Cells>
|
| 22 |
+
</Piece>
|
| 23 |
+
</UnstructuredGrid>
|
| 24 |
+
<AppendedData encoding="base64">
|
| 25 |
+
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AQAAAACAAAAQRAAAmjcAAA==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AQAAAACAAADIagAAbhMAAA==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|
| 26 |
+
</AppendedData>
|
| 27 |
+
</VTKFile>
|
CylinderKnMa/Kn0p12/simulation0180_Kn0p12Ma4p9/Lambda/Lambda_1_300000.vtu
ADDED
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The diff for this file is too large to render.
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CylinderKnMa/Kn0p12/simulation0180_Kn0p12Ma4p9/Lambda/Lambda_2_300000.vtu
ADDED
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|
CylinderKnMa/Kn0p12/simulation0180_Kn0p12Ma4p9/Lambda/Lambda_300000.pvtu
ADDED
|
@@ -0,0 +1,33 @@
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|
| 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 |
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<PDataArray type="Float64" Name="yc"/>
|
| 10 |
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<PDataArray type="Float64" Name="c_6[1]"/>
|
| 11 |
+
<PDataArray type="Float64" Name="c_6[2]"/>
|
| 12 |
+
</PCellData>
|
| 13 |
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<PPoints>
|
| 14 |
+
<PDataArray type="Float32" Name="Points" NumberOfComponents="3"/>
|
| 15 |
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</PPoints>
|
| 16 |
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<Piece Source="Lambda_0_300000.vtu"/>
|
| 17 |
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<Piece Source="Lambda_1_300000.vtu"/>
|
| 18 |
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<Piece Source="Lambda_2_300000.vtu"/>
|
| 19 |
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<Piece Source="Lambda_3_300000.vtu"/>
|
| 20 |
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<Piece Source="Lambda_4_300000.vtu"/>
|
| 21 |
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<Piece Source="Lambda_5_300000.vtu"/>
|
| 22 |
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<Piece Source="Lambda_6_300000.vtu"/>
|
| 23 |
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<Piece Source="Lambda_7_300000.vtu"/>
|
| 24 |
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<Piece Source="Lambda_8_300000.vtu"/>
|
| 25 |
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<Piece Source="Lambda_9_300000.vtu"/>
|
| 26 |
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<Piece Source="Lambda_10_300000.vtu"/>
|
| 27 |
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<Piece Source="Lambda_11_300000.vtu"/>
|
| 28 |
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<Piece Source="Lambda_12_300000.vtu"/>
|
| 29 |
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<Piece Source="Lambda_13_300000.vtu"/>
|
| 30 |
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<Piece Source="Lambda_14_300000.vtu"/>
|
| 31 |
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<Piece Source="Lambda_15_300000.vtu"/>
|
| 32 |
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</PUnstructuredGrid>
|
| 33 |
+
</VTKFile>
|
CylinderKnMa/Kn0p12/simulation0180_Kn0p12Ma4p9/Lambda/Lambda_3_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0180_Kn0p12Ma4p9/Lambda/Lambda_4_300000.vtu
ADDED
|
The diff for this file is too large to render.
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|
|
|
CylinderKnMa/Kn0p12/simulation0180_Kn0p12Ma4p9/Lambda/Lambda_5_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0180_Kn0p12Ma4p9/Lambda/Lambda_6_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0180_Kn0p12Ma4p9/Lambda/Lambda_7_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0180_Kn0p12Ma4p9/Lambda/Lambda_8_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0180_Kn0p12Ma4p9/Lambda/Lambda_9_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0180_Kn0p12Ma4p9/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/simulation0180_Kn0p12Ma4p9/config.txt
ADDED
|
@@ -0,0 +1,78 @@
|
|
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|
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|
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|
|
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|
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|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
variable BZ equal 1.380649E-23
|
| 2 |
+
variable PI equal 3.1415926536
|
| 3 |
+
variable molecular_mass equal 6.63E-26
|
| 4 |
+
variable molecular_diameter equal 4.17E-10
|
| 5 |
+
variable gamma equal 1.666666667
|
| 6 |
+
variable R equal ${BZ}/${molecular_mass}
|
| 7 |
+
variable L equal 1.0
|
| 8 |
+
variable xmin equal -5.0
|
| 9 |
+
variable xmax equal 6.0
|
| 10 |
+
variable ymin equal -5.0
|
| 11 |
+
variable ymax equal 5.0
|
| 12 |
+
variable Kn equal 0.12
|
| 13 |
+
variable Ma equal 4.9
|
| 14 |
+
variable To equal 273.0
|
| 15 |
+
variable Tb equal 273.0
|
| 16 |
+
variable theta equal 0.0
|
| 17 |
+
variable mfp equal ${Kn}*${L}
|
| 18 |
+
variable cpmfp equal 4
|
| 19 |
+
variable nden equal 1.0/sqrt(2.0)/${PI}/${molecular_diameter}/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
|
| 20 |
+
variable sos equal sqrt(${gamma}*${R}*${To})
|
| 21 |
+
variable vo equal ${Ma}*${sos}
|
| 22 |
+
variable vx equal ${vo}*cos(${theta}*2*PI/360)
|
| 23 |
+
variable vy equal ${vo}*sin(${theta}*2*PI/360)
|
| 24 |
+
variable ppc equal 30
|
| 25 |
+
variable xncells equal (${xmax}-${xmin})/${mfp}*${cpmfp}
|
| 26 |
+
variable yncells equal (${ymax}-${ymin})/${mfp}*${cpmfp}
|
| 27 |
+
variable Fnum equal ${nden}*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
|
| 28 |
+
variable tstep equal (-${xmin}+${xmax})/${vx}/${xncells}/10/4
|
| 29 |
+
variable nave equal 10000
|
| 30 |
+
variable noutput equal 300000
|
| 31 |
+
clear
|
| 32 |
+
shell mkdir output
|
| 33 |
+
shell mkdir grid
|
| 34 |
+
shell mkdir surf
|
| 35 |
+
seed 7
|
| 36 |
+
dimension 2
|
| 37 |
+
global nrho ${nden}
|
| 38 |
+
global fnum ${Fnum}
|
| 39 |
+
timestep ${tstep}
|
| 40 |
+
global gridcut 1.0 particle/reorder 100 comm/sort yes
|
| 41 |
+
region 1 cylinder z 0.0 0.0 3.50 -0.5 0.5
|
| 42 |
+
region 2 cylinder z 0.0 0.0 2.00 -0.5 0.5
|
| 43 |
+
region 3 cylinder z 0.0 0.0 0.80 -0.5 0.5
|
| 44 |
+
boundary o o p
|
| 45 |
+
create_box ${xmin} ${xmax} ${ymin} ${ymax} -0.5 0.5
|
| 46 |
+
create_grid ${xncells} ${yncells} 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
|
| 47 |
+
balance_grid rcb cell
|
| 48 |
+
species gas.species Ar
|
| 49 |
+
mixture air Ar frac 1.0
|
| 50 |
+
mixture air Ar vstream ${vx} ${vy} 0.0 temp ${To}
|
| 51 |
+
collide vss air gas.vhs
|
| 52 |
+
collide_modify vremax 100 yes remain no nearcp yes 10
|
| 53 |
+
read_surf cylinder.surf
|
| 54 |
+
surf_collide 1 diffuse 273.0 1.0
|
| 55 |
+
surf_modify all collide 1
|
| 56 |
+
fix in emit/face air xlo ylo yhi
|
| 57 |
+
balance_grid rcb cell
|
| 58 |
+
create_particles air n 0
|
| 59 |
+
stats 10000
|
| 60 |
+
stats_style step cpu np nattempt ncoll nscoll npave nscollave
|
| 61 |
+
run 200000
|
| 62 |
+
compute 1 grid all air n nrho massrho u v w
|
| 63 |
+
compute 2 grid all air trot
|
| 64 |
+
compute 3 tvib/grid all air
|
| 65 |
+
compute 4 thermal/grid all air press temp
|
| 66 |
+
fix 1 ave/grid all 1 ${nave} ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
|
| 67 |
+
dump 1 grid all ${noutput} output/grid.*.dat id xc yc f_1[*]
|
| 68 |
+
dump_modify 1 format float %12.5g
|
| 69 |
+
compute 5 surf all air n press px py shx shy fx fy etot erot evib
|
| 70 |
+
fix 2 ave/surf all 1 ${nave} ${nave} c_5[*] ave running
|
| 71 |
+
dump 2 surf all ${noutput} output/surf.*.dat id v1x v1y v2x v2y f_2[*]
|
| 72 |
+
dump_modify 2 format float %12.5g
|
| 73 |
+
compute 6 lambda/grid f_1[2] f_1[8] Ar kx
|
| 74 |
+
dump 3 grid all ${noutput} output/lambdakn.*.dat id xc yc c_6[*]
|
| 75 |
+
dump_modify 3 format float %12.5g
|
| 76 |
+
run 100000
|
| 77 |
+
write_grid grid/final-grid.dat
|
| 78 |
+
write_surf surf/geom.surf
|
CylinderKnMa/Kn0p12/simulation0180_Kn0p12Ma4p9/cylinder.surf
ADDED
|
@@ -0,0 +1,410 @@
|
|
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|
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|
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|
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|
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|
|
|
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|
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|
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|
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|
|
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|
|
|
|
|
|
|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
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|
|
|
|
|
|
|
|
| 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 |
+
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| 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/simulation0180_Kn0p12Ma4p9/gas.species
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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/simulation0180_Kn0p12Ma4p9/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/simulation0180_Kn0p12Ma4p9/grid/Grid_0_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0180_Kn0p12Ma4p9/grid/Grid_10_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0180_Kn0p12Ma4p9/grid/Grid_11_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0180_Kn0p12Ma4p9/grid/Grid_12_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0180_Kn0p12Ma4p9/grid/Grid_13_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0180_Kn0p12Ma4p9/grid/Grid_14_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0180_Kn0p12Ma4p9/grid/Grid_15_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0180_Kn0p12Ma4p9/grid/Grid_1_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0180_Kn0p12Ma4p9/grid/Grid_2_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0180_Kn0p12Ma4p9/grid/Grid_300000.pvtu
ADDED
|
@@ -0,0 +1,41 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
|
|
|
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|
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|
|
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|
|
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|
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|
|
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|
|
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|
|
|
| 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/simulation0180_Kn0p12Ma4p9/grid/Grid_3_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0180_Kn0p12Ma4p9/grid/Grid_4_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0180_Kn0p12Ma4p9/grid/Grid_6_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0180_Kn0p12Ma4p9/grid/Grid_7_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0180_Kn0p12Ma4p9/grid/Grid_8_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0180_Kn0p12Ma4p9/grid/Grid_9_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0180_Kn0p12Ma4p9/grid/final-grid.dat
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0180_Kn0p12Ma4p9/log.sparta
ADDED
|
@@ -0,0 +1,319 @@
|
|
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|
|
|
|
|
|
|
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|
| 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 4.9
|
| 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 4.9*${sos}
|
| 38 |
+
variable vo equal 4.9*307.815564238681
|
| 39 |
+
variable vx equal ${vo}*cos(${theta}*2*PI/360)
|
| 40 |
+
variable vx equal 1508.29626476954*cos(${theta}*2*PI/360)
|
| 41 |
+
variable vx equal 1508.29626476954*cos(0*2*PI/360)
|
| 42 |
+
variable vy equal ${vo}*sin(${theta}*2*PI/360)
|
| 43 |
+
variable vy equal 1508.29626476954*sin(${theta}*2*PI/360)
|
| 44 |
+
variable vy equal 1508.29626476954*sin(0*2*PI/360)
|
| 45 |
+
variable ppc equal 30
|
| 46 |
+
variable xncells equal (${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}/${xncells}/10/4
|
| 68 |
+
variable tstep equal (--5+6)/1508.29626476954/${xncells}/10/4
|
| 69 |
+
variable tstep equal (--5+6)/1508.29626476954/366.666666666667/10/4
|
| 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 4.97249789393727e-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 = 0.413911 secs
|
| 101 |
+
create/ghost percent = 0.737481 99.2625
|
| 102 |
+
balance_grid rcb cell
|
| 103 |
+
Balance grid migrated 527129 cells
|
| 104 |
+
CPU time = 0.321957 secs
|
| 105 |
+
reassign/sort/migrate/ghost percent = 20.4038 0.0431734 7.34996 72.203
|
| 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 1508.29626476954 ${vy} 0.0 temp ${To}
|
| 110 |
+
mixture air Ar vstream 1508.29626476954 0 0.0 temp ${To}
|
| 111 |
+
mixture air Ar vstream 1508.29626476954 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 = 0.337572 secs
|
| 125 |
+
read/check/sort/surf2grid/ghost/inout/particle percent = 6.80838 6.64528 0.853788 12.8012 72.8913 2.16916 0.0460403
|
| 126 |
+
surf2grid time = 0.0432133 secs
|
| 127 |
+
map/comm1/comm2/comm3/comm4/split percent = 31.1155 14.4351 13.218 1.1051 6.26502 5.32895
|
| 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 = 0.25388 secs
|
| 134 |
+
reassign/sort/migrate/ghost percent = 1.73048 0.0273515 3.49715 94.745
|
| 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 = 0.0542449 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 114.72096 3689933 148966 126227 44 3646118 45.0594
|
| 150 |
+
20000 298.16653 3957211 171931 147919 51 3747095.7 45.73455
|
| 151 |
+
30000 528.81864 4012269 177194 152748 46 3828922.7 45.971333
|
| 152 |
+
40000 765.39551 4023090 177438 152915 50 3876498.6 46.194725
|
| 153 |
+
50000 1002.4214 4024454 177499 152841 49 3906002.5 46.31148
|
| 154 |
+
60000 1240.7053 4024463 177672 153196 45 3925757.9 46.414983
|
| 155 |
+
70000 1480.6613 4025510 177524 153216 37 3940016 46.482829
|
| 156 |
+
80000 1718.5638 4023815 177496 152912 41 3950659.6 46.523825
|
| 157 |
+
90000 1956.2615 4025802 177820 153248 54 3958910.6 46.5695
|
| 158 |
+
100000 2194.5687 4025992 177643 153188 46 3965662.6 46.58637
|
| 159 |
+
110000 2432.0532 4027767 177729 153252 47 3971271.9 46.629136
|
| 160 |
+
120000 2670.7733 4027654 177941 153284 35 3975983.8 46.649808
|
| 161 |
+
130000 2908.3638 4023570 177264 152520 47 3979775.8 46.665085
|
| 162 |
+
140000 3146.3326 4025204 177815 153354 48 3982944.2 46.676629
|
| 163 |
+
150000 3384.6674 4026153 178029 153689 48 3985790.7 46.689927
|
| 164 |
+
160000 3622.3082 4025326 177226 152686 53 3988303.8 46.696937
|
| 165 |
+
170000 3860.6848 4024559 177428 153104 46 3990502.7 46.702082
|
| 166 |
+
180000 4098.5195 4025640 177737 153144 40 3992407.5 46.707972
|
| 167 |
+
190000 4336.5625 4025076 177758 153155 55 3994184.3 46.715942
|
| 168 |
+
200000 4574.1737 4025920 177338 152917 61 3995774.5 46.7194
|
| 169 |
+
Loop time of 4574.18 on 128 procs for 200000 steps with 4025920 particles
|
| 170 |
+
|
| 171 |
+
MPI task timing breakdown:
|
| 172 |
+
Section | min time | avg time | max time |%varavg| %total
|
| 173 |
+
---------------------------------------------------------------
|
| 174 |
+
Move | 0.034151 | 142.35 | 814.63 |1372.4 | 3.11
|
| 175 |
+
Coll | 2.6035 | 284.06 | 2952.2 |2852.5 | 6.21
|
| 176 |
+
Sort | 1.3564 | 99.515 | 510.25 |1232.3 | 2.18
|
| 177 |
+
Comm | 141.4 | 179.16 | 196 | 90.5 | 3.92
|
| 178 |
+
Modify | 0.046032 | 0.69359 | 11.549 | 187.2 | 0.02
|
| 179 |
+
Output | 0.021431 | 0.27794 | 0.31158 | 9.6 | 0.01
|
| 180 |
+
Other | | 3868 | | | 84.56
|
| 181 |
+
|
| 182 |
+
Particle moves = 799154894179 (799B)
|
| 183 |
+
Cells touched = 835294338589 (835B)
|
| 184 |
+
Particle comms = 567618233 (568M)
|
| 185 |
+
Boundary collides = 0 (0K)
|
| 186 |
+
Boundary exits = 56548335 (56.5M)
|
| 187 |
+
SurfColl checks = 454393488 (454M)
|
| 188 |
+
SurfColl occurs = 9343880 (9.34M)
|
| 189 |
+
Surf reactions = 0 (0K)
|
| 190 |
+
Collide attempts = 42138083063 (42.1B)
|
| 191 |
+
Collide occurs = 31776074247 (31.8B)
|
| 192 |
+
Reactions = 0 (0K)
|
| 193 |
+
Particles stuck = 0
|
| 194 |
+
Axisymm bad moves = 0
|
| 195 |
+
|
| 196 |
+
Particle-moves/CPUsec/proc: 1.36492e+06
|
| 197 |
+
Particle-moves/step: 3.99577e+06
|
| 198 |
+
Cell-touches/particle/step: 1.04522
|
| 199 |
+
Particle comm iterations/step: 1
|
| 200 |
+
Particle fraction communicated: 0.000710273
|
| 201 |
+
Particle fraction colliding with boundary: 0
|
| 202 |
+
Particle fraction exiting boundary: 7.07602e-05
|
| 203 |
+
Surface-checks/particle/step: 0.000568593
|
| 204 |
+
Surface-collisions/particle/step: 1.16922e-05
|
| 205 |
+
Surf-reactions/particle/step: 0
|
| 206 |
+
Collision-attempts/particle/step: 0.0527283
|
| 207 |
+
Collisions/particle/step: 0.0397621
|
| 208 |
+
Reactions/particle/step: 0
|
| 209 |
+
|
| 210 |
+
Particles: 31452.5 ave 219577 max 0 min
|
| 211 |
+
Histogram: 86 14 4 11 3 6 0 0 2 2
|
| 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) = 4.42969 0 23.625
|
| 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) = 24.0607 10.982 44.6695
|
| 249 |
+
Step CPU Np Natt Ncoll Nscoll Npave Nscollave
|
| 250 |
+
200000 0 4025920 177338 152917 0 0 0
|
| 251 |
+
210000 371.4519 4025582 177390 153093 52 4026344.1 47.0512
|
| 252 |
+
220000 741.49625 4025140 177648 153270 37 4026170.8 46.98835
|
| 253 |
+
230000 1111.7195 4023958 177431 152814 32 4025649.8 46.926267
|
| 254 |
+
240000 1485.304 4025922 177617 153073 43 4025466.8 46.88
|
| 255 |
+
250000 1855.1623 4026880 177558 153107 37 4025659 46.88744
|
| 256 |
+
260000 2223.7896 4025828 177353 152966 57 4025780.8 46.86805
|
| 257 |
+
270000 2585.2178 4025373 177214 152852 45 4025849.9 46.866357
|
| 258 |
+
280000 2946.5005 4026480 178001 153266 48 4025880.6 46.870537
|
| 259 |
+
290000 3307.6344 4023665 177343 152558 44 4025828.7 46.873089
|
| 260 |
+
300000 3667.9867 4026281 177841 153568 45 4025733.3 46.86914
|
| 261 |
+
Loop time of 3667.99 on 128 procs for 100000 steps with 4026281 particles
|
| 262 |
+
|
| 263 |
+
MPI task timing breakdown:
|
| 264 |
+
Section | min time | avg time | max time |%varavg| %total
|
| 265 |
+
---------------------------------------------------------------
|
| 266 |
+
Move | 0.045059 | 71.866 | 418.08 | 957.1 | 1.96
|
| 267 |
+
Coll | 1.4704 | 154.44 | 1757.6 |2132.0 | 4.21
|
| 268 |
+
Sort | 5.9382 | 59.881 | 289.42 | 866.0 | 1.63
|
| 269 |
+
Comm | 79.767 | 105.24 | 115.38 | 68.9 | 2.87
|
| 270 |
+
Modify | 30.249 | 192.67 | 1034.6 |1601.6 | 5.25
|
| 271 |
+
Output | 0.19136 | 0.19299 | 0.19755 | 0.3 | 0.01
|
| 272 |
+
Other | | 3084 | | | 84.07
|
| 273 |
+
|
| 274 |
+
Particle moves = 402573329013 (403B)
|
| 275 |
+
Cells touched = 420740478717 (421B)
|
| 276 |
+
Particle comms = 285116152 (285M)
|
| 277 |
+
Boundary collides = 0 (0K)
|
| 278 |
+
Boundary exits = 28468382 (28.5M)
|
| 279 |
+
SurfColl checks = 228547610 (229M)
|
| 280 |
+
SurfColl occurs = 4686914 (4.69M)
|
| 281 |
+
Surf reactions = 0 (0K)
|
| 282 |
+
Collide attempts = 21529053247 (21.5B)
|
| 283 |
+
Collide occurs = 16223749057 (16.2B)
|
| 284 |
+
Reactions = 0 (0K)
|
| 285 |
+
Particles stuck = 0
|
| 286 |
+
Axisymm bad moves = 0
|
| 287 |
+
|
| 288 |
+
Particle-moves/CPUsec/proc: 857447
|
| 289 |
+
Particle-moves/step: 4.02573e+06
|
| 290 |
+
Cell-touches/particle/step: 1.04513
|
| 291 |
+
Particle comm iterations/step: 1
|
| 292 |
+
Particle fraction communicated: 0.000708234
|
| 293 |
+
Particle fraction colliding with boundary: 0
|
| 294 |
+
Particle fraction exiting boundary: 7.0716e-05
|
| 295 |
+
Surface-checks/particle/step: 0.000567717
|
| 296 |
+
Surface-collisions/particle/step: 1.16424e-05
|
| 297 |
+
Surf-reactions/particle/step: 0
|
| 298 |
+
Collision-attempts/particle/step: 0.0534786
|
| 299 |
+
Collisions/particle/step: 0.0403001
|
| 300 |
+
Reactions/particle/step: 0
|
| 301 |
+
|
| 302 |
+
Particles: 31455.3 ave 219625 max 0 min
|
| 303 |
+
Histogram: 86 14 4 11 3 6 0 0 2 2
|
| 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 = 0.0665414 secs
|
| 317 |
+
write_surf surf/geom.surf
|
| 318 |
+
surf elements = 200
|
| 319 |
+
CPU time = 0.00346993 secs
|
CylinderKnMa/Kn0p12/simulation0180_Kn0p12Ma4p9/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/simulation0180_Kn0p12Ma4p9/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 0.01852 1.1288 -1.1286 0.01773 -0.00022094 -0.014064 -0.017731 5.758e-05 84.484 0 0
|
| 11 |
+
129 -0.31871 0.38526 -0.30645 0.39508 0.3757 23.247 14.535 -18.143 1.9744 1.5818 0.25932 -0.26013 2538.3 0 0
|
| 12 |
+
2 0.49975 -0.015705 0.49901 -0.031395 0.01931 1.1643 -1.163 0.054847 -0.00011398 -0.002417 -0.01827 0.00082353 87.405 0 0
|
| 13 |
+
130 -0.30645 0.39508 -0.29389 0.40451 0.35377 21.98 13.197 -17.577 2.0028 1.5037 0.23875 -0.25247 2435.1 0 0
|
| 14 |
+
3 0.49901 -0.031395 0.49778 -0.047054 0.01843 1.1014 -1.098 0.086414 -0.0032892 -0.041794 -0.017298 0.00070086 77.95 0 0
|
| 15 |
+
131 -0.29389 0.40451 -0.28104 0.41354 0.33966 21.061 12.11 -17.231 2.0821 1.4633 0.22292 -0.24767 2366 0 0
|
| 16 |
+
4 0.49778 -0.047054 0.49606 -0.062667 0.01863 1.1019 -1.0952 0.12092 -0.0028871 -0.026151 -0.017249 0.0014885 78.604 0 0
|
| 17 |
+
132 -0.28104 0.41354 -0.26791 0.42216 0.31391 19.429 10.667 -16.239 1.991 1.3078 0.19882 -0.23453 2127.8 0 0
|
| 18 |
+
5 0.49606 -0.062667 0.49384 -0.078217 0.01772 1.0693 -1.0586 0.15066 -0.001156 -0.0081222 -0.016646 0.0022389 83.58 0 0
|
| 19 |
+
133 -0.26791 0.42216 -0.25452 0.43037 0.30044 18.577 9.7064 -15.839 2.1166 1.297 0.18571 -0.22842 2072.1 0 0
|
| 20 |
+
6 0.49384 -0.078217 0.49114 -0.093691 0.01743 1.0487 -1.0331 0.1803 -0.0078231 -0.044824 -0.016349 0.0021279 60.545 0 0
|
| 21 |
+
134 -0.25452 0.43037 -0.24088 0.43815 0.27942 17.315 8.579 -15.041 1.9884 1.1342 0.16599 -0.21843 1965.8 0 0
|
| 22 |
+
7 0.49114 -0.093691 0.48796 -0.10907 0.01841 1.1156 -1.0925 0.22624 -0.0044445 -0.021462 -0.017229 0.0032165 76.342 0 0
|
| 23 |
+
135 -0.24088 0.43815 -0.227 0.4455 0.26851 16.687 7.8082 -14.747 2.0585 1.0899 0.15498 -0.21452 1872.5 0 0
|
| 24 |
+
8 0.48796 -0.10907 0.48429 -0.12434 0.01722 1.0427 -1.0139 0.2434 -0.012185 -0.050754 -0.016116 0.003026 67.516 0 0
|
| 25 |
+
136 -0.227 0.4455 -0.21289 0.45241 0.24924 15.535 6.8344 -13.951 2.045 1.0018 0.13947 -0.20339 1759.2 0 0
|
| 26 |
+
9 0.48429 -0.12434 0.48015 -0.1395 0.01657 0.97872 -0.94403 0.25826 -0.007596 -0.027766 -0.014948 0.0036204 71.733 0 0
|
| 27 |
+
137 -0.21289 0.45241 -0.19857 0.45888 0.2301 14.298 5.8837 -13.031 1.8759 0.847 0.12188 -0.19138 1608.7 0 0
|
| 28 |
+
10 0.48015 -0.1395 0.47553 -0.15451 0.01574 0.92815 -0.88712 0.27291 -0.011477 -0.037308 -0.014115 0.0037007 62.408 0 0
|
| 29 |
+
138 -0.19857 0.45888 -0.18406 0.46489 0.21792 13.443 5.1444 -12.42 1.893 0.7841 0.11054 -0.18276 1509.8 0 0
|
| 30 |
+
11 0.47553 -0.15451 0.47044 -0.16937 0.01519 0.89113 -0.84308 0.28865 -0.01012 -0.029558 -0.013402 0.0040697 65.354 0 0
|
| 31 |
+
139 -0.18406 0.46489 -0.16937 0.47044 0.20275 12.56 4.4395 -11.749 1.7969 0.679 0.097958 -0.17388 1436.6 0 0
|
| 32 |
+
12 0.47044 -0.16937 0.46489 -0.18406 0.01583 0.93753 -0.877 0.33139 -0.0047078 -0.012459 -0.013849 0.0050096 58.93 0 0
|
| 33 |
+
140 -0.16937 0.47044 -0.15451 0.47553 0.18953 11.8 3.8222 -11.164 1.9023 0.65132 0.089918 -0.16512 1400.7 0 0
|
| 34 |
+
13 0.46489 -0.18406 0.45888 -0.19857 0.01406 0.83119 -0.76792 0.31808 -0.0074307 -0.017939 -0.012179 0.0047144 71.889 0 0
|
| 35 |
+
141 -0.15451 0.47553 -0.1395 0.48015 0.17475 10.858 3.1926 -10.378 1.7029 0.5239 0.076896 -0.15478 1264.5 0 0
|
| 36 |
+
14 0.45888 -0.19857 0.45241 -0.21289 0.01361 0.79849 -0.72775 0.32859 -0.01211 -0.026822 -0.011621 0.00474 71.434 0 0
|
| 37 |
+
142 -0.1395 0.48015 -0.12434 0.48429 0.16446 10.188 2.6882 -9.8266 1.7638 0.48253 0.06993 -0.14677 1204.4 0 0
|
| 38 |
+
15 0.45241 -0.21289 0.4455 -0.227 0.01406 0.82729 -0.74293 0.36396 0.010044 0.020503 -0.011512 0.0060389 67.272 0 0
|
| 39 |
+
143 -0.12434 0.48429 -0.10907 0.48796 0.14967 9.352 2.1832 -9.0936 1.685 0.40453 0.060758 -0.13648 1114.5 0 0
|
| 40 |
+
16 0.4455 -0.227 0.43815 -0.24088 0.01218 0.71848 -0.63497 0.3362 0.007346 0.013874 -0.0098582 0.0054987 64.849 0 0
|
| 41 |
+
144 -0.10907 0.48796 -0.093691 0.49114 0.14107 8.7377 1.7719 -8.5561 1.5699 0.3251 0.05249 -0.12929 1027.6 0 0
|
| 42 |
+
17 0.43815 -0.24088 0.43037 -0.25452 0.01143 0.68368 -0.59387 0.33874 0.01445 0.025334 -0.0091011 0.0057185 55.94 0 0
|
| 43 |
+
145 -0.093691 0.49114 -0.078217 0.49384 0.13028 8.0539 1.3847 -7.934 1.63 0.28448 0.047353 -0.12015 969.13 0 0
|
| 44 |
+
18 0.43037 -0.25452 0.42216 -0.26791 0.01086 0.64264 -0.54794 0.33578 0.025364 0.04139 -0.0082083 0.0059243 62.746 0 0
|
| 45 |
+
146 -0.078217 0.49384 -0.062667 0.49606 0.12094 7.5003 1.0568 -7.4255 1.5144 0.21553 0.040387 -0.11325 896.48 0 0
|
| 46 |
+
19 0.42216 -0.26791 0.41354 -0.28104 0.0102 0.59598 -0.49813 0.32721 0.047919 0.072949 -0.0070715 0.0062854 54.078 0 0
|
| 47 |
+
147 -0.062667 0.49606 -0.047054 0.49778 0.11126 6.8488 0.75155 -6.8074 1.435 0.15843 0.034345 -0.10444 831.36 0 0
|
| 48 |
+
20 0.41354 -0.28104 0.40451 -0.29389 0.00924 0.54261 -0.44393 0.312 0.052569 0.074798 -0.0061473 0.0060756 62.733 0 0
|
| 49 |
+
148 -0.047054 0.49778 -0.031395 0.49901 0.10093 6.2303 0.48882 -6.2111 1.3281 0.10452 0.028538 -0.095918 745.46 0 0
|
| 50 |
+
21 0.40451 -0.29389 0.39508 -0.30645 0.00849 0.4957 -0.3964 0.29763 0.061862 0.082392 -0.0052547 0.0059691 54.562 0 0
|
| 51 |
+
149 -0.031395 0.49901 -0.015705 0.49975 0.09283 5.7376 0.27028 -5.7313 1.2464 0.058778 0.023823 -0.0891 690.33 0 0
|
| 52 |
+
22 0.39508 -0.30645 0.38526 -0.31871 0.00803 0.46317 -0.36147 0.2896 0.078028 0.097395 -0.0044522 0.0060786 56.114 0 0
|
| 53 |
+
150 -0.015705 0.49975 0 0.5 0.08632 5.32 0.083562 -5.3193 1.2787 0.020087 0.021397 -0.083236 658.84 0 0
|
| 54 |
+
23 0.38526 -0.31871 0.37506 -0.33066 0.00757 0.43613 -0.33164 0.28324 0.090119 0.10552 -0.0037936 0.0061064 64.831 0 0
|
| 55 |
+
151 0 0.5 0.015705 0.49975 0.07827 4.8439 -0.076084 -4.8433 1.2124 -0.019045 0.017848 -0.076374 614.98 0 0
|
| 56 |
+
24 0.37506 -0.33066 0.36448 -0.34227 0.0076 0.44015 -0.32555 0.29623 0.10759 0.11824 -0.0034235 0.0065103 55.917 0 0
|
| 57 |
+
152 0.015705 0.49975 0.031395 0.49901 0.07255 4.48 -0.21104 -4.475 1.1542 -0.054432 0.014815 -0.071146 566.8 0 0
|
| 58 |
+
25 0.36448 -0.34227 0.35355 -0.35355 0.0075 0.42401 -0.30449 0.29507 0.13011 0.13426 -0.0027391 0.0067437 58.068 0 0
|
| 59 |
+
153 0.031395 0.49901 0.047054 0.49778 0.06466 3.9934 -0.31332 -3.9811 1.0277 -0.080882 0.011221 -0.063803 506.11 0 0
|
| 60 |
+
26 0.35355 -0.35355 0.34227 -0.36448 0.00825 0.46549 -0.32394 0.33428 0.15682 0.15197 -0.002625 0.0076378 66.767 0 0
|
| 61 |
+
154 0.047054 0.49778 0.062667 0.49606 0.05958 3.6593 -0.40156 -3.6372 1.0068 -0.11115 0.0095065 -0.058877 488.24 0 0
|
| 62 |
+
27 0.34227 -0.36448 0.33066 -0.37506 0.00894 0.50611 -0.34062 0.37433 0.17799 0.16196 -0.0025544 0.0084237 79.128 0 0
|
| 63 |
+
155 0.062667 0.49606 0.078217 0.49384 0.05407 3.3162 -0.46726 -3.2831 0.93578 -0.13318 0.0073593 -0.053661 431.7 0 0
|
| 64 |
+
28 0.33066 -0.37506 0.31871 -0.38526 0.009 0.51916 -0.33716 0.39477 0.19152 0.16357 -0.0022878 0.00877 76.596 0 0
|
| 65 |
+
156 0.078217 0.49384 0.093691 0.49114 0.04996 3.0845 -0.53032 -3.0386 0.90288 -0.15758 0.0058519 -0.050203 382.26 0 0
|
| 66 |
+
29 0.31871 -0.38526 0.30645 -0.39508 0.00987 0.56693 -0.35447 0.44245 0.21387 0.17134 -0.0022085 0.009641 86.317 0 0
|
| 67 |
+
157 0.093691 0.49114 0.10907 0.48796 0.04361 2.6599 -0.53939 -2.6046 0.82639 -0.17114 0.004508 -0.0436 365.59 0 0
|
| 68 |
+
30 0.30645 -0.39508 0.29389 -0.40451 0.01028 0.59615 -0.35794 0.47673 0.2444 0.1835 -0.0017834 0.010371 84.714 0 0
|
| 69 |
+
158 0.10907 0.48796 0.12434 0.48429 0.04083 2.5137 -0.58681 -2.4442 0.75043 -0.18016 0.00257 -0.041222 350.74 0 0
|
| 70 |
+
31 0.29389 -0.40451 0.28104 -0.41354 0.01168 0.67396 -0.38753 0.5514 0.25932 0.18225 -0.0020138 0.011524 103.8 0 0
|
| 71 |
+
159 0.12434 0.48429 0.1395 0.48015 0.0376 2.2783 -0.60119 -2.1976 0.75144 -0.20557 0.0023599 -0.037747 310.01 0 0
|
| 72 |
+
32 0.28104 -0.41354 0.26791 -0.42216 0.01267 0.7548 -0.4144 0.63087 0.29012 0.19057 -0.0019521 0.012903 107.1 0 0
|
| 73 |
+
160 0.1395 0.48015 0.15451 0.47553 0.03411 2.0263 -0.59582 -1.9368 0.62941 -0.19363 0.00052752 -0.033463 263.74 0 0
|
| 74 |
+
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163 0.18406 0.46489 0.19857 0.45888 0.0251 1.5124 -0.57876 -1.3973 0.53614 -0.22208 -0.00066948 -0.025435 213.19 0 0
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| 187 |
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106 -0.49384 0.078217 -0.49114 0.093691 0.76488 47.424 46.718 -8.1536 0.16087 0.92174 0.73634 -0.11359 5106.9 0 0
|
| 188 |
+
107 -0.49114 0.093691 -0.48796 0.10907 0.75159 46.656 45.687 -9.4613 0.20682 0.99871 0.72087 -0.13293 4980.8 0 0
|
| 189 |
+
108 -0.48796 0.10907 -0.48429 0.12434 0.74845 46.433 45.15 -10.84 0.2947 1.2275 0.71381 -0.15098 4983.6 0 0
|
| 190 |
+
109 -0.48429 0.12434 -0.48015 0.1395 0.73383 45.631 44.014 -12.041 0.35737 1.3063 0.69695 -0.16861 4877.6 0 0
|
| 191 |
+
110 -0.48015 0.1395 -0.47553 0.15451 0.72529 45.029 43.039 -13.24 0.45933 1.4931 0.68324 -0.18452 4781.9 0 0
|
| 192 |
+
111 -0.47553 0.15451 -0.47044 0.16937 0.7109 43.9 41.533 -14.22 0.54543 1.5931 0.66093 -0.19833 4606.8 0 0
|
| 193 |
+
112 -0.47044 0.16937 -0.46489 0.18406 0.6967 43.275 40.482 -15.297 0.64555 1.7084 0.646 -0.21344 4571.6 0 0
|
| 194 |
+
113 -0.46489 0.18406 -0.45888 0.19857 0.67994 42.135 38.928 -16.124 0.72289 1.7452 0.62281 -0.22586 4442 0 0
|
| 195 |
+
114 -0.45888 0.19857 -0.45241 0.21289 0.66779 41.373 37.708 -17.026 0.86942 1.9255 0.60595 -0.23718 4486 0 0
|
| 196 |
+
115 -0.45241 0.21289 -0.4455 0.227 0.64864 40.209 36.108 -17.689 0.89969 1.8365 0.5813 -0.24901 4297.6 0 0
|
| 197 |
+
116 -0.4455 0.227 -0.43815 0.24088 0.62995 39.107 34.561 -18.299 1.0828 2.045 0.55987 -0.25531 4241.7 0 0
|
| 198 |
+
117 -0.43815 0.24088 -0.43037 0.25452 0.61476 38.116 33.109 -18.885 1.1675 2.0468 0.53839 -0.26448 4064.2 0 0
|
| 199 |
+
118 -0.43037 0.25452 -0.42216 0.26791 0.59246 36.827 31.4 -19.242 1.2466 2.0343 0.5128 -0.27029 3972.5 0 0
|
| 200 |
+
119 -0.42216 0.26791 -0.41354 0.28104 0.57857 35.698 29.836 -19.599 1.3137 1.9999 0.48929 -0.27643 3764.2 0 0
|
| 201 |
+
120 -0.41354 0.28104 -0.40451 0.29389 0.55842 34.607 28.314 -19.899 1.4674 2.0879 0.46779 -0.27977 3702.7 0 0
|
| 202 |
+
121 -0.40451 0.29389 -0.39508 0.30645 0.53544 33.135 26.497 -19.895 1.535 2.0445 0.44032 -0.28038 3522.2 0 0
|
| 203 |
+
122 -0.39508 0.30645 -0.38526 0.31871 0.51559 31.975 24.954 -19.992 1.6732 2.0885 0.41825 -0.28122 3458.7 0 0
|
| 204 |
+
123 -0.38526 0.31871 -0.37506 0.33066 0.49399 30.601 23.269 -19.874 1.7218 2.016 0.39254 -0.2805 3323.3 0 0
|
| 205 |
+
124 -0.37506 0.33066 -0.36448 0.34227 0.47645 29.43 21.768 -19.807 1.7208 1.8911 0.36894 -0.28141 3159.5 0 0
|
| 206 |
+
125 -0.36448 0.34227 -0.35355 0.35355 0.45817 28.421 20.41 -19.779 1.868 1.9276 0.34993 -0.28039 3074.1 0 0
|
| 207 |
+
126 -0.35355 0.35355 -0.34227 0.36448 0.43666 27.013 18.799 -19.399 1.8828 1.8246 0.32486 -0.27605 2928.6 0 0
|
| 208 |
+
127 -0.34227 0.36448 -0.33066 0.37506 0.41074 25.39 17.088 -18.779 1.9459 1.7707 0.29897 -0.26716 2786.3 0 0
|
| 209 |
+
128 -0.33066 0.37506 -0.31871 0.38526 0.38685 24.063 15.628 -18.298 1.959 1.6732 0.27624 -0.26113 2675.4 0 0
|