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  1. .gitattributes +3 -0
  2. CylinderKnMa/Kn0p08/simulation0091_Kn0p08Ma6p0/Lambda/Lambda_14_300000.vtu +3 -0
  3. CylinderKnMa/Kn0p08/simulation0091_Kn0p08Ma6p0/grid/Grid_14_300000.vtu +3 -0
  4. CylinderKnMa/Kn0p08/simulation0091_Kn0p08Ma6p0/output/grid.300000.dat +3 -0
  5. CylinderKnMa/Kn0p12/simulation0159_Kn0p12Ma2p8/surf/Surf_300000.vtu +38 -0
  6. CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/Grid.pvd +9 -0
  7. CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/Lambda.pvd +9 -0
  8. CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/Lambda/Lambda_0_300000.vtu +0 -0
  9. CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/Lambda/Lambda_10_300000.vtu +0 -0
  10. CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/Lambda/Lambda_11_300000.vtu +0 -0
  11. CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/Lambda/Lambda_12_300000.vtu +27 -0
  12. CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/Lambda/Lambda_13_300000.vtu +27 -0
  13. CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/Lambda/Lambda_14_300000.vtu +27 -0
  14. CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/Lambda/Lambda_15_300000.vtu +27 -0
  15. CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/Lambda/Lambda_1_300000.vtu +0 -0
  16. CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/Lambda/Lambda_2_300000.vtu +0 -0
  17. CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/Lambda/Lambda_300000.pvtu +33 -0
  18. CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/Lambda/Lambda_3_300000.vtu +0 -0
  19. CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/Lambda/Lambda_4_300000.vtu +0 -0
  20. CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/Lambda/Lambda_5_300000.vtu +0 -0
  21. CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/Lambda/Lambda_6_300000.vtu +0 -0
  22. CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/Lambda/Lambda_7_300000.vtu +0 -0
  23. CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/Lambda/Lambda_8_300000.vtu +0 -0
  24. CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/Lambda/Lambda_9_300000.vtu +0 -0
  25. CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/Surf.pvd +9 -0
  26. CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/config.txt +78 -0
  27. CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/cylinder.surf +410 -0
  28. CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/gas.species +14 -0
  29. CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/gas.vhs +9 -0
  30. CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/grid/Grid_0_300000.vtu +0 -0
  31. CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/grid/Grid_10_300000.vtu +0 -0
  32. CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/grid/Grid_11_300000.vtu +0 -0
  33. CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/grid/Grid_12_300000.vtu +0 -0
  34. CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/grid/Grid_13_300000.vtu +0 -0
  35. CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/grid/Grid_14_300000.vtu +0 -0
  36. CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/grid/Grid_15_300000.vtu +0 -0
  37. CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/grid/Grid_1_300000.vtu +0 -0
  38. CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/grid/Grid_2_300000.vtu +0 -0
  39. CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/grid/Grid_300000.pvtu +41 -0
  40. CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/grid/Grid_3_300000.vtu +0 -0
  41. CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/grid/Grid_4_300000.vtu +0 -0
  42. CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/grid/Grid_6_300000.vtu +0 -0
  43. CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/grid/Grid_7_300000.vtu +0 -0
  44. CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/grid/Grid_8_300000.vtu +0 -0
  45. CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/grid/Grid_9_300000.vtu +0 -0
  46. CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/grid/final-grid.dat +0 -0
  47. CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/log.sparta +319 -0
  48. CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/mir.txt +3 -0
  49. CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/output/surf.300000.dat +209 -0
  50. CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/runmpirun128.sh +18 -0
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AQAAAACAAABABgAA4gUAAA==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AQAAAACAAABABgAAOgYAAA==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AQAAAACAAABABgAANQYAAA==eJwV0/0/FAYcwHEXQqM27dUikYeM8pAWIvpKNKxuOfOwyrM5uhtH61ZyV56SJNcRx1WezzPn3Lm7Ft+my1MoNoWWp4mVap2XHhxj2z/w+eX9+jje1NVv6jUEL+bz1gMzLrCj7DYxcHg/xP7m5vYYj8LgM11GHNEbDBpmvIj2x4A7eykxn+QP+s2ld9w3BYPB06yCIno4EKyHBYbl4fC90Vpa9FwkqAT63Xm1mwxXJkanv1E+CUqz2w4adVGBt5LZFDhHBbPPGQUpS1Q4ZMDxWM+ggrpgcePbjh9BVcWcPBYSA/W9Xp73RTSI0OjQC34cCy76vlXdszRY3HB1xUkQA58I95Vv3hYH6n+13RhpoIFjF0t9dyUNlEyDcVNNHPCSDIb446eAPFky5qp1Gg7wKH94k+jgw3AdyHc4A77MtsFb9gmwNzNeJrJlQPzAKPPg/HnIYwha4+qT4IGN8Pq8KBnekYHkdjENzpju8bQwT4eArQ6DOpszoDfwmy4150zwdym5tX9NNjgqG1tTwq7BUP8uUcV6NhSdzspTds6FpLyGkC3yXEhLUKgvT+YDZ3E9c0qpEIJNhM9PXOZC+X2dezeKb4La37XxJfNFQHxkmv6tYwlkx+/iKt0rBQOL8IP2S2XwCyfy9hPPCmBtImueSuZB7tP3zi8bK0Gc101zKqoGFafoScG6WtDsO60bXV0H0Xovfw6lNEBIt68F04cP/Uure0Pb+WBUncburm6CxrO+ZNFdAcg9v9Q+bNsMO9tK3o44CuHyLJVQ8k4IAVW2ffuIIlh10tpswmgB1uIFF/JgCwi35X6I2yMGw0a1nKk/xUBoT9e2PCsBsunmftteCYS2R/m1bJDC6ok9EU5eUni3wUgnniqFgLpJow8/SWGfz193OqykoGc8Yvy7phS2aE1YsoolMEuwmJ9LlwBUZX7e0y6GvtzH49oXxOB1LsX6MK8FbF5zl2o7RXCy4tOu7VeFkGnXKT0iaYbTfp+8srkmgLqAZR6f1ATlpFdRei8bIZqVXMnaWQ/IjRkxXKmG4aRTh3Lf8yAo1bynQl4GxwOJGpc8i6F8zMfhtXkB9Lffon+ksGF7n8Fvo3sugpox96hlJw2kz2iy1XYyHh+Y2SvWSMfZ2unwn5PY6NP/xTnrNg5yRklqZ52LsXWZmKMTW4ZB2mT3390qkcuuuzfgW4O9aiqOOXb1eHm/wQ8yVT42BrkfUjNpwsK8AJ2sRAGGXtVH8YtmtOGg60yPEKlzlat1iyLsuUuwDPy1BZ9kPJCvcxNja4eVd6utBIPf5JQpeUtwTeqG7cfmJZghzALvEQkurUmY7E+TYvFEmLsWT4pdopKwGyjFhwva4QVMKbq65lpHGUoxwlmkeFkjwb4XAs5wogRluR6l+f/15BcE5v5nxDhq/8E/e6kFVduJTSc/bcEdnRFxq9dE2EY2cTUeFmKdzGln9P1mNL0S+cMSqxk1fq1JWLwpwBcS3ZHreU045f8/NB8vTkdM+R3gY8w9M3X98QbUJ2myotbUY+Sw2Zz9xlq8pLWJOLhcjRNPPLRTd1ahLuU8+dwCD59zLN7A7goM2JZAMrUtx7N1OjrTVqX43xTXQmpK0Csv56jCtRjHrxQ2srNv4sRoBpvlwcXlmhNVy5QC/Mp+/NKb7/NROC0XLt+9jnKLA4dc0nJQYWZspZTFRu+79F1hRSwMHE9PSTXLRmZ3R4olPRNdFKZHUkozcPLh20itsXSMMDmXWmiYhlMuZQ9LB1NwSEG18nBLxhH4Vnmt53n0Szqmqc9joM+j19uzBhKwv2ZHdrfzGVxxCRJSSXRcUOR8/EODjnZslcl1Zj+hnphTtKUwHnOsvh6hvo/DjXbz1nsd4jElJexRwywNdRKPrv1nXxzaaOkT7GdoOGkXcYTOoGHyx3V6uiE09H4lqFYZouFWntFtzXIayk6QRM9UYrHvz6Gxw/IfkaCrpBo/TUVa5/MMGwUFuUNy4kIjBcXKup/Z9EShjHKkmuBARmY7c2F+Ihy9o2W9+7NDcT3tRmwRPxhlC6cW7x8PxKBdkpmrK/4YsJJ4nP+dP25dzJy3fn8YHziQFU+/O4idSXatQro7WseUEe6o7sZ/AQv7Jws=AQAAAACAAABABgAABQQAAA==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eJxjYBgFo2AUjIJRMApIBwAGQAABAQAAAACAAABABgAAFQAAAA==eJxjYBgFo2AUjIJRMApIBwAGQAABAQAAAACAAADAEgAA0gMAAA==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AQAAAACAAABABgAAXwEAAA==eJwtxVFEHAAAANBKkpzkJEmSJMlJkiRJkiRJkiQnSXKSJEmSJEmSJEmSZGYmmUmSJEmSJEkyMzOTzCRJkmT20Xs/LybqXazjHO8EB5zoJAed7BSnOs3pznCms5ztHOc6zyHnu8CFLnKxS1zqMpe7wpWucrVrXOs617vBjW5ys1vc6rDb3O4Od7rLEXe7x73uc78HPOghD3vEox7zuCc86SlPe8aznvO8F7zoJS97xate8wd/9Cd/9ro3/MVfvektb3vHu97zvg986CMf+8SnPvO5L3zpK1/7m7/7h3/6l3/7xrf+47++870f/OgnP/vFr37zP0dFvxfjWMc53gkOONFJDjrZKU51mtOd4UxnOds5znWeQ853gQtd5GKXuNRlLneFK13late41nWud4Mb3eRmt7jVYbe53R3udJcj7naPe93nfg940EMe9ohHPeZxT3jSU572jGc95/9sSVRSAQAAAACAAADIAAAADAAAAA==eJxjZh4eAADsVAJZ
37
+ </AppendedData>
38
+ </VTKFile>
CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/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/simulation0160_Kn0p12Ma2p9/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/simulation0160_Kn0p12Ma2p9/Lambda/Lambda_0_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/Lambda/Lambda_10_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/Lambda/Lambda_11_300000.vtu ADDED
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WNnYOTi5uHl4+hm/RZ2RiZmFlY+fg5OLm4eVj+FZ9RiZmFlY2dg5OLm4eXj6Gpc/IxMzCysbOwcnF/TH/P4i3fOA=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=AQAAAACAAAAgZwAAfyUAAA==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AQAAAACAAAAgZwAAPhoAAA==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AgAAAACAAAD4IAAAbxkAAJMHAAA=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BAAAAACAAACAHAAAohUAAJoVAACcFQAAFgUAAA==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eJztwTENAAAAw6C7/g3PxwIUAADAjwE0gnQF
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CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/Lambda/Lambda_13_300000.vtu ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ <?xml version="1.0"?>
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+ <VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
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+ <UnstructuredGrid>
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+ <Piece NumberOfPoints="3434" NumberOfCells="3300" >
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+ <PointData>
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+ </PointData>
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+ <CellData>
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+ <DataArray type="Float64" Name="xc" format="appended" RangeMin="-1.9795" RangeMax="0.9959" offset="5096" />
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+ <DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.11826" RangeMax="0.12184" offset="20012" />
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+ </CellData>
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+ <Points>
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+ </Points>
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+ <Cells>
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+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="40624" />
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+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="64536" />
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+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="70372" />
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+ </Cells>
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+ </Piece>
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+ </UnstructuredGrid>
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+ <AppendedData encoding="base64">
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_AQAAAACAAAAgZwAA2w4AAA==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AQAAAACAAAAgZwAA4QMAAA==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eJzt2kErAwAcQPELrRw0xLZkEk0SVy5KO01NbNNykG1lyk5ToxRtF4WDlSlKhlBrceEikdhBTbY2jTblsgk5EIctEXH1/wjv9PsE7/a8riNPQK3s9CLiPw8zc1/ONkSUTNvGe7RWRJTM5xwb1x5ElKxydb/PBxBR0pSpnnTsIaKk26aIaRKIKOnPvdUmXxBRMtp3GtoqLUNEwcf0zsdACyJKKmzLxkojIkrq48OpBxciSjr6zI3rs4go6U13TPSHEFEyONh0oTxHRMl0LG/J3iOiZMGS3V4pKkdEQdVvKPWIKGnuWvXp9Igo6Y7NJO/siCjpt3galryIKBmN6HdHgogo+WRo/a47RkRJRUxjytwioqTOUry58IGIko7IVbNTU4GIgj7DyVRNOyJKrl2G4ykrIkr+bbxjiChZOBsK2xcRUVJl6P1U7yOipPlAO/2cQETJ0Y6Sm81XRJT8AVoWcfk=AQAAAACAAAAgZwAAOiYAAA==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AgAAAACAAAD4IAAADhoAAL0HAAA=eJxN1GuoxVlBh+Gkthaxs2KTEYey2BbSMcqDRJ2z50hidmzISj+kCZGGlGZhRmYGOWnmJVNT03Ln0FiCpnbZYRCOomAhMdl4S7QxJTWtofGSmFjYfg6867/Wp+fjWvwW76dv/NJbbrt6+gO/7HhOfvmLww95xeeHn/y2zw6/8pN3Db/ja+8c/tz3fmL43j/10eEbn/Xh4ae8/l+Gb3nP+4f/8YvvGf7Ct90+vH3obcM/+qR3DD/t5W8ffvVb3jr8ro/fOvx/678dvu8D3jj8iEf/1fBvPOMNw3/22tcOv+/2Vw/f7Qu3DN/v3jcP/8RDXjH8jF942fCfv/TFwx940wuG7/7R5w1/z1c/e/jR93/m8LMf+fThx93tqcO3PuxJw5tX/tzw4+/86eG3fv+jhr/xOT8+/Iv//NDht9/nQdPW59O+Z9Omp9OO22m7k2mvzbTRetplNfwnt33xzfnHHn/n8Jfufsfw61512/CjHvjm4Xvc8Ybhv37qzcOP+YYXDt/z8PThX7v5McPvff+Dhr/76+8z/NwfvvvwP3zVO2/NN/36i4af+KHvGH7sPc/etLx9f7H8w6td/syDbxm+ePe/Dj/oL77mhvyJX7nf8PN3Nw7f/yueMPzzH3vm8Jt/6CXDX/e6V92w3Ocw/MZfetvwV77v9uGf/L6PDL9+/6nh47nMr/nLeww//LH3HP7fzb2G//Tvvnn4R37124f/577fNfzHH3zA8EOfvxv+7A0PHv6jT904/IO3PGL4roc/evjlq58Z/oG/ecLwf/7sk4df8k1PG/6Wx900/Olju955edO1tStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbVr2fp82vds2vR02nE7bXcy7bWZNlpPu6yGtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbVrefv+YvmHV7usXVm7snZl7cralbUra1fWrqxdy30Ow9qVtStrV9aufDyXWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snb90wN+89ralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2rVsfT7tezZtejrtuJ22O5n22kwbraddVsPalbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2rW8fX+x/MOrXdaurF1Zu7J2Ze3K2pW1K2tX1q7lPodh7cralbUra1c+nsusXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu971nc+4tnZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2LVufT/ueTZueTjtup+1Opr0200braZfVsHZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2LW/fXyz/8GqXtStrV9aurF1Zu7J2Ze3K2pW1a7nPYVi7snZl7cralY/nMmtX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aud3/rM6+tXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF3L1ufTvmfTpqfTjttpu5Npr8200XraZTWsXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF3L2/cXyz+82mXtytqVtStrV9aurF1Zu7J2Ze1a7nMY1q6sXVm7snbl47nM2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVteu99/qta2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStr17L1+bTv2bTp6bTjdtruZNprM220nnZZDWtX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStr1/L2/cXyD692WbuydmXtytqVtStrV9aurF1Zu5b7HIa1K2tX1q6sXfl4LrN2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtet/6WdfWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q5l6/Np37Np09Npx+203cm012baaD3tshrWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q7l7fuL5R9e7bJ2Ze3K2pW1K2tX1q6sXVm7snYt9zkMa1fWrqxdWbvy8Vxm7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2vX+L//ta2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStr17L1+bTv2bTp6bTjdtruZNprM220nnZZDWtX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStr1/L2/cXyD692WbuydmXtytqVtStrV9aurF1Zu5b7HIa1K2tX1q6sXfl4LrN2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXt+sAXlnZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2LVufT/ueTZueTjtup+1Opr0200braZfVsHZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2LW/fXyz/8GqXtStrV9aurF1Zu7J2Ze3K2pW1a7nPYVi7snZl7cralY/nMmtX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9auD9717GtrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra9ey9fm079m06em043ba7mTaazNttJ52WQ1rV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra9fy9v3F8g+vdlm7snZl7cralbUra1fWrqxdWbuW+xyGtStrV9aurF35eC6zdmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7brjY8+5tnZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2LVufT/ueTZueTjtup+1Opr0200braZfVsHZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2LW/fXyz/8GqXtStrV9aurF1Zu7J2Ze3K2pW1a7nPYVi7snZl7cralY/nMmtX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9auD33wudfWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q5l6/Np37Np09Npx+203cm012baaD3tshrWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q7l7fuL5R9e7bJ2Ze3K2pW1K2tX1q6sXVm7snYt9zkMa1fWrqxdWbvy8Vxm7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2vXh2593be3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtWrY+n/Y9mzY9nXbcTtudTHttpo3W0y6rYe3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtWt6+v1j+4dUua1fWrqxdWbuydmXtytqVtStr13Kfw7B2Ze3K2pW1Kx/PZdaurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdH/n737m2dmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snYtW59P+55Nm55OO26n7U6mvTbTRutpl9WwdmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snYtb99fLP/wape1K2tX1q6sXVm7snZl7cralbVruc9hWLuydmXtytqVj+cya1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q5/u/X519aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrmXr82nfs2nT02nH7bTdybTXZtpoPe2yGtaurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWruXt+4vlH17tsnZl7cralbUra1fWrqxdWbuydi33OQxrV9aurF1Zu/LxXGbtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cra9dHD715bu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuWrc+nfc+mTU+nHbfTdifTXptpo/W0y2pYu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuWt+8vln94tcvalbUra1fWrqxdWbuydmXtytq13OcwrF1Zu7J2Ze3Kx3OZtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra9fHX/OCa2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStr17L1+bTv2bTp6bTjdtruZNprM220nnZZDWtX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStr1/L2/cXyD692WbuydmXtytqVtStrV9aurF1Zu5b7HIa1K2tX1q6sXfl4LrN2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXt+vebX3ht7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze1atj6f9j2bNj2ddtxO251Me22mjdbTLqth7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze1a3r6/WP7h1S5rV9aurF1Zu7J2Ze3K2pW1K2vXcp/DsHZl7cralbUrH89l1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF2ffOmLrq1dWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXcvW59O+Z9Omp9OO22m7k2mvzbTRetplNaxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXcvb9xfLP7zaZe3K2pW1K2tX1q6sXVm7snZl7VrucxjWrqxdWbuyduXjuczalbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW16z+e93vX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9auZevzad+zadPTacfttN3JtNdm2mg97bIa1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9au5e37i+UfXu2ydmXtytqVtStrV9aurF1Zu7J2Lfc5DGtX1q6sXVm78vFcZu3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytp1500vvrZ2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydi1bn0/7nk2bnk47bqftTqa9NtNG62mX1bB2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydi1v318s//Bql7Ura1fWrqxdWbuydmXtytqVtWu5z2FYu7J2Ze3K2pWP5zJrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrv96ykuurV1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdy9bn075n06an047babuTaa/NtNF62mU1rF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdy9v3F8s/vNpl7cralbUra1fWrqxdWbuydmXtWu5zGNaurF1Zu7J25eO5zNqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbXrrie+9NralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2rVsfT7tezZtejrtuJ22O5n22kwbraddVsPalbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2rW8fX+x/MOrXdaurF1Zu7J2Ze3K2pW1K2tX1q7lPodh7cralbUra1c+nsusXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zuz792N+/tnZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2LVufT/ueTZueTjtup+1Opr0200braZfVsHZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2LW/fXyz/8GqXtStrV9aurF1Zu7J2Ze3K2pW1a7nPYVi7snZl7cralY/nMmtX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9auzzzyZdfWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q5l6/Np37Np09Npx+203cm012baaD3tshrWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q7l7fuL5R9e7bJ2Ze3K2pW1K2tX1q6sXVm7snYt9zkMa1fWrqxdWbvy8Vxm7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2vXfD3v5tbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1a9n6fNr3bNr0dNpxO213Mu21mTZaT7ushrUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1a3n7/mL5h1e7rF1Zu7J2Ze3K2pW1K2tX1q6sXct9DsPalbUra1fWrnw8l1m7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2fe7Bf3Bt7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze1atj6f9j2bNj2ddtxO251Me22mjdbTLqth7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze1a3r6/WP7h1S5rV9aurF1Zu7J2Ze3K2pW1K2vXcp/DsHZl7cralbUrH89l1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF2fP//Da2tX1q6sXfz/UuH9+3icTdR7qNNlHMfxCU2TWHYZFbFKYibCjHRI1DYnidns0E3/KBMiDSntgimVGaQoYYVUZCQ5PXUsIVO7LAzCCwoGEhaWmVR2AQsjQUtC7WS294H39/c8f73+fB4+D+9cLpdb+/uxHSdrb0zoMrfngqPhv68/Eh5+3+Fwz3M/h5/c9EO4b//B8Bf9+8Onr94XLk/ZG75j3p7wolW7w+t37Ax/9du28JnCp+FR47aEp834KPzs0s3h9zZsCB/Ytz486HRfePTw3vDdk1eHlz76evj9114Nf7f1pfDgwy+Gx5y3PDxj7LLw8nsWh2cPWhjedvu8cHHtQ+E5R+8P77xxeviy5+8KP/btlPDuERPDpQW18Pxd1WTTSrJjOdmulOxVTDYqJLvkw2/v7d+u75xzNHx28KHwxnV7w9MnbA8PObQ5/PHC3vDMS14OD+ssDj/dOzP8zcGJ4esuGhF+4dbB4c+HfrlNL3nmlfAjP44MzxpW3Zq9vV3P/mGrof+a1Beuf/1TeOIH54/XR54YHV7R6AmPPWdu+OFfl4W337IyfOHGdeOz+3TCWx7fFT73wL7wvTf8Et7UPh7unqZ+98Mh4amzhoX/LV4afuezK8O3PXVN+NSoa8NvfT8uPGVFI3xi/KTwmuM94Zv7poWPTZ0RXpV/IHzTJ3PDfzw4P7zy8kXhq2YvCf/Zc3bHqTGrB1xa0B+evPpkeP6uE2HapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWlXtnUt2beabFpJdiwn25WSvYrJRoVkl3yYdmnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admVvb9ezf9hqaNqlaZemXZp2adqlaZemXZp2adqV3acTpl2admnapWmX7p6mpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2adv0zsj1g2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2pVtXUv2rSabVpIdy8l2pWSvYrJRIdklH6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6Zd2dvb9ewfthqadmnapWmXpl2admnapWmXpl2admX36YRpl6ZdmnZp2qW7p6lpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6Zd/VesGTDt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTtyrauJftWk00ryY7lZLtSslcx2aiQ7JIP0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL067s7e169g9bDU27NO3StEvTLk27NO3StEvTLk27svt0wrRL0y5NuzTt0t3T1LRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL064zF68dMO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3Ktq4l+1aTTSvJjuVku1KyVzHZqJDskg/TLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTruzt7Xr2D1sNTbs07dK0S9MuTbs07dK0S9MuTbuy+3TCtEvTLk27NO3S3dPUtEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTrv+G9g6YdmnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admVb15J9q8mmlWTHcrJdKdmrmGxUSHbJh2mXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWlX9vZ2PfuHrYamXZp2adqlaZemXZp2adqlaZemXdl9OmHapWmXpl2adunuaWrapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWlXLvfmgGmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWlXtnUt2beabFpJdiwn25WSvYrJRoVkl3yYdmnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admVvb9ezf9hqaNqlaZemXZp2adqlaZemXZp2adqV3acTpl2admnapWmX7p6mpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl36f/K1n7E=BAAAAACAAACAHAAAohUAAJoVAACcFQAAFgUAAA==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CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/Lambda/Lambda_14_300000.vtu ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
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+ <VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
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+ <UnstructuredGrid>
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+ <Piece NumberOfPoints="3434" NumberOfCells="3300" >
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+ <PointData>
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+ </PointData>
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+ <CellData>
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+ <DataArray type="Float64" Name="xc" format="appended" RangeMin="1.026" RangeMax="4.0014" offset="5080" />
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+ <DataArray type="Float64" Name="yc" format="appended" RangeMin="4.024" RangeMax="4.985" offset="6400" />
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+ <DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.069145" RangeMax="0.12166" offset="30952" />
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+ </CellData>
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+ <Points>
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+ </Points>
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+ <Cells>
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+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="64948" />
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+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="88860" />
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+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="94696" />
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+ </Cells>
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+ </Piece>
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+ </UnstructuredGrid>
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+ <AppendedData encoding="base64">
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zsLKxc3BycfPw8jF8hz4jEzMLKxs7BycXNw8vH8N36jMyMbOwsrFzcHJx8/DyMXyXPiMT80/4/wFi7RoHAQAAAACAAAAgZwAAzAMAAA==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eJzt2kErAwAcQPELrRw0xLZkEk0SVy5KO01NbNNykG1lyk5ToxRtF4WDlSlKhlBrceEikdhBTbY2jTblsgk5EIctEXH1/wjv9PsE7/a8riNPQK3s9CLiPw8zc1/ONkSUTNvGe7RWRJTM5xwb1x5ElKxydb/PBxBR0pSpnnTsIaKk26aIaRKIKOnPvdUmXxBRMtp3GtoqLUNEwcf0zsdACyJKKmzLxkojIkrq48OpBxciSjr6zI3rs4go6U13TPSHEFEyONh0oTxHRMl0LG/J3iOiZMGS3V4pKkdEQdVvKPWIKGnuWvXp9Igo6Y7NJO/siCjpt3galryIKBmN6HdHgogo+WRo/a47RkRJRUxjytwioqTOUry58IGIko7IVbNTU4GIgj7DyVRNOyJKrl2G4ykrIkr+bbxjiChZOBsK2xcRUVJl6P1U7yOipPlAO/2cQETJ0Y6Sm81XRJT8AVoWcfk=AQAAAACAAAAgZwAAZkYAAA==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AQAAAACAAAAgZwAAGkAAAA==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BAAAAACAAACAHAAAohUAAJoVAACcFQAAFgUAAA==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eJztwTENAAAAw6C7/g3PxwIUAADAjwE0gnQF
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CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/Lambda/Lambda_15_300000.vtu ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ <?xml version="1.0"?>
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+ <UnstructuredGrid>
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+ <Piece NumberOfPoints="2278" NumberOfCells="2178" >
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+ <PointData>
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+ </PointData>
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+ <DataArray type="Float64" Name="xc" format="appended" RangeMin="4.0314" RangeMax="5.985" offset="3448" />
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+ <Points>
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+ </Points>
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+ <Cells>
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+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="49816" />
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+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="65208" />
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+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="69108" />
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+ </Cells>
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+ </Piece>
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+ </UnstructuredGrid>
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+ <AppendedData encoding="base64">
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_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=AQAAAACAAAAQRAAA8zkAAA==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AQAAAACAAAAQRAAAWQsAAA==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AQAAAACAAACCCAAAGQAAAA==eJzj5BwFo2AUjIJRMApGwSigNwAA+uhMkw==
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+ </VTKFile>
CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/Lambda/Lambda_1_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/Lambda/Lambda_2_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/Lambda/Lambda_300000.pvtu ADDED
@@ -0,0 +1,33 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
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+ <VTKFile type="PUnstructuredGrid" version="0.1"
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+ byte_order="LittleEndian"
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+ compressor="vtkZLibDataCompressor">
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+ <PUnstructuredGrid GhostLevel="0">
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+ <PCellData>
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+ <PDataArray type="Float64" Name="id"/>
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+ <PDataArray type="Float64" Name="xc"/>
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+ <PDataArray type="Float64" Name="yc"/>
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+ <PDataArray type="Float64" Name="c_6[1]"/>
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+ <PDataArray type="Float64" Name="c_6[2]"/>
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+ </PCellData>
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+ <PPoints>
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+ <PDataArray type="Float32" Name="Points" NumberOfComponents="3"/>
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+ </PPoints>
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+ <Piece Source="Lambda_0_300000.vtu"/>
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+ <Piece Source="Lambda_1_300000.vtu"/>
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+ <Piece Source="Lambda_2_300000.vtu"/>
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+ <Piece Source="Lambda_3_300000.vtu"/>
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+ <Piece Source="Lambda_4_300000.vtu"/>
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+ <Piece Source="Lambda_5_300000.vtu"/>
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+ <Piece Source="Lambda_6_300000.vtu"/>
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+ <Piece Source="Lambda_7_300000.vtu"/>
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+ <Piece Source="Lambda_8_300000.vtu"/>
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+ <Piece Source="Lambda_9_300000.vtu"/>
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+ <Piece Source="Lambda_10_300000.vtu"/>
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+ <Piece Source="Lambda_11_300000.vtu"/>
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+ <Piece Source="Lambda_12_300000.vtu"/>
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+ <Piece Source="Lambda_13_300000.vtu"/>
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+ <Piece Source="Lambda_14_300000.vtu"/>
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+ <Piece Source="Lambda_15_300000.vtu"/>
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+ </PUnstructuredGrid>
33
+ </VTKFile>
CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/Lambda/Lambda_3_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/Lambda/Lambda_4_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/Lambda/Lambda_5_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/Lambda/Lambda_6_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/Lambda/Lambda_7_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/Lambda/Lambda_8_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/Lambda/Lambda_9_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/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/simulation0160_Kn0p12Ma2p9/config.txt ADDED
@@ -0,0 +1,78 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ variable BZ equal 1.380649E-23
2
+ variable PI equal 3.1415926536
3
+ variable molecular_mass equal 6.63E-26
4
+ variable molecular_diameter equal 4.17E-10
5
+ variable gamma equal 1.666666667
6
+ variable R equal ${BZ}/${molecular_mass}
7
+ variable L equal 1.0
8
+ variable xmin equal -5.0
9
+ variable xmax equal 6.0
10
+ variable ymin equal -5.0
11
+ variable ymax equal 5.0
12
+ variable Kn equal 0.12
13
+ variable Ma equal 2.9
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/simulation0160_Kn0p12Ma2p9/cylinder.surf ADDED
@@ -0,0 +1,410 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ surf file from Pointwise
2
+
3
+ 200 points
4
+ 200 lines
5
+
6
+ Points
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+
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CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/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/simulation0160_Kn0p12Ma2p9/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/simulation0160_Kn0p12Ma2p9/grid/Grid_0_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/grid/Grid_10_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/grid/Grid_11_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/grid/Grid_12_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/grid/Grid_13_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/grid/Grid_14_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/grid/Grid_15_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/grid/Grid_1_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/grid/Grid_2_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/grid/Grid_300000.pvtu ADDED
@@ -0,0 +1,41 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <VTKFile type="PUnstructuredGrid" version="0.1"
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+ byte_order="LittleEndian"
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+ compressor="vtkZLibDataCompressor">
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+ <PUnstructuredGrid GhostLevel="0">
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+ <PCellData>
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+ <PDataArray type="Float64" Name="id"/>
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+ <PDataArray type="Float64" Name="xc"/>
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+ <PDataArray type="Float64" Name="yc"/>
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+ <PDataArray type="Float64" Name="f_1[1]"/>
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+ <PDataArray type="Float64" Name="f_1[2]"/>
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+ <PDataArray type="Float64" Name="f_1[3]"/>
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+ <PDataArray type="Float64" Name="f_1[5]"/>
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+ <PDataArray type="Float64" Name="f_1[6]"/>
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+ <PDataArray type="Float64" Name="f_1[7]"/>
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+ <PDataArray type="Float64" Name="f_1[8]"/>
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+ <PDataArray type="Float64" Name="f_1[9]"/>
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+ <PDataArray type="Float64" Name="f_1[10]"/>
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+ </PCellData>
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+ <PPoints>
22
+ <PDataArray type="Float32" Name="Points" NumberOfComponents="3"/>
23
+ </PPoints>
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+ <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/simulation0160_Kn0p12Ma2p9/grid/Grid_3_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/grid/Grid_4_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/grid/Grid_6_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/grid/Grid_7_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/grid/Grid_8_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/grid/Grid_9_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/grid/final-grid.dat ADDED
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CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/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 2.9
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 2.9*${sos}
38
+ variable vo equal 2.9*307.815564238681
39
+ variable vx equal ${vo}*cos(${theta}*2*PI/360)
40
+ variable vx equal 892.665136292175*cos(${theta}*2*PI/360)
41
+ variable vx equal 892.665136292175*cos(0*2*PI/360)
42
+ variable vy equal ${vo}*sin(${theta}*2*PI/360)
43
+ variable vy equal 892.665136292175*sin(${theta}*2*PI/360)
44
+ variable vy equal 892.665136292175*sin(0*2*PI/360)
45
+ variable ppc equal 30
46
+ variable xncells equal (${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}/${xncells}/10/4
68
+ variable tstep equal (--5+6)/892.665136292175/${xncells}/10/4
69
+ variable tstep equal (--5+6)/892.665136292175/366.666666666667/10/4
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 8.40180678630782e-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 = 0.462342 secs
101
+ create/ghost percent = 0.824512 99.1755
102
+ balance_grid rcb cell
103
+ Balance grid migrated 527129 cells
104
+ CPU time = 0.330157 secs
105
+ reassign/sort/migrate/ghost percent = 20.0655 0.0419464 7.99959 71.893
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 892.665136292175 ${vy} 0.0 temp ${To}
110
+ mixture air Ar vstream 892.665136292175 0 0.0 temp ${To}
111
+ mixture air Ar vstream 892.665136292175 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 = 0.464484 secs
125
+ read/check/sort/surf2grid/ghost/inout/particle percent = 4.4511 6.56082 0.613798 14.3414 74.0329 1.51314 0.0350604
126
+ surf2grid time = 0.0666134 secs
127
+ map/comm1/comm2/comm3/comm4/split percent = 23.389 18.4679 21.0039 8.14888 4.10852 2.62826
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 = 0.250218 secs
134
+ reassign/sort/migrate/ghost percent = 1.7022 0.0231918 3.51738 94.7572
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 = 0.0577821 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 141.03009 3687490 237470 196284 25 3648601.6 31.4397
150
+ 20000 348.97744 3889282 266564 222623 30 3729780.9 31.398
151
+ 30000 585.63566 3945014 273173 228624 38 3794386 31.487033
152
+ 40000 828.32475 3959067 274065 229228 33 3834123.2 31.551625
153
+ 50000 1073.3822 3961499 274936 229694 36 3859467.3 31.61498
154
+ 60000 1317.0009 3963971 275209 230198 42 3876775.6 31.676067
155
+ 70000 1562.2956 3964184 274215 229528 29 3889464.4 31.691929
156
+ 80000 1807.1497 3966540 275289 230379 35 3899044.2 31.7098
157
+ 90000 2052.2738 3967069 275455 230624 25 3906600.4 31.742467
158
+ 100000 2297.0358 3966949 275109 230273 33 3912738.9 31.75177
159
+ 110000 2540.9394 3969931 275779 230788 34 3917757.5 31.765609
160
+ 120000 2785.6586 3969033 275505 230543 33 3922109.4 31.780725
161
+ 130000 3030.179 3964898 275437 230813 27 3925581.3 31.788077
162
+ 140000 3273.3827 3966032 275003 229656 38 3928449.8 31.796307
163
+ 150000 3518.1227 3967021 275253 230383 36 3931031.2 31.806527
164
+ 160000 3763.8809 3969759 275813 230626 33 3933348.5 31.810819
165
+ 170000 4009.6579 3965416 274956 230118 24 3935382.9 31.808424
166
+ 180000 4255.1921 3966946 275579 230657 29 3937090.5 31.814139
167
+ 190000 4500.2512 3965912 274953 229873 26 3938684.1 31.819316
168
+ 200000 4745.7505 3967491 275240 230572 32 3940096 31.821995
169
+ Loop time of 4745.76 on 128 procs for 200000 steps with 3967491 particles
170
+
171
+ MPI task timing breakdown:
172
+ Section | min time | avg time | max time |%varavg| %total
173
+ ---------------------------------------------------------------
174
+ Move | 0.035465 | 137.93 | 735.88 |1325.1 | 2.91
175
+ Coll | 2.5948 | 371.85 | 3319.1 |3013.0 | 7.84
176
+ Sort | 1.2626 | 100.38 | 500.44 |1223.9 | 2.12
177
+ Comm | 149.61 | 188.91 | 206.14 | 86.7 | 3.98
178
+ Modify | 0.03732 | 0.75784 | 11.895 | 194.7 | 0.02
179
+ Output | 0.020874 | 0.30095 | 0.34365 | 11.2 | 0.01
180
+ Other | | 3946 | | | 83.14
181
+
182
+ Particle moves = 788019206892 (788B)
183
+ Cells touched = 825921755633 (826B)
184
+ Particle comms = 590997663 (591M)
185
+ Boundary collides = 0 (0K)
186
+ Boundary exits = 61391986 (61.4M)
187
+ SurfColl checks = 228231348 (228M)
188
+ SurfColl occurs = 6364399 (6.36M)
189
+ Surf reactions = 0 (0K)
190
+ Collide attempts = 62056079827 (62.1B)
191
+ Collide occurs = 46422802874 (46.4B)
192
+ Reactions = 0 (0K)
193
+ Particles stuck = 0
194
+ Axisymm bad moves = 0
195
+
196
+ Particle-moves/CPUsec/proc: 1.29724e+06
197
+ Particle-moves/step: 3.9401e+06
198
+ Cell-touches/particle/step: 1.0481
199
+ Particle comm iterations/step: 1
200
+ Particle fraction communicated: 0.000749979
201
+ Particle fraction colliding with boundary: 0
202
+ Particle fraction exiting boundary: 7.79067e-05
203
+ Surface-checks/particle/step: 0.000289627
204
+ Surface-collisions/particle/step: 8.07645e-06
205
+ Surf-reactions/particle/step: 0
206
+ Collision-attempts/particle/step: 0.0787495
207
+ Collisions/particle/step: 0.0589108
208
+ Reactions/particle/step: 0
209
+
210
+ Particles: 30996 ave 195769 max 0 min
211
+ Histogram: 84 14 4 7 7 4 4 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) = 4.27148 0 20.25
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) = 23.9025 10.982 44.6695
249
+ Step CPU Np Natt Ncoll Nscoll Npave Nscollave
250
+ 200000 0 3967491 275240 230572 0 0 0
251
+ 210000 365.2793 3967265 275148 230297 35 3968790.1 31.9158
252
+ 220000 730.91809 3965639 274746 229825 43 3967506.8 31.91075
253
+ 230000 1095.202 3963966 274635 229852 27 3966697.5 31.9193
254
+ 240000 1460.1396 3966644 275012 230391 39 3966263.8 31.916175
255
+ 250000 1825.9635 3968405 275365 230693 31 3966592.8 31.89278
256
+ 260000 2191.5867 3966995 275176 230539 31 3966786.4 31.883333
257
+ 270000 2558.5515 3966566 274723 229989 38 3966842.4 31.872057
258
+ 280000 2925.3263 3967692 275022 230172 32 3966871.5 31.876838
259
+ 290000 3290.5679 3965798 274905 230299 33 3967030.3 31.868356
260
+ 300000 3656.4729 3968876 275735 230919 31 3967110.4 31.87402
261
+ Loop time of 3656.47 on 128 procs for 100000 steps with 3968876 particles
262
+
263
+ MPI task timing breakdown:
264
+ Section | min time | avg time | max time |%varavg| %total
265
+ ---------------------------------------------------------------
266
+ Move | 0.042573 | 70.998 | 378.14 | 928.6 | 1.94
267
+ Coll | 1.4088 | 202.1 | 1930.6 |2221.0 | 5.53
268
+ Sort | 5.8319 | 60.708 | 264.27 | 860.2 | 1.66
269
+ Comm | 85.059 | 104.57 | 114.57 | 64.1 | 2.86
270
+ Modify | 32.94 | 191.87 | 977.31 |1560.1 | 5.25
271
+ Output | 0.20788 | 0.20917 | 0.21251 | 0.2 | 0.01
272
+ Other | | 3026 | | | 82.76
273
+
274
+ Particle moves = 396711039098 (397B)
275
+ Cells touched = 415748355062 (416B)
276
+ Particle comms = 296751282 (297M)
277
+ Boundary collides = 0 (0K)
278
+ Boundary exits = 30862032 (30.9M)
279
+ SurfColl checks = 114466790 (114M)
280
+ SurfColl occurs = 3187402 (3.19M)
281
+ Surf reactions = 0 (0K)
282
+ Collide attempts = 31583597138 (31.6B)
283
+ Collide occurs = 23616611130 (23.6B)
284
+ Reactions = 0 (0K)
285
+ Particles stuck = 0
286
+ Axisymm bad moves = 0
287
+
288
+ Particle-moves/CPUsec/proc: 847621
289
+ Particle-moves/step: 3.96711e+06
290
+ Cell-touches/particle/step: 1.04799
291
+ Particle comm iterations/step: 1
292
+ Particle fraction communicated: 0.000748029
293
+ Particle fraction colliding with boundary: 0
294
+ Particle fraction exiting boundary: 7.77947e-05
295
+ Surface-checks/particle/step: 0.000288539
296
+ Surface-collisions/particle/step: 8.03457e-06
297
+ Surf-reactions/particle/step: 0
298
+ Collision-attempts/particle/step: 0.0796136
299
+ Collisions/particle/step: 0.059531
300
+ Reactions/particle/step: 0
301
+
302
+ Particles: 31006.8 ave 195215 max 0 min
303
+ Histogram: 84 14 4 7 6 5 4 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 = 0.0690642 secs
317
+ write_surf surf/geom.surf
318
+ surf elements = 200
319
+ CPU time = 0.00428557 secs
CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/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/simulation0160_Kn0p12Ma2p9/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 0.02009 0.6907 -0.69062 0.010849 -0.00012156 -0.007738 -0.01085 4.8866e-05 26.209 0 0
11
+ 129 -0.31871 0.38526 -0.30645 0.39508 0.25627 8.8289 5.5202 -6.8903 0.73512 0.58894 0.098254 -0.098978 484.19 0 0
12
+ 2 0.49975 -0.015705 0.49901 -0.031395 0.02048 0.70035 -0.69957 0.032991 -0.00045625 -0.0096747 -0.010996 0.00036624 23.963 0 0
13
+ 130 -0.30645 0.39508 -0.29389 0.40451 0.24523 8.4706 5.0859 -6.7738 0.75891 0.5698 0.091806 -0.097448 481.15 0 0
14
+ 3 0.49901 -0.031395 0.49778 -0.047054 0.01956 0.66396 -0.66192 0.052094 0.00016325 0.0020743 -0.010394 0.00085084 22.777 0 0
15
+ 131 -0.29389 0.40451 -0.28104 0.41354 0.23249 8.0433 4.625 -6.5807 0.77286 0.54317 0.084785 -0.094833 447.77 0 0
16
+ 4 0.49778 -0.047054 0.49606 -0.062667 0.01971 0.67433 -0.67025 0.073997 -0.0027138 -0.024582 -0.010571 0.00077618 21.927 0 0
17
+ 132 -0.28104 0.41354 -0.26791 0.42216 0.22014 7.6118 4.1791 -6.362 0.77451 0.50876 0.077808 -0.091939 427.98 0 0
18
+ 5 0.49606 -0.062667 0.49384 -0.078217 0.02007 0.68542 -0.67858 0.096577 -0.001784 -0.012535 -0.010687 0.0013201 23.047 0 0
19
+ 133 -0.26791 0.42216 -0.25452 0.43037 0.20999 7.2609 3.7938 -6.191 0.7653 0.46898 0.071612 -0.089877 403.52 0 0
20
+ 6 0.49384 -0.078217 0.49114 -0.093691 0.01919 0.64895 -0.63929 0.11157 -0.0029149 -0.016701 -0.010087 0.0014902 23.882 0 0
21
+ 134 -0.25452 0.43037 -0.24088 0.43815 0.19844 6.8317 3.3848 -5.9342 0.7943 0.45306 0.065643 -0.086094 398.47 0 0
22
+ 7 0.49114 -0.093691 0.48796 -0.10907 0.01962 0.66322 -0.64944 0.13449 -0.0049374 -0.023842 -0.010278 0.001738 19.99 0 0
23
+ 135 -0.24088 0.43815 -0.227 0.4455 0.18699 6.4511 3.0187 -5.7012 0.75666 0.40063 0.0593 -0.083258 358.41 0 0
24
+ 8 0.48796 -0.10907 0.48429 -0.12434 0.01949 0.65478 -0.63669 0.15286 -0.0052272 -0.021773 -0.010083 0.002059 22.513 0 0
25
+ 136 -0.227 0.4455 -0.21289 0.45241 0.17423 6.0189 2.6479 -5.4051 0.75768 0.37118 0.053493 -0.07907 348.49 0 0
26
+ 9 0.48429 -0.12434 0.48015 -0.1395 0.01841 0.62501 -0.60286 0.16492 -0.0063909 -0.023361 -0.0095697 0.0022236 19.374 0 0
27
+ 137 -0.21289 0.45241 -0.19857 0.45888 0.16788 5.7521 2.3671 -5.2425 0.75374 0.34033 0.049019 -0.076999 314.71 0 0
28
+ 10 0.48015 -0.1395 0.47553 -0.15451 0.01816 0.6101 -0.58313 0.17939 -0.0031836 -0.010348 -0.0092094 0.0026553 16.355 0 0
29
+ 138 -0.19857 0.45888 -0.18406 0.46489 0.15662 5.3541 2.0489 -4.9465 0.7334 0.30379 0.043703 -0.072925 296.77 0 0
30
+ 11 0.47553 -0.15451 0.47044 -0.16937 0.0179 0.59366 -0.56165 0.1923 -0.010023 -0.029275 -0.0089794 0.0025606 17.217 0 0
31
+ 139 -0.18406 0.46489 -0.16937 0.47044 0.14749 5.0692 1.7918 -4.742 0.74739 0.28242 0.039885 -0.070048 277.73 0 0
32
+ 12 0.47044 -0.16937 0.46489 -0.18406 0.01769 0.59748 -0.55891 0.21119 -0.0056524 -0.014959 -0.0088678 0.0030823 19.901 0 0
33
+ 140 -0.16937 0.47044 -0.15451 0.47553 0.13537 4.6803 1.516 -4.4279 0.6974 0.23877 0.034767 -0.065801 277.14 0 0
34
+ 13 0.46489 -0.18406 0.45888 -0.19857 0.01662 0.54756 -0.50588 0.20954 -0.0014319 -0.0034569 -0.0079685 0.003237 17.529 0 0
35
+ 141 -0.15451 0.47553 -0.1395 0.48015 0.12932 4.4487 1.3081 -4.2521 0.70752 0.21766 0.03166 -0.06337 248.04 0 0
36
+ 14 0.45888 -0.19857 0.45241 -0.21289 0.01573 0.53629 -0.48877 0.22069 -0.0055617 -0.012318 -0.0077647 0.003273 20.56 0 0
37
+ 142 -0.1395 0.48015 -0.12434 0.48429 0.12143 4.1879 1.1051 -4.0395 0.7263 0.19869 0.028766 -0.060328 235.14 0 0
38
+ 15 0.45241 -0.21289 0.4455 -0.227 0.01632 0.55196 -0.49568 0.24283 -0.004373 -0.0089265 -0.0078544 0.003674 19.122 0 0
39
+ 143 -0.12434 0.48429 -0.10907 0.48796 0.11258 3.8457 0.89776 -3.7394 0.69084 0.16586 0.024953 -0.056131 217.63 0 0
40
+ 16 0.4455 -0.227 0.43815 -0.24088 0.01511 0.49767 -0.43982 0.23287 0.0039883 0.0075326 -0.0068457 0.0037761 14.186 0 0
41
+ 144 -0.10907 0.48796 -0.093691 0.49114 0.10353 3.5429 0.71845 -3.4693 0.67865 0.14054 0.021945 -0.052285 209.22 0 0
42
+ 17 0.43815 -0.24088 0.43037 -0.25452 0.01465 0.4866 -0.42268 0.24109 0.0032852 0.0057595 -0.0065876 0.0038774 18.866 0 0
43
+ 145 -0.093691 0.49114 -0.078217 0.49384 0.09628 3.2851 0.5648 -3.2361 0.61705 0.10769 0.018564 -0.04914 194.2 0 0
44
+ 18 0.43037 -0.25452 0.42216 -0.26791 0.01341 0.44425 -0.37879 0.23212 0.0066221 0.010806 -0.0058457 0.0038158 19.159 0 0
45
+ 146 -0.078217 0.49384 -0.062667 0.49606 0.09191 3.1449 0.44312 -3.1135 0.62636 0.089144 0.016799 -0.047505 188.57 0 0
46
+ 19 0.42216 -0.26791 0.41354 -0.28104 0.01294 0.42451 -0.35481 0.23307 0.009621 0.014647 -0.005422 0.0038909 18.669 0 0
47
+ 147 -0.062667 0.49606 -0.047054 0.49778 0.08387 2.8357 0.31117 -2.8186 0.6005 0.066296 0.01432 -0.043231 157.96 0 0
48
+ 20 0.41354 -0.28104 0.40451 -0.29389 0.01223 0.40005 -0.3273 0.23003 0.0125 0.017785 -0.0049447 0.0038925 20.238 0 0
49
+ 148 -0.047054 0.49778 -0.031395 0.49901 0.08001 2.7111 0.21271 -2.7027 0.5689 0.044773 0.012277 -0.041749 154.45 0 0
50
+ 21 0.40451 -0.29389 0.39508 -0.30645 0.01213 0.39356 -0.31472 0.2363 0.030106 0.040097 -0.0044706 0.0043415 19.162 0 0
51
+ 149 -0.031395 0.49901 -0.015705 0.49975 0.07366 2.5345 0.11939 -2.5317 0.56909 0.026838 0.010814 -0.039345 144.75 0 0
52
+ 22 0.39508 -0.30645 0.38526 -0.31871 0.01106 0.34964 -0.27287 0.21861 0.032298 0.040315 -0.0037787 0.004067 14.479 0 0
53
+ 150 -0.015705 0.49975 0 0.5 0.06817 2.3102 0.036288 -2.31 0.5654 0.0088821 0.0094509 -0.036144 138.09 0 0
54
+ 23 0.38526 -0.31871 0.37506 -0.33066 0.01036 0.33276 -0.25303 0.21611 0.035309 0.041342 -0.0034198 0.0040438 9.8003 0 0
55
+ 151 0 0.5 0.015705 0.49975 0.06414 2.1577 -0.033891 -2.1574 0.49334 -0.0077501 0.0072168 -0.034009 130.59 0 0
56
+ 24 0.37506 -0.33066 0.36448 -0.34227 0.0102 0.32764 -0.24234 0.22051 0.054001 0.059346 -0.0029582 0.0043958 12.734 0 0
57
+ 152 0.015705 0.49975 0.031395 0.49901 0.05758 1.9425 -0.091503 -1.9403 0.49642 -0.023411 0.0063602 -0.030845 115.15 0 0
58
+ 25 0.36448 -0.34227 0.35355 -0.35355 0.00942 0.2998 -0.21529 0.20863 0.057014 0.058834 -0.0024861 0.0042012 20.676 0 0
59
+ 153 0.031395 0.49901 0.047054 0.49778 0.05336 1.8069 -0.14177 -1.8013 0.46987 -0.03698 0.0051536 -0.028875 102.36 0 0
60
+ 26 0.35355 -0.35355 0.34227 -0.36448 0.00923 0.29311 -0.20398 0.21049 0.063002 0.061053 -0.0022143 0.0042652 12.477 0 0
61
+ 154 0.047054 0.49778 0.062667 0.49606 0.0474 1.5989 -0.17545 -1.5892 0.4269 -0.04713 0.0039496 -0.025703 94.411 0 0
62
+ 27 0.34227 -0.36448 0.33066 -0.37506 0.00992 0.30789 -0.20721 0.22772 0.086698 0.078889 -0.001893 0.0048161 16.68 0 0
63
+ 155 0.062667 0.49606 0.078217 0.49384 0.04484 1.5105 -0.21284 -1.4955 0.4452 -0.063362 0.0036498 -0.024485 90.371 0 0
64
+ 28 0.33066 -0.37506 0.31871 -0.38526 0.00995 0.30616 -0.19883 0.2328 0.097155 0.082978 -0.0015971 0.0049601 16.654 0 0
65
+ 156 0.078217 0.49384 0.093691 0.49114 0.03995 1.3334 -0.22925 -1.3135 0.39539 -0.069007 0.0026097 -0.021716 83.59 0 0
66
+ 29 0.31871 -0.38526 0.30645 -0.39508 0.01072 0.3387 -0.21177 0.26433 0.11394 0.091286 -0.0015366 0.0055858 23.816 0 0
67
+ 157 0.093691 0.49114 0.10907 0.48796 0.03918 1.311 -0.26586 -1.2838 0.39938 -0.082707 0.0020972 -0.021464 76.277 0 0
68
+ 30 0.30645 -0.39508 0.29389 -0.40451 0.01104 0.35091 -0.21069 0.28062 0.11871 0.089129 -0.0014448 0.0058077 15.283 0 0
69
+ 158 0.10907 0.48796 0.12434 0.48429 0.03435 1.1427 -0.26676 -1.1111 0.35064 -0.084181 0.0013175 -0.018775 71.756 0 0
70
+ 31 0.29389 -0.40451 0.28104 -0.41354 0.01132 0.35851 -0.20614 0.29331 0.12257 0.086147 -0.0013126 0.0059603 21.901 0 0
71
+ 159 0.12434 0.48429 0.1395 0.48015 0.03137 1.0362 -0.27342 -0.99944 0.33076 -0.090484 0.00090066 -0.01712 60.366 0 0
72
+ 32 0.28104 -0.41354 0.26791 -0.42216 0.01299 0.41267 -0.22656 0.34491 0.15271 0.10031 -0.0011601 0.0069933 26.929 0 0
73
+ 160 0.1395 0.48015 0.15451 0.47553 0.02836 0.93214 -0.27409 -0.89093 0.32573 -0.10021 0.00081121 -0.015568 63.506 0 0
74
+ 33 0.26791 -0.42216 0.25452 -0.43037 0.01329 0.41947 -0.21917 0.35766 0.15346 0.094038 -0.0010323 0.007095 27.692 0 0
75
+ 161 0.15451 0.47553 0.16937 0.47044 0.02694 0.89088 -0.28857 -0.84285 0.28535 -0.097697 -5.0619e-05 -0.014773 53.459 0 0
76
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+ 119 -0.42216 0.26791 -0.41354 0.28104 0.37882 13.076 10.929 -7.1792 0.45745 0.6964 0.17886 -0.10183 696.75 0 0
201
+ 120 -0.41354 0.28104 -0.40451 0.29389 0.37102 12.763 10.442 -7.3387 0.51231 0.72894 0.17206 -0.10382 676.71 0 0
202
+ 121 -0.40451 0.29389 -0.39508 0.30645 0.35739 12.41 9.9243 -7.4514 0.56687 0.75499 0.16479 -0.10518 671.21 0 0
203
+ 122 -0.39508 0.30645 -0.38526 0.31871 0.34482 11.882 9.2731 -7.4292 0.58941 0.7357 0.15491 -0.10514 649.69 0 0
204
+ 123 -0.38526 0.31871 -0.37506 0.33066 0.33393 11.519 8.7592 -7.4811 0.57405 0.67212 0.1466 -0.10695 627.66 0 0
205
+ 124 -0.37506 0.33066 -0.36448 0.34227 0.32223 11.116 8.2221 -7.4815 0.62051 0.68193 0.13889 -0.1068 593.01 0 0
206
+ 125 -0.36448 0.34227 -0.35355 0.35355 0.30571 10.601 7.6127 -7.3772 0.6863 0.70821 0.13035 -0.10475 583.74 0 0
207
+ 126 -0.35355 0.35355 -0.34227 0.36448 0.29545 10.202 7.1 -7.3267 0.68748 0.66622 0.12232 -0.10462 543.85 0 0
208
+ 127 -0.34227 0.36448 -0.33066 0.37506 0.27944 9.7128 6.5368 -7.1839 0.74305 0.67612 0.11435 -0.10222 538.63 0 0
209
+ 128 -0.33066 0.37506 -0.31871 0.38526 0.26836 9.263 6.0158 -7.0436 0.71443 0.61018 0.10571 -0.10105 506.1 0 0
CylinderKnMa/Kn0p12/simulation0160_Kn0p12Ma2p9/runmpirun128.sh ADDED
@@ -0,0 +1,18 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #!/bin/bash
2
+ #SBATCH -J Cylinder——Kn
3
+ #SBATCH -p wzhcnormal
4
+ #SBATCH -N 2
5
+ #SBATCH --ntasks-per-node=64
6
+
7
+
8
+ module purge
9
+ module load compiler/devtoolset/7.3.1
10
+ module load mpi/hpcx/2.11.0/gcc-7.3.1
11
+ export UCX_WARN_UNUSED_ENV_VARS=n
12
+ /public/software/mpi/hpcx/v2.11.0/gcc-7.3.1/bin/mpirun -n 128 ../../../sep2024-sparta/src/spa_mpi <config.txt
13
+
14
+ /work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/grid2paraview.py mir.txt Grid -r ./output/grid.*.dat
15
+
16
+ /work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/grid2paraview.py mir.txt Lambda -r ./output/lambdakn.*.dat
17
+
18
+ /work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/surf2paraview.py ./surf/geom.surf Surf -r ./output/surf.*.dat