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  1. .gitattributes +6 -0
  2. CylinderKnMa/Kn0p28/simulation0588_Kn0p28Ma5p7/output/grid.300000.dat +3 -0
  3. CylinderKnMa/Kn0p28/simulation0589_Kn0p28Ma5p8/output/grid.300000.dat +3 -0
  4. CylinderKnMa/Kn0p28/simulation0590_Kn0p28Ma5p9/output/grid.300000.dat +3 -0
  5. CylinderKnMa/Kn0p28/simulation0592_Kn0p28Ma6p1/output/grid.300000.dat +3 -0
  6. CylinderKnMa/Kn0p28/simulation0593_Kn0p28Ma6p2/output/grid.300000.dat +3 -0
  7. CylinderKnMa/Kn0p28/simulation0594_Kn0p28Ma6p3/output/grid.300000.dat +3 -0
  8. CylinderKnMa/Kn0p32/simulation0670_Kn0p32Ma3p9/Grid.pvd +9 -0
  9. CylinderKnMa/Kn0p32/simulation0670_Kn0p32Ma3p9/Lambda.pvd +9 -0
  10. CylinderKnMa/Kn0p32/simulation0670_Kn0p32Ma3p9/Lambda/Lambda_0_300000.vtu +0 -0
  11. CylinderKnMa/Kn0p32/simulation0670_Kn0p32Ma3p9/Lambda/Lambda_1_300000.vtu +0 -0
  12. CylinderKnMa/Kn0p32/simulation0670_Kn0p32Ma3p9/Lambda/Lambda_2_300000.vtu +27 -0
  13. CylinderKnMa/Kn0p32/simulation0670_Kn0p32Ma3p9/Lambda/Lambda_300000.pvtu +21 -0
  14. CylinderKnMa/Kn0p32/simulation0670_Kn0p32Ma3p9/Lambda/Lambda_3_300000.vtu +27 -0
  15. CylinderKnMa/Kn0p32/simulation0670_Kn0p32Ma3p9/Surf.pvd +9 -0
  16. CylinderKnMa/Kn0p32/simulation0670_Kn0p32Ma3p9/config.txt +78 -0
  17. CylinderKnMa/Kn0p32/simulation0670_Kn0p32Ma3p9/cylinder.surf +410 -0
  18. CylinderKnMa/Kn0p32/simulation0670_Kn0p32Ma3p9/gas.species +14 -0
  19. CylinderKnMa/Kn0p32/simulation0670_Kn0p32Ma3p9/gas.vhs +9 -0
  20. CylinderKnMa/Kn0p32/simulation0670_Kn0p32Ma3p9/grid/Grid_0_300000.vtu +0 -0
  21. CylinderKnMa/Kn0p32/simulation0670_Kn0p32Ma3p9/grid/Grid_1_300000.vtu +0 -0
  22. CylinderKnMa/Kn0p32/simulation0670_Kn0p32Ma3p9/grid/Grid_2_300000.vtu +0 -0
  23. CylinderKnMa/Kn0p32/simulation0670_Kn0p32Ma3p9/grid/Grid_300000.pvtu +29 -0
  24. CylinderKnMa/Kn0p32/simulation0670_Kn0p32Ma3p9/grid/Grid_3_300000.vtu +35 -0
  25. CylinderKnMa/Kn0p32/simulation0670_Kn0p32Ma3p9/grid/final-grid.dat +0 -0
  26. CylinderKnMa/Kn0p32/simulation0670_Kn0p32Ma3p9/log.sparta +318 -0
  27. CylinderKnMa/Kn0p32/simulation0670_Kn0p32Ma3p9/mir.txt +3 -0
  28. CylinderKnMa/Kn0p32/simulation0670_Kn0p32Ma3p9/output/lambdakn.300000.dat +0 -0
  29. CylinderKnMa/Kn0p32/simulation0670_Kn0p32Ma3p9/output/surf.300000.dat +209 -0
  30. CylinderKnMa/Kn0p32/simulation0670_Kn0p32Ma3p9/runmpirun128.sh +18 -0
  31. CylinderKnMa/Kn0p32/simulation0670_Kn0p32Ma3p9/runmpirun64.sh +18 -0
  32. CylinderKnMa/Kn0p32/simulation0670_Kn0p32Ma3p9/slurm-28429562.out +204 -0
  33. CylinderKnMa/Kn0p32/simulation0670_Kn0p32Ma3p9/surf/Surf_300000.vtu +38 -0
  34. CylinderKnMa/Kn0p32/simulation0670_Kn0p32Ma3p9/surf/geom.surf +610 -0
  35. CylinderKnMa/Kn0p32/simulation0671_Kn0p32Ma4p0/Grid.pvd +9 -0
  36. CylinderKnMa/Kn0p32/simulation0671_Kn0p32Ma4p0/Lambda.pvd +9 -0
  37. CylinderKnMa/Kn0p32/simulation0671_Kn0p32Ma4p0/Lambda/Lambda_0_300000.vtu +0 -0
  38. CylinderKnMa/Kn0p32/simulation0671_Kn0p32Ma4p0/Lambda/Lambda_1_300000.vtu +0 -0
  39. CylinderKnMa/Kn0p32/simulation0671_Kn0p32Ma4p0/Lambda/Lambda_2_300000.vtu +27 -0
  40. CylinderKnMa/Kn0p32/simulation0671_Kn0p32Ma4p0/Lambda/Lambda_300000.pvtu +21 -0
  41. CylinderKnMa/Kn0p32/simulation0671_Kn0p32Ma4p0/Lambda/Lambda_3_300000.vtu +27 -0
  42. CylinderKnMa/Kn0p32/simulation0671_Kn0p32Ma4p0/Surf.pvd +9 -0
  43. CylinderKnMa/Kn0p32/simulation0671_Kn0p32Ma4p0/config.txt +78 -0
  44. CylinderKnMa/Kn0p32/simulation0671_Kn0p32Ma4p0/cylinder.surf +410 -0
  45. CylinderKnMa/Kn0p32/simulation0671_Kn0p32Ma4p0/gas.species +14 -0
  46. CylinderKnMa/Kn0p32/simulation0671_Kn0p32Ma4p0/gas.vhs +9 -0
  47. CylinderKnMa/Kn0p32/simulation0671_Kn0p32Ma4p0/grid/Grid_0_300000.vtu +0 -0
  48. CylinderKnMa/Kn0p32/simulation0671_Kn0p32Ma4p0/grid/Grid_1_300000.vtu +0 -0
  49. CylinderKnMa/Kn0p32/simulation0671_Kn0p32Ma4p0/grid/Grid_2_300000.vtu +0 -0
  50. CylinderKnMa/Kn0p32/simulation0671_Kn0p32Ma4p0/grid/Grid_300000.pvtu +29 -0
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eJzt2ytMw1AUgGEk63gzPWzR6Ca4YZmeRg8Lunoa7Kanq8GCnp4edmh6zwk7CTkQXsvpkv+aT/yma7O79d62X3XLxeX2eR9/5Olg9LDMzdvOtDe/Mel0Op3ezB71u/GapwPCv/r8lIZ5Up/dqttaSafT6XS/R8/f797fpdHCf/a6yGbjofm4TCfcpNPp9E3t0fPrR+UwiwzXrNy+d8wrGSadTqd/1qPnr+9aH3z9CTBKWa6tTL0s7ZV0Oj2uR88Pv1WW38o2Nsy0GpkPTPn7MDXp9Cb36O/PutT9+x3ccLdkmPo8hEn/ukdfv6ao+5mI6Kn7JbuI6KjrwnuI6KjrbYjoqesv+4joqOsXB4joqOt5iOg5GaYbdUT01PemENHzIj0O0TtEREd9XwkRPV/SY2cLRPSUbfTiCBEdZRtkhIiechsyR0TPMxnHiOhYynthiOiZ7kKyGSJ6vgFolywYAQAAAACAAADwYgAAvycAAA==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AQAAAACAAADwYgAAKSwAAA==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AgAAAACAAADMHAAA4x4AAPEGAAA=eJxV2n+M5Hddx/E9qZL2ZE2lbSYIrUab0uopdmqBcXevKzZXkVTpVrF6hzbVUiN2W9DYWGvFHt2LhaNZ3NShhxZoVgJYPBuweuzSYIWcQHBDSrU2ULH+gLFpKoEIaS7ec173fL/H/vXIO+9vd3fmO6/P+zv3npu77+G5ucsumzv532U3vrs8d7L+0LmXV13f/sS7qgdb//ir/6Tq2PqJhzaqjq0vXfDOqmPrt23cXXVsfet5h6uOrT93811Vx9YXnjxUdWz91ivvrDq2fuxjd1QdW//WRW+pOrb+WxffVnVs/Wvzt1QdW3/T5E1Vx9af/dRvVh1bv+n+G6qOrT/zB9dVHVu/8cDrq46tP/3Ka6qOrb/xnKurjq1P/ufKqmPrv/G5n6o6tv7VD/5k1bH1Xz+0t+rY+n/96qjq2Pobln+s6tj6f7zkZVXH1n/tWxdVHVt/6gvnVx1bv+7B7606tv7ld3xP1bH1a994TtWx9SevOLPq2Povn/+dVcfWv7jr+VXH1g98cVfVsfW/+e1vftw6tv7XP/xM1bH1S3d/teof+c+n/l/P/nf8RPVoembr/n+o60se+VL9fx687/Eyda+lrql7LXV98W2P1rV/dc0/lql7LXVN3Wup6x+99NN17V9+9yfL1L2WuqbutdT1jzzzcF37wKePlal7LXVN3Wup6z3v/2hd+6GDR8vUvZa6pu611PUPXvuhuvYDi39epu611DV1r6WuL3zRe+va93/jSJm611LX1L2Wur7g8/fUtZsfXi9T91rqmrrXUtfnv+3tde39NxwqU/da6pq611LXP3D5HXXt5a/6vTJ1r6WuqXstdf2q526ua5c/8oYyda+lrql7LfU+Bw/UtUsXrJSpey11Tb3Pu5XywpNX1LWj8VKZutdS19S9lrp+xVWX1LWX7r6oTL0/4xeVqXduXDTzeT9v5rN59szn/byZz+bZM5/382Y+42fPfE53z3ym5mY+p7tnPlNzM5/T3TOfzbnyL/7s09te+/Of+Kcyda+lrql7LXV91SWP1LVXbn64TN1rqWvqXktd//Tg3rp23x/dWabutdQ1da+lrtf+97q69vYnRmXqXktdU++5a1S+5eEz69onr9jZ0tS9lrqm3ufXzpZ+3/f9fl17+nUPfkxT91rqmrrXUu97YGOhz53Vxb6XNha8lnrfSxsLfa6tLvaMcbyu3Xre/FLPG8frWuqaes+H80v6kfNeXtd+5sd/pUzda6lr6l5LvWebg3Xt068cl6l7LXVNveeucfnZT/1FXfv1n/tEmbrXUtfUvZa6/ua/faGufe7mSZm611LX1HtOnpRP/rfXa79t3xll6l5LXVP3Wur6tMNn1bXf8ei5ZepeS11T91rq+vkvvnBv34fDMvW+D4dl6n0fDsu7P7BY177g2X1l6l5LXVP3Wur6u15xVV175u37y9S9lrqm7rXU9Qs/eX1de/YLbi5T91rqmrrXUtfnXH1rXfu2z/5hmbrXUtfUvZZ6/41rde3hs94+81qt1bXU+7Vaq2up9+uzXtfe/Uv3zLw+63Ut9X591uta6v1aHalr19/7npnX/EhdS71f8yN1LfV+nTfr2j/+ygdnXufNupZ6v86bdS31fs2P1rUbL/vozHt3tK6l3u/d0bqWer9fx+rae37n4Zn361hdS73fr2N1LXU9uPfv69rx9j+UqXstdU3da6nrF335c3Xtvd/+aJm611LX1L2Wun7xhY/Xte9+zZfK1L2WuqbutdT1uTc9Vdf+2Tu/UqbutdQ1da+lrt/z+NfqWtzn2omq454HTrusZ4DTLrP++dedXnVs/epb56uOrT/6py+sOu7ZY1B1bP2xf39J1bH1Xzj9+6uOrf/zD7206rjnoj1Vx9b/5c0XVx1b33/Py6uOrT/xtwtVx/1Mulx13OfFfQ/fvPjqqfkuSPP9j+Y7H833PJrvdjTf52i+w9F8b6P5rkbz/YzmOxnN9zCa714037dovmPRfK+i+S5F8/2J5jsTzfckmu9GNN+HaL4D0XzvofmuQ/P9huY7Dc33GJrvLjTfV2i+o9B8L6H5LkLz/YPmOwfN9wya7xY03ydovh/QPPtrnt9nfdYD+6bm2VzzbD5bt5+65hncHp7BNXV7qGuete3hWVtTt4e65pnaHp6pNXV7qGuene3h2VlTt4e65hnZHp6RNXV7qGuehe3hWVhTt4e65pnXHp55NXV7qGuebe3h2VZTt4e65hnWHp5hNXV7qPfn+kD18KyqqfdneaXMM6k9PJNq6vZQ1zx72sOzp6ZuD3XNM2bfY2eXqdtDve+33TP3zNzM/bZ75h6bK/PMaA/PjJq6PdQ1z4b28GyoqdtDXfMMaA/PgJq6PdQ1z3r28KynqXfejso809nDM52m3vmws6V5drOHZzdN3R7q/dpuLNjDM1q/FxsLnSGri52Hx6uHZzFNvTN/fknzzGUPz1yauj3UO2MPVg/PVpp65/a4zDOUPTxDaer2UNc8K9nDs5Km3ufUpHzyv7328EykqdtDXfPsYw/PPpq6PdQ1zzj9fg3L1Pv9GpZ5lrGHZxlN3R7qmmcWe3hm0dTtoa55NrGHZxNN3R7qmmcQe3gG0dTtod6/21r18KzRf8ta9VDv33+9enim6N9/vXqo999ypHp4dui//Uj1UO+/d7N6eEbov3ezeqj33360engW6NfqaPVQ79fnWPUw8/frc6x6qGtme3uY7TV1e6hrZnh7mOE1dXuoa+ZzzYytmas7Q06UmZ81M7NmTtbMxp2lgzIzsGbu1cy6nc97ysy0mjlWM7v2nLNcZl69cP/PTM28qplXNfOqZl7VzKuaeVUzr2rmVc28qplXNfOqZl7VzKuaeVUzr2rmVc28qplXNfOqZl7VzKuaeVUzr2rmVc28qplXNfOqZl7VzKuaeVUzr2rmVc28qplXNfOqZl7VzKuaeVUzr2rmVc2Mqpk/NbPlrD/7mddMzTypmSdn6/ZT18yT9jBPaur2UNfMk/YwT2rq9lDXzJP2ME9q6vZQ18yT9jBPaur2UNfMk/YwT2rq9lDXzJP2ME9q6vZQ18yT9jBPaur2UO/P44HqYZ7U1PszuFJmnrSHeVJTt4e6Zp60h3lSU7eHumaetId5UlO3h7pmnux7Zq5M3R7qmnnSHuZJTd0e6pp50h7mSU3dHuqaedIe5klN3R7qmnnSHuZJTb1zclRmnrSHeVJT78/1zpZmnrSHeVJTt4d6v7YbC/YwT/Z7sbHQn/3Vxc6x49XDPKmpd1bPL2nmSXuYJzV1e6h3Nh6sHuZJTb3zdlxmnrSHeVJTt4e6Zp60h3lSU+/zZVI++d9ee5gnNXV7qGvmSXuYJzV1e6hr5sl+v4Zl6v1+DcvMk/YwT2rq9lDXzJP2ME9q6vZQ18yT9jBPaur2UNfMk/YwT2rq9lDv322tepgn+29Zqx7q/fuvVw/zZP/+69VDvf+WI9XDPNl/+5Hqod5/72b1ME/237tZPdT7bz9aPcyT/VodrR7q/focqx7myX59jlUPdc08aQ/zpKZuD3XNDKmZITUzpGaG7Hw4UWaG1MyQmhlSM0N2Tg7KzJCaGVIzQ3b27ikzQ2pmSM0M2bPHcpkZ8l9/9+qpmSE1M6RmhtTMkJoZUjNDamZIzQypmSE1M6RmhtTMkJoZUjNDamZIzQypmSE1M6RmhtTMkJoZUjNDamZIzQypmSE1M6RmhtTMkJoZUjNDamZIzQypmSE1M6RmhtTMkJoZUjNDamZIzQypmSE1M6RmbtTMhJp5b9Zvnbx2amY8zYw3W7efumbGs4cZT1O3h7pmxrOHGU9Tt4e6ZsazhxlPU7eHumbGs4cZT1O3h7pmxrOHGU9Tt4d6f44OVA8znqben52VMjOePcx4mro91DUznj3MeJq6PdQ1M549zHiauj3UNTOePcx4mro91DUznj3MeJq6PdQ1M549zHiauj3UNTOePcx4mro91DUznj3MeJp659uozIxnDzOept6fx50tzYxnDzOepm4P9X5tNxbsYcbr92JjoT+zq4udP8erhxlPU++MnV/SzHj2MONp6vZQ70w7WD3MeJp65+S4zIxnDzOepm4Pdc2MZw8znqbe58KkfPK/vfYw42nq9lDXzHj2MONp6vZQ18x4/X4Ny9T7/RqWmfHsYcbT1O2hrpnx7GHG09Ttoa6Z8exhxtPU7aGumfHsYcbT1O2h3r/bWvUw4/XfslY91Pv3X68eZrz+/derh3r/LUeqhxmv//Yj1UO9/97N6mHG6793s3qoa+Y6zcymmcc085hmHtPMY5p5rD+zJ8rMY5p5TDOPaeaxzq5BmXlMM49p5rHOwz1l5jHNPKaZx/ocXy4zj71rfM3UzGOaeUwzj2nmMc08ppnHNPOYZh7TzGOaeUwzj2nmMc08ppnHNPOYZh7TzGOaeUwzj2nmMc08ppnHNPOYZh7TzGOaeUwzj2nmMc08ppnHNPOYZh7TzGOaeUwzj2nmMc08ppnHNPOYZh7TzGOaeUwzj2nmMc0MppmvNLOTZi6a9eIZr5uaWUgzC83W7aeumYXsYRbS1O2hrpmF7GEW0tTtod739oHqYRbS1Pt+XikzC9nDLKSp20NdMwvZwyykqdtDXTML2cMspKnbQ10zC9nDLKSp20NdMwvZwyykqdtDXTML2cMspKnbQ10zC9nDLKSp20NdMwvZwyykqXfmjMrMQvYwC2nq/RnZ2dLMQvYwC2nq9lDv13ZjwR5moX4vNhb6c7S62JlwvHqYhTT1zr35Jc0sZA+zkKZuD/XOmYPVwyykqXd2jcvMQvYwC2nq9lDXzEL2MAtp6p3Vk/LJ//bawyykqdtDXTML2cMspKnbQ10zC/X7NSxT7/drWGYWsodZSFO3h7pmFrKHWUhTt4e6Zhayh1lIU7eHumYWsodZSFO3h3r/bmvVwyzUf8ta9VDv33+9epiF+vdfrx7qmvlHM9toZhvNbKOZbTSzjWa20cw2mtmmP2snysw2mtlGM9toZpvOnEGZ2UYz22hmm86xPWVmG81so5lt+kxcLjPbXPXQ66dmttHMNprZRjPbaGYbzWyjmW00s41mttHMNprZRjPbaGYbzWyjmW00s41mttHMNprZRjPbaGYbzWyjmW00s41mttHMNprZRjPbaGYbzWyjmW00s41mttHMNprZRjPbaGYbzWyjmW00s41mttHMNprZRjPbaGYbzWyjmW0084xmVtHMIZoZY9bfeOn+qZkrNHPFbL3vsZUyc4U9zBWauj3UNXOFPcwVmro91DVzhT3MFZq6PdQ1c4U9zBWauj3UNXOFPcwVmro91DVzhT3MFZq6PdQ1c4U9zBWauj3UNXOFPcwVmnrnwKjMXGEPc4Wm3vftzpZmrrCHuUJTt4d6v7YbC/YwV/R7sbHQ9/bqYn9Oj1cPc4Wm3lk0v6SZK+xhrtDU7aHen/2D1cNcoal3nozLzBX2MFdo6vZQ18wV9jBXaOqdn5Pyyf/22sNcoanbQ10zV9jDXKGp20NdM1f0+zUsU+/3a1hmrrCHuUJTt4e6Zq6wh7lCU7eHumaW0MwJmhlAc75rznfN+a453zXnu+Z815zvmvNdc75rzve+t0+UOd8157vmfNec7/0ZH5Q53zXnu+Z879zYU+Z815zvmvO9z4XlMuf7GY9dNzXnu+Z815zvmvNdc75rznfN+a453zXnu+Z815zvmvNdc75rznfN+a453zXnu+Z815zvmvNdc75rznfN+a453zXnu+Z815zvmvNdc75rznfN+a453zXnu+Z815zvmvNdc75rznfN+a453zXnu+Z815zvmvNdc75rznfN+a453zXnu+Z815zpfc+slDmLNees5gzVnI+as2/WD+y7dmrOO815N1u3n7rmvLOH805Tt4e65ryzh/NOU+/Py6jMeWcP552m3u/vzpbmvLOH805Tt4d6vz4bC/Zw3mnqfQ+sLvb9fLx6OO809f7Mzi9pzjt7OO80dXuo92fkYPVw3mnq/bkblznv7OG809Ttod4ZMilzfmnOpn59hmXOFM15oTkvNOeF5rzQnBea80JzXmjOC815oTkvNOeF5rzQnBea86LvgRNlzgvNeaE5LzTnRX8WBmXOC815oTkvNOeF5rzQnBea86JzZrnMefF3X79has4LzXmhOS8054XmvNCcF5rzQnNeaM4LzXmhOS8054XmvNCcF5rzQnNeaM4LzXmhOS8054XmvNCcF5rzQnNeaM4LzXmhOS8054XmvNCcF5rzQnNeaM4LzXmhOS8054XmvNCcF5rzQnNeaM4LzXmhOS8054XmvNCcF5rzQnNeaM4LzXmhOS/6nlkpc15ozgvNeaE5LzRnhCb/Ndne9+1ou1/DnS1N3vbrs7rY9+r8kiYD+z4Zl8muvp8nZbJLk139s4ZlskuTXZrs0mSXJrs02aXJLk12abJLk12a7NJklya7NNmlyS5NdmmyS5NdmuzSZFe/R4My2aXJLk12abJLk12a7NJkV9/zy2Wy69azbpya7NJklya7NNmlyS5NdmmyS5NdmuzSZJcmuzTZpckuTXZpskuTXZrs0mSXJrs02aXJLk12abJLk12a7NJklya7NNmlyS5NdmmyS5NdmuzSZJcmuzTZpckuTXZpskuTXZrs0mSXJrs02aXJLk12abJLk12a7NJklya7+p5ZKZNdmuzSZJcmuzTZpckuTXb1fTva7tdwZ0uTXf36rC72vTq/pMmuvk/GZbKr7+dJmezSZFf/rGGZ7NJklya7NNmlyS5NdmmyS5NdmuzSZJcmuzTZpckuTXZpskuTXZrs0mSXJrs02dXv0aBMdmmyS5NdmuzSZJcmuzTZ1ff8cpnsGg7fPDXZpckuTXZpskuTXZrs0mSXJrs02aXJLk12abJLk12a7NJklya7NNmlyS5NdmmyS5NdmuzSZJcmuzTZpckuTXZpskuTXZrs0mSXJrs02aXJLk12abJLk12a7NJklya7NNmlyS5NdmmyS5NdmuzSZJcmuzTZpckuTXb1PbNSJrs02aXJLk12abJLk12a7Or7drTdr+HOlia7+vVZXex7dX5Jk119n4zLZFffz5My2aXJrv5ZwzLZpckuTXZpskuTXZrs0mSXJrs02aXJLk12abJLk12a7NJklya7NNmlyS5Ndmmyq9+jQZns0mSXJrs02aXJLk12abKr7/nlMtn136+9ZWqyS5NdmuzSZJcmuzTZpckuTXZpskuTXZrs0mSXJrs02aXJLk12abJLk12a7NJklya7NNmlyS5NdmmyS5NdmuzSZJcmuzTZpckuTXZpskuTXZrs0mSXJrs02aXJLk12abJLk12a7NJklya7NNmlyS5NdmmyS5Ndmuzqe2alTHZpskuTXZrs0mSXJrs02dX37Wi7X8OdLU129euzutj36vySJrv6PhmXya6+nydlskuTXf2zhmWyS5NdmuzSZJcmuzTZpckuTXZpskuTXZrs0mSXJrs02aXJLk12abJLk12a7NJkV79HgzLZpckuTXZpskuTXZrs0mRX3/PLZbLr/ptum5rs0mSXJrs02aXJLk12abJLk12a7NJklya7NNmlyS5NdmmyS5NdmuzSZJcmuzTZpckuTXZpskuTXZrs0mSXJrs02aXJLk12abJLk12a7NJklya7NNmlyS5NdmmyS5NdmuzSZJcmuzTZpckuTXZpskuTXZrs0mSXJrv6nlkpk12a7NJklya7NNmlyS5NdvV9O9ru13BnS5Nd/fqsLva9Or+kya6+T8Zlsqvv50mZ7NJkV/+sYZns0mSXJrs02aXJLk12abJLk12a7NJklya7NNmlyS5NdmmyS5NdmuzSZJcmuzTZ1e/RoEx2abJLk12a7NJklya7NNnV9/xymex6YN9bpia7NNmlyS5NdmmyS5NdmuzSZJcmuzTZpckuTXZpskuTXZrs0mSXJrs02aXJLk12abJLk12a7NJklya7NNmlyS5NdmmyS5NdmuzSZJcmuzTZpckuTXZpskuTXZrs0mSXJrs02aXJLk12abJLk12a7NJklya7NNmlya6+Z1bKZJcmuzTZpckunX/PjfNvuHH+fdb7drTdryH/rhrn30x9ffj3UO9V/q0zzr9jep+My/n3R+/nSZns0mRX/6xhmezSZJcmuzTZpckuTXZpskuTXZrs0mSXJrs02aXJLk12abJLk12a7NJklya7NNnV79GgTHZpskuTXZrs0mSXJrs02dX3/HI5eyl3TJ29lDh7KXH2UuLspcTZS4mzlxJnL+WOU+/1XeXspcTZS4mzlxJnLyXOXkqcvZQ4eylx9lLi7KXE2UuJs5cSZy8lzl5KnL2UOHspcfZS4uylxNlLibOXEmcvJc5eSpy9lDh7KXH2UuLspcTZS4mzlxJnL+WOU+/jrnL2UuLspcTZS4mzlxJnLyXOXkqcvZQ4eylx9lLi7KXE2UuJs5cSZy8lzl6K98xKOXspcfZS4uylxNlLibOXEmfPJM4OifftaLtfQ3Y/4ux1+Pqws+G9yj5GnF0L75NxOTsS3s+TcnYk4uxI+LOG5exIxNmRiLMjEWdHIs6ORJwdiTg7EnF2JOLsSMTZkYizIxFnRyLOjkScHYk4OxJxdiTi7EjE2ZGIsyMRZ0fC92hQzo5EnB2JODsScXYk4uxIxNmRiLMj4T2/XCa7rr/+zqnJLk12abJLk12a7NJklya7NNmlyS5NdmmyS5NdmuzSZJcmuzTZpckuTXZpskuTXZrs0mSXJrs02aXJLk12abJLk12a7NJklya7NNmlyS5NdmmyS5NdmuzSZJcmuzTZpckuTXZpskuTXZrs0mSXJrs02aXJLk12abKr75mVMtmlyS5NdmmyS5NdmuzSZFfft6Ptfg13tjTZ1a/P6mLfq/NLmuzq+2RcJrv6fp6UyS5NdvXPGpbJLk12abJLk12a7NJklya7NNmlyS5NdmmyS5NdmuzSZJcmuzTZpckuTXZpskuTXf0eDcpklya7NNmlyS5NdmmyS5Ndfc8vl7PfdWjq7HfF2e+Ks98VZ78rzn5XnP2uOPtdh06913eVs98VZ78rzn5XnP2uOPtdcfa74ux3xdnvirPfFWe/K85+V5z9rjj7XXH2u+Lsd8XZ74qz3xVnvyvOflec/a44+11x9rvi7HfF2e+Ks98VZ78rzn5XnP2uQ6fex13l7HfF2e+Ks98VZ78rzn5XnP2uOPtdcfa74ux3xdnvirPfFWe/K85+V5z9Lu+ZlXL2u+Lsd8XZ74qz3xVnvyvOflec/S7v29F2v4bsd8XZ7/L1Yb/Le5X9rjj7Xd4n43L2u7yfJ+Xsd8XZ7/JnDcvZ74qz3xVnvyvOflec/a44+11x9rvi7HfF2e+Ks98VZ78rzn5XnP2uOPtdcfa74ux3xdnvirPfFWe/K85+l+/RoJz9rjj7XXH2u+Lsd8XZ74qz3xVnv8t7frlMdp331rumJrs02aXJLk12abJLk12a7NJklya7NNmlyS5NdmmyS5NdmuzSZJcmuzTZpckuTXZpskuTXZrs0mSXJrs02aXJLk12abJLk12a7NJklya7NNmlyS5NdmmyS5NdmuzSZJcmuzTZpckuTXZpskuTXZrs0mSXJrs02aXJrr5nVspklya7NNmlyS5NdmmyS5Ndfd+Otvs13NnSZFe/PquLfa/OL2myq++TcZns6vt5Uia7NNnVP2tYJrs02aXJLk12abJLk12a7NJklya7NNmlyS5NdmmyS5NdmuzSZJcmuzTZpckuTXb1ezQok12a7NJklya7NNmlyS5NdvU9v1zOburhqbObGmc3Nc5uapzd1Di7qXF2U+Psph4+9V7fVc5uapzd1Di7qXF2U+PspsbZTY2zmxpnNzXObmqc3dQ4u6lxdlPj7KbG2U2Ns5saZzc1zm5qnN3UOLupcXZT4+ymxtlNjbObGmc3Nc5uapzd1Di7qXF2Uw+feh93lbObGmc3Nc5uapzd1Di7qXF2U+PspsbZTY2zmxpnNzXObmqc3dQ4u6lxdlO9Z1bK2U2Ns5saZzc1zm5qnN3UOLupcXZTvW9H2/0aspsaZzfV14fdVO9VdlPj7KZ6n4zL2U31fp6Us5saZzfVnzUsZzc1zm5qnN3UOLupcXZT4+ymxtlNjbObGmc3Nc5uapzd1Di7qXF2U+PspsbZTY2zmxpnNzXObmqc3dQ4u6m+R4NydlPj7KbG2U2Ns5saZzc1zm5qnN1U7/nlMtn12Pvunprs0mSXJrs02aXJLk12abJLk12a7NJklya7NNmlyS5NdmmyS5NdmuzSZJcmuzTZpckuTXZpskuTXZrs0mSXJrs02aXJLk12abJLk12a7NJklya7NNmlyS5NdmmyS5NdmuzSZJcmuzTZpckuTXZpskuTXZrs0mSXJrv6nlkpk12a7NJklya7NNmlyS5NdvV9O9ru13BnS5Nd/fqsLva9Or+kya6+T8Zlsqvv50mZ7NJkV/+sYZns0mSXJrs02aXJLk12abJLk12a7NJklya7NNmlyS5NdmmyS5NdmuzSZJcmuzTZ1e/RYOr/A8T6s/N4nEXUaYiVZRyG8bEVKw+0KANhFCGGtIjTgpNz9FChRUg1ZlnagoVG5qgVBSa2IdKiog16LEtTLDKyEtt0jjIfClqoIcwyMQtbbBIxKUhE8hq47ufDC79vD/zfm6upqalp56+Dx+xcu2TMcTbd3v/C+IeLL4rvuOmS+MeHR8STl18V7/5kVDxlTy1ualq9vaVlWZ/HzFwVz9+9Mt52w4r42EedcXXosnhe55K468RF8dHZz8ej9i6M545fEG/Z+kx8ZNhT8SMj5sWHK4/Hc3rnxIc+eyietW56fPDJqfHMKXfFB0ZOimcMmhD3/j0+fvDr6+M/N1wbP7BwdPzHfa3xtNoV8W+Dh8f3HxkW7/tuSDx10/nxL4vPje+dMSjeO+7M+O4hZ8R7+p0aT9nTL/740f+26Q8vPRhv/n1fvGn1rvj9Sd/E7571afzOF1vit599L36r7Y34zX9fiddvXBqvm74wvu6aJ+La5mlxdWh73FqvxleePiweMW9gfNnBpnhi9/cNPX79xnjscwvi+btbG+WGPV26/9RNW8t9OtrKVitV/eXV98QHRtbjf27tjo/O7o1PGHvaaH3KjvNGl7da4gGHxsZnzp8cDxwwO37hq6fjRee8GC+5c3m89PU18Uv7N8Sdwz+Ilz+2Pa43Po9fPnlHvOrGn+LXlu2P1+w6HK+94Fh8y+UnjdHf3tY/njC3Eu949ex4YndzTLs07dK0S9MuTbs07dK0q2y+FtOuxd2dfaZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2lU20x7TLk27NO3StEvTLk27NO0qu21tlBv2dGnaVe7T0Va2Wqlq2lV2Uo9pV9lzb0y7NO0qb7XEtEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO0q/6g5pl2admnapWmXpl2admnaVTZfi2nXXzev6DPt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL066ymfaYdmnapWmXpl2admnapWlX2W1ro9ywp0vTrnKfjray1UpV066yk3pMu8qee2PapWlXeaslpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWlX+UfNMe3StEvTLk27NO3StEvTrrL5Wky7xv28ss+0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbvKZtpj2qVpl6ZdmnZp2qVpl6ZdZbetjXLDni5Nu8p9OtrKVitVTbvKTuox7Sp77o1pl6Zd5a2WmHZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6Zd5R81x7RL0y5NuzTt0rRL0y5Nu8rmazHtWjdrVZ9pl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnaVzbTHtEvTLk27NO3StEvTLk27ym5bG+WGPV2adpX7dLSVrVaqmnaVndRj2lX23BvTLk27ylstMe3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27yj9qjmmXpl2admnapWmXpl2adpXN12LadfzrM+3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTrrKZ9ph2adqlaZemXZp2adqlaVfZbWuj3LCnS9Oucp+OtrLVSlXTrrKTeky7yp57Y9qlaVd5qyWmXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaVf5R80x7dK0S9MuTbs07dK0S9Ousvla/D/UCPdYBAAAAACAAADACwAA9xUAAEcWAACdFQAAJQIAAA==eJx13VWQRlexhmG2xN3d3d3d3d3d3d3d3T1IHBLcSYIThbg7JJBAAjEgIefirCdV66v9z01Xv/V299U/U7O+qZqvfOX/v5pSu1Lb4H2pY4SHj1nqWOHhY5c6Tnj4uKWOFx4+fqkThIdPWOpE4eETlzpJePikpU4WHj55qVOEh09Z6lTh4VOXOk14+LSlThcePn2pM4SHz1jqTOHhM5c6S3j4rKXOFh4+e6lzhIfPWepc4eFzlzpPePi8pc4XHj5/qQuEhy9Y6kLh4QuXukh4+KKlLhYevnipS4SHL1nqUuHhS5e6THj4sqUuFx6+fKkrhIevWOpK4eErl7pKePiqpa4WHr56qWuEh69Z6lrh4WuXuk54+Lqlrhcevn6pG4SHb1jqRuHhG5e6WambBt+k1M1HePot4g5ubsvw7N2q1G3Cx7cuddsRnn67uIOb2z48e3codafw8R1L3XmEp98l7uDmdg3P3t1K3SN8fPdS9xzh6feKO7i5vcOzd59S9wsf37fU/Ud4+gPiDm7uwPDsPajUQ8LHDy710BGe/rC4g5s7PDx7jyj1qPDxI0s9eoSnPybu4OaODc/e40o9IXz8+FJPHOHpT4o7uLmTw7P3lFJPCx8/tdTTR3j6M+IObu7M8Ow9q9RzwsfPLvXcEZ7+vLiDmzs/PHsvKPWi8PELS714hKe/JO7g5i4Nz97LSr0ifPzyUq8c4emviju4uavDs/eaUq8LH7+21OtHePob4g5u7sbw7L2p1FvCx28u9dYRnv6rcQc397Xw7P16qbeFj3+j1NtHePo74g5u7s7w7L2r1HvCx+8u9ZsjPP234g5u7t7w7L2v1O+Ej3+71O+O8PTfizu4ue+HZ+8PSv1R+PgPS/3xCE//k7iDm/tpePb+rNRfhI//vNT7R3j6B+IObu7B8Oz9Zam/Dh//Vam/GeHpfxt3cHO/C8/e35f6UPj4H0p9eISnfyTu4OYeDc/ex0r9Y/j446X+aYSnfyLu4OaeDM/ep0p9Jnz86VKfHeHpn4s7uLnnw7P3hVJfCh9/sdSXR3j6V+IObu7V8Ox9rdQ3wsdfL/XNEZ7+rbiDm/tzePb+pdR3wsffLvWvIzz93+IObu7d8Ox9r9R/hI//vdT3R3j6D+IObu6f4dn7r1I/Ch//sNSPR3j6T+IObu7T8Oz9d6n/DR//T6mfjfD0n8cd3Nz/wrP3i1KbpvZxD21tM+zpu6a+08RcH569Y5Q6Vvj4mKWOPcLTjxN3xoq5ccOzd7xSJwgfH7/UCUd4+onizgQxN3F49k5S6mTh45OWOvkITz9F3Jks5qYMz96pSp0mfHzqUqcd4emnizvTxNz04dk7Q6kzhY/PWOrMIzz9LHFnppibNTx7Zyt1jvDx2Uudc4SnnyvuzBFzc4dn7zylzhc+Pm+p84/w9AvEnflibsHw7F2o1EXCxxcuddERnn6xuLNIzC0enr1LlLpU+PiSpS49wtMvE3eWirllw7N3uVJXCB9fvtQVR3j6leLOCjG3cnj2rlLqauHjq5a6+ghPv0bcWS3m1gzP3rVKXSd8fO1S1x3h6deLO+vE3Prh2btBqRuFj29Y6sYjPP0mcWejmNs0PHs3K3WL8PHNS91yhKffKu5sEXNbh2fvNqVuFz6+banbj/D0O8Sd7WJux/Ds3anUXcLHdy511xGefre4s0vM7R6evXuUumd4+F6l7h0evk+p+4aH71fq/uHhB5R6YHj4QaUeHB5+SKmHhocfVurh4eFHlHpkePhRpR4dHn5MqceGhx9X6vHh4SeUemJ4+Emlnhwefkqpp4Ynp5XHnl74aU3N5bFnNLWHy2PPbGoPl8ee1dQeLo89u6k9XB57TlN7uDz23Kb2cHnseU3t4fLY85vaw+WxFzS1h8tjL2xqD5fHXtTUHi6PvbipPVwee0lTe7g89tKm9vBZSr2sqT1cHnt5U3u4PPaKpvZweeyVTe3h8tirmtrD5bFXN7WHy2OvaWoPl8de29QeLo+9rqk9XB57fVN7uDz2hqb2cHnsjU3t4fLYm5raw+WxNze1h8tjb2lqD5fH3trUHr5KqV9tag+Xx36tqT1cHvv1pvZweew3mtrD5bG3NbWHy2Nvb2oPl8fe0dQeLk+9s6k9XN55V1N7uDzy7qb28F1K/Wbh9zQ1lyd+qxn29Pc29R3c3H3h2SuP/Hb4uDzxO82wp/9u3MHNfS88e+WR3w8flyf+oBn29D+MO7i5H4Vnrzzyx+Hj8sSfNMOe/qdxBzf3s/DslUf+PHxcnviLZtjT3x93cHMPhGevPPLB8PGTS/1lM+zpfxV3cHO/Ds9eeeRvwsflib9thj397+IObu734dkrj/xD+Lg88aFm2NM/HHdwc4+EZ6888tHwcXniY82wp3887uDm/hievfLIP4WPyxOfaIY9/ZNxBzf3VHj2yiOfDh+XJz7TDHv6Z+MObu658OyVRz4fPi5PfKEZ9vQvxh3c3Evh2SuPfDl8XJ74SjPs6V+NO7i518KzVx75evi4PPGNZtjTvxl3cHNvhWevPPLP4ePyxL80w57+7biDm3snPHvlkX8NH5cn/q0Z9vTvxh3c3Hvh2ftAqX8PH5cn/qMZ9vTvxx3c3Afh2SuP/Gf4uDzxX82wp/8w7uDmPgrPXnnkx+Hj8sRPmmFP/2ncwc39Ozx75ZH/CR+XJ/63Gfb0n8Ud3Nzn4dkrj/xf+Lg88Ytm2NP7hfvz4OaatvbslUe2be3jr5batcOevm/rO7i5McKzVx45Zvi4PHGsdtjTjx13cHPjhGevPHLc8HF54njtsKcfP+7g5iYIz1555ITh4/LEidphTz9x3MHNTRKevfLIScPH5YmTtcOefvK4g5ubIjx75ZFTho/LE6dqhz391HEHNzdNePbKI6cNH5cnTtcOe/rp4w5ubobw7JVHzhg+Lk+cqR329DPHHdzcLOHZK4+cNXxcnjhbO+zpZ487uLk5wrNXHjln+Lg8ca522NPPHXdwc/OEZ688ct7wcXnifO2wp58/7uDmFgjPXnnkguHj8sSF2mFPv3Dcwc0tEp698shFw8fliYu1w55+8biDm1siPHvlkUuGj8sTl2qHPf3ScQc3t0x49sojlw0flycu1w57+uXjDm5uhfDslUeuGD4uT1ypHfb0K8cd3Nwq4X25t9RVw8e/zBPbYU+/etzBza0Rnr3yyDXTx0tdqx329GvHHdzcOuHZK49cN3z8y9yyHfb068cd3NwG4dn7ZR4ZPi5P3Kgd9vQbxx3c3Cbh2ftlbhk+Lk/crB329JvHHdzcFuHZKy/cMjxcHrhVW3u4PHDrtvZweeA2be3h8sBt29rD5YHbtbWHywO3b2sPlwfu0NYeLg/csa09XB64U1t7uDxw57b2cHngLm3t4fLAXdvaw+WBu7W1h8sDd29rD5cH7tHWHi433LOtPTmhPHDvwvdqay4P3KetPVweuG9be7g8cL+29nB54P5t7eHywAPa2sPlgQe2tYfLAw9qaw+XBx7c1h4uDzykrT1cHnhoW3u4PPCwtvZweeDhbe3h8sAj2trD5YFHtrWHywOPamsPlwce3dYeLg88pq09XB54bFt7uDzwuLb2cHng8W3t4fLAE9raw+WBJ7a1h8sDT2prD5cHntzWHi4PPKWtPVweeGpbe7g88LS29nB54Olt7eHywDPa2sPlgWe2tYfLA89qaw+XB57d1h4uDzynrT1cHnhuW3u4PPC8tvZweeD5be3h8sAL2trD5YEXtrWHywMvamsPl+dd3NYeLm+7pK09XB52aVt7uDzscp+7tubyrCvaYU9/pc91cHNXhWevPOzq8HF51jXtsKe/Nu7g5q4Lz1552PXh4/KsG9phT39j3MHN3RSevfKwm8PH5Vm3tMOe/ta4g5v7anj2ysO+Fj4uz/p6O+zpvxF3cHO3hWevPOz28HF51h3tsKe/M+7g5u4Kz1552N3h4/Kse9phT//NuIOb+1Z49srD7g0fl2fd1w57+m/HHdzcd8KzVx723fBxedb32mFP//24g5v7QXj2ysN+GD4uz/pRO+zpfxx3cHM/Cc9eedhPw8flWT9rhz39z+MObu4X4dkrD7s/fFye9UA77OkfjDu4uV+GZ6887Ffh4/KsX7fDnv43cQc399vw7JWH/S58XJ71+3bY0/8h7uDmHgrPXnnYw+Hj8qxH2mFP/2jcwc09Fp698rDHw8flWX9shz39n+IObu6J8OyVhz0ZPi7Peqod9vRPxx3c3DPh2SsPezZ8XJ71XDvs6Z+PO7i5F8KzVx72Yvi4POulEZ7+5bjzYsy9Ep69X+Zh4ePyrNdGePrX486rMfdGePbKw94MH5dnvTXC0/857rwZc38Jz1552Nvh4/Ksd0Z4+r/Gnbdj7m/h2SsPezd8XJ713ghP//e4827M/SM8e+Vh74ePy7M+GOHp/xl33o+5f4Vnrzzsw/BxedZHIzz9x3Hnw5j7JDx75WGfho/Ls/49wtP/J+58GnP/Dc9eedhn4ePyrM9HePr/xZ3PYu6L8OyVh/mD+M+Dy7OabtjTt119BzfXhWevPKwPH5dnjdENe/ox4w5ubqzw7JWHjR0+Ls8apxv29OPGHdzceOHZKw8bP3xcnjVBN+zpJ4w7uLmJwrNXHjZx+Lg8a5Ju2NNPGndwc5OFZ688bPLwcXnWFN2wp58y7uDmpgrPXnnY1OHj8qxpumFPP23cwc1NF5698rDpw8flWTN0w55+xriDm5spPHvlYTOHj8uzZumGPf2scQc3N1t49srDZg8fl2fN0Q17+jnjDm5urvDslYfNHT4uz5qnG/b088Yd3Nx84dkrD5s/fFyetUA37OkXjDu4uYXCs1fetXB4uLxrka72cHnXol3t4fKuxbraw+Vdi3e1h8u7luhqD5d3LdnVHi7vWqqrPVzetXRXe7i8a5mu9nB517Jd7eHyruW62sPlXct3tYfLu1boag+Xd63Y1R4u71qpqz1c3rVyV3u4XGyVrvbkYPKu1Qpftau5vGv1rvZwedcaXe3h8q41u9rD5V1rdbWHy7vW7moPl3et09UeLu9at6s9XN61Xld7uLxr/a72cHnXBl3t4fKuDbvaw+VdG3W1h8u7Nu5qD5d3bdLVHi7v2rSrPVzetVlXe7i8a/Ou9nB51xZd7eHyri272sPlXVt1tYfLu7buag+Xd23T1R4u79q2qz1c3rVdV3u4vGv7rvZwedcOXe3h8q4du9rD5V07dbWHy7t27moPl3ft0tUeLu/atas9XN61W1d7uLxr9672cHnXHl3t4fKuPbvaw+Vde3W1h8u79u5qD5d37dPVHi7v2rerPVzetV9Xe7i8a/+u9nB51QFd7eHypAO72sPlPQd1tYfLew7xfamrubzm0G7Y0x/m+15wc4eHZ6+854jwcXnNkd2wpz8q7uDmjg7PXnnPMeHj8ppju2FPf1zcwc0dH5698p4TwsflNSd2w57+pLiDmzs5PHvlPaeEj8trTu2GPf1pcQc3d3p49sp7zggfl9ec2Q17+rPiDm7u7PDslfecEz4urzm3G/b058Ud3Nz54dkr77kgfFxec2E37Okviju4uYvDs1fec0n4uLzm0m7Y018Wd3Bzl4dnr7znivBxec2V3bCnvyru4OauDs9eec814ePymmu7YU9/XdzBzV0fnr3ynhvCx+U1N3bDnv6muIObuzk8e+U9t4SPy2tu7YY9/VfjDm7ua+HZK+/5evi4vOYb3bCnvy3u4OZuD89eec8d4ePymju7YU9/V9zBzd0dnr3ynnvCx+U13+yGPf234g5u7t7w7JX33Bc+Lq/5djfs6b8Td3Bz3w3PXnnP98LH5TXf74Y9/Q/iDm7uh+HZK+/5Ufi4vObH3bCn/0ncwc39NDx75T0/Cx+X1/y8G/b0v4g7uLn7w7NX3vNA+Li85sFu2NP/Mu7g5n4Vnr3ynl+Hj8trftMNe/rfxh3c3O/Cs1fe8/vwcXnNH7phT/9Q3MHNPRyevfKeR8LH5TWPdsOe/rG4g5t7PDx75T1/DB+X1/ypG/b0T8Qd3NyT4dkr73kqfFxe8/QIT/9M3Hkq5p4Nz155z3Ph4/Ka50d4+hfiznMx92J49sp7Xgofl9e8PMLTvxJ3Xoq5V8OzV97zWvi4vOb1EZ7+jbjzWsy9GZ698p63wsflNX8e4en/Enfeirm3w7NX3vNO+Li85q8jPP3f4s47MfduePbKe94LH5fX/H2Ep/9H3Hkv5t4Pz155zwfh4/Kaf47w9P+KOx/E3Ifh2Svv+Sh8XF7z8QhP/0nc+SjmPg3PXnnMv8PD5SX/CQ+Xh/w3PFwe8ll4uDzk8/Bwecj/wsPlIV+Eh8tD/MOxL4LLQ5q+9nB5SNvXHi4P6fraw+UhfV97uDxkjL72cHnImH3t4fKQsfraw+UhY/e1h8tDxulrD5eHjNvXHi4PGa+vPVweMn5fe7jcZIK+9uQk8pCJCp+wr7k8ZOK+9nB5yCR97eHykEn72sPlIZP1tYfLQybvaw+Xh0zR1x4uD5myrz1cHjJVX3u4PGTqvvZwecg0fe3h8pBp+9rD5SHT9bWHy0Om72sPl4fM0NceLg+Zsa89XB4yU197uDxk5r72cHnILH3t4fKQWfvaw+Uhs/W1h8tDZu9rD5eHzNHXHi4PmbOvPVweMldfe7g8ZO6+9nB5yDx97eHykHn72sPlIfP1tYfLQ+bvaw+XhyzQ1x4uD1mwrz1cHrJQX3u4PGThvvZwecgife3h8pBF+9rD5SGL9bWHy0MW72sPl4cs0dceLg9Zsq89XB6yVF97uDxk6b72cHnIMn3t4fKQZfvaw+UZy/W1h8sblu9rD5cHrNDXHu69fsW+9nDv9Sv7udLX3Hv7Kv2wp1/Vz63g5lYLz17v9auHj3tvX6Mf9vRrxh3c3Frh2eu9fu3wce/t6/TDnn7duIObWy88e73Xrx8+7r19g37Y028Yd3BzG4Vnr/f6jcPHvbdv0g97+k3jDm5us/Ds9V6/efi49/Yt+mFPv2Xcwc1tFZ693uu3Dh/33r5NP+zpt407uLntwrPXe/324ePe23fohz39jnEHN7dTePZ6r985fNx7+y79sKffNe7g5nYLz17v9buHj3tv36Mf9vR7xh3c3F7h2eu9fu/wce/t+/TDnn7fuIOb2y88e73X7x8+7r39gH7Y0x8Yd3BzB4Vnr/f6g8PHvbcf0g97+kPjDm7usPDs9V5/ePi49/Yj+mFPf2Tcwc0dFZ693uuPDh/33n5MP+zpj407uLnjwrPXe/3x4ePe20/ohz39iXEHN3dSePZ6rz85fNx7+yn9sKc/Ne7g5k4Lz17v9aeHj3tvP6Mf9vRnxh3c3Fnh2eu9/uzwce/t5/TDnv7cuIObOy88e73Xnx8+7r39gn7Y018Yd3BzF4Vnr/f6i8PHvbdf0g97+kvjDm7usvDs9V5/efi49/Yr+mFPf2Xcwc1dFZ693uuvDh/33n5NP+zpr407uLnrwrPXe/314f8fPSTjYXicddh32L9z/Ydx476Gvffee4QIUVIJRSiKIjsURQihkFmUmb1HS6XMSiUUGSWFKMosioqy/Y7j1/vxx+t53N/7n9dxncd5XZ9/7/P54LRT/f/fQ+2eO/G/e067Z8bzee2eHdx754fnuw+3e0H4+CPtXjgxuef5ovgd3HsXh+e7j7Z7Sfj4Y+1eOjG55/my+B3ce5eH57tPtntF+PhT7X59YnLP8zfid3DvfTM833263W+Fjz/T7rcnJvc8Xxm/g3vvO+H57rPtfjd8/Ll2vzcxuef5qvgd3HvfD893n2/3B+HhL7Z79UT18JfavWaievjL7V47UT38lXavm6ge/mq7109UD3+t3Rsmqoe/3u4PJ6qHv9Hujyaqh0/Vnn88UT186nZvDA+fpt2fhIdP2+5Pw8Mn2v1ZeHjX7k3h4X27Pw8PH9q9OTx8bPeW8PDp2r01PHz6dn8RHj5Du78MD5+x3dvCw2dq9/bwZm53lnbvaPdXwWdt987w8NnavSs8fPZ27w4Pn6PdX4eHz9nub8LD52r3nvDwudv9bXj4PO3eGx4+b7u/Cw+fr93fh4fP3+594eELtHt/ePiC7T4QHr5Qu38ID1+43QfDwxdp96Hw8EXb/WN4+GLt/ik8fPF2Hw4PX6LdR8LDl2z3z+HhS7X7l/Dwpdt9NDx8mXYfCw9ftt3Hw8OXa/eJ8PDl230yPHyFdp8KD1+x3b+Gh6/U7t/Cw1du9+nw8FXafSY8fNV2/x4e/qZ2/xEevlq7z4aHr97uc+Hha7T7z/DwN7f7r/DwNdv9d3j4Wu0+Hx7+lnZfCA9fu93/hIev0+5/w8PXbffF8PC3tvtSePh67b4cHr5+u6+Eh2/Y7qvh4Ru1+1p4+Kbtvh4evlm7U3X/O28E37zdqbvJPc/TdPV3cO9NG57vbtnuRPj4Vu123eSe5z5+B/feEJ7vbt3uGD6+TbvTdZN7nqeP38G9N0N4vrttuzOGj2/X7kzd5J7nmeN3cO/NEp7vbt/urOHjO7Q7Wze553n2+B3ce3OE57s7tTtn+PjO7c7VTe55njt+B/fePOH57m7tzhs+vnu783WTe57nj9/BvbdAeL67Z7sLho/v1e5C3eSe54Xjd3DvLRKe7+7d7qLh4/u0u1g3ued58fgd3HtLhOe7+7a7ZPj4fu0u1U3ueV46fgf33jLh+e4B7S4bPn5gu8t1k3uel4/fwb23Qni+e3C7K4aPH9LuSt3knueV43dw760Snu8e5v+F8PHD/b/QTe55Xi1+B/fe6uH57hH+XwgfP9L/C93knuc143dw760Vnu8e7f+F8PFj/L/QTe55Xid+B/feuuH57vH+XwgfP8H/C93knuf143dw770tPN89sd23h4+f1O4G3eSe53fE7+De2zA83z253XeGj5/S7ru6yT3P747fwb23UXi+e3q77wkfP6PdjbvJPc+bxO/g3ts0PN89q933ho/bY9/XTe553ix+B/fe5uH5rj33/eHj9tgtusk9z1vG7+De2yo837XnfiB83B77wW5yz/PW8Tu497YJz3ftrR8KD7eHfrirHm6v3LarHm6P3K6rHm6P/EhXPdwe+dGuerg9cvuuerg9coeuerg98mNd9XB75I5d9XB75E5d9XB75M5d9XB75C5d9XB75K5d9XB75G5d9XB75O5d9XB75Me76uH2yD266uH2yD276uH2yL266uH2yE901cPtkZ/sqofbI/fuqofbI/fpqofbIz/VVQ+3R366qx5ut9y3q56d0h75mcb36yq3R+7fVQ+3Rx7QVQ+3Rx7YVQ+3R362qx5ujzyoqx5ujzy4qx5ujzykqx5uj/xcVz3cHnloVz3cHnlYVz3cHnl4Vz3cHvn5rnq4PfILXfVwe+QRXfVwe+SRXfVwe+RRXfVwe+QXu+rh9siju+rh9shjuurh9shju+rh9sjjuurh9sjju+rh9sgTuurh9sgvddXD7ZFf7qqH2yNP7KqH2yNP6qqH2yO/0lUPt0d+tasebo88uasebo88pasebo88tasebo88rasebo88vasebo88o6sebo/8Wlc93B55Zlc93B55Vlc93B55dlc93B55Tlc93B55blc93B55Xlc93B55flc93B55QVc93B55YVc93B55UVc93B55cVc93B55SVc93B55aVc93J54WVc93N53eVc93B53RXi4vezr4eH2rG+Eh9ubvhkebg/6Vni4PejKdr8d3J7znSl4nr8bv3NlvPe98HzXHnRV+Lg95/tT8Dz/IH7nqnjv6vB81x50Tfi4PefaKXier4vfuSbeuz4837UH3RA+bs/54RQ8zz+K37kh3vtxeL5rD7oxfNye85MpeJ5/Gr9zY7z3s/B81x50U/i4PefnU/A83xy/c1O8d0t4vmsPujV83J7ziyl4nn8Zv3NrvHdbeL5rD7o9fNye86speJ7viN+5Pd67MzzftQfdFT5uz7l7Cp7nX8fv3BXv/SY837UH3RM+bs/57RQ8z/fG79wT7/0uPN+11/w+PNyecl94uL3j/vBwe8QD4eH2gj+Eh9sDHgwPtwc8FB5uD/hjeLg94E/h4faAh8PD7QGPhIfbA/4cHm4P+Et4uD3g0fBwe8Bj4eH2gMfDw+0BT4SH2wOeDA+3BzwVHm4P+Gt4uD3gb+Hh9oCnw8PtAc+Eh9sD/h4ebg/4R3i4PeDZ8HB7wHPh4faAf4aH2wP+FR5uD/h3eLg94PnwcHvAC+HhdoP/hGcnsAe82O5/g9sDXgoPtwe8HB5uD3glPNwe8Gp4uD3gtfBwe8Dr4eH2gDfCw+0BU/XVw+0BU/fVw+0B0/TVw+0B0/bVw+0BE331cHtA11cPtwf0ffVwe8DQVw+3B4x99XB7wHR99XB7wPR99XB7wAx99XB7wIx99XB7wEx99XB7wMx99XB7wCx99XB7wKx99XB7wGx99XB7wOx99XB7wBx99XB7wJx99XB7wFx99XB7wNx99XB7wDx99XB7wLx99XB7wHx99XB7wPx99XB7wAJ99XB7wIJ99XB7wEJ99XB7wMJ99XB7wCJ99XB7wKJ99XB7wGJ99XB7wOJ99XB7wBJ99XB7wJJ99XB7wFJ99XB7wNJ99XB7wDJ99XB7wLJ99XB7wHJ99XB7wPJ99XB7wAp99XB7wIp99XB7wEp99XB7wMp99XB7wCp99XA9v2pfPVxvv6mvHq6HV+urh+vV1fvq4Xpyjb56uN57c189XI+t2VcP10tr9dXD9cxb+urhemPtvnq4nlinrx6uJ9btq4fribf21cP1xHp99XA9sX5fPVxPvK2vHq4n3t5XD9cTG/TVw/XEO/rq4Xpiw756uJ54Z189XE+8q68erife3VcP1xMb9dXD9cR7+urhemLjvnq4ntikrx6uJzbtq4friff21cP1xPv66uF6YrO+erie2LyvHq4n3t9XD9cTW/TVw/XEln31cD2xVV89XE98oK8eric+2FcP1xNb99XD9cQ2ffVwPfGhvnq4nvhwXz1cT2zbVw/XHdv11dMZeuKjjX+kr1xPbN9XD9cTO/TVw/XEx/rq4Xpix756uJ7Yqa8erid27quH64ld+urhemLXvnq4ntgtPFxP7B4eric+Hh6uJ/YID9cTe4aH64m9wsP1xCfCw/XEJ8PD9cTe4eF6Yp/wcD3xqfBwPfHp8HA9sW94uJ7YLzxcT3wmPFxP7B8ericOCA/XEweGh+uJz4aH64mDwsP1xMHh4XrikPBwPfG58HA9cWh4uJ44LDxcTxweHq4nPh8erie+EB6uJ44ID9cTR4aH64mjwsP1xBfDw/XE0eHheuKY8HA9cWx4uJ44LjxcTxwfHq4nTggP1xNfCg/XE18OD9cTJ4aH64mTwsP1xFfCw/XEV8PD9cTJ4eF64pTwcD1xani4njgtPFxPnB4erifOCA/XE18LD9cTZ4aH64mzwsP1xNnh4XrinPBwPXFueLieOC88XE+cHx6uJy4ID9cTF4aH64mLwsP1xMXh4XrikvBwPXFpeLieuCw8XE9cHh6uJ64ID9cTXw8P1xPfCA/XE98MD9cT3woP1xPfDg/XE1eGh+uJ74SH64nvhofrie+Fh+uJq8LD9cT3w8P1xA/Cw/XE1eHheuKa8HA9cW14uJ64LjxcT1wfHq4nbggP1xM/DA/XEz8KD9cTPw4P1xM3hofriZ+Eh+uOn4anM/TETe3+LLie+Hl4uJ64OTxcT9wSHq4nbg0P1xO/CA/XE78MD9cTt4WH64nbw8P1xK/Cw/XEHeHheuLO8HA9cVd4uJ64OzxcT/w6PFxP/CY8XE/cEx6uJ34bHq4n7g0P1xO/Cw/XE78PD9cT94WH64n7w8P1xAPh4XriD+HheuLB8HA98VB4uJ74Y3i4nvhTeLieeDg8XE88Eh6uJ/4cHq4n/hIericeDQ/XE4+Fh+uJx8PD9cQT4eF64snwcD3xVHi4nvhreLie+Ft4uJ54OjxcTzwTHq4n/h4erif+ER6uJ54ND9cTz4WH64l/hofriX+Fh+uJf4eH64nnw8P1xAvh4XriP+HheuK/4eF64sXwcD3xUni4nng5PFxPvBIerideDQ/XE6+Fh+uJ18PD9cQb4eF6YqqheriemHqoHq4nphmqh+uJaYfq4XpiYqgerie6oXq4nuiH6uF6Yhiqh+uJcageriemG6qH64nph+rhemKGoXq4nphxqB6uJ2YaqofriZmH6uF6YpaheriemHWoHq4nZhuqh+uJ2Yfq4XpijqF6uJ6Yc6gerifmGqqH64m5h+rhemKeoXq4nph3qB6uJ+YbqofrifmH6uF6YoGherieWHCoHq4nFhqqh+uJhYfq4XpikaF6uJ5YdKgericWG6qH64nFh+rhemKJoXq4nlhyqB6uO5Yaqqcz9MQyjS89VK4nlh2qh+uJ5Ybq4Xpi+aF6uJ5YYageridWHKqH64mVhurhemLloXq4nlhlqB6uJ1YdqofriTcN1cP1xGpD9XA9sfpQPVxPrDFUD9cTbx6qh+uJNYfq4XpiraF6uJ54y1A9XE+sPVQP1xPrDNXD9cS6Q/VwPfHWoXq4nlhvqB6uJ9YfqofribcN1cP1xNuH6uF6YoOherieeMdQPVxPbDhUD9cT7xyqh+uJdw3Vw/XEu4fq4Xpio6F6uJ54z1A9XE9sPFQP1xObDNXD9cSmQ/VwPfHeoXq4nnjfUD1cT2w2VA/XE5sP1cP1xPuH6uF6Youherie2HKoHq4nthqqh+uJDwzVw/XEB4fq4Xpi66F6uJ7YZqgeric+NFQP1xMfHqqH64lth+rhemK7oXq4nvjIUD1cT3x0qB6uJ7YfqofriR2G6uF64mND9XA9seNQPVxP7DRUD9cTOw/Vw/XELkP1cD2x61A9XE/sFh6uJ3YPD9cTHw8P1xN7hIfriT3Dw/XEXuHheuIT4eF64pPh4Xpi7/BwPbFPeLie+FR4uJ74dHi4ntg3PFxP7Bceric+Ex6uJ/YPD9cTB4SH64kDw8P1xGfDw/XEQeHheuLg8HA9cUh4uJ74XHi4njg0PFxPHBYericODw/XE58PD9cTXwgP1xNHhIfriSPDw/XEUeHheuKL4eF64ujwcD1xTHi4njg2PFxPHBcerjuOD09n6IkvtXtCcD3x5fBwPXFieLieOCk8XE98JTxcT3w1PFxPnBweridOCQ/XE6eGh+uJ08LD9cTp4eF64ozwcD3xtfBwPXFmeLieOCs8XE+cHR6uJ84JD9cT54aH64nzwsP1xPnh4XrigvBwPXFheLieuCg8XE9cHB6uJy4JD9cTl4aH64nLwsP1xOXh4XriivBwPfH18HA98Y3wcD3xzfBwPfGt8HA98e3wcD1xZXi4nvhOeLie+G54uJ74Xni4nrgqPFxPfD88XE/8IDxcT1wdHq4nrgkP1xPXhofrievCw/XE9eHheuKG8HA98cPwcD3xo/BwPfHj8HA9cWN4uJ74SXi4nvhpeLie+Fl4uJ64KTxcT/w8PFxP3BweriduCQ/XE7eGh+uJX4SH64lfhofridvCw/XE7eHheuJX4eF64o7wcD1xZ3i4nrgrPFxP3B0erid+HR6uJ34THq4n7gkP1xO/DQ/XE/eGh+uJ34WH64nfh4frifvCw/XE/eHheuKB8HA98YfwcD3xYHi4nngoPFxP/DE8XE/8KTxcTzwcHq4nHgkP1xN/Dg/XE38JD9cTj4aH64nHwsP1xOPh4XriifBwPfFkeLieeCo8XE/8NTxcT/wtPFxPPB0erieeCQ/XE38PD9cT/wgP1x3Phqcz9MQ/230uuJ74V3i4nvh3eLieeD48XE+8EB6uJ/4THq4n/hserideDA/XEy+Fh+uJl8PD9cQr4eF64tXwcD3xWni4nng9PFxPvBEeriemGquH64mpx+rhemKasXq4nph2rB6uJybG6uF6ohurh+uJfqwerieGsXq4nhjH6uF6YrqxeriemH6sHq4nZhirh+uJGcfq4XpiprF6uJ6YeaweridmGauH64lZx+rhemK2sXq4nph9rB6uJ+YYq4friTnH6uF6Yq6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_AQAAAACAAADoHAAA+AQAAA==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AQAAAACAAADoHAAAtgAAAA==eJzt2KsWglAUhGGjgjeUbMZsZi2bVsk8BFa6maxVs5ls1kwmY9UsZ5/uvMC/y/cGs/ZMVq9O3WG4zfCv3ySvHh9UXs7uRihMg+ZapAEK2zK+71pU9iHVJ1WIwrWLqWSMwtfTHSqPFlQTFLqUKuMpCu3drFFpMZXPUDiwm6PQ9zxU3goX6Kj0fRiVeyswEQr9boDKt6t5HSr9vrJAob1RFSr9DoXKjd0ShX6vQ6Wt5A0qf9Hozjg=AQAAAACAAADoHAAA8RkAAA==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AQAAAACAAADoHAAAixYAAA==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AQAAAACAAABQLgAANwkAAA==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AQAAAACAAACgcwAANxIAAA==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AQAAAACAAADoHAAA9wQAAA==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AQAAAACAAACdAwAAEQAAAA==eJzj5BwFo2AUDEoAANeOIIY=
26
+ </AppendedData>
27
+ </VTKFile>
CylinderKnMa/Kn0p32/simulation0670_Kn0p32Ma3p9/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/Kn0p32/simulation0670_Kn0p32Ma3p9/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 0.32
13
+ variable Ma equal 3.9000000000000004
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/Kn0p32/simulation0670_Kn0p32Ma3p9/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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+
8
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+ # Species data
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+ # molecular weight (atomic mass units, e.g. 16 for oxygen)
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+ # molecular mass (kg)
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+ # rotational degrees of freedom (integer, unitless)
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+ # inverse rotational relaxtion number (unitless)
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+ # vibrational degrees of freedom (integer, unitless)
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+ # inverse vibrational relaxation number (unitless)
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+ # vibrational temperature (K)
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+ # species weight (unitless)
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+ Ar 39.95 6.63E-26 0 0.0 0 0.0 0.0 1.0 0.0
CylinderKnMa/Kn0p32/simulation0670_Kn0p32Ma3p9/gas.vhs ADDED
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+ # diameter (m)
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+ # omega (unitless)
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+ # tref (referenced temperature)
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AQAAAACAAADoHAAAAhsAAA==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AQAAAACAAADoHAAApQgAAA==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AQAAAACAAADoHAAAFw4AAA==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AQAAAACAAADoHAAAsBcAAA==eJw9WXdcTf//bymFMkLKysjeyvYqq4zIniFk9UEhErKSESmFbAmVLS2U1y3tvfe4t9vdjXtvdbtp+J33Off76w+Ph0e3c895vZ+v5zq7PobGz+4tRC9N0+0srUZUjx+6yOOEEPu/jYsfbJYDSbJ+Trkm1vD3qd3Ny0ub4Ejya1H9gXJYXykzw+UhcPnJjqjiwSLoQf8iEaxPthuIogvAWW/SwE2b3oJH8nXqypkQcPSlT0pvDvbtMevd3rvRYPf+4vzhs6qxLLttI/dtAZzevf9RaHUyLJLraObEsTHx29TjwepK3DMho2/Kz38oLPv4d9exblRjflgVt7sc2+qUGDP62aBYIRsrjg1+Ipkths8HUlaM3M0D7RfnDR4NzYGP3hWH1U7IQXaYezNSWQh92FN8XymTcFKwX86kF+FwI2Rr+sxEGcy/n3HJBjUs918qW3Rum67l7+mPJxoNNLCcSn16Bl/H8q/H0djT/hKoXTBDkmTXCO8dnS765Yqh6WPVmaAfIgi+P1/d1lMKWv92pvncFcEVraR7M862wNPNLz98KlWCYFiI0GZqHayZc8tqL08OrRUlV06taIGO0wsPvprJhv3jx5VvtimBO8Xri7TWs0G/YpCjRWotiKK/aAruyOAaKz1oeRQfigRHJykedYANXhw291An/JH2mzH2fj40a249p+HwBfu6jrhcaCYC/Snhz5tCOqBfys+Yu9otUHrgrvvNFWywWBi34aFpMW7zPTj5SXYj8nJHVbR7lAN10Sr/Gy0g4JbbzciuAc/WS/rNvCJY5v2foCOsAw7O+NYeY1ENDS8WTi58IsPF57aFmmfJULu/ISRXSnHhqrELg0ruwfG/30dMGJUBo3xcXUz6pOKrLpt+Q7bEwwC5Vc7BIjkeGN5+7YqgDuO4hsPSeLXwYfHWnd9QCEsWkxOWwdeTh/0aOjUszequvciaqGZZP+3XOINezaAcMljf80AJSGotjFk7m7ExQL/437xSNM3aNvv580J0T5lAHWEJ2tIDyIYR/TaOurX7N8w+dDF9xvY32NgzpMe0v3ywu/voeP9rbRD5Z4+/uTgeD38Xn4oc2M7gq6EHa+bm6RPDBrTizB3Wmwcs44NV9KPZKyQNcGHcwTij9BLQm7qlcK9xMdxRrs10n5EKm6t9nHdI2RDWofbGwoWPOQTOT6uxkxt31DFBBIeWHTkhvd4G1Ew9l2iJAffO+W9ngBg/T+z43LO7Br8Neqmxd2EV+i1/4qbj9hrHumo86WnChZXPL5sleBVgN4Vyh6BmpOF5UYHfOKIH4b2laNCYXX5scDImrKnA8PwmmFecdGz25WaoZ80bvep8K3jtKIjlGnZAlvbjA3WTSzEgdn7K5fo8bF213WtusRh1TV7snpDRiQw+u5D+b9923KOTPWR9eQX+Wnpbvb+tL7TH2V5SjI6H02Me/fPt1rDsNDpV0l/eBWK3TEvHTjEo3NtSzhclo3PPzUcVlt+xwHZf323zKmHEz1e/HddmwJ58o0/B7yVAHdpIK1kRuIwc0yuQlQbcMGvjyuJ3EPRj7egpD1JArDW7n8XCNKgP3rh1cUaKal9q4RvWU4iToPuQpJOrP3Bx/75ml2OhPOQSGIwUquaRhUfjvX9fnZ2BuhsDVnMHh0MoWetvDXjBgZxoJ15bTyYqx4tgvvvnShZY9dI1sq/+iBO3uj3yVlbiuBk9Pw7dUQov9hWNzGz4DFE/ZixyuCWAkiNv3srP8MB57AILDVk9nsSl61+tq8cTL8S+Tzk8pEjMbsi/dHS4Y2O4o/g50rBnK9DJpnK/aCkbQz5feCiIr4Ff1BZKB0lhvntn9TsQQce5jX56+1NwwLIqnZGRHCwynfOnj5IFK18/Wj85WgwbBetll6wjwEvrztQT+tF452dxdcj7yxhw4zp1sjzcvTpVZ9FTORaNeh0Yq/4Zi4//yt0VUgae/Q+Wdz/IAmrZKKYQ4/ur5MHbcMO4V7e+cqRIHR61iK1Y+IRPTbgTYx/6GrhbKPEZR/uChxEb96aKt+SszMGh9KLJ8OqpFQEK7UYcGDY9qm8dD5+vdtlcdpYNg+L/bQnfXwSPpau7YsMSYfbUoT3TNNJhku0qamUyYTO9iCzYQANZitJBNnadRiKcknPt1/czOaA2P/PR4L1/sO8XyeB6ryT0+bLo+xjLEqTASQFZhtRyUx9gwYgSr9su3enwwdTl3lsDIWjSAKmFKaYjWv7bEoe5er23V4l5SJFmm7pNBbavjFyXsr8Wcwznf/m2OgbbRASoXFA3ynkVdKkSohv5Yfo/+KAWZvussikVRGbk4BVA01hkGxg8m/U6Yo4E5gb1Vb9hF4/lRHaSWrDIjXxShgPvrKKg2qKafwsy+tGOt3p/cBvdXI00feRyMHzFomXBC6pVOMnFE7Qg8GEbgeXUeiBbWX8kB+7KHBThDR9VupGINibWH5NC6pGWvZgOpECoE2BbAJ7vbwwX1J+CUevuf358gY9uP242JX4U4ktCx/xWdHpy9tnr0UpM6g4/L//agovGxZ240NCAvzzij5dGFSMnL7mfk4wN4z3u/HDSbYZYv3N1Btq55KE9L+SmwMnbPnXyEVKgH2uzDO6ZeMypCvfHnWO3Dc3uLAZl5/QlbhECaD7jWXB1cB4YRGgs3RItAYLiXlblsJI2Ao1Ay4WsFdwuxW79tIYLpgvL5+6bko8f/50KnDatDmk6TFMgPWalDGvJ+rrIMfBIx9YtT4TYkdGY9meJDA9k2lO3Eo88jxuvLV/ycHn/uDv7fsQBwy9SGCI4scRUQwwH6Z8GEOuuXvjqv0aU55MPpMGPmqDxueM4wOx/CWymF40Dknmii1ynMgjedvyI+Zhk8B9mcsXN/g8yOKsEzvI9Vk++FWKHsPBBjjwf3Zsdv89W34uLVv48KM+qhHkRqWd+v0wGR2fCqGy0r1yh6daLD4I74xv6/M6E1/ueoe51Fk6mF4GLG5bLJjo9jQL3t5OXUjsFhoLQYO7Rr0jr2/tGvC5ZHzP8OhsYPs+HwsLwyN82EujrbkFJ4y/0e0oWkwX7lDcD+6+sQ4qkDiyo+d8+tWIeke+jUpRQKtaRIcWHS8kJtGG91zHvmSZilF0On7DVrULF61WYP//9k5HiSvDYShBXCPuX93nnoGQh+fdmYC4aV1nVrwnKwZBzRFBT0NXfSGuL/jckp5pv26riEwW+tr8e8HJTBvC3nrq81ycXCSq/Z0nw8S9CKAlYOMlxSO02IfqutW+fnCPE9D9LPh2pluHZ3y+Np1W1wV7aeLQCUfdIMzXL1bwGSqHLkPEfXDRYfmWx3zgBjvrPjRqdFJ8SurJJxhjXOetcU4VAiW/AgIYG8MkcfWm6lA8DJusf8jDPQ+I+v2iy0citcdGuk2w0DnbdZG5ViRuWeW2O9WvEQIpdI4zFmPt9e+uPcikSFY6+X4ReJ8kTifDi56h9l8rEGLPAKdr+cC5SYDg8f4EE6eO34OGeFd8q84+KkcFRCpTfM/RzGJj3/3w57uZPA8ujRcj4OynuCVxDUUYzsn/rU5D/ixY00OqRMlc9Sq2FmCc6N2eQ4WcI2cWxn1pbhtuDh7/OG8ZGRr+USMvSgW6Mr3WmRp2IztqXMHDKD5Wf/oqrzl+btuYdD7RoALbCFDPyDaU4kRfZ/+fqKKw/cgPNnCqxcQdxWEqgTCO1guqWCV6EuDoB/MatLFnDAcp1XQDz3yhtd/CUHk6Bqt5z2M1/quFx/5UtM2/HI22DQjl4ojRq/HerYpTvjpzJecTGGFGOx5ubdaj3ulHTt5yNsT0Ik8rQPvHsvmLvKjxDjisrE4293333j6+Ac6ObU0f0LoX/nfeoLoUr+5kIJwgV95MPi3A1bQSqVX4lC42PswQ3+olgvMO7hj3byzCjmd34sYqHq8bkZYx/WIIdPX45VLyuBM8D6gNiXDNATaP4vf2AKDTP33BuQUIV3CVrOV0IR9jW5vVtEfBp9oQeVbsrwepqbUrgL4XK97dCz3sWPtu8BUDL0bEUPDpgXNsCwwKYu7I5JcLiExRvIU60CYYuefBkUS4HTPq3bfubmwfk2zO1+VhL5NO0EvqO9rQ2seZBmmktf9PMGKRI0n2tOxdN/e88u76oCZHAICIHbZt9Np4eIwfNAC/j62P8VecSA4oIYkwLUWdJ+GXdylK4t5E4LwGwcmKcR46phZCMfZQDKoDY72cqrvPTYaz9rPaDT4WgsO/XeWIsGw0u2RaH3qhH6W32pUllFcDsqwxNplWN0b7SiT8Sfu1KPCtQ5akypEwHxeyNqBi/615CqxQnDfAIezmnFnnyEfkn9rDxbdtdSpkbsdcECFOIBFiRmNalv7wA7+/qXvq3QQGEfWJPVwH1x9QVpGDr2WfdlwAZbOxBJaIrapZfAhxv7rfvhjQevKn53QHpxq197zZK4FFSIp9bXoxnbok/XflUDIINuzYr7CWgTi4wTc2StrPRFD9QrsbvYTJENXcVuomE4GDsde/mhBJVbkrAc8Mrn0dWFKv8VhlSLtWjY34uMvPIwbGZEV2TJnEg+31O0Zb6VtWeKnBGf/PJQYM8MEY7atXXuflAmW7igPHW+ckXhVdLQWpnKBxwLhv7dA3YRUVkZHx1C3zJnjHyfBwXdGgCbgXGn/8Fen12N6t8UDmY9yYJpEjFXy04My11e2lBLSRs8hnzzMUVGT2ow0wid5/kOH3NO70VYyuQ8R982EXn8iaodiHC3AYklYZGqlkuoLaitTEHdlFuen+mDKMvOb5dOSFf9bwVsO+Q3vOS0iaYa7h4p47OU1hPHuM+G5icIYGzfRdsFMbWATXU9Ip+bGiI6pXlapwFcNrqYsazfOy5IOm9VWA0+HLSFx7cbYavnPZYTqv8pvJpQowja9magDoF0y8sW1OH/G8HD/j+CkRJ6NGroR2JQIkpFXHy0WCP2W3fn8eg+NML/+o55bDqCbyLPPIG6di4QA5M7pLDFjqoNsGXsUQQlaB0TnMJOc2Gh2ZvX1WsFgIVuikBkkOnOWFGAVCiMjg6rxBG/x7wfXfveBjybzE34QoHN326vv2w4Cv0inxHKVc26PfNzOO21cF8y+nW92ry0N35LGWRE9HPgAhrDtIxoHcd8p4eO75mXTnokniox4dTtEFOBiqklY305+CTJQLzM7eqIYpySd+3y+AOlTL251UDbR/t+Kr946n0vxPC3qy1HOAgBcLKeivkSNPBRwlm1ZEvEuM66rd/Crqxzx/rxAAbEW7w2NBQIJOo7kuOM2nDV4N6WJjz9HYs7iP08rgUph0hzUApUOK/7u6jYuTpNZ3sV/MDmD1sAMZevMPzRBYnRsBkm1mDbA/VwUW/3IenJtTCDxI/bKQw71l70dCRLMg7fWbm3FXpePniaXH6IS78V9+/aKdmhSrv5sLmG5WUAlTg2PtCR8OMeDRNtdKddSwDZgWP6BOSGQnjyPEYF0F0nlq1hi4HtE61KONsa0F7Irfm0K5ScDixz2atWRTQMhDERfNeEQveGEWofEo+MnwuRu8/j/dkqfPwKH3QaiyCavvV3cj4UgW2aRMFVWd5k7rHQYkqv440nQ3UZBF2f/xeg0X75blqLP5nAiQp0jR4uBS/br6axMn8A9vreVP6hDvBmnXbatUda8D4SFjsME4TlPOTWzzHVkPW8MM9vD42Al1D7FIC0wOoWcaHkgPtgGnHg9Vje3QC01cpYO+ZdcMHHVUCOc1Jjm1AtmeqtxDo405qgPNOez9oeTeA1ieWb9GndCDpNm6DEAfHCifZzEpA+4SgaDe3aJzw3cpsyDwBGpN6Qz0Hl//So5g2G3Im69ptzKiEI6S2MhQBaZ3WRgiB+lJKOpQqHy+F3rRQVMO992aU80jFV6wF7S2lD4Hxz934VZMgU41F+8Y96qz1dFBQItPrKJGOM/0USO9NmAaLwZEMmR5PjoX6ZJJNaEcHfwVSpul2l2O3KmfIcWv4/tF9vxQhaQHSPQUqn5OKOoRWn9XiTjrAtwJ9ThM1LevaLLrK7knAKPxn0an8WvjppNv+6lAjMD5HCtNpQ9gCshZSVNSCJS3E1cDkVAUwOUcOXVPUlSGbwmDuFLe8rb7JaKt861G9KRG69YlxrAeSwqf4NgJd54XKVPojhWreKIo5eCqf1AgkTUSkymD0wORBV4dWAvft08SRX9mq55Cq+gN1lvH6cpMLDl24jQ4AbUhf/pUmizl/bRbTK8lUPY0UW24tpCwjH2ma0ejAO6SGvNKMk4weFOoe5iFzP21olvI8P/6vGNM3EaS1qfq4TsxZq22d9uEPiom96i0AsvXH+xfAO3J7JzuAmWs7jDcgJ9cB1BApRlUA4+vkkE/W8jYHFKOXH9iWRPk715NetT4hQNeGy2RAhQ4qeXThJvqBlZh2hhjzdmT+TomhRiRgiZCOwW+56OAyt/nDPLGqv+ADw2P1MCOqb90rzyJYQRdXZSrdkmDN+v1LMsdeR0cSc28UYK4BYcICXKRXEuy8qBUZHtdgMX5diUxvwVf5k2QM1iYCk4u3NS5SkTcdiQtMCOap5tiJY8gCSNRYGx+a+ri66LFsOO6Gn617sJjna0aipq4aSrQQrj5xaeptOBly+mt3jhAWDl7hvv5XCOoHraJWng9eixqkJQdEoEXq7+MiYPxKJxjt7HnSLoELM6jU65KYq+oxuUiRdeCV9FzkOpENLcCdUcWDdY/FIzVkk8fW2dga1Eu8k1+JS5b+0xo8KVnVy/CA6a/SYMI5Vx/1slqcRxeYWahJB+xaJOnM5EIaMP46H6Svv4zM2pYKFDlTFicPXbev+W/xZy4OJ7XYv5b/+UekaeWhBNdGfPCV+4uRtrUPWaoczcU1pK5ZXop5OYWSQVf8oLuQFBkyZPyvEpmeSIHhpG6P7cYABUW4mRqs04SmGxuRfg2wUY7tpO4M+IX3nHdQt1aqyusipGPwZRaempq02bFGgoY9/i57MaYKvTeRCbKQ4c0WdKYDqBxpX6guQ6OL5I2BABkfl67qC+uwpktGJQsuNBI79VMK/0xJQFCAb9v7B7pYDLQcHuCBGl2oFODlaEvqSUrR7pjzqL+RD6BsDyFmoaof5WIEiXm365Dxf21Ij89UhlN2Srw9owS4KaxM8xMrE5g5FeLA0CS2Q/kXsLIZNP3KzhTVHrKZnnuXih/3qbMYnCiQhp9JFzK9hxorkGIBVro6y4UAXaqu0rMOZHyyHO0siHJnAZfEucu5SNC140IpfvxUSt15IZjr9OQLZVUwknLfOtll0PJuFMVMImD6oDxg8CXAI8NIwyZAhleFqrkJcNaxf+mr/EUwiCbYZJx66udkM4sU/CvXqA/eKEE6Zg2LU/UM5ZgwmxjVYrxLpZMGaa2qn/+N5k1zl1MagEzP06Tqh2XYIzTM0eliFdrVzKSiCB9PPV+xY+IJCVIhepjJlXr8QGTIMh0uGDwaenZVGRIXZtElUuG2Fb/3dvnoXdGBeZ+XpK9734Cz6Bc9rar3Ol14hiZuddbPuDczdlizYW+W+tV57qWwttfuloFvHqP0GHnBUA1zKBUx9KNw4EfZfedsOH6Mcy6sNAZOUtPUu/wNhidmG87/8gMZHahDmsbDpKhBF4C1yLzXaUam/6lDfKJJWRgOLP7cZyC3Uwi+K1dkJ7xgQ6OEGH8hXFsz8+QgRSHQNGiZC5k6WvP9LSKB6ZWl+CG8iUpcJSjSJw6cB/T5O0thqNXEJJ/kIIwbxolgL68CJnfFIXk7k7yag9Uftph1bhAg+bYzyhp8PJEIRCEenf3DSFMSCN63slIig2rxDPtZv7dxciRu06SgCo/PJshvV/myeqBr26Z61fsiJTB83gFm9MK1AtMTtoGlLUE+D5iehqvqwbKhpGphkekcMejSABID876kDuh43k8GrrSBbQAmJ+aDHW28OUDDV68SpPigvrRnDKQGkgsrVD7pH3wmsB4uB7pWfMkGteRZh4UvOaq804p9fO5vFRiV47slC/tPWxcNvU0FXZeeRcBg2fPA1n1s8Kd+6xsnUM2tFSJv+XcMu12teo/2FxzoovwR3iB114E60KIDhQxZ5LVBYTXStc+5XPw/ntqAQw==AQAAAACAAADoHAAAxRYAAA==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AQAAAACAAADoHAAAHgAAAA==eJztwQENAAAAwqD3T20ON6AAAAAAAAAAvgwc6AABAQAAAACAAADoHAAAHgAAAA==eJztwQENAAAAwqD3T20ON6AAAAAAAAAAvgwc6AABAQAAAACAAABQLgAANwkAAA==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AQAAAACAAACgcwAANxIAAA==eJxd3FcYxmPhh/He90WIskVaQmWTrYQKIaOFZGSv7B3SoEGKMoqslIyioZKtUvbIbmnvvaf/wf/3Ofjdz8n3uu7rPr5Pnut5nvKU/z+TYV847HLh02FfFA+fDfviePgcwy4fD59z2BXi4XMNu2I8/KnDrhQPn3vYlePh8wy7Sjx83mFXjYc/bdjV4uHzDbt6PHz+YV8SD3/6sGvEw58x7Jrx8AWGXSsevuCwa8fDFxp2nXj4wsOuGw9fZNj14uGLDrt+PHyxYV8aD1982JfFw5857Abx8CWGfXk8fMlhN4yHP2vYjeLhSw27cTz82cO+Ih7+nGFfGQ9/7rCvioc/b9hN4uHPH3bTePjSw24WD3/BsK+Ohy8z7Obx8GWH3SKeDunNa4bdMlxvtoqH683W8XC92SYerjfbxsP15rXxcL15XTxcb14fD9ebN8TD9eaN8XC92S4erjfbx8P1Zod4uN68KR6uNzvGw/XmzfFwvdkpHq43O8fD9WaXeLje7BoP15u3xMP1Zrd4uN7sHg/Xmz3i4XqzZzx8w2H3iofrzd7xcL3ZJx6uN/vGw/Vmv3i43uwfD9ebA+LhevPWeLjeHBgP15uD4uF6c3A8XJcOiadDenPYsIeG683h8XC9OSIerjdHxsP15qh4uN4cHQ/Xm2Pi4XpzbDxcb94WD9eb4+LhenN8PFxvToiH683b4+F6c2I8XG/eEQ/Xm3fGw/XmXfFwvXl3PFxvToqH7zrsyfFwvXlPPFxv3hsP15v3xcP15v3xcL05JR6uN6fGw/XmA/FwvTktHq43H4yH682H4uF6c3o8XG/OiIfrzYfj4XrzkXi43pwZD9ebs+LhunR2PB3Sm48Oe0643nwsHq4358bD9ea8eLjefDwerjfnx8P15oJ4uN5cGA/Xm4vi4XpzcTxcbz4RD9ebS+LhevPJePiJw34qHq43l8bD9ebT8XC9uSwerjeXx8P15op4uN5cGQ/Xm8/Ew/Xms/FwvbkqHq43V8fD9eZz8XC9+Xw8XG++EA/Xmy/Gw/Xmmni43nwpHq43X46H681X4uF6c208XG++Gg/Xm+vi4XpzfTxcl26Ip0N6c9OwN4brzc3xcL25JR6uN7fGw/Xma/Fwvfl6PFxvvhEPv3DY2+LhevPNeLjefCserje3x8P15o54uN7cGQ/Xm7vi4Xpzdzxcb+6Jh+vNvfFwvbkvHq4398fD9eaBeLjefDserjcPxsP15qF4uN48HA/Xm0fi4XrzaDxcbx6Lh+vN4/FwvflOPFxvvhsP15vvxcP15vvxcL35QTxcb56Ih+vND+PhevOjeLgu/TieDunNT4f9SfjNw/4sHq43P4+H680v4uF688t4uN78Kh6uN7+Oh+vNb+LhevPbeLje/C4erje/j4frzR/i4Xrzx3i43vwpHq43f46H681f4uF689d4uN78LR6uN3+Ph+vNP+LhevPPeLje/Cserjf/jofrzX/i4Xrz33i43vwvHq43T8bD9caF05PhejOZjD1cb6aTsYfrzWwy9nC9mWMy9nC9mXMy9vAnhp1rMvZwvXnqZOzhejP3ZOzhujTPZOzpkN48beDzTsZcb+abjD1cb+afjD1cb54+GXu43jxjMvZwvVlgMvZwvVlwMvZwvVloMvZwvVl4MvZwvVlkMvZwvVl0MvZwvVlsMvZwvVl8MvZwvXnmZOzherPEZOzherPkZOzhevOsydjD9WapydjD9ebZk7GH681zJmMP15vnTsYerjfPm4w9XG+ePxl7uN4sPRl7uN68YDL2cL1ZZjL2cL1ZdjL2cL1ZbjL2cL15YTxcb14UD9ebF8fD9Wb5eLjerBAP15sV4+F6s1I8XG9Wjofr0irxdEhvVht21XC9WT0erjcviYfrzRrxcL1ZMx6uN2vFw/Vm7Xi43qwTD9ebdePherNePFxv1o+H681L4+F687J4uN5sEA/Xm5fHw/Vmw3i43mwUD9ebjePhevOKeLjevDIerjeviofrzSbxcL3ZNB6uN5vFw/Xm1fFwvdk8Hq43W8TD9WbLeLjevCYerjdbxcP1Zut4uN5sEw/Xm23j4Xrz2ni43rwuHq43r4+H69Ib4umQ3mw37BvD9Wb7eLje7BAP15s3xcP1Zsd4uN68OR6uNzvFw/Vm53i43uwSD9ebXePhevOWeLje7BYP15vd4+F6s0c8XG/2jIfrzV7xcL3ZOx6uN/vEw/Vm33i43uwXD9eb/ePhenNAPFxv3hoP15sD4+F6c1A8XG8OjofrzSHxcL05NB6uN4fFw/Xm8Hi43hwRD9ebI+PhenNUPFxvjo6H680x8XC9OTYerktvi6dDenP8sMeF680J8XC9eXs8XG9OjIfrzTvi4Xrzzni43rwrHq43746H681J8XC9OTkerjfviYfrzXvj4Xrzvni43rw/Hq43p8TD9ebUeLjefCAerjenxcP15oPxcL35UDxcb06Ph+vNGfFwvflwPFxvPhIP15sz4+F6c1Y8XG/OjofrzTnxcL35aDxcbz4WD9ebc+PhenNePFxvPh4P15vz4+F6c0E8XG8ujIfr0kXxdEhvPjHsxeF6c0k8XG8+GQ/Xm0/Fw/Xm0ni43nw6Hq43l8XD9ebyeLjeXBEP15sr4+F685l4uN58Nh6uN1fFw/Xm6ni43nwuHq43n4+H680X4uF688V4uN5cEw/Xmy/Fw/Xmy/FwvflKPFxvro2H681X4+F6c108XG+uj4frzQ3xcL25MR6uNzfFw/Xm5ni43twSD9ebW+PhevO1eLjefD0erjffiIfrzW3xcF36Zjwd0pvbh/1WuN7cEQ/Xmzvj4XpzVzxcb+6Oh+vNPfFwvbk3Hq4398XD9eb+eLjePBAP15tvx8P15sF4uN48FA/Xm4fj4XrzSDxcbx6Nh+vNY/FwvXk8Hq4334mH68134+F68714uN58Px6uNz+Ih+vNE/FwvflhPFxvfhQP15sfx8P15ifxcL35aTxcb34WD9ebn8fD9eYX8XC9+WU8XG9+FQ/Xm1/Hw/XmN/FwXfptPB3Sm98P+7twvflDPFxv/hgP15s/xcP15s/xcL35Szxcb/4aD9ebv8XD9ebv8XC9+Uc8XG/+GQ/Xm3/Fw/Xm3/FwvflPPFxv/hsP15v/xcP15sl4uN54cPlkuN5MpmMP15vpdOzhejObjj1cb+aYjj1cb+acjj1cb+aajj1cb546HXu43sw9HXu43swzHXu43sw7HXu43jxtOvZwvZlvOvZwvZl/OvZwvXn6dOzhevOM6djD9WaB6djD9WbB6djD9Wah6djDdWnh6djTIb1ZdOCLTMdcbxabjj1cbxafjj1cb545HXu43iwxHXu43iw5HXu43jxrOvZwvVlqOvZwvXn2dOzhevOc6djD9ea507GH683zpmMP15vnT8cerjdLT8cerjcvmI49XG+WmY49XG+WnY49XG+Wm449XG9eGA/XmxfFw/XmxfFwvVk+Hq43K8TD9WbFeLjerBQP15uV4+F6s0o8XG9WjYfrzWrxcL1ZPR6uNy+Jh+vNGvFwvVkzHq43a8XD9WbteLjerBMP16V14+mQ3qw/7HrhevPSeLjevCwerjcbxMP15uXxcL3ZMB6uNxvFw/Vm43i43rwiHq43r4yH682r4uF6s0k8XG82jYfrzWbxcL15dTxcbzaPh+vNFvFwvdkyHq43r4mH681W8XC92ToerjfbxMP1Ztt4uN68Nh6uN6+Lh+vN6+PhevOGeLjevDEerjfbxcP1Zvt4uN7sEA/XmzfFw/Vmx3i43rw5Hq43O8XD9WbneLgu7RJPh/TmLcPuGq43u8XD9Wb3eLje7BEP15s94+F6s1c8XG/2jofrzT7xcL3ZNx6uN/vFw/Vm/3i43hwQD9ebt8bD9ebAeLjeHBQP15uD4+F6c0g8XG8OjYfrzWHxcL05PB6uN0fEw/XmyHi43hwVD9ebo+PhenNMPFxvjo2H683b4uF6c1w8XG+Oj4frzQnxcL15ezxcb06Mh+vNO+LhevPOeLjevCserjfvjofr0knxdEhv3jPsyeF68954uN68Lx6uN++Ph+vNKfFwvTk1Hq43H4iH681p8XC9+WA8XG8+FA/Xm9Pj4XpzRjxcbz4cD9ebj8TD9ebMeLjenBUP15uz4+F6c048XG8+Gg/Xm4/Fw/Xm3Hi43pwXD9ebj8fD9eb8eLjeXBAP15sL4+F6c1E8XG8ujofrzSfi4XpzSTxcbz4ZD9ebT8XD9ebSeLjefDoerjeXxcP15vJ4uC5dEU+H9OYzw14ZrjefjYfrzVXxcL25Oh6uN5+Lh+vN5+PhevOFeLjefDEerjfXxMP15kvxcL35cjxcb74SD9eba+PhevPVeLjeXBcP15vr4+F6c0M8XG9ujIfrzU3xcL25OR6uN7fEw/Xm1ni43nwtHq43X4+H68034uF6c1s8XG++GQ/Xm2/Fw/Xm9ni43twRD9ebO+PhenNXPFxv7o6H68098XC9uTcerjf3xcN16f54OqQ33x72gXC9eTAerjcPxcP15uF4uN48Eg/Xm0fj4XrzWDxcbx6Ph+vNd+LhevPdeLjefC8erjffj4frzQ/i4XrzRDxcb34YD9ebH8XD9ebH8XC9+Uk8XG9+Gg/Xm5/Fw/Xm5/FwvflFPFxvfhkP15tfxcP15tfxcL35TTxcb34bD9eb38XD9eb38XC9+UM8XG/+GA/Xmz/Fw/Xmz/FwvflLPFxv/hoP15u/xcN16e/xdEhv/jnsP8L15l/xcL35dzxcb/4TD9eb/8bD9eZ/8XC9eTIerjc+HH4yXG8ms7GH6810NvZwvZnNxh6uN3PMxh6uN3POxh6uN3PNxh6uN0+djT1cb+aejT1cb+aZjT1cb+adjT1cb542G3u43sw3G3u43sw/G3u43jx9NvZwvXnGbOzherPAbOzherPgbOzherPQbOzherPwbOzherPIbOzherPobOzherPYbOzherP4bOzhevPM2djD9WaJ2djD9WbJ2djD9eZZs7GH681Ss7GH69KzZ2NPh/TmuQN/zmzM9eZ5s7GH683zZ2MP15ulZ2MP15sXzMYerjfLzMYerjfLzsYerjfLzcYerjcvjIfrzYvi4Xrz4ni43iwfD9ebFeLherNiPFxvVoqH683K8XC9WSUerjerxsP1ZrV4uN6sHg/Xm5fEw/VmjXi43qwZD9ebteLherN2PFxv1omH68268XC9WS8erjfrx8P15qXxcL15WTxcbzaIh+vNy+PherNhPFxvNoqH683G8XBdekU8HdKbVw37ynC92SQerjebxsP1ZrN4uN68Oh6uN5vHw/Vmi3i43mwZD9eb18TD9WareLjebB0P15tt4uF6s208XG9eGw/Xm9fFw/Xm9fFwvXlDPFxv3hgP15vt4uF6s308XG92iIfrzZvi4XqzYzxcb94cD9ebneLherNzPFxvdomH682u8XC9eUs8XG92i4frze7xcL3ZIx6uN3vGw/Vmr3i43uwdD9ebfeLhurRvPB3Sm/2H3S9cbw6Ih+vNW+PhenNgPFxvDoqH683B8XC9OSQerjeHxsP15rB4uN4cHg/XmyPi4XpzZDxcb46Kh+vN0fFwvTkmHq43x8bD9eZt8XC9OS4erjfHx8P15oR4uN68PR6uNyfGw/XmHfFwvXlnPFxv3hUP15t3x8P15qR4uN6cHA/Xm/fEw/XmvfFwvXlfPFxv3h8P15tT4uF6c2o8XG8+EA/Xm9Pi4br0wXg6pDenD/uhcL05Ix6uNx+Oh+vNR+LhenNmPFxvzoqH683Z8XC9OScerjcfjYfrzcfi4Xpzbjxcb86Lh+vNx+PhenN+PFxvLoiH682F8XC9uSgerjcXx8P15hPxcL25JB6uN5+Mh+vNp+LhenNpPFxvPh0P15vL4uF6c3k8XG+uiIfrzZXxcL35TDxcbz4bD9ebq+LhenN1PFxvPhcP15vPx8P15gvxcL35Yjxcl66Jp0N68+VhvxSuN1+Jh+vNtfFwvflqPFxvrouH68318XC9uSEerjc3xsP15qZ4uN7cHA/Xm1vi4Xpzazxcb74WD9ebr8fD9eYb8XC9uS0erjffjIfrzbfi4Xpzezxcb+6Ih+vNnfFwvbkrHq43d8fD9eaeeLje3BsP15v74uF6c388XG8eiIfrzbfj4XrzYDxcbx6Kh+vNw/FwvXkkHq43j8bD9eaxeLjePB4P16XvxPs/pn8V5A==AQAAAACAAADoHAAA9wQAAA==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AQAAAACAAACdAwAAEQAAAA==eJzj5BwFo2AUDEoAANeOIIY=
34
+ </AppendedData>
35
+ </VTKFile>
CylinderKnMa/Kn0p32/simulation0670_Kn0p32Ma3p9/grid/final-grid.dat ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p32/simulation0670_Kn0p32Ma3p9/log.sparta ADDED
@@ -0,0 +1,318 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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 0.32
17
+ variable Ma equal 3.9000000000000004
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 0.32*${L}
23
+ variable mfp equal 0.32*1
24
+ variable cpmfp equal 4
25
+ variable nden equal 1.0/sqrt(2.0)/${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}*${Kn})
29
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.32/${cpmfp}*${Kn})
30
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.32/4*${Kn})
31
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.32/4*0.32)
32
+ variable sos equal sqrt(${gamma}*${R}*${To})
33
+ variable sos equal sqrt(1.666666667*${R}*${To})
34
+ variable sos equal sqrt(1.666666667*208.242684766214*${To})
35
+ variable sos equal sqrt(1.666666667*208.242684766214*273)
36
+ variable vo equal ${Ma}*${sos}
37
+ variable vo equal 3.9*${sos}
38
+ variable vo equal 3.9*307.815564238681
39
+ variable vx equal ${vo}*cos(${theta}*2*PI/360)
40
+ variable vx equal 1200.48070053086*cos(${theta}*2*PI/360)
41
+ variable vx equal 1200.48070053086*cos(0*2*PI/360)
42
+ variable vy equal ${vo}*sin(${theta}*2*PI/360)
43
+ variable vy equal 1200.48070053086*sin(${theta}*2*PI/360)
44
+ variable vy equal 1200.48070053086*sin(0*2*PI/360)
45
+ variable ppc equal 30
46
+ variable xncells equal (${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)/0.32*${cpmfp}
50
+ variable xncells equal (6--5)/0.32*4
51
+ variable yncells equal (${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)/0.32*${cpmfp}
55
+ variable yncells equal (5--5)/0.32*4
56
+ variable Fnum equal ${nden}*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
57
+ variable Fnum equal 5.05618614457681e+19*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
58
+ variable Fnum equal 5.05618614457681e+19*(6-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
59
+ variable Fnum equal 5.05618614457681e+19*(6--5)*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
60
+ variable Fnum equal 5.05618614457681e+19*(6--5)*(5-${ymin})/${ppc}/${xncells}/${yncells}
61
+ variable Fnum equal 5.05618614457681e+19*(6--5)*(5--5)/${ppc}/${xncells}/${yncells}
62
+ variable Fnum equal 5.05618614457681e+19*(6--5)*(5--5)/30/${xncells}/${yncells}
63
+ variable Fnum equal 5.05618614457681e+19*(6--5)*(5--5)/30/137.5/${yncells}
64
+ variable Fnum equal 5.05618614457681e+19*(6--5)*(5--5)/30/137.5/125
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}/${xncells}/10/4
68
+ variable tstep equal (--5+6)/1200.48070053086/${xncells}/10/4
69
+ variable tstep equal (--5+6)/1200.48070053086/137.5/10/4
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 5.05618614457681e+19
81
+ global fnum ${Fnum}
82
+ global fnum 1.07865304417639e+16
83
+ timestep ${tstep}
84
+ timestep 1.66599929437898e-06
85
+ global gridcut 1.0 particle/reorder 100 comm/sort yes
86
+ region 1 cylinder z 0.0 0.0 3.50 -0.5 0.5
87
+ region 2 cylinder z 0.0 0.0 2.00 -0.5 0.5
88
+ region 3 cylinder z 0.0 0.0 0.80 -0.5 0.5
89
+ boundary o o p
90
+ create_box ${xmin} ${xmax} ${ymin} ${ymax} -0.5 0.5
91
+ create_box -5 ${xmax} ${ymin} ${ymax} -0.5 0.5
92
+ create_box -5 6 ${ymin} ${ymax} -0.5 0.5
93
+ create_box -5 6 -5 ${ymax} -0.5 0.5
94
+ create_box -5 6 -5 5 -0.5 0.5
95
+ Created orthogonal box = (-5 -5 -0.5) to (6 5 0.5)
96
+ create_grid ${xncells} ${yncells} 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
97
+ create_grid 137.5 ${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 137.5 125 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 75199 child grid cells
100
+ CPU time = 0.10604 secs
101
+ create/ghost percent = 1.13135 98.8687
102
+ balance_grid rcb cell
103
+ Balance grid migrated 75062 cells
104
+ CPU time = 0.0999625 secs
105
+ reassign/sort/migrate/ghost percent = 56.8303 0.0712067 8.14394 34.9546
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 1200.48070053086 ${vy} 0.0 temp ${To}
110
+ mixture air Ar vstream 1200.48070053086 0 0.0 temp ${To}
111
+ mixture air Ar vstream 1200.48070053086 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
+ 400 0 = cells overlapping surfs, overlap cells with unmarked corner pts
121
+ 67183 7616 400 = cells outside/inside/overlapping surfs
122
+ 398 2 = surf cells with 1,2,etc splits
123
+ 109.215 109.215 = cell-wise and global flow volume
124
+ CPU time = 0.180633 secs
125
+ read/check/sort/surf2grid/ghost/inout/particle percent = 53.6666 13.3367 1.55707 13.4917 17.9479 3.75547 0.084868
126
+ surf2grid time = 0.0243706 secs
127
+ map/comm1/comm2/comm3/comm4/split percent = 13.2936 23.7712 5.45439 5.14245 11.356 6.36397
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 1851 cells
133
+ CPU time = 0.0421312 secs
134
+ reassign/sort/migrate/ghost percent = 6.51037 0.0637294 20.9925 72.4334
135
+ create_particles air n 0
136
+ Created 511944 particles
137
+ CPU time = 0.0156056 secs
138
+ stats 10000
139
+ stats_style step cpu np nattempt ncoll nscoll npave nscollave
140
+ run 200000
141
+ Memory usage per proc in Mbytes:
142
+ particles (ave,min,max) = 1.7666 0 3.375
143
+ grid (ave,min,max) = 3.74182 1.51379 6.57629
144
+ surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
145
+ total (ave,min,max) = 5.52902 3.22189 8.28439
146
+ Step CPU Np Natt Ncoll Nscoll Npave Nscollave
147
+ 0 0 511944 0 0 0 0 0
148
+ 10000 14.995618 565012 11414 9762 13 536342.66 13.9309
149
+ 20000 32.138013 567795 11421 9850 23 552119.34 14.0708
150
+ 30000 49.378233 569243 11495 9925 10 557831.26 14.101
151
+ 40000 66.563218 569711 11418 9783 10 560731.91 14.1497
152
+ 50000 84.166117 569195 11286 9640 17 562406.58 14.15726
153
+ 60000 101.83539 569058 11416 9813 7 563532.27 14.164867
154
+ 70000 118.87529 569225 11442 9868 14 564411.88 14.1776
155
+ 80000 135.68629 568857 11538 9854 10 565032.94 14.188937
156
+ 90000 153.28799 569342 11382 9776 13 565554.95 14.2029
157
+ 100000 170.39826 568409 11362 9799 14 565973.59 14.20481
158
+ 110000 187.55893 569277 11452 9839 9 566277.11 14.208718
159
+ 120000 205.37103 569019 11424 9871 11 566506.71 14.216858
160
+ 130000 223.10743 569487 11493 9806 15 566768.95 14.222115
161
+ 140000 239.86635 568495 11454 9823 14 566945.22 14.223621
162
+ 150000 257.20401 568907 11476 9862 14 567077.26 14.22474
163
+ 160000 274.71406 568930 11309 9700 15 567193.75 14.222356
164
+ 170000 292.16535 569071 11317 9769 12 567325.73 14.227847
165
+ 180000 309.234 568702 11437 9834 14 567430.6 14.227933
166
+ 190000 327.26184 569420 11489 9873 13 567516.08 14.226689
167
+ 200000 344.73947 569221 11536 9917 14 567592.27 14.230195
168
+ Loop time of 344.74 on 128 procs for 200000 steps with 569221 particles
169
+
170
+ MPI task timing breakdown:
171
+ Section | min time | avg time | max time |%varavg| %total
172
+ ---------------------------------------------------------------
173
+ Move | 0.024387 | 13.92 | 87.779 | 486.9 | 4.04
174
+ Coll | 0.38356 | 14.28 | 121.58 | 541.8 | 4.14
175
+ Sort | 0.13055 | 2.4552 | 17.932 | 212.7 | 0.71
176
+ Comm | 74.761 | 116.74 | 131.21 | 108.8 | 33.86
177
+ Modify | 0.020078 | 0.13064 | 2.4118 | 98.5 | 0.04
178
+ Output | 0.0065485 | 0.015036 | 0.01714 | 1.3 | 0.00
179
+ Other | | 197.2 | | | 57.20
180
+
181
+ Particle moves = 113518454844 (114B)
182
+ Cells touched = 118746331541 (119B)
183
+ Particle comms = 222815629 (223M)
184
+ Boundary collides = 0 (0K)
185
+ Boundary exits = 21960116 (22M)
186
+ SurfColl checks = 152755643 (153M)
187
+ SurfColl occurs = 2846039 (2.85M)
188
+ Surf reactions = 0 (0K)
189
+ Collide attempts = 2588526254 (2.59B)
190
+ Collide occurs = 2009695462 (2.01B)
191
+ Reactions = 0 (0K)
192
+ Particles stuck = 0
193
+ Axisymm bad moves = 0
194
+
195
+ Particle-moves/CPUsec/proc: 2.57255e+06
196
+ Particle-moves/step: 567592
197
+ Cell-touches/particle/step: 1.04605
198
+ Particle comm iterations/step: 1
199
+ Particle fraction communicated: 0.00196281
200
+ Particle fraction colliding with boundary: 0
201
+ Particle fraction exiting boundary: 0.00019345
202
+ Surface-checks/particle/step: 0.00134565
203
+ Surface-collisions/particle/step: 2.50712e-05
204
+ Surf-reactions/particle/step: 0
205
+ Collision-attempts/particle/step: 0.0228027
206
+ Collisions/particle/step: 0.0177037
207
+ Reactions/particle/step: 0
208
+
209
+ Particles: 4447.04 ave 29147 max 0 min
210
+ Histogram: 84 14 5 7 8 4 2 0 0 4
211
+ Cells: 587.523 ave 590 max 587 min
212
+ Histogram: 64 0 0 62 0 0 1 0 0 1
213
+ GhostCell: 15207.6 ave 27995 max 833 min
214
+ Histogram: 21 9 12 10 17 3 6 4 16 30
215
+ EmptyCell: 127.156 ave 296 max 0 min
216
+ Histogram: 13 5 21 26 16 17 12 6 9 3
217
+ Surfs: 200 ave 200 max 200 min
218
+ Histogram: 128 0 0 0 0 0 0 0 0 0
219
+ GhostSurf: 0 ave 0 max 0 min
220
+ Histogram: 128 0 0 0 0 0 0 0 0 0
221
+ compute 1 grid all air n nrho massrho u v w
222
+ compute 2 grid all air trot
223
+ compute 3 tvib/grid all air
224
+ compute 4 thermal/grid all air press temp
225
+ fix 1 ave/grid all 1 ${nave} ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
226
+ fix 1 ave/grid all 1 10000 ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
227
+ fix 1 ave/grid all 1 10000 10000 c_1[*] c_4[*] c_2[*] c_3[*] ave running
228
+ dump 1 grid all ${noutput} output/grid.*.dat id xc yc f_1[*]
229
+ dump 1 grid all 300000 output/grid.*.dat id xc yc f_1[*]
230
+ dump_modify 1 format float %12.5g
231
+ compute 5 surf all air n press px py shx shy fx fy etot erot evib
232
+ fix 2 ave/surf all 1 ${nave} ${nave} c_5[*] ave running
233
+ fix 2 ave/surf all 1 10000 ${nave} c_5[*] ave running
234
+ fix 2 ave/surf all 1 10000 10000 c_5[*] ave running
235
+ dump 2 surf all ${noutput} output/surf.*.dat id v1x v1y v2x v2y f_2[*]
236
+ dump 2 surf all 300000 output/surf.*.dat id v1x v1y v2x v2y f_2[*]
237
+ dump_modify 2 format float %12.5g
238
+ compute 6 lambda/grid f_1[2] f_1[8] Ar kx
239
+ dump 3 grid all ${noutput} output/lambdakn.*.dat id xc yc c_6[*]
240
+ dump 3 grid all 300000 output/lambdakn.*.dat id xc yc c_6[*]
241
+ dump_modify 3 format float %12.5g
242
+ run 100000
243
+ Memory usage per proc in Mbytes:
244
+ particles (ave,min,max) = 1.7666 0 3.375
245
+ grid (ave,min,max) = 3.74182 1.51379 6.57629
246
+ surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
247
+ total (ave,min,max) = 5.72651 3.41911 8.48212
248
+ Step CPU Np Natt Ncoll Nscoll Npave Nscollave
249
+ 200000 0 569221 11536 9917 0 0 0
250
+ 210000 29.137864 569429 11591 10004 15 569297.95 14.26
251
+ 220000 59.659684 569948 11539 9884 19 569253.75 14.28555
252
+ 230000 88.69805 569166 11323 9697 12 569453.55 14.268133
253
+ 240000 119.05769 569402 11618 9986 17 569253.57 14.274975
254
+ 250000 148.20227 569258 11555 9911 18 569396.65 14.27432
255
+ 260000 178.352 569587 11495 9901 14 569477.49 14.278717
256
+ 270000 209.03409 569711 11474 9891 11 569470.74 14.2795
257
+ 280000 239.0167 570173 11398 9815 9 569525.94 14.272787
258
+ 290000 268.54268 569790 11501 9891 15 569553.87 14.278333
259
+ 300000 298.30831 568818 11480 9846 10 569519.48 14.27544
260
+ Loop time of 298.309 on 128 procs for 100000 steps with 568818 particles
261
+
262
+ MPI task timing breakdown:
263
+ Section | min time | avg time | max time |%varavg| %total
264
+ ---------------------------------------------------------------
265
+ Move | 0.01287 | 7.0271 | 43.844 | 344.8 | 2.36
266
+ Coll | 0.19131 | 7.2341 | 63.547 | 389.6 | 2.43
267
+ Sort | 0.073705 | 1.2538 | 8.4489 | 150.0 | 0.42
268
+ Comm | 42.81 | 63.981 | 71.746 | 76.2 | 21.45
269
+ Modify | 2.6539 | 19.453 | 114.14 | 532.6 | 6.52
270
+ Output | 0.09681 | 0.098541 | 0.1024 | 0.4 | 0.03
271
+ Other | | 199.3 | | | 66.80
272
+
273
+ Particle moves = 56951947734 (57B)
274
+ Cells touched = 59572863672 (59.6B)
275
+ Particle comms = 111705703 (112M)
276
+ Boundary collides = 0 (0K)
277
+ Boundary exits = 11013429 (11M)
278
+ SurfColl checks = 76659926 (76.7M)
279
+ SurfColl occurs = 1427544 (1.43M)
280
+ Surf reactions = 0 (0K)
281
+ Collide attempts = 1305989819 (1.31B)
282
+ Collide occurs = 1013816173 (1.01B)
283
+ Reactions = 0 (0K)
284
+ Particles stuck = 0
285
+ Axisymm bad moves = 0
286
+
287
+ Particle-moves/CPUsec/proc: 1.49153e+06
288
+ Particle-moves/step: 569519
289
+ Cell-touches/particle/step: 1.04602
290
+ Particle comm iterations/step: 1
291
+ Particle fraction communicated: 0.0019614
292
+ Particle fraction colliding with boundary: 0
293
+ Particle fraction exiting boundary: 0.000193381
294
+ Surface-checks/particle/step: 0.00134605
295
+ Surface-collisions/particle/step: 2.50658e-05
296
+ Surf-reactions/particle/step: 0
297
+ Collision-attempts/particle/step: 0.0229314
298
+ Collisions/particle/step: 0.0178013
299
+ Reactions/particle/step: 0
300
+
301
+ Particles: 4443.89 ave 29177 max 0 min
302
+ Histogram: 84 14 5 7 8 4 2 0 0 4
303
+ Cells: 587.523 ave 590 max 587 min
304
+ Histogram: 64 0 0 62 0 0 1 0 0 1
305
+ GhostCell: 15207.6 ave 27995 max 833 min
306
+ Histogram: 21 9 12 10 17 3 6 4 16 30
307
+ EmptyCell: 127.156 ave 296 max 0 min
308
+ Histogram: 13 5 21 26 16 17 12 6 9 3
309
+ Surfs: 200 ave 200 max 200 min
310
+ Histogram: 128 0 0 0 0 0 0 0 0 0
311
+ GhostSurf: 0 ave 0 max 0 min
312
+ Histogram: 128 0 0 0 0 0 0 0 0 0
313
+ write_grid grid/final-grid.dat
314
+ grid cells = 75199
315
+ CPU time = 0.01087 secs
316
+ write_surf surf/geom.surf
317
+ surf elements = 200
318
+ CPU time = 0.00170338 secs
CylinderKnMa/Kn0p32/simulation0670_Kn0p32Ma3p9/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/Kn0p32/simulation0670_Kn0p32Ma3p9/output/lambdakn.300000.dat ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p32/simulation0670_Kn0p32Ma3p9/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 0.00343 0.061599 -0.061592 0.00096756 -1.8594e-06 -0.00011836 -0.00096747 1.3339e-05 6.4787 0 0
11
+ 129 -0.31871 0.38526 -0.30645 0.39508 0.11684 2.2712 1.42 -1.7725 0.34152 0.27361 0.027669 -0.023544 382.03 0 0
12
+ 2 0.49975 -0.015705 0.49901 -0.031395 0.00314 0.05739 -0.057326 0.0027034 -8.1625e-05 -0.0017309 -0.00090172 1.5276e-05 6.4772 0 0
13
+ 130 -0.30645 0.39508 -0.29389 0.40451 0.11011 2.1575 1.2954 -1.7254 0.33654 0.25268 0.025634 -0.023132 375.97 0 0
14
+ 3 0.49901 -0.031395 0.49778 -0.047054 0.0033 0.060945 -0.060757 0.0047817 -0.00025664 -0.0032609 -0.00095837 2.3887e-05 7.5881 0 0
15
+ 131 -0.29389 0.40451 -0.28104 0.41354 0.10648 2.0951 1.2047 -1.7141 0.35766 0.25137 0.024541 -0.022976 363.83 0 0
16
+ 4 0.49778 -0.047054 0.49606 -0.062667 0.00315 0.057923 -0.057573 0.0063561 -1.816e-05 -0.00016449 -0.0009046 9.7254e-05 7.1256 0 0
17
+ 132 -0.28104 0.41354 -0.26791 0.42216 0.1003 1.9611 1.0767 -1.6391 0.3495 0.22958 0.022402 -0.02214 336.13 0 0
18
+ 5 0.49606 -0.062667 0.49384 -0.078217 0.00288 0.05036 -0.049858 0.0070958 -2.2017e-07 -1.547e-06 -0.00078313 0.00011143 6.4374 0 0
19
+ 133 -0.26791 0.42216 -0.25452 0.43037 0.0965 1.859 0.97132 -1.585 0.3563 0.21834 0.020853 -0.021467 312.33 0 0
20
+ 6 0.49384 -0.078217 0.49114 -0.093691 0.00296 0.051754 -0.050983 0.008898 1.0775e-05 6.1736e-05 -0.00080064 0.00014073 6.4922 0 0
21
+ 134 -0.25452 0.43037 -0.24088 0.43815 0.09066 1.7754 0.87964 -1.5422 0.34848 0.19877 0.019291 -0.021101 303.91 0 0
22
+ 7 0.49114 -0.093691 0.48796 -0.10907 0.00285 0.050522 -0.049473 0.010245 -0.00038191 -0.0018442 -0.00078308 0.00013196 5.3261 0 0
23
+ 135 -0.24088 0.43815 -0.227 0.4455 0.0854 1.6551 0.77446 -1.4627 0.35634 0.18867 0.017762 -0.020012 287.77 0 0
24
+ 8 0.48796 -0.10907 0.48429 -0.12434 0.00284 0.053286 -0.051814 0.012439 0.0003044 0.0012679 -0.00080907 0.00021531 7.2001 0 0
25
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146
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147
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148
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149
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150
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151
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152
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153
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154
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155
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156
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157
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158
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159
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160
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161
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162
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163
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164
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165
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166
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167
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168
+ 87 -0.45241 -0.21289 -0.45888 -0.19857 0.1959 3.8376 3.4976 1.5792 0.13043 -0.28887 0.056986 0.020268 615.69 0 0
169
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170
+ 89 -0.46489 -0.18406 -0.47044 -0.16937 0.20475 4.0132 3.7541 1.4186 0.10255 -0.2714 0.060578 0.018019 643.16 0 0
171
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172
+ 91 -0.47553 -0.15451 -0.48015 -0.1395 0.2122 4.1386 3.9556 1.2169 0.075652 -0.24591 0.06332 0.015252 672.41 0 0
173
+ 92 -0.48015 -0.1395 -0.48429 -0.12434 0.21216 4.1619 4.0144 1.0982 0.056311 -0.20584 0.063941 0.014017 663.22 0 0
174
+ 93 -0.48429 -0.12434 -0.48796 -0.10907 0.21742 4.2683 4.1504 0.99642 0.041994 -0.17492 0.065851 0.012904 683.97 0 0
175
+ 94 -0.48796 -0.10907 -0.49114 -0.093691 0.21809 4.2908 4.2016 0.87012 0.033729 -0.16287 0.066526 0.011109 687.88 0 0
176
+ 95 -0.49114 -0.093691 -0.49384 -0.078217 0.21956 4.3317 4.2672 0.74475 0.023862 -0.13673 0.067401 0.0095504 701.36 0 0
177
+ 96 -0.49384 -0.078217 -0.49606 -0.062667 0.22557 4.3914 4.3476 0.61876 0.01843 -0.1295 0.068579 0.007685 697.32 0 0
178
+ 97 -0.49606 -0.062667 -0.49778 -0.047054 0.22335 4.3909 4.3644 0.48183 0.011727 -0.10622 0.068737 0.0058999 701.78 0 0
179
+ 98 -0.49778 -0.047054 -0.49901 -0.031395 0.22679 4.4597 4.4459 0.3499 0.0059761 -0.075933 0.069927 0.0043033 710.17 0 0
180
+ 99 -0.49901 -0.031395 -0.49975 -0.015705 0.22951 4.5183 4.5133 0.21284 0.0026679 -0.056573 0.070933 0.0024545 732.63 0 0
181
+ 100 -0.49975 -0.015705 -0.5 0 0.22703 4.4464 4.4458 0.069841 0.0002356 -0.014998 0.069836 0.00086144 698.92 0 0
182
+ 101 -0.5 0 -0.49975 0.015705 0.23117 4.5222 4.5216 -0.071031 0.00020847 0.01327 0.071026 -0.00090727 702.65 0 0
183
+ 102 -0.49975 0.015705 -0.49901 0.031395 0.2266 4.4379 4.433 -0.20905 0.0032316 0.068525 0.069681 -0.0022073 717.29 0 0
184
+ 103 -0.49901 0.031395 -0.49778 0.047054 0.22655 4.4367 4.423 -0.3481 0.0059226 0.075253 0.069567 -0.0042857 708.66 0 0
185
+ 104 -0.49778 0.047054 -0.49606 0.062667 0.2249 4.4192 4.3926 -0.48494 0.0085364 0.077322 0.069129 -0.0064026 696.68 0 0
186
+ 105 -0.49606 0.062667 -0.49384 0.078217 0.22397 4.3942 4.3503 -0.61915 0.017887 0.12568 0.068613 -0.007751 699.31 0 0
187
+ 106 -0.49384 0.078217 -0.49114 0.093691 0.22159 4.3598 4.2948 -0.74957 0.025635 0.14688 0.067863 -0.0094666 702.08 0 0
188
+ 107 -0.49114 0.093691 -0.48796 0.10907 0.21846 4.2966 4.2073 -0.87129 0.036862 0.178 0.066664 -0.01089 687.66 0 0
189
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190
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191
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192
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193
+ 112 -0.47044 0.16937 -0.46489 0.18406 0.2049 4.0254 3.7655 -1.4229 0.094595 0.25034 0.060632 -0.018417 638.87 0 0
194
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195
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196
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197
+ 116 -0.4455 0.227 -0.43815 0.24088 0.18502 3.6246 3.2033 -1.6961 0.1756 0.33166 0.053074 -0.021431 587.19 0 0
198
+ 117 -0.43815 0.24088 -0.43037 0.25452 0.1812 3.557 3.0897 -1.7623 0.18308 0.32097 0.051406 -0.02264 582.74 0 0
199
+ 118 -0.43037 0.25452 -0.42216 0.26791 0.1754 3.4353 2.9291 -1.7949 0.20091 0.32786 0.049164 -0.023044 557.42 0 0
200
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201
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202
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203
+ 122 -0.39508 0.30645 -0.38526 0.31871 0.15245 3.0024 2.3431 -1.8772 0.24699 0.3083 0.040684 -0.024643 511.23 0 0
204
+ 123 -0.38526 0.31871 -0.37506 0.33066 0.1502 2.9497 2.2429 -1.9157 0.27302 0.31967 0.039519 -0.025069 497.89 0 0
205
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206
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207
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208
+ 127 -0.34227 0.36448 -0.33066 0.37506 0.1274 2.4791 1.6685 -1.8336 0.3041 0.27671 0.030984 -0.024455 420.63 0 0
209
+ 128 -0.33066 0.37506 -0.31871 0.38526 0.12331 2.3904 1.5524 -1.8177 0.33264 0.2841 0.02961 -0.024088 399.63 0 0
CylinderKnMa/Kn0p32/simulation0670_Kn0p32Ma3p9/runmpirun128.sh ADDED
@@ -0,0 +1,18 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #!/bin/bash
2
+ #SBATCH -J Cylinder——Kn
3
+ #SBATCH -p wzhcnormal
4
+ #SBATCH -N 2
5
+ #SBATCH --ntasks-per-node=64
6
+
7
+
8
+ module purge
9
+ module load compiler/devtoolset/7.3.1
10
+ module load mpi/hpcx/2.11.0/gcc-7.3.1
11
+ export UCX_WARN_UNUSED_ENV_VARS=n
12
+ /public/software/mpi/hpcx/v2.11.0/gcc-7.3.1/bin/mpirun -n 128 ../../../sep2024-sparta/src/spa_mpi <config.txt
13
+
14
+ /work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/grid2paraview.py mir.txt Grid -r ./output/grid.*.dat
15
+
16
+ /work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/grid2paraview.py mir.txt Lambda -r ./output/lambdakn.*.dat
17
+
18
+ /work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/surf2paraview.py ./surf/geom.surf Surf -r ./output/surf.*.dat
CylinderKnMa/Kn0p32/simulation0670_Kn0p32Ma3p9/runmpirun64.sh ADDED
@@ -0,0 +1,18 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #!/bin/bash
2
+ #SBATCH -J Cylinder——Kn
3
+ #SBATCH -p wzhcnormal
4
+ #SBATCH -N 1
5
+ #SBATCH --ntasks-per-node=64
6
+
7
+
8
+ module purge
9
+ module load compiler/devtoolset/7.3.1
10
+ module load mpi/hpcx/2.11.0/gcc-7.3.1
11
+ export UCX_WARN_UNUSED_ENV_VARS=n
12
+ /public/software/mpi/hpcx/v2.11.0/gcc-7.3.1/bin/mpirun -n 64 ../../../sep2024-sparta/src/spa_mpi <config.txt
13
+
14
+ /work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/grid2paraview.py mir.txt Grid -r ./output/grid.*.dat
15
+
16
+ /work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/grid2paraview.py mir.txt Lambda -r ./output/lambdakn.*.dat
17
+
18
+ /work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/surf2paraview.py ./surf/geom.surf Surf -r ./output/surf.*.dat
CylinderKnMa/Kn0p32/simulation0670_Kn0p32Ma3p9/slurm-28429562.out ADDED
@@ -0,0 +1,204 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ SPARTA (4 Sep 2024)
2
+ Running on 128 MPI task(s)
3
+ Running on 128 MPI task(s)
4
+ Created orthogonal box = (-5 -5 -0.5) to (6 5 0.5)
5
+ Created 75199 child grid cells
6
+ CPU time = 0.10604 secs
7
+ create/ghost percent = 1.13135 98.8687
8
+ Balance grid migrated 75062 cells
9
+ CPU time = 0.0999625 secs
10
+ reassign/sort/migrate/ghost percent = 56.8303 0.0712067 8.14394 34.9546
11
+ Reading surface file ...
12
+ 200 lines
13
+ -0.5 0.5 xlo xhi
14
+ -0.5 0.5 ylo yhi
15
+ 0 0 zlo zhi
16
+ 0.0157073 min line length
17
+ 400 0 = cells overlapping surfs, overlap cells with unmarked corner pts
18
+ 67183 7616 400 = cells outside/inside/overlapping surfs
19
+ 398 2 = surf cells with 1,2,etc splits
20
+ 109.214731023047 109.214731023047 = cell-wise and global flow volume
21
+ CPU time = 0.180633 secs
22
+ read/check/sort/surf2grid/ghost/inout/particle percent = 53.6666 13.3367 1.55707 13.4917 17.9479 3.75547 0.084868
23
+ surf2grid time = 0.0243706 secs
24
+ map/comm1/comm2/comm3/comm4/split percent = 13.2936 23.7712 5.45439 5.14245 11.356 6.36397
25
+ Balance grid migrated 1851 cells
26
+ CPU time = 0.0421312 secs
27
+ reassign/sort/migrate/ghost percent = 6.51037 0.0637294 20.9925 72.4334
28
+ Creating particles ...
29
+ Created 511944 particles
30
+ CPU time = 0.0156056 secs
31
+ Memory usage per proc in Mbytes:
32
+ particles (ave,min,max) = 1.7666 0 3.375
33
+ grid (ave,min,max) = 3.74182 1.51379 6.57629
34
+ surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
35
+ total (ave,min,max) = 5.52902 3.22189 8.28439
36
+ Step CPU Np Natt Ncoll Nscoll Npave Nscollave
37
+ 0 0 511944 0 0 0 0 0
38
+ 10000 14.995618 565012 11414 9762 13 536342.66 13.9309
39
+ 20000 32.138013 567795 11421 9850 23 552119.34 14.0708
40
+ 30000 49.378233 569243 11495 9925 10 557831.26 14.101
41
+ 40000 66.563218 569711 11418 9783 10 560731.91 14.1497
42
+ 50000 84.166117 569195 11286 9640 17 562406.58 14.15726
43
+ 60000 101.83539 569058 11416 9813 7 563532.27 14.164867
44
+ 70000 118.87529 569225 11442 9868 14 564411.88 14.1776
45
+ 80000 135.68629 568857 11538 9854 10 565032.94 14.188937
46
+ 90000 153.28799 569342 11382 9776 13 565554.95 14.2029
47
+ 100000 170.39826 568409 11362 9799 14 565973.59 14.20481
48
+ 110000 187.55893 569277 11452 9839 9 566277.11 14.208718
49
+ 120000 205.37103 569019 11424 9871 11 566506.71 14.216858
50
+ 130000 223.10743 569487 11493 9806 15 566768.95 14.222115
51
+ 140000 239.86635 568495 11454 9823 14 566945.22 14.223621
52
+ 150000 257.20401 568907 11476 9862 14 567077.26 14.22474
53
+ 160000 274.71406 568930 11309 9700 15 567193.75 14.222356
54
+ 170000 292.16535 569071 11317 9769 12 567325.73 14.227847
55
+ 180000 309.234 568702 11437 9834 14 567430.6 14.227933
56
+ 190000 327.26184 569420 11489 9873 13 567516.08 14.226689
57
+ 200000 344.73947 569221 11536 9917 14 567592.27 14.230195
58
+ Loop time of 344.74 on 128 procs for 200000 steps with 569221 particles
59
+
60
+ MPI task timing breakdown:
61
+ Section | min time | avg time | max time |%varavg| %total
62
+ ---------------------------------------------------------------
63
+ Move | 0.024387 | 13.92 | 87.779 | 486.9 | 4.04
64
+ Coll | 0.38356 | 14.28 | 121.58 | 541.8 | 4.14
65
+ Sort | 0.13055 | 2.4552 | 17.932 | 212.7 | 0.71
66
+ Comm | 74.761 | 116.74 | 131.21 | 108.8 | 33.86
67
+ Modify | 0.020078 | 0.13064 | 2.4118 | 98.5 | 0.04
68
+ Output | 0.0065485 | 0.015036 | 0.01714 | 1.3 | 0.00
69
+ Other | | 197.2 | | | 57.20
70
+
71
+ Particle moves = 113518454844 (114B)
72
+ Cells touched = 118746331541 (119B)
73
+ Particle comms = 222815629 (223M)
74
+ Boundary collides = 0 (0K)
75
+ Boundary exits = 21960116 (22M)
76
+ SurfColl checks = 152755643 (153M)
77
+ SurfColl occurs = 2846039 (2.85M)
78
+ Surf reactions = 0 (0K)
79
+ Collide attempts = 2588526254 (2.59B)
80
+ Collide occurs = 2009695462 (2.01B)
81
+ Gas reactions = 0 (0K)
82
+ Particles stuck = 0
83
+ Axisymm bad moves = 0
84
+
85
+ Particle-moves/CPUsec/proc: 2.57255e+06
86
+ Particle-moves/step: 567592
87
+ Cell-touches/particle/step: 1.04605
88
+ Particle comm iterations/step: 1
89
+ Particle fraction communicated: 0.00196281
90
+ Particle fraction colliding with boundary: 0
91
+ Particle fraction exiting boundary: 0.00019345
92
+ Surface-checks/particle/step: 0.00134565
93
+ Surface-collisions/particle/step: 2.50712e-05
94
+ Surface-reactions/particle/step: 0
95
+ Collision-attempts/particle/step: 0.0228027
96
+ Collisions/particle/step: 0.0177037
97
+ Gas-reactions/particle/step: 0
98
+
99
+ Particles: 4447.04 ave 29147 max 0 min
100
+ Histogram: 84 14 5 7 8 4 2 0 0 4
101
+ Cells: 587.523 ave 590 max 587 min
102
+ Histogram: 64 0 0 62 0 0 1 0 0 1
103
+ GhostCell: 15207.6 ave 27995 max 833 min
104
+ Histogram: 21 9 12 10 17 3 6 4 16 30
105
+ EmptyCell: 127.156 ave 296 max 0 min
106
+ Histogram: 13 5 21 26 16 17 12 6 9 3
107
+ Surfs: 200 ave 200 max 200 min
108
+ Histogram: 128 0 0 0 0 0 0 0 0 0
109
+ GhostSurf: 0 ave 0 max 0 min
110
+ Histogram: 128 0 0 0 0 0 0 0 0 0
111
+ Memory usage per proc in Mbytes:
112
+ particles (ave,min,max) = 1.7666 0 3.375
113
+ grid (ave,min,max) = 3.74182 1.51379 6.57629
114
+ surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
115
+ total (ave,min,max) = 5.72651 3.41911 8.48212
116
+ Step CPU Np Natt Ncoll Nscoll Npave Nscollave
117
+ 200000 0 569221 11536 9917 0 0 0
118
+ 210000 29.137864 569429 11591 10004 15 569297.95 14.26
119
+ 220000 59.659684 569948 11539 9884 19 569253.75 14.28555
120
+ 230000 88.69805 569166 11323 9697 12 569453.55 14.268133
121
+ 240000 119.05769 569402 11618 9986 17 569253.57 14.274975
122
+ 250000 148.20227 569258 11555 9911 18 569396.65 14.27432
123
+ 260000 178.352 569587 11495 9901 14 569477.49 14.278717
124
+ 270000 209.03409 569711 11474 9891 11 569470.74 14.2795
125
+ 280000 239.0167 570173 11398 9815 9 569525.94 14.272787
126
+ 290000 268.54268 569790 11501 9891 15 569553.87 14.278333
127
+ 300000 298.30831 568818 11480 9846 10 569519.48 14.27544
128
+ Loop time of 298.309 on 128 procs for 100000 steps with 568818 particles
129
+
130
+ MPI task timing breakdown:
131
+ Section | min time | avg time | max time |%varavg| %total
132
+ ---------------------------------------------------------------
133
+ Move | 0.01287 | 7.0271 | 43.844 | 344.8 | 2.36
134
+ Coll | 0.19131 | 7.2341 | 63.547 | 389.6 | 2.43
135
+ Sort | 0.073705 | 1.2538 | 8.4489 | 150.0 | 0.42
136
+ Comm | 42.81 | 63.981 | 71.746 | 76.2 | 21.45
137
+ Modify | 2.6539 | 19.453 | 114.14 | 532.6 | 6.52
138
+ Output | 0.09681 | 0.098541 | 0.1024 | 0.4 | 0.03
139
+ Other | | 199.3 | | | 66.80
140
+
141
+ Particle moves = 56951947734 (57B)
142
+ Cells touched = 59572863672 (59.6B)
143
+ Particle comms = 111705703 (112M)
144
+ Boundary collides = 0 (0K)
145
+ Boundary exits = 11013429 (11M)
146
+ SurfColl checks = 76659926 (76.7M)
147
+ SurfColl occurs = 1427544 (1.43M)
148
+ Surf reactions = 0 (0K)
149
+ Collide attempts = 1305989819 (1.31B)
150
+ Collide occurs = 1013816173 (1.01B)
151
+ Gas reactions = 0 (0K)
152
+ Particles stuck = 0
153
+ Axisymm bad moves = 0
154
+
155
+ Particle-moves/CPUsec/proc: 1.49153e+06
156
+ Particle-moves/step: 569519
157
+ Cell-touches/particle/step: 1.04602
158
+ Particle comm iterations/step: 1
159
+ Particle fraction communicated: 0.0019614
160
+ Particle fraction colliding with boundary: 0
161
+ Particle fraction exiting boundary: 0.000193381
162
+ Surface-checks/particle/step: 0.00134605
163
+ Surface-collisions/particle/step: 2.50658e-05
164
+ Surface-reactions/particle/step: 0
165
+ Collision-attempts/particle/step: 0.0229314
166
+ Collisions/particle/step: 0.0178013
167
+ Gas-reactions/particle/step: 0
168
+
169
+ Particles: 4443.89 ave 29177 max 0 min
170
+ Histogram: 84 14 5 7 8 4 2 0 0 4
171
+ Cells: 587.523 ave 590 max 587 min
172
+ Histogram: 64 0 0 62 0 0 1 0 0 1
173
+ GhostCell: 15207.6 ave 27995 max 833 min
174
+ Histogram: 21 9 12 10 17 3 6 4 16 30
175
+ EmptyCell: 127.156 ave 296 max 0 min
176
+ Histogram: 13 5 21 26 16 17 12 6 9 3
177
+ Surfs: 200 ave 200 max 200 min
178
+ Histogram: 128 0 0 0 0 0 0 0 0 0
179
+ GhostSurf: 0 ave 0 max 0 min
180
+ Histogram: 128 0 0 0 0 0 0 0 0 0
181
+ Writing grid file ...
182
+ grid cells = 75199
183
+ CPU time = 0.01087 secs
184
+ Writing surface file ...
185
+ surf elements = 200
186
+ CPU time = 0.00170338 secs
187
+ Processing 4 grid chunk(s).
188
+ Completed grid chunk number: 3
189
+ Completed grid chunk number: 2
190
+ Completed grid chunk number: 1
191
+ Completed grid chunk number: 0
192
+
193
+ Done in 0:00:11 (wall clock time)
194
+
195
+ Processing 4 grid chunk(s).
196
+ Completed grid chunk number: 3
197
+ Completed grid chunk number: 2
198
+ Completed grid chunk number: 1
199
+ Completed grid chunk number: 0
200
+
201
+ Done in 0:00:10 (wall clock time)
202
+
203
+ Processing SPARTA surface information.
204
+ Processing dump result file: ['./output/surf.300000.dat']
CylinderKnMa/Kn0p32/simulation0670_Kn0p32Ma3p9/surf/Surf_300000.vtu ADDED
@@ -0,0 +1,38 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ <PointData>
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+ <DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="0.49999998503" RangeMax="0.50000001255" offset="22856" />
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+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="25088" />
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+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="25580" />
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+ </UnstructuredGrid>
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AQAAAACAAABABgAADwYAAA==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AQAAAACAAABABgAAHwYAAA==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AQAAAACAAABABgAAKQYAAA==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AQAAAACAAABABgAANgYAAA==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AQAAAACAAABABgAAcAQAAA==eJwtVHsw3FcUTpGUTKMqHrustYkqUuKViAky35aUrChiiMcmYYkoIh6jFPFav5VoVbRDW41IWq3HGGn1gQ6JSpOZqmhpULTSFFE0QTTEo2l/d87ef8787u+c7/vOd+89OVFOwQ6zQtypum9W95cQnqK5P13CxWgsDDxUnS/CpIHZD1PXhYg59turmk+E0Jp+2/qBnyFmWq9qTveKYBI4appzzwwHf134RxYmgHFr/6bxbj0EO+xq2K4nxKBO3M5EVzEUV4b2zD8R4PT0esOivhAZ12pM7H83hM2DbdcchGbwDVO5Dt0UofT9JH0lRCgxj34YrmEMlj5wW4DqFz7t/O6oKZg8k8gdeE7j5WKjMEtMuJh0RcACPgEbgrRhCwxmzrzkeM4Ov/gp9ELb7TD1886x1QMOqPR8K3E62xmX5utu+a44oHFxwE9xwQn1t3z3nZfuBYMb2e0OXbuW6vlid4yt5sZ31Eox0rcSNFGhjsFeWLaWl3UPeoGbC2wTW3qjrPuxtbzGl3C+8EdBBU+0IsPwJ8keW38KgIwJfRqAANZYdBBeieQVLQUj/T2BVkhfKG7w5WVO4Wj2vpdl8FoYxeYIHGkTc3P9x2HOiHIjiW9bDKo+5FdUNO3HniT+uyepbugUbvfya+N1+DCYlXjKO5BAddIk2s84g01s1Sfjbx6WezaF+ppJJbyjaZTfmUb1W9KJvzyd9HZnwIAR1mZQn2OZlPfZm4QTlU315dn0vzgHsWz1nKV6ozzIGVFmPrayhMp80qNbQFFRQPltBWA2BFYVqvkLSa+HkvLERWDteAvV0V8dNTnS0V5E8QRHOvI4ZDPhsxzp6OGI/yFHfTuqKG9KRd/DHJzZesyRjngV4Vuq4MEKb3LkwyiHFLaxwNH/sxxqeZjhQ+q62CLSu5+j86ksgg0zYFlJfZYoqW5dSXoOK6nPsEK6B3sLSU9CAe17q/2R5xO/Vj6d61Ie1YvzKM9e7XtjDukZzqJ7IlPHtUyq/yOD8vMySEfnG/RfI52+uTTy62kq9bORQucxkkJ9XE6mvrTOEJ5tEvHmJpJ/N+IpvzSO/G85RXrLYsm30BiK9Qri3a1Q40QRztAJ6ksmpz40j9O7VoWinw+5A6Hkj1UwnXdFEPSVXT1XTgeiSRQe43b1CMz4cNc/gO7lzGFYOWo3idZ8YMwetqaM5sK0F0LYAKjxJJ0lnnRPm6Tgp4p2kzvAYA8uu5IPAjfalzvT+9/hgovfSz5PPecENk76Wu1xXso/eIUthFo88iNbsNBiZo1vlv69k2ljBQtZttK+14Lm4wcS9XyV4KLzx1/tyzTHtwk6q5frRJAuRvce89VHR+WF57NCJPiIjWsfI+za/+6PedqGGG1ak5/eLEC6RpW26SUjlE0+Mh+YN8Qz4xo6JeaG6IqQSBcnTPDlbNrXhm7byV8DMfipuN5QLoEFG3g5YvJz1hQaHZv1Df4T4Lour2SPEKuO95stXzTHeErJO5MtQrSXblkwipPgf3LywoE=AQAAAACAAABABgAAFQAAAA==eJxjYBgFo2AUjIJRMApIBwAGQAABAQAAAACAAABABgAAFQAAAA==eJxjYBgFo2AUjIJRMApIBwAGQAABAQAAAACAAADAEgAA0gMAAA==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AQAAAACAAABABgAAXwEAAA==eJwtxVFEHAAAANBKkpzkJEmSJMlJkiRJkiRJkiQnSXKSJEmSJEmSJEmSZGYmmUmSJEmSJEkyMzOTzCRJkmT20Xs/LybqXazjHO8EB5zoJAed7BSnOs3pznCms5ztHOc6zyHnu8CFLnKxS1zqMpe7wpWucrVrXOs617vBjW5ys1vc6rDb3O4Od7rLEXe7x73uc78HPOghD3vEox7zuCc86SlPe8aznvO8F7zoJS97xate8wd/9Cd/9ro3/MVfvektb3vHu97zvg986CMf+8SnPvO5L3zpK1/7m7/7h3/6l3/7xrf+47++870f/OgnP/vFr37zP0dFvxfjWMc53gkOONFJDjrZKU51mtOd4UxnOds5znWeQ853gQtd5GKXuNRlLneFK13late41nWud4Mb3eRmt7jVYbe53R3udJcj7naPe93nfg940EMe9ohHPeZxT3jSU572jGc95/9sSVRSAQAAAACAAADIAAAADAAAAA==eJxjZh4eAADsVAJZ
37
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38
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gmQ0109LMRprZWDObaGZTzWymmc01s4Vm5mlmS81spZmtNfNozTxGM9toZlvNtDXzWM08TjOP18wTNPNEzTxJM0/WzHzNPEUzT9XM0zTzdM08QzPP1MyzNNPRzHaa2V4zz9bMczTzXM08TzPP18wCzbxAMy/UzIs082K+2XOmp5m3aGZHzeykmZ01s4tmdtXMbppZpJndNbOHZvbUzF6a2Vsz+2hmX830NfNWzbxNM/tpZn/NHKCZAzXzds0s1sw7NPNOzbxLMwdp5mDNHKKZd2tmoJn3aOa9mnmfZg7VzGGaOVwzR2hmiWaO1Mz7NfMBzXxQM0dp5mjNHKO59h9c5rrxs55/TjOf18wXNHOSZpZp5mTNnKKZUzVzmmZO18wZmjlTMyPNnKWZszVzjmbO1cx5mjlfM1/UzHLNfEkzX9bMVzTzVc1coJkLNfM1zYw183XNfEMz39TMtzTzbc1cpJmLNbNCM5do5lLNXKaZ72jmu5q5XDNXaKZq5nua+b5mrtTMDzTzQ67ynLlRMzdp5mbN3KKZWzXza838RjNTzfxWM7/TzO818wfN/FEzt2nmds2s1swdmrlTM3dp5m7N/Ekzf9bMXzQz08xfNfM3zdyjmb9r5h+a+adm/qWZNZr5t2b+o5l7NXOfZu7XzAOa+a/m2n/B/J9dFlZmHTsLK/MgOwsr82A7CyvzEDsLa/N8A89ZmQ3tLKxMy87CymxkZ2FlNrazsDKb2FlYmU3tLKzMZnYWVmZzOwsrs4WdhZWZZ2dhZba0s7AyW9lZWJmt7SyszKPtLKzMY+wsrMw2dhZWZls7CyvTtrOwMo+1s7Ayj7OzsDKPt7OwMk+ws7AyT7SzsDJPsrOwMk/2vOM5s52/joWV2d7Owso8287CyjzHzsLKPNfOwso8z87CyjzfzsLKLLCzsDIvsLOwMi+0s7AyL7KzsDIvtrOwMi+xs7AyL7WzsDIvs7OwMl07Cyuzg52FlXm5nYWVeYWdhZV5pZ2FlXmVnYWVebWdhZV5jZ2FlVloZ2FlXmtn3dHznTxnYWV2trOwMrvYWViZXe0srMxudhZWZpGdhZXZ3c7CyuxhZ2Fl9rSzsDJ72VlYmb3tLKzMPnYWVmZfOwsr07ezsDJvtbOwMm+zs7Ay+9lZWJn97SyszAF2FlbmQDsLK/N2Owsrs9jOwsq8w87CyrzTzsLKvMvOwhzmOQsrc7idhZU5ws7Cyiyxs7AyR9pZWJn321lYmQ/YWViZD9pZWJmj7CyszNF2FlbmGDsLK1PsLKzMh+wsrMyH7SyszEfsLKzMsXYWVuY4Owsrc7ydhZU5wc7Cyiy1s7AyH7WzsDIfs7OwMh+3s7Ayn7CzsDKftLOwNs9P8pyVWWZnYWVOtrOwMqfYWViZU+0srMxpdhZW5nQ7Cytzhp2FlTnTzsLKjOwsrMxZdhZW5mw7Cytzjp2FlTnXzsLKnGdnYWXOt7OwMl+0s7Ayy+0srMyX7CyszJftLKzMV+wsrMxX7SyszAV2FlbmQjsLK/M1OwsrM550/w/eABeoAQAAAACAAADwYgAAhAYAAA==eJztmWtYzFkcx7tMF91E6RGWCOuS2J7YxmXPpBJpQ5uKhOQuSS4hal1zqXZzy5Yn6YKEkFuJczYpoUKoyBjT/T7NNNVMYf8zf6/2vNnH7gvsb959nmf+8z+/c87n+30xt29FaIpeGhFjlFt+fY8RWXv/w9VgKyOSN/PHA7aC3sTs2bpFWpG9yVbPc+MLJvUmxXyB7pG6XsRimanQM7oX2dsw59ZAh16Ev/5gZKXYkNh0Zi89H29IokK6Jga4GBJ9wZjf4zt7EtIYN9nCrScJlPWsu5lmQIZp7jxmp2tASnqLbYuW65ODg3yb52frkSkWz2Oqv9MjLTYOjoFbdUmCww3J++c6xM31+/gD43SI1qITzn3Ce5DMNT1k8TXaxG/LtmQLO23i4XUFN8ZpEZ2VQ/y2yDVJ1sYjfTnummTdTs79365okCGRm9b319cgil8/u5JDws56PLTKUSfcaw823x2kThoJ19wpWI2cKjhf9OKlKpnzqv92HytVwqkJH9EUoUL4R8L2zi/+iO0urmJG/YDlIauZV7zHVT6nX1q3dFOsXKZTN3YK3j3W+UwXxeMXZs7QU+vCaUeX7ff1llMcE3QywTxDho0vOb7bZiyjWEW5wZ14W97IiYcfdVC87PxiZss68FvmuFJ2tVP88N5UZhIptpc3NRCulOKxb4YyJ9SG+xEvM9tWCcVH2zWZkSQ4tGwKczXEFCuPWV2Mq8SDmBvUSvGikY8M8zJF2ElPbXSYiYhiK7PgO10VzTia621iFNtEseB12wrk2ogdpC+Je48Gis8bZJj6kzosvjx7TUxQLcWezOlfsazB8X4P+/CrqijW2HfBX3qyEq85FZmn51ZBcbrtcFOurhD39dIOnJ0toDhbjsJkYj4OH8PhjvApp9hj8YN696IyXJvUEZE2pYTiqyW3ET/1ObYb0CCc0O8Zxf3jFjI7VoQvqysuaD7Fz8Idisvyc3BBZexaf2dMscg4MDlO4zquuJ9tyN2RTHHG8mjjnCpvbKr2q29RXCL6O+umPylcZXIN1e6SH+d636WYPY8cNHOzH0e4KZ/ikU36d8f9UYjYe/eUYm6okU6vgOfI33mWp1C1hOIk00Nn0o+UIaMXXupew8opnpEQPcfiJh+VW1qXrEoSUBzUxzXEtekdstyQaTF8QgXF+fNKiw1CK9FSXvu2jrwqitn9rkE39mx/kj6vluK1wsqQsIQ6pJ2vNjygoZ7ixDSzAk/rRjRf/0CwxY4miqWSM0P65DYjiUIXLRHFW+uG/6B9QYQiNUUm02e3Umz8xL5U1Nb6aV/FFF+6sYRRVYLuFY9mklxCMfNlp3n72pAylkZLKd6gDG4pksWvSK/f0E6xAfOWUX070FFFbGZ1UJyS5MIz8ulEY/0TVbM0ZBTbH/Kr6UqRoYduf55LcpFTzPaNHC2d9HZWRHQXxWxfdSNl7Au6KS5JDJiiU/IeBSoeG/QRuSwx9ORaq/Bi555KvViqwqubbvlx8A5V3oTJd1yPD1bjKVJbJ1eN93TIa1nIanXeQJPVP0sMODy/HoqJObyM7rC21x4aPC3F9ndr8NwqkmNz4jV5ijawcdDiteQzF7tOi3cb+vaz+vZcrmKD3mN2PuhP6E/oT+hP6M/P7U+2l7qQst4ioQ+/9j5k55Jjdh7oN+g36Dfot2+339hekUGPfeM9xs7Ridn1Qy9BL0EvQS99fi+xud+O2LzvQGzOd0Kf/E/7hF23FLPrbcNPoxZ8sJNDD0APQA98yT2gogwQCWJzuA1yHXL9H+X6hNSfmKW34pM5ZpcDV4qwe+u06ijUDHkMefxV53Eo3y0pu7TxU/61oEenFSKI0PL9vt7l0yAvIS//27w0G6p7glxswIVv90zlDKjD22M/NDoerMajPLZEH+qs+PSed5j93+kN5NO/zKcFQRK3sPJXSEX5ESBX+31zs6KEKGm/XuoW8yr0au502YzrNcgiptBF0xHyAPLgy86DU2qLJ+/eV4q7tv4SpeNbjC8IIx6bhz7Gvk83brayycbCoOIxk3LSsHU8Pzwm7TDS1Zv3pp6bgVyi7+dUV+QiZ7d1+n7HnqCbzdUpBhkvwA/wA/wAP8AP8AP8AD/AD/AD/AA/wA/wA/wAP8AP8AP8AD/AD/AD/AA/wA/wA/wAP8AP8AP8AD/AD/AD/AA/wA/wA/wAP8AP8AP8AD/AD/AD/AA/wA/wA/wAP8CPr9yPvwAhGgi9AQAAAACAAADwYgAAXwEAAA==eJzt2ytMw1AUgGEk63gzPWzR6Ca4YZmeRg8Lunoa7Kanq8GCnp4edmh6zwk7CTkQXsvpkv+aT/yma7O79d62X3XLxeX2eR9/5Olg9LDMzdvOtDe/Mel0Op3ezB71u/GapwPCv/r8lIZ5Up/dqttaSafT6XS/R8/f797fpdHCf/a6yGbjofm4TCfcpNPp9E3t0fPrR+UwiwzXrNy+d8wrGSadTqd/1qPnr+9aH3z9CTBKWa6tTL0s7ZV0Oj2uR88Pv1WW38o2Nsy0GpkPTPn7MDXp9Cb36O/PutT9+x3ccLdkmPo8hEn/ukdfv6ao+5mI6Kn7JbuI6KjrwnuI6KjrbYjoqesv+4joqOsXB4joqOt5iOg5GaYbdUT01PemENHzIj0O0TtEREd9XwkRPV/SY2cLRPSUbfTiCBEdZRtkhIiechsyR0TPMxnHiOhYynthiOiZ7kKyGSJ6vgFolywYAQAAAACAAADwYgAAuScAAA==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AQAAAACAAADwYgAASSwAAA==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_AQAAAACAAADoHAAA+AQAAA==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AQAAAACAAADoHAAAtgAAAA==eJzt2KsWglAUhGGjgjeUbMZsZi2bVsk8BFa6maxVs5ls1kwmY9UsZ5/uvMC/y/cGs/ZMVq9O3WG4zfCv3ySvHh9UXs7uRihMg+ZapAEK2zK+71pU9iHVJ1WIwrWLqWSMwtfTHSqPFlQTFLqUKuMpCu3drFFpMZXPUDiwm6PQ9zxU3goX6Kj0fRiVeyswEQr9boDKt6t5HSr9vrJAob1RFSr9DoXKjd0ShX6vQ6Wt5A0qf9Hozjg=AQAAAACAAADoHAAAyRkAAA==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AQAAAACAAADoHAAAjhYAAA==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AQAAAACAAABQLgAANwkAAA==eJw92t8LPfYcx/GvXChu3eJK4sLNShKaC00SbaHE/Gh+p2Vpwlri+HFCZ3RMZ2tHX5GUWkoyPxbxP9iNtCFcuF0iyZ5793hffOpx/7x6v/rc+ac33Hrjxq3PvBs3/vSc29bve+lb1k++6fb1Bz7xzvWfH3j3+q6fvn/91z98aP2h/3x8/bcXfXL9kTfcu/7HBz+3/tjx8+un3/HF9c/+/qX1pz/71fWrXvC19b8e+cb65698YP2Z335r/eo7vr3+91++s/7FvQ+tP/u8R9aveei76/+84nvrX/36++v73vrD9Wuf/NH6v/f8eP34cx9d3//gT9avf9lP1/977Gfr37z5sfXn//jL9a13P76+ceO36zuf6fjYi9/4rOvIdeQ6ch25jlxHriPXkevIdeQ6ch25jlxHriPXkevIdeQ6ch25jlxHriPXkevIdeQ6ch25jlxHriPXkevIdeQ6ch25jlzHe1735u3IdeQ6ch25jlxHriPXkevIdeQ6ch25jlxHriPXkevIdeQ6ch25jlxHriPXkevIdeQ6ch25jlxHriPXkevIdeQ6ch25jlzHl7/nbduR68h15DpyHbmOXEeuI9eR68h15DpyHbmOXEeuI9eR68h15DpyHbmOXEeuI9eR68h15DpyHbmOXEeuI9eR68h15DpyHbmOT33u7duR68h15DpyHbmOXEeuI9eR68h15DpyHbmOXEeuI9eR68h15DpyHbmOXEeuI9eR68h15DpyHbmOXEeuI9eR68h15DpyHbmODz/0ru3IdeQ6ch25jlxHriPXkevIdeQ6ch25jlxHriPXkevIdeQ6ch25jlxHriPXkevIdeQ6ch25jlxHriPXkevIdeQ6ch25jlzHOx5773bkOnIduY5cR64j15HryHXkOnIduY5cR64j15HryHXkOnIduY5cR64j15HryHXkOnIduY5cR64j15HryHXkOnIduY5cR67j85+4aztyHbmOXEeuI9eR68h15DpyHbmOXEeuI9eR68h15DpyHbmOXEeuI9eR68h15DpyHbmOXEeuI9eR68h15DpyHbmOXEeuI9fx909/dDtyHbmOXEeuI9eR68h15DpyHbmOXEeuI9eR68h15DpyHbmOXEeuI9eR68h15DpyHbmOXEeuI9eR68h15DpyHbmOXEeuI9fxvhfevR25jlxHriPXkevIdeQ6ch25jlxHriPXkevIdeQ6ch25jlxHriPXkevIdeQ6ch25jlxHriPXkevIdeQ6ch25jlxHriPXket4yy2f2o5cR64j15HryHXkOnIduY5cR64j15HryHXkOnIduY5cR64j15HryHXkOnIduY5cR64j15HryHXkOnIduY5cR64j15HryHX85+2f2Y5cR64j15HryHXkOnIduY5cR64j15HryHXkOnIduY5cR64j15HryHXkOnIduY5cR64j15HryHXkOnIduY5cR64j15HryHX8wSfv345cR64j15HryHXkOnIduY5cR64j15HryHXkOnIduY5cR64j15HryHXkOnIduY5cR64j15HryHXkOnIduY5cR64j15HryHV89LYvbEeuI9eR68h15DpyHbmOXEeuI9eR68h15DpyHbmOXEeuI9eR68h15DpyHbmOXEeuI9eR68h15DpyHbmOXEeuI9eR68h15Lk7DtuR5+44bEeeu+OwHXnujsN25Lk7DtuR5+44bEeeu+OwHXnujsN25Lk7DtuR5+44bEeeu+OwHXnujsN25Lk7DtuR5+44bEeeu+OwHXnujsN25Lk7DtuR5+44bEeeu+OwHbmOH/7wV7Yj15HryHXkOnIduY5cR64j15HryHXkOnIduY5cR64j15HryHXkOnIduY5cR64j15HryHXkOnIduY5cR64j15HryHXkOvLcj8ftyHM/Hrcjz/143I489+NxO/Lcj8ftyHM/Hrcjz/143I489+NxO/Lcj8ftyHM/Hrcjz/143I489+NxO/Lcj8ftyHM/Hrcjz/143I489+NxO/Lcj8ftyHM/Hrcjz/143I5cx5d8+evbkevIdeQ6ch25jlxHriPXkevIdeQ6ch25jlxHriPXkevIdeQ6ch25jlxHriPXkevIdeQ6ch25jlxHriPXkevIdeQ6ch15doDTduTZAU7bkWcHOG1Hnh3gtB15doDTduTZAU7bkWcHOG1Hnh3gtB15doDTduTZAU7bkWcHOG1Hnh3gtB15doDTduTZAU7bkWcHOG1Hnh3gtB15doDTduTZAU7bkWcHOG1HruMT3//mduQ6ch25jlxHriPXkevIdeQ6ch25jlxHriPXkevIdeQ6ch25jlxHriPXkevIdeQ6ch25jlxHriPXkevIdeQ6ch25jlxHnj3nvB159pzzduTZc87bkWfPOW9Hnj3nvB159pzzduTZc87bkWfPOW9Hnj3nvB159pzzduTZc87bkWfPOW9Hnj3nvB159pzzduTZc87bkWfPOW9Hnj3nvB159pzzduTZc87bkev4wO8e3I5cR64j15HryHXkOnIduY5cR64j15HryHXkOnIduY5cR64j15HryHXkOnIduY5cR64j15HryHXkOnIduY5cR64j15HryLPLXbYjzy532Y48u9xlO/LscpftyLPLXbYjzy532Y48u9xlO/LscpftyLPLXbYjzy532Y48u9xlO/LscpftyLPLXbYjzy532Y48u9xlO/LscpftyLPLXbYjzy532Y48u9xlO3Id3/TUw9uR68h15DpyHbmOXEeuI9eR68h15DpyHbmOXEeuI9eR68h15DpyHbmOXEeuI9eR68h15DpyHbmOXEeuI9eR68h15DpyHXn21et25NlXr9uRZ1+9bkeeffW6HXn21et25NlXr9uRZ1+9bkeeffW6HXn21et25NlXr9uRZ1+9bkeeffW6HXn21et25NlXr9uRZ1+9bkeeffW6HXn21et25NlXr9uRZ1+9bke+89l/yDe3I88/5Jvbkecf8s3tyPMP+eZ25PmHfHM78vxDvrkdef4hj+cf8nj+IY/nH/J4/iGP5x/yeP4hj+cf8nj+IY/nH/J4/iGP5x/yeP4hj+cf8nj+IY/nH/J4/iGP5x/yeP4hj+cf8nj+IY/nH/J4/iGP5x/yeP4hj+cf8vj/+IBfpg==AQAAAACAAACgcwAANxIAAA==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AQAAAACAAADoHAAA9wQAAA==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AQAAAACAAACdAwAAEQAAAA==eJzj5BwFo2AUDEoAANeOIIY=
26
+ </AppendedData>
27
+ </VTKFile>
CylinderKnMa/Kn0p32/simulation0671_Kn0p32Ma4p0/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/Kn0p32/simulation0671_Kn0p32Ma4p0/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 0.32
13
+ variable Ma equal 4.0
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/Kn0p32/simulation0671_Kn0p32Ma4p0/cylinder.surf ADDED
@@ -0,0 +1,410 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ surf file from Pointwise
2
+
3
+ 200 points
4
+ 200 lines
5
+
6
+ Points
7
+
8
+ 1 0.5 0.0
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+ # Species data
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+
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+ # species name
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+ # molecular weight (atomic mass units, e.g. 16 for oxygen)
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+ # molecular mass (kg)
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+ # rotational degrees of freedom (integer, unitless)
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+ # inverse rotational relaxtion number (unitless)
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+ # vibrational degrees of freedom (integer, unitless)
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+ # inverse vibrational relaxation number (unitless)
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+ # vibrational temperature (K)
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+ # species weight (unitless)
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+ # multiple of electon charge (1 for a proton)
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+
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+ Ar 39.95 6.63E-26 0 0.0 0 0.0 0.0 1.0 0.0
CylinderKnMa/Kn0p32/simulation0671_Kn0p32Ma4p0/gas.vhs ADDED
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+ # VHS collision model parameters for each species
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+
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+ # species name
4
+ # diameter (m)
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+ # omega (unitless)
6
+ # tref (referenced temperature)
7
+ # alpha (unitless)
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+
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+ Ar 4.17e-10 0.81 273 1.0
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