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  1. .gitattributes +1 -0
  2. CylinderKnMa/Kn0p32/simulation0687_Kn0p32Ma5p6/output/grid.300000.dat +3 -0
  3. CylinderKnMa/Kn0p40/simulation0874_Kn0p40Ma4p3/Lambda/Lambda_0_300000.vtu +0 -0
  4. CylinderKnMa/Kn0p40/simulation0874_Kn0p40Ma4p3/Lambda/Lambda_1_300000.vtu +27 -0
  5. CylinderKnMa/Kn0p40/simulation0874_Kn0p40Ma4p3/Lambda/Lambda_300000.pvtu +19 -0
  6. CylinderKnMa/Kn0p40/simulation0874_Kn0p40Ma4p3/grid/Grid_0_300000.vtu +0 -0
  7. CylinderKnMa/Kn0p40/simulation0874_Kn0p40Ma4p3/grid/Grid_1_300000.vtu +35 -0
  8. CylinderKnMa/Kn0p40/simulation0874_Kn0p40Ma4p3/grid/Grid_300000.pvtu +27 -0
  9. CylinderKnMa/Kn0p40/simulation0874_Kn0p40Ma4p3/grid/final-grid.dat +0 -0
  10. CylinderKnMa/Kn0p40/simulation0874_Kn0p40Ma4p3/output/grid.300000.dat +0 -0
  11. CylinderKnMa/Kn0p40/simulation0874_Kn0p40Ma4p3/output/lambdakn.300000.dat +0 -0
  12. CylinderKnMa/Kn0p40/simulation0874_Kn0p40Ma4p3/output/surf.300000.dat +209 -0
  13. CylinderKnMa/Kn0p40/simulation0874_Kn0p40Ma4p3/surf/Surf_300000.vtu +38 -0
  14. CylinderKnMa/Kn0p40/simulation0874_Kn0p40Ma4p3/surf/geom.surf +610 -0
  15. CylinderKnMa/Kn0p40/simulation0875_Kn0p40Ma4p4/Grid.pvd +9 -0
  16. CylinderKnMa/Kn0p40/simulation0875_Kn0p40Ma4p4/Lambda.pvd +9 -0
  17. CylinderKnMa/Kn0p40/simulation0875_Kn0p40Ma4p4/Lambda/Lambda_0_300000.vtu +0 -0
  18. CylinderKnMa/Kn0p40/simulation0875_Kn0p40Ma4p4/Lambda/Lambda_1_300000.vtu +27 -0
  19. CylinderKnMa/Kn0p40/simulation0875_Kn0p40Ma4p4/Lambda/Lambda_300000.pvtu +19 -0
  20. CylinderKnMa/Kn0p40/simulation0875_Kn0p40Ma4p4/Surf.pvd +9 -0
  21. CylinderKnMa/Kn0p40/simulation0875_Kn0p40Ma4p4/config.txt +78 -0
  22. CylinderKnMa/Kn0p40/simulation0875_Kn0p40Ma4p4/cylinder.surf +410 -0
  23. CylinderKnMa/Kn0p40/simulation0875_Kn0p40Ma4p4/gas.species +14 -0
  24. CylinderKnMa/Kn0p40/simulation0875_Kn0p40Ma4p4/gas.vhs +9 -0
  25. CylinderKnMa/Kn0p40/simulation0875_Kn0p40Ma4p4/grid/Grid_0_300000.vtu +0 -0
  26. CylinderKnMa/Kn0p40/simulation0875_Kn0p40Ma4p4/grid/Grid_1_300000.vtu +35 -0
  27. CylinderKnMa/Kn0p40/simulation0875_Kn0p40Ma4p4/grid/Grid_300000.pvtu +27 -0
  28. CylinderKnMa/Kn0p40/simulation0875_Kn0p40Ma4p4/grid/final-grid.dat +0 -0
  29. CylinderKnMa/Kn0p40/simulation0875_Kn0p40Ma4p4/log.sparta +318 -0
  30. CylinderKnMa/Kn0p40/simulation0875_Kn0p40Ma4p4/mir.txt +3 -0
  31. CylinderKnMa/Kn0p40/simulation0875_Kn0p40Ma4p4/output/grid.300000.dat +0 -0
  32. CylinderKnMa/Kn0p40/simulation0875_Kn0p40Ma4p4/output/lambdakn.300000.dat +0 -0
  33. CylinderKnMa/Kn0p40/simulation0875_Kn0p40Ma4p4/output/surf.300000.dat +209 -0
  34. CylinderKnMa/Kn0p40/simulation0875_Kn0p40Ma4p4/runmpirun128.sh +18 -0
  35. CylinderKnMa/Kn0p40/simulation0875_Kn0p40Ma4p4/runmpirun64.sh +18 -0
  36. CylinderKnMa/Kn0p40/simulation0875_Kn0p40Ma4p4/slurm-28428958.out +200 -0
  37. CylinderKnMa/Kn0p40/simulation0875_Kn0p40Ma4p4/surf/Surf_300000.vtu +38 -0
  38. CylinderKnMa/Kn0p40/simulation0875_Kn0p40Ma4p4/surf/geom.surf +610 -0
  39. CylinderKnMa/Kn0p40/simulation0876_Kn0p40Ma4p5/Grid.pvd +9 -0
  40. CylinderKnMa/Kn0p40/simulation0876_Kn0p40Ma4p5/Lambda.pvd +9 -0
  41. CylinderKnMa/Kn0p40/simulation0876_Kn0p40Ma4p5/Lambda/Lambda_0_300000.vtu +0 -0
  42. CylinderKnMa/Kn0p40/simulation0876_Kn0p40Ma4p5/Lambda/Lambda_1_300000.vtu +27 -0
  43. CylinderKnMa/Kn0p40/simulation0876_Kn0p40Ma4p5/Lambda/Lambda_300000.pvtu +19 -0
  44. CylinderKnMa/Kn0p40/simulation0876_Kn0p40Ma4p5/Surf.pvd +9 -0
  45. CylinderKnMa/Kn0p40/simulation0876_Kn0p40Ma4p5/config.txt +78 -0
  46. CylinderKnMa/Kn0p40/simulation0876_Kn0p40Ma4p5/cylinder.surf +410 -0
  47. CylinderKnMa/Kn0p40/simulation0876_Kn0p40Ma4p5/gas.species +14 -0
  48. CylinderKnMa/Kn0p40/simulation0876_Kn0p40Ma4p5/gas.vhs +9 -0
  49. CylinderKnMa/Kn0p40/simulation0876_Kn0p40Ma4p5/grid/Grid_0_300000.vtu +0 -0
  50. CylinderKnMa/Kn0p40/simulation0876_Kn0p40Ma4p5/grid/Grid_1_300000.vtu +35 -0
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AQAAAACAAAAUNAAAVgoAAA==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_AQAAAACAAABAHwAAfQYAAA==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AQAAAACAAABAHwAAWwAAAA==eJztzFsNgEAMAEFE3EPIGagaPIEm8ER6qQmS2e/NrJW1uK+sxbHrce56vE/WY29r1Dfqm/XN+mZ9PB6Px+PxeDwej8fj8Xg8Ho/H4/F4PB6Px+P9y/sAGEenJw==AQAAAACAAABAHwAAggEAAA==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AQAAAACAAABAHwAA8g4AAA==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AQAAAACAAABAHwAAahwAAA==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AQAAAACAAABAHwAAcxwAAA==eJxleXk81N37fkoloqzZUllTUUqLpcuWlEq0aV+QpSxJC4+ylYiUEiURopAspXnPyhgzw1hnRkpJ0aLFUlQoyvf9x/N8/F6v31/369zn3s6ZM+e+rvP2f/dLen+vGCtZC6MJy2Y8um/yNnJzM7KFc+Kd7JsxGh/p90O5GW8Sty8J/SaGVXZ/2nKeGL7pdW3H0sTYtmwR79V2MYL45bEH1cW40Vj9LVC+GUmvz6xf1S2Gbtvq215MMb4NDiiphovxKqiqUNNejJ7Fa9T8xkSQXZpF+DJFqN5w//qb4yIkee2VTVwuwvC06DuLvwixsqt6ydp3YqgQOpR5WWLkqz39stBZjMfh6o1eU8RQrJd6PkARwdZIPCx1VIQ70oP6qjoiZETcOkR7KQTTdTejKFmI6HXHv27bIUStVbpv8WkxZkYWvPk9X4y46xs/bX0rgvyGWOnlF0UomBRUs9VSBO08x8Elf4RYq3Y8oPCREOmZe5TuewpxrlxlwaCsECfFOTtf3miCN9ez71yXCP52q3UMroogbcDTc14rwuqAvz//ThahdJHnSTuGELLX3jctPyjEob4lS/QVhLB5PNWUHtYE1yGzRqe/jdixZZOWrGcjmqaKxhq3kX4OQwf0ZUSwCZd21qcKsabZzrqC9L+o5PJYmvTPkRhqYcc14cg32cDur43gbSwVW/7TiLLFgRs1tRqhLij/oE5twBZeV2QLXYj4jMJgn91CSA6GzjKVFuIhf8TMJaYJhfNmxM0g/Vvto0++ONqI2JbW+EsSjZh5zuxJfUID8g39I/NlGnC78yPxJroek+zO31urIYRwz5UU5/tN8O/Yqaqn0oSNBrtas+IbMeh6w/fOxEaEaMV+XHuuAVfc6JFtExuw00aTa3W5HlI11ztdptWjJcFT7JRZB/lPd8eWyjXBKUXn8ezzjThi8KRdr7cBqlbuc5kBDWirjnshM1SPCr9MDcTXIyJMWyJwrA42N8PfrLlcB8kFUVeXL6nDjXOuDRncWuCNWK51ciPEixtcMsMb8DForNt0jPT34GmnH6vHlcQLP098qIP4uvXSEwfq8OH4uS9GEnVov6hwV+1WLeQympfPXl2LtIL1nQqfBOixel38hV6P0HzvNeqG9eBN2idtfL8OQbpd9ofX1EE59bd/0ItaPF/wZ65HaC1C7sg7Hp9Ziys9Wu33CwTQXvtDVd5KgAkpTSLjphpopo9mHkmsw1eqlMaZhWT9U1SKSnm16LI8pOx9qBYKQQkDQYq1uJjyfmvSPQFOSoz92r5SgH2Xz3+Z+7wGNqa3Fm09WgOFzra6T7I1kNl6EnrFtTCy0+x+u4LM+/NXyzqeACUfMqOmbBLAx/zX6Po3NTijavlkUmQNPJUuRTiq1eBuXdeiZ/nVWB062L/Vthr3Rx6bdX/kQ0NJPygiV4Dsygu32SYCqH1o//OGW4PI3p+Bu11rIFnW1SPRWo2elVffL9xXjUb/VxveDvNRXDSx0KyYjwWcnLJr3nzo7i4zs1zMx+VFWbbnODV4v1Rag72uBvkLRovia6oxtuRwTI1TNWZmtntMIf1XRDRR/+Tysd6r12enGx8Zp0wsVkziw/rH3H0fHvHQMOGGVNs+HiJWbBU+u1iNoV0FJoOa1Yjq+2daUxkfS2PyVXUO8zG5MDG+RZ2PryWMzawGHpqCLV8NHeOh7pSF3RllHsSl7zsfCrgYsLhdmBjEhWT1vFPUI3yIkhsP7NDkI8RnWFpdSObJycrfcJ70C1exnL2EB+liFSavmYsw3zAL6YtcyPan0jUduHhZsTaHPlyFsTurhkvvVYEoKDojmc9D3ugq0QF7Hk6blySHfOXivlPg/LPXuDCe/NBxvxkXlcdWBU+bxMXem70zc4qq4N6cUtziVgXTi48dps+twjR968ttnzjwSlZ+d/IeF2/Memdu9eKi5culj+7aXHhvWq3pL6rCtsqlDNGZKkQM7b/ZblyFrZprZRLfc6C0bldbbh4Hfg6ftrICOHixTt9bwY4D39WxVfeHqlArLxpWTq6Cq5ZDjox1FX6W8Wdpk36TyjcrRhdz4HMwOFfXg4MD6t9PPDPjYIW+Y8q8kUokUORMWYJKhCx7U1d5pRLe59/H5jVykPgqtIR5hYOyTXcNV9lz0D67Q9dHjYNp+z7+Vu6qRKlZT8Y/ZZVQ+Bseqh1ciS1FE2pi11dihWf9yKhCJXZ1NPqpvWPDZbD1cqIWBxnrv/8Ia6+ExFmXwuzUSnDyPM5Q91XicMavwPNzKzHjS803j49slIT4S+6oZ+P1Eo2iOYVszOTvle08w0ZjfMSIhjsb57cPq17aXAnTIYl5keqVUDMImq8wxMaiWb5i2UY25u6yacxOZGNsafDGOT5s/C0dCj9kwQb/wZfCPBU23n9MHeoZqcAv0/tx2ikVWL/pS6FrExvxvsufmqWyMTHb1iDtEBvbth2fYWXFxoFYG6cNpmxETVzD9pJkIzJM7eikzApMfKMuKbStQNqNyZy+n+Xw51Ub2fLLEfSLzpU0I9dRd29PkBob0f4eCqv5FQiL/l47/0AF8uz+eTrrbzmuvH1C0W0uh8ByNORUZjmMju02ubW3HI2Duhu/6Jfjo+XO8N8S5WjAH4WBkXLMfXNq2raccmS6GF93O0PajY2tibcpR1tq+eHjSuVYIf+99F4fC973TOW9K1jY7LShR7mYBSF74mndGBZ+xXiElFmzMLv95LHWdeV4/siJeCFVDt+EnIoJdSzou5+dMjGeBY+cZcE97iwcvnb2QoExCz5eK+0kJrNQ4jegeuYlE/YuOuprCCa6OmqMlt9mYudw+eGqPSz0085rnjNkwd++fnj4JxO8lsSU61zS7nmv6fVIJq5LG7nJbmNC1WNbWtlKJo6qnD+3U5kc7wnJVpzNhJQo4OWADhMu3Z3mC+OYmLvUdPiDExPYMdrRq87E1+ALTzIVmVA6Me3HP/JMzJt1V3bSGAP0TjuW+0cGsq4tv/qonwG19VUlInKce6x2bcFbBvR69tbuamEguMQ2x+oTA7MNdnoKWhnYzEzlxeUzUOfMvJWVyICV4RNJQTIDVdevLX5UxICyA2fWjksMMPiPxBE3GCjSUaMNk/YeGvscJ4YwYJzw09HTi4HA8kH3OM9x/fuUrw2lRxkoHitsOWHFwF6L6pHLixjwe37hSf/ucZm9V5HZ48JAjeXkme/H6FhXefySqSwDf2t9Z0TIMxA34pTxS58BofQHX+VZDPQvKeq7CQY+H82Pk7Il8xZaH19nwoDcfhehjR4DzjeN3k4h81Ez7XdEiui4r2J5+WArHcyYJ5Lq7XSkHakOXSmkw9RBa/bLXjo+O6tm6g3QoaIeamEylQHp053z8tUYiDIKsKmZwUC9zsnyMzIM5H3+UWqxlY4+Cc+Q4X10HLnj7lBygI79owKj+cfp6DwW5fIol44yWsv9Tzw6XE5U/o16SuqjVtn9eEmHDktpO+0HHY/r4lMXjNAx39/N+NJBOiptXj9LcKdjoL9k7tLzdKxS/NNxJZ+OFq6s1cV0OvxvXvwYl0nHptC0/XlJdPDMJU9759CRo2Tx8/2Z8Tr+q2//9z7TGNdxfX6HGu3WKjpOm2l731hKx0zZjJmpy8n5lFinGfZ0XA/ItO1cRsfb7f2eTdvpWB/vTPj70aF30vJy6Rw6JHc6TW5SoCNr2gH3mil0fH82Z8VmUzqcXBeH6hrSEf5zQ/MFJTpUBdWhsbPo2KFp+qZMj45nN/huHqqkndO2qHNydHx9qpXe3EoD8mlN4Twa+AMLSw420bD0zxrWDhYNwcqU84o1NDhuN36b10BDczJP8IlJQ/rU/bUbH9DgHTJYW5JKg9rtiDvu12j4s9egPvgUqfeyfuHvQUN27aHkQxtpsIre1DOym4aDqQfPrN5EQ8EVz1/968g8L1pfiLfQEJ1e/ph6mIZv95+zi7aO+zUlcZf4HaKhQ+n7WI8VDcJIOauFi2hYVq39KXE2DRV9hmE+qjTomMKgaRoNdyqiJ9k/o4JbarQ+jEaFwZDNwLsCKnzm28lIkbJdYcAz8D31X5xCxeMlYyF/X1KxLzq/P5xJRdJw+BSzMCpmpJx9+i2cigaPM4z6CCpKjP92RJFj06sTFOvOUpHnahdfsomKOYZuyY+SqKCOtq8uSyHtVr54oXOLihtvvpaJLlLR2fLT5EI0FW+rrKzXOFNxumSD+UMHKo6MjBi/06Xi5bv8fuEkKlSNLfbuHSLQ5/liV/1qKmidG7eK1lJhlHeljqJCBe98l+8uUyqW+11f7KBIBYsyZeb82VSYbTD8AEkqnB5Xu7n2EbCdutXZuIvAhIZT8KknEKvyWcvxGQGjhL8dzXwCiW29US/FBNQ0o4+ocwhc5+wzCXpNwNws6PtoI4G6Rbs2xUcTiJaRTTA6SMCX92LXbHI83NPx9Wc4gSYJRem3ewh82jVqbOpLIDX60GgMqT/aWLal/A6BtocxmjIeBL5pSSRxvQnoUeziJZIJuG6I/sI5TGDzhYgLS30IRGpwPnw3I5BtE+91+hAB7TLbgWhy/N51JJk6k8Cx2HbdpfoEHtNer96hR+DHd/pmDSsCKzU7AzJ0CHhXtbKzDAkQmU49fUsIFAuSUjTHKLCY5KK1cjGBKrtPk09rEVBQPbdKR4aAyuCsPvVRCratP+/iIE3g5L4bnbHkWKtBbNdrRCBj3eHq23MJxDXO3GkrQSDlwI/wWBoF0w6b8p/aEVBvj7n9eCqBZYtSajz+UOB89GvaZjUCd5XWxG95RcE/hqdyQaVg40FF6WV3KUgKyG91SqKAq5JluCWVgrJzTO/EaArOmm5ZuceYQPW8swz/GQTqx+QDPSeQ9WxjfvrYSUFr9oO4vl4yznHByIlWCqQXK/TL5VAg5ChbhmZRMPGIbELYfQpWdZXfaj1HwSzxA+kbVylQmNKwtrOFgpTAgsDaPgqsmha/7flC5lOr3Bj8moxjU/PW+QUF66LCtlk8ouB+h/ZmqZvj9XbarZEZCaegmE1ND31PSqI956WA3M9PFcu2vSHXMd9V43ojBXeMnr6iCcfj6MSMKB8qG9dfaPlCeLEpqG/LTXibTMHF593O7zQIaD2y2SVN1nEtzrzK5B1Zp3dTsOFTCn7nSBn2FVBQM6NasOjleP2vIqytu0j73uEkFV42BXmNvvv4buQ6Z+RZRX0j999N6W7RXwq0sy9NWCNJ4M+9aRyfKQQYJ6Xy7cnfSc5EMS6OPA++WX6nUtUJXC7MlTUfoMDg9FrWLTLPnHzPgz5VFDx4q/Pp3HcKOo7Ff5wzmfifrJPq9ZlK1q2f9ihTy55Axd5g19cKBOwq/rmoL0+eg+WBlZNVif/V099Po9wh12XbU3l4QwqBrX7fTOtOEFi6qz3nYhR5Xusf02zXENg7uYi5oofyv/j/nadXFzXMYn5RoDI20MVQIfU6jKaqtxRwvLZ9/h1LYPTDlEQhm0DPeodnfteIf3kJgUvd2W2ZhQQcS/mCNlLfRnFTLgwj8CqnUOfI+vH/T8aK4pbd3RQYpbx4caKTvAfECnFmVALdW7Sb5B4SSM7o3/Q1iMCbdHHVmjgCB7StrZNvjP/v+a53Ek2LyfW4UdMXpBOQTN0+cQ5ZF6uGKXFkCxVLbr48/s2SitfNP25KLyDvM+v+TRmLqBC4hWq76FExMsSMVBgk8NXW79S6ZgJOBT0+FFLSyyafLqwk4PVxTY7edQJX1LudbRKocKkO61Ui79uBHboSUzzIOCdMlJJ2U3H7QWNwjD0VbiuGarfMp0KslZtgPZW8H0NlTlDVxu/TZ9/3O95oJ7C4cdSB8oqK+nDZe8VCKorXX6k73DQuy7TWxzJzqVA82xt1MZ4K5svj3x/EUDFry32rjkNUaJjN6gv2oyIzTW1u5VEqJqu5rPTeSYPK3d1jsS40+Fr+TuaZk30tpiBuZBYNxXvsWfclaViZS6THypF9qtzh69eJNKgHmFVBlgYuXcp2zlMqepPmrujnUP/XV//rv5yJnVIG+TSMHp7IU7tK9ttzM1rvxdCwQD/O63w8DSsEOpHTQ2jwuHZBU/Uy2Z9/695aEkz20yzN7mVhNDyPnhmo/Y6GNt+IOYw+GgLcvBR4E/4fPGFncTJhLok7ljgEDM4al88ud/tU/SHj917xSCT9c1tWG4RxaP+f/RbcMWSROKM0V2v2QhKv7J6Uk7DJhI7cb43yh0g84uj1vvnLRDqGHrwYyJWmwzb7TcBuEp+cr52c2P6FhktZ7A/FmuO4x+YB3XuEjB9w1FbGU4OOSYcM/wYY0aEbNitmizkdQXsSHt2xoeO1fyR1heM4fhq77mhODyRxk0rINHPn8fn/8NaTZB+uxx46CoUeB5/uJ+cjVhYEh9OhOIVbEnSKjkyjurUbSX8X5+0aYz7jeO8/v4ZBo7euF+hg+eqqr0ygY/UnSnoX6a+bmhe4PI6OXQYzA0VpdKypCPxOLSXzdP90JIrokNnrvJIvoOP3y3nea7vH5//DiS5uMrI2d+i48GvT5LA6Uk40/KvVRYfG8Iz++cN0qEt0fxYoMHD5bfnGa0tJ3BvBVHc0JXE582etHIl3i6ViG5VJfB6tn9yZ7czAgnvRtxv2kDhckX2YQuJtn48WclTSvneLmlnWJgYIbqnZZEsGOu7l6AfbM6DVv/zqJLNxfK/gevqYJskP7m3c764fTM5P6omy92fgRJGNDJfkF7cyPzv/CSDj651yHSbtHsxTnXvWaTx+HabkHyDze39TmbprMwNeq742HNQl+ZNsfhzxm4FY842+BzsZcJhwbHdaNQM9p6I19agMbL1lHBp1i6y/UiWm5AHJk5oS6uY9YkD/XaSISmfgwM5d4b3PGdDVDr8z5yQTzyyMQ022MrGDYP/tsGciN36PScJSJl4PuXbNXc6EecClpdtnMMFPSaoxkmbixw6NozclmXiIgrttvxg41r3aurib5CUODVdPuLCwq90otEOGha6BsDmnRUwMBj3sGywm4yl8Fk6KZmJkndeDTReYyEmX12nyIvldnOX9t+uYGFrrqSBewMSeS/8wVmoyceD7hwy1YRYcLq6NjX7EgqxSwEvnZBYMXKqV2NtZKI49N+nAAhYupD+ZvWEKC8d1DhV962LC37J/zLWNCcXHUziddSQP/XxX/xmFidUGD1revCyHWELi9ZT0ckjesF1d41eOgJsRLrNJPp1lxCl5LV+OYyeU/FOfsZCh3aXFSWNhp8St/R6nWNA54upp4MjCKoF6d4YaC19TqNeY5mwkS37fkzuTjWtSOst0Uyug4KNb/82iArs8JfNrB8uxvtJnkP+wHOc0SmiqoSS/d5ILtFxZjmH+IQeNERamrUtUSXtB8vBKk/W/BGzcijlR+TqVjQCjVxM2n2WDLr/oUqUdG7OGFzwOVGGDUN7rbl1fgXXTbFmNURUoVl++4MviCvTt6U57KlWB3z/zmYy2coRJpcaqelbiAeWImc3CStArvpvmDLKRZPfNcHodG3nZj4vO3WKD61rKnOHPxumOBUHpa9hIc5d6vXsxG8av75zIGqr49328Ag+HvDN1bDjwbrD5qCvBwfxvIeWpBZWo/yBXdtivErtGDuwcXVoJ0z79+R1jbAhEroZ5r9iwObXYNTqdjWy7jEWNoex/37/ZqFhsLm/QO/5OFfJ9r2fXaQ5kd8imfdPnYNBdcWfIj0p4PNVwcGRXgtVcUHEophKfFR4ly22rROyCRy1v9cj52SG5/AE2ht7JJXC4VXgoPq23MKQKdPc9mwJNqv6Xp54928wvl4PRdhpX3p2DeLcWO915HLia79N3760E7e+3iTKlZFx7OzbvZCVq30lGn3nExXDsiKXkPi78nxjd4EpzsfC3kGpTVYVlOWuWfg2oguLJTKLWqAodG+ffmvabg90Ha7PdHnNgeF/z4OxgDo7yvWLGyH178aRLMTeChxKqm+VmAx6GntiqGb7lInXZUovWq1xsD27Zu92Ri6b404eLJnGxUe79unNPqpAmrLnY61uFzoY8z2qDKshkfDg0PMJB0r7vXdP388HS+OfbyCgPGt84ekdu8fCbrfXAficPvLkSdC95Hi7YmV19RedizqjO5hE/LuJ/XDhSrM+F3Z7kZ6Z9VQjhJQ5sTK4ChfHmmSiiGgnle8ZCDarRKxEww5PFh8NXhxSLzXzkZ+lFZrXzwN20LuVSCg9bxe7Kd7bx4DuDuVlOmYeZoyc3mrG4kDuuHvPyBBf/ZKZ0dvnV4HQyfXPtUDVmpUlm7L1eja7WULdTqMbRub35bT18rDtW4/brDB+vBOkZbvKkLJpeFl7Jw4Of+wPNL/BwartNxF4rHrR3FkhvPSGAQoHpgaKZAqyT2R6ll16DEBULzVi9GqSHxdx2Y1fjSw1/WolHNW4OLECsZjWePjr4rqyaD2WXhXjhzod3f46pxXQ+zEN6OEdiasFNnlWtP70WR/rTMhoKBfjl+0rXylmAf7gTeUdaa7CofqTIPLLmX35YA70KrfPZxdVY1N9juGx99b98gI/jLkbacYK6f/tBHSx/+16Z/6QWIXk9tooLa7F5WdWNzHIBVDUmNOd6CJA/WcY0aYIAxmuyolyv10DJbe/NexY1mB7S7XztaTVORJy8saCgHgpy6gqZy+qRdXH3TfnnddDujFi1+kAdtu8xeajRUYuXiT0TrXbVQqe7o2bLcwG2+/uuEB8XoHWt4l3GfAFuHtcPEvXU4GKV9i3H+gb8PfzLuNCkARJ5Z4wm5dZjnuGusTWm9VhkxtzdUF4HleXT9ZVc6xDxROD3YLQWPBPDsOqLtfhpOUN1gUIt3qn8uOmdJgA7zf2Xj9z496KaGzNqTaUa8WmG/N2WMw1w5PQlWMg0gDbL85phTD1SG5YYaf+sQ1XUq9XHQurwMGzRNEK+DgfOOv7+cKcWh1syX5fPFkJbriLsx/km7GlpPLf2ayO2vYuyu+rXiPZBsVPh8waEu00PV9vSgPQTWqfefKrHtZzVEUtP1cPcs9Ss7EcdPHRX2d1NqoNb0uwOrwIhqtJeb4n0ECKrxMu/UVWI/oBs/WupTRgwi3Cp/9WIcFNrmYiARuDZkPLK7gYEdLYXpwY1INf2r3jmhAbYW/nNnxhVD1Fp72kNQxFaztZbiN4LUXs8NW9rihAvjzs8UHYQQvSG1l0mI0RKF/FJI64J6TMeJMtMa8LtoNTXR8j9GX0o+vl4SiOqlC57jIQ14B8Jb4NrjaJ/39FFuMD4+NvTSISBx44qGl1CBM02yIu9K0SSe+mrXzuE2DJrzouBqULEmds9G4hswu+pB4v+zGyCw3qudsGtRmSrnf1ce1oMa98mfoCeGA3B9scPC0UoGr3pbXxWBOu7p5YVaItQzD+V5N0uhK+M+pMPyUJs2mCtvHqjENKJ71bQJYV49Xd+Sev1JvRm03TDn4nxJT/pfE6yGCKrH34zncVIqOHqjf0V4dr1u5/L6CJk+JTd9/URoe0Dk2KgJULZwdeP+p4L4fFrOsc2VggFncBBdWshvuqY91tKNqNdtWTv/nYx9kVd6qu7JYbrfsG0j65i6H1et09RUYwrxmVTX74S4cUOE8PyVBE6Nz00CXMV4YPapZ/LFEn9nkP9NS1CnJmq1H9Xiow33Jd/zKUZ+80WJ272boZX6cLDDVubUfGH4zu0sBkuD0OXKPWIMeVzj+uVUvH/vhuvsGmLkNwgxvKgLXqm08X4P8fSiG4=AQAAAACAAABAHwAAFgoAAA==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AQAAAACAAABAHwAAMxQAAA==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AQAAAACAAABAHwAAmBgAAA==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AQAAAACAAABAHwAA+xcAAA==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AQAAAACAAABAHwAA2AsAAA==eJxdmXl8TmcWx8OYIa22FLFVQocilo7E2liunVAaihBLMYKpSKKIht7lve+9OggaWyOKkdjyMTE+RmRq6CSoGR8hU1uq1oZWY99jGJ373vN98346+cPjuc9zzvmd3znPdt6bMfmhVpShOP/eiGlrKAOupNbOrWsovqb/U105m5XU7aUiXRm7rPBRi2xd8TVjNfpjdSXbGT7bXFdy+zsSQbRLDWmTDMUZzUoaZCjJvv80MJSbPnuOXtfOCV36f9MV37RuG/luoGcM7RLkxhlKbd+HFuCtAd4butLSB6gQfBvQO592HHr76spBZ3jZNEP86hHA5dp5gV+ndGWYz8A+9K3RlSDf3yxdme8DMAB7bfk+xlCKjjl/bQP63PGbuuD069uuK04vPzQNXFN18WcI3+ujt6shekPx18HlxuOCroT5JubrYi9dF3uTsBMN/tbYq6MrazOcv06GEu/7qw6uMuS+BP9K8CQTh/fgqxP+O3oeO7QVXtBEfyhxvYPdf6BnPfiT0B8L3u6Mh9NW0wXPRU3i8BQeisGfg39LyK/pfB8C//XoV2P8kiZ+7tGkfxh9O+AhDTyzkBvG+Fv4XZPvzzXJgzxN7CzC33/CxwZ/PjJ/Lnj6EL/mrJeq6M3S5PvHmvDwlqZE+v6yiMvHuvAYh7+d0RvOeFXiXgSO5fgXpQmeO6p89zA/AX1D4bcF+R5CHH/WhI8MTb73o18H/c9Vwb+MuM7QBW9f/G+C/nvwswXeEzT5/q4m8a/G+NeqxHsBfsQR/wjaIPg7AO+p4BmtCR9BmuRdkSp+r1AF1xhwROJndfi/pknfwSX7FPz3RM89VfqHVemn4W8UeELw944meP+NP8vhO444hmuSPw5f7rxdqtibgL9t4bsm7QPitpV2uCbrrKMm86uQF/vQl4GeGarw0Bp89cD3DD/z4GsceDvg9yVVxteSHzPwc5QqeRnGOr9P3NKQ6wHvrcmHm6r4X4JcFnEw8TdKlbi1YD0Fkb/Fmqw3Hf6nwFsI7UXi4MTVxbFFlXycqwrPlYjnHvaH+cjFa4LDz184/N1F3x5V+JgT0OfmZwHzc5i/hHxIIK514eEWPB2h3Yn/64hLjCp+lcDPRtZRKnp6kxddGa+CncPEwa8nWZW8nwufP7JecpCfBm9dNMn3euipQz4+R99d/PyGfrZasU+7fB0lrlnkiUH+xbHeIrAbjt565NVLzL+lVsTT1bsZfSn0P0F+Fvr+QB5PDuwHrr23A/npyr3C+v0v82+QL8XMu4b9AvgthIfz8FOMf2eQ78A+15n9pDt5+Dv21casnzfJ01DWUTPyrAPrYQDzo9nnxzM/lnNkBHbeZ3+fwH6fyPk4BflZ6Dfpr6Ofid6NnJN/Aa//PF/NfpGJ3q+wdxwcXyN/nfEn4LiDvhfI32L/ds57V79zXrt8vWlIPOoYMq+ZIf6Hcd8IN4SHrnzvyz0wjvvDDINzi/E5huBLMiruaW4/m36eIbztNSQeucidNISPJ+C5AL5z3OvOg/so975n6AvyCE+VPSLf0iPyzTySPy08ItfWI3xEM7+jR3D39Ahv0z344xG8ukdwpjCeglyqR/BmegTXJo/EYS12bI/wdp3vp9B3CH3XGC8Dz0WP8H4P++fA/wj57xmPMmU/aUjbxZT8ameK391MkRtKvzfjA03B1c8U3M64y9+fTcGz2xQ7W/ju9F1/t5uCZ6kpcdhBP9sU3Omm+OH0XR76eCWejb1i73Wv2O/klfyJ8Irell7R18AredTIK/7V9wq+ul7xY5lX9K/2ij97vRLvQvR84RX8u7Czxiv41jN/oVd4mgyu5/QfYL8Euxe8kidnvBLfEnAc8Up+HASn03d5ykN+niX6Ei2x19+S7+P5HmOJvpGW+N/ekv3t15boKQf/d/h51JI215J8ybOEx0LmO315J1iCeyH9OZbw8ik44izuz/RL0VcGrhvgOYW9i5bw/RX6MmgLwK/SxtvC4xhb9NekDbZlvBy9Zcj/bHFeWMLvVUvitMqSPPvMFlyqLfMS6U+zRb6/Lbgibc47xmvY4kd98BywJE4nbeF/pS1+f2RLns4D30hb+G+H3uHY7YHeeugrtqTNY16GTd7T34CeNPqrbImPo9/F0Ya2ri3++nk8BK6ztPvRsx18y8Ezx5Z8m0Abg7+D4KEcPm+C+0vsHbYlX9LxIxW5TOI0BT6moaefLXn0MjiLbInfEtq1AVySX9j7HNyZ4PsQvUnoaY79HbbgXI38AuxOg6/BzBvJ+BD47IadN4hnPvGYjb1k4jEMHqeDdwDfXwVHGH7XQt91eDtHHg4nz3qjpxt8tUTf6/AaiXw15t2wKlqXhxXofWFxnwF3CH6VsV5/tMT/YtbnCdbLedblfvrxrMvbzD+FfBHrdCf5foJ1/Q37g838dOTngasP+pfRTwL3HPCmgCeRdhD+dQrIu350Rc9T9sHW2OtIfje14J99sLIleXHVK+0h9ucz7M/fsf/tZJ/dzT6eyX69ycv7Ansr2fct5idyTkzlXBjJvv0u+vuzv/dm3m/53oRz4KkpuF9wnlVhX6/O/Cuce/dN4WEb5+Iezs0NpvD4GefmYpM6hUm9Cb07kEtBz2zO4Z4m7z3O6+amxHMwdiNM8bMZegZzzsYyfzjn73um+H+K+8kxj8hf9gi+n+jfpn+Ne9ITT8V9wsXdgPP9NveUEdxP4rnXLOA+5eXek067nu+LmLeI/mruPRuxF+wRnuqgt9youLe5fDj3Nckz5odxT2qKXBeP5Ecbvm/jHrqbe+s+6mL51KGKuC+eob3M/EvU+Uq5V16nbU8dLIL50dxvhzEey331A+zMpO/lHprOvdbifvot9+0S7uE/0F721xO4rwejJwj5RvT99cI3qGcuDrwDXL42oy+HOsyfeC/sCNRl3e976B/lnXCcdib2J4AngXnz/q9uNJV6ylzaWYxPAYcZqH+689tQVwsHTzjvFYX3UjvkWjG/A/p6BuqCbpxe5h3zGjxWQb4q88p4T1/lXXya9+J5+t8yfp534xXeqUd4b+5iXgbv/5WBd7uLJ5n+TN6x43lXRvEefsy7dBfzNvGu/Yi6wkzqEoOYN5DvvZAPQd8z3v1VeC/+xLz1yCUwPxp9b2OnIf5dVoXH09Q5HlF/+YG6zd/x84/UTSLR3wC/vlcFx0nqIkXI54DLph5RCr/beMdvxu/uvLt/g9771F0KqIvsoC60gn6sWsGfm5978WM27/mxfG9OvG6ost6OUSdJo+40NdDKPhmoI/vj4tqbgd9h8HCP+tLxgH+yzqmTBNNWIt/89cNc8mQe/XfQ/xwcpdRF8uFrMbgmoq8J6+xX5Ptp8vIT/B+A/43xvxS9R+Atn/gmU3/qw7qqzrosI96nwPU5/o4Ab2XilIf/44nTROprQ1n/EeCryTp+SL4dDNTH5H2JnYfweAA9ieCcSh3ev64bgLMK+9LBQN3NxRFDvz19J49duXT8nY2/k9gHO7G/1MDOCXCuCdQF3TytT/8/5NFd8tFkvY0gzr3xvzH6noBjP3HJph4WC881+H4dvX9lP/6UOI+i3xp9tfD7AfFex/qZRbxbob8c/jaz7y0HVyo8DsH/hsQpmPES4rMKfSnYqcE+sht/F8PjbORHEefOfH9V/+X+mQ2PyayjofBcSv0pj316MfoSOV/eB2ck58xr/t+riPM28ucD8umBXvG7iutnrl7xu4OfT9deL+w1Yn45/hWwX3wIvmDqVnfx7yhx3sp55SF/fo8ehfjU1yvqj64/+/H/FX7Hu41/Z4jrLuK8FP8mIj8QvrvoFfV1l9/K8NKKe0sl6mcXOA8LmL8Z3F70jWb9DKANRd9j8nsketpxPwmhrvaIuPwLPr8A93z4GA2eKMabMX86959o7kstaStxP7ns/52GfTed+MTDR7/A744u/hXcbxKo63WmX8sQnh7gzxnwbCUPFyI/Gb97wctS4pGEfG/qjE25VwZRR7yCXwXkVTZ1XRt8k7DTg3tcOPe92uB8CK6L5EtOQN6VG8f3d+DT2ef/B44DNig=AQAAAACAAABAHwAAHAAAAA==eJztwQEBAAAAgJD+r+4ICgAAAAAAAAAYH0AAAQ==AQAAAACAAABAHwAAHAAAAA==eJztwQEBAAAAgJD+r+4ICgAAAAAAAAAYH0AAAQ==AQAAAACAAAAUNAAAVgoAAA==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AQAAAACAAABAHwAAWAUAAA==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eJzj5BwFo2AUDHcAAMOYIyk=
34
+ </AppendedData>
35
+ </VTKFile>
CylinderKnMa/Kn0p40/simulation0874_Kn0p40Ma4p3/grid/Grid_300000.pvtu ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <VTKFile type="PUnstructuredGrid" version="0.1"
3
+ byte_order="LittleEndian"
4
+ compressor="vtkZLibDataCompressor">
5
+ <PUnstructuredGrid GhostLevel="0">
6
+ <PCellData>
7
+ <PDataArray type="Float64" Name="id"/>
8
+ <PDataArray type="Float64" Name="xc"/>
9
+ <PDataArray type="Float64" Name="yc"/>
10
+ <PDataArray type="Float64" Name="f_1[1]"/>
11
+ <PDataArray type="Float64" Name="f_1[2]"/>
12
+ <PDataArray type="Float64" Name="f_1[3]"/>
13
+ <PDataArray type="Float64" Name="f_1[4]"/>
14
+ <PDataArray type="Float64" Name="f_1[5]"/>
15
+ <PDataArray type="Float64" Name="f_1[6]"/>
16
+ <PDataArray type="Float64" Name="f_1[7]"/>
17
+ <PDataArray type="Float64" Name="f_1[8]"/>
18
+ <PDataArray type="Float64" Name="f_1[9]"/>
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CylinderKnMa/Kn0p40/simulation0874_Kn0p40Ma4p3/output/lambdakn.300000.dat ADDED
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CylinderKnMa/Kn0p40/simulation0874_Kn0p40Ma4p3/output/surf.300000.dat ADDED
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AQAAAACAAABABgAACAYAAA==eJwtlXs8FFgbxweDuaW2mGTtyrZsKRa9paJ+J9rVEiUfXXfLar1lRBGylUS6fMpahcYYM8yEjKk2pCh2ydpcekcuaXOZXHIvQhnj1jvU+e98Pud5zvP7Pr/znDRp0HHBHB587/906HZdImqntXdJQwQQ0l3mO1cKwMx9KvNhJ8LN4rf9oSY8lDr+Hb9ZzIUkvUDvEScZgm9H952qESK6ccqs+DgfyiKX8NElCbgYNTg1p5GPJzUditVTPLTVWnUvmriKxlve1obVXKiNh33oKuPBPfj3w7eTuFBQWrgrmxJgbXtZLjnDB1+DeuzdmADKSPZ8ywfJ4J3Zv+SHeUKkuUXE+bUKQcnKD7isFEGaHZVnFSKGsC+W36aVhiYf302WOhl46une7TZ0A/KqsEDdxVnokZeaPBZkwaA0OdVF5w+kWw4GZNBzEXHH/aZBVB7qdcJdGjLvY2D9j4HNywoQ6+tQtib8IfwMs9kp6sVoGdym27OgBGr61ami8Ec4euoNz0TtH5zdYh3IHi3HYEWp/S2fSmy1nVy1+7oMjhXSY6xyGRJ0Gj6sfVKDbxS2uprjtajp0fE6yHgG493FVP+W5+Dob/gqY9O/iHL83PFmWRNMdhnKJjlyvGVv3jap34rXC1+f97vchlUnU/X0c9qhXFF99mHuKwgErJirOzvx667MVf+z7cE10/TUJudeDCdGVI4p+iBJsdGTWL6BRZmH90u9QTgY9revNngLY6N3h3eEDSHV4NuWr7VGwPzeJFg9aQQnVks37Nz7DqIxq67bJqNwYqkvv8BWoPq/z7o5y8fQe/8Pje5oJcR3bcYe/TIB2SK3xs9PTaJo+zXjmOApTNeH9ppafYBjoHJurw2FLBjeqAqlEOdy7fV8DzVyfk9dYUe8OnG45SMPYGiQmapdazTIo4Wm7ppLqCTFbkV9UheVVIm+uzcSpklkF2vlrUwt0t6bkMMa0iJfsjkuIzHapJYiV6czaCR8Yt1R2UUasT06c5JGWv/USV4pphMbg+K9i0voZPsPgjOm9gwyW0Y3g+T2HcvTm2CQ7+NHtfbrM4kkzZUs+JlJWs1jU8eymUQFIyLBgUUSt+hFO3FY5OXW37j+81nkTuChK28mmWRgj/2GnhdMsvCFTOF+gEU6Hic+vBbLJCGtyZ+lFzHJR65MEn/h3J46Oyapmvf4Qf4cJsmx8L+uZscg6UUlKqUMsrj2yH5tGf0TFzqpufLjtMM4jXzsB40UBsXpUxu0ydK5zLwMpdbH+qy0SP6X5/rd8jWJKihFaq5JrD0szSRxVHKjZ7PFB5EG8euekAxt1yB2rqqMp9XJLBZPNVLn4jVvVwGF7M3+67XQjvKJxzQG+ovXLnGaxvoZ7F9M4qOOcWyMbFcpU+Inv7LpnJNjoO7QMc8RKJDEm1nv4UM5EkEte4eKTqS9/HME+2aFDOPZTPtpw5988Ra3rmfRxQMDIHLpDtPJfsw+h339mLntRk8P6GuizFad7IaKdh/1P53I7LDSSBjqwJAg8b3X0nY84S70NBK0ocRw/ekjdS8hPuHrKaW2wHGNeWjNzkawJ6oGKkr/hZjZt7cr6Dnmcg2PO2k/Q723VbYyvxbVRRecY2xr8KDx0pS34ikOh55IX+HwBOd498K90yswzDIY/ya/HJvOexRe+fVvRI/YiOaplSLs9j2v8BcluCuNHY7j/IUm5WlOYdBDFOaGNJ3reoCGdndK9MF80Ke2FPl/dheNkoJmz8xcxJQfXxZccQc0I6e7r4Zu4spAt+6rg1Isv7Rzd5PuDVwyOqCyUAbytlmvzVuZhqP7ksc4jiJsDaW7hi0WwWzd1arwzSlonl/QypoWYtmsgQRwszzAaFjDx1lX2hdBdC5CfHmsxyM8WEga/SOPJEF03cO8dykXbcw4SaQbDzGVLvW1zUk45iw1DvhdNYefv2eGlF6DvWfn06+aeKAEa2jKK7hICdzCVhjx4CXeyBDaCzGyrj12Thofvt/xO5pNVfN22DjToCgJkZ20ReW5fCwKUDsUbyFAlpfZVJRqz68U37ms+gf+D1R8/ds=AQAAAACAAABABgAAEAYAAA==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AQAAAACAAABABgAABQYAAA==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AQAAAACAAABABgAABQYAAA==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AQAAAACAAABABgAAJQYAAA==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AQAAAACAAABABgAANwYAAA==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AQAAAACAAABABgAAMQYAAA==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AQAAAACAAABABgAAYQQAAA==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AQAAAACAAABABgAAFQAAAA==eJxjYBgFo2AUjIJRMApIBwAGQAABAQAAAACAAABABgAAFQAAAA==eJxjYBgFo2AUjIJRMApIBwAGQAABAQAAAACAAADAEgAA0gMAAA==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AQAAAACAAABABgAAXwEAAA==eJwtxVFEHAAAANBKkpzkJEmSJMlJkiRJkiRJkiQnSXKSJEmSJEmSJEmSZGYmmUmSJEmSJEkyMzOTzCRJkmT20Xs/LybqXazjHO8EB5zoJAed7BSnOs3pznCms5ztHOc6zyHnu8CFLnKxS1zqMpe7wpWucrVrXOs617vBjW5ys1vc6rDb3O4Od7rLEXe7x73uc78HPOghD3vEox7zuCc86SlPe8aznvO8F7zoJS97xate8wd/9Cd/9ro3/MVfvektb3vHu97zvg986CMf+8SnPvO5L3zpK1/7m7/7h3/6l3/7xrf+47++870f/OgnP/vFr37zP0dFvxfjWMc53gkOONFJDjrZKU51mtOd4UxnOds5znWeQ853gQtd5GKXuNRlLneFK13late41nWud4Mb3eRmt7jVYbe53R3udJcj7naPe93nfg940EMe9ohHPeZxT3jSU572jGc95/9sSVRSAQAAAACAAADIAAAADAAAAA==eJxjZh4eAADsVAJZ
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38
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_AQAAAACAAABAHwAAfQYAAA==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AQAAAACAAABAHwAAWwAAAA==eJztzFsNgEAMAEFE3EPIGagaPIEm8ER6qQmS2e/NrJW1uK+sxbHrce56vE/WY29r1Dfqm/XN+mZ9PB6Px+PxeDwej8fj8Xg8Ho/H4/F4PB6Px+P9y/sAGEenJw==AQAAAACAAABAHwAAggEAAA==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AQAAAACAAABAHwAABxwAAA==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AQAAAACAAABAHwAAGxgAAA==eJxNeXVcFM//Pwq2YqGC3YGoYCdPxW4QA8QusMEOLMTuwMROVCywu1BBjus77uC42otdEIs3iqLfmXV+H39/7WNhb2d25vV61sR3OJvc5bsEm6KlSaEF6bB4dfw2MjIdV9Z0r98hMB1Ti0+9il6Zjr2nv/vZrqdjfMED3fbidPT2XPGx1wQJZvTIGbnrsAT9ainvfXBKcNPVvrNlXjom32lvOlxEntcq3NcNl2DZNj5xQ6IE9K1efyTwK3ut7vgZGajVeo5vpVcZuF11q6agghTv0iNd/SFFTGI1H/dwKd7YLLpAPwnyTvb0UR6TAOPCbj3LlaDKqs5X/cdl4FBc8wun9RloW7fs+5LNpTiVfiVDNVaKuJgF7WbvlKJcnZOTWqVJYa1c+uTqyjK8LMKWH18kKNdh/p/UIRlY8Ny+perLDFhn3S9xqoEUkZPLSLyCpNjzsqDlhD1S3JmX2K6aToqTffr+caslQ8zYKe/4sTK8aXhzUcQ+GUqc7xy16FkG7n73cLF4SXFpyc3fGVOluFvFejr2KJkPtzJyuVqKOdVbFPbwkMHnmGRE6YEyJIfShZRhW5mDwx+8lOEnnVZJORpUDW68bZIUFdOX1p6dIEXJmG6rfhmkWK0z3XhfW4aWUy/mTQ6VQbGl7eWFR8n3nNvVRG2WQWdL+RbbTI4qId2S3y2TY9i2pqu83shxwadvXcFM1nGP3/I2jWRYv2YJnxouw8UWPp/X35YhT1v2tVAkQ6/ymnORveTYXOfTj6mxcpBJL3gkleNey6Q+zb0UyK2mCnMNU2C4+vKWiCUy1DzvteNikgzj4taMc/sjAx9mWxI6TI5bgXOPLY+XwyVheHxWvhyDH876kt5ZgV0VygTcXq8A2Xx/y0sFuuwO2TGyhBLqP90+HK4lx47RnmFlF8mRssm1UehzOYZyeWUvlVLAbfG370+GKzDo9cFBZw8rkPoqIHG2QYFxfc31hzZQ4oLHktWDpytxeG9lUhFK3N7UsEyzD+T3B0ZJ85opYAh9lBewWAFxOR8r8N86969cKSUqTK/Qx32IEgVPP98JP6QEKRZ1kEoJ26Gx5M0qiOUUqULj4v+WGuMVaDOl5L2PNgW2Hak2+Ft7JWZ5pLVJ3KxEiZ8OZVyGEpp22kr6mip0IFW/MliFqe3H+HonqFAYUiQtVaBCyvyO6+/1VqNt6ry9gwco4Z/3STNjlxIvFueb9luUaLv4oU/zziqcbv97TcomFW5lyecMylJhrWejnrquajS+2K/ak51qJB94EfSFV2PU1HmN3vXRIE1d1PhMGxVOXU3UTl6mwogHLx9NeK1CFOminVXUSFr95WbgXDWyK3Yxfn2lxv0btEHJ7x54kK3TYOCiH5Wd9zR46Ndr6rYyWjzrG3R6pFUFsS0HqnGmSoktgRfUiEjiF9+poUGpywkz55LfVZv7uZVLigZHvT3jlOW0OFqp/ft3oVr88MnY+ChJi8hmPTqX/KyFZKvcYKygwajKMof7NA2CV/Z4OfuFBl8byBdOJuOpE08eMHTRYtK3GqSitGjtO2PpVbsWzT4kF7duncnGy8QmyVxSgpnY8+vF88X5GhhGn3+pDdCia5sVsnF7tTgyrMbOIbwWH4Xn3ZoMyURa+Mr6WScy8XCj9miAPZOtuw69h7cJE3boEFrrnszFoEPamf53vxZrsTH75vygWZk4ZH+RHfooE92Xckk9K+vAlxva8/Q8Hdqae/gJb3QwLDvzYEQTPRLOj+hdfaoeSWXGb2h0VY+7Q252jf+hh8418fleMs9YOmwnHTKX9//0LE6HDbkFH/cU6nCzV1LT3sP14ONuV4y6pmf1ocfWAcur9AjOwoCAMMmF+1m43J0iUjb0r98Xu/fXYwz93L16XLb4ucZ91rO6yIK1sHNx5p4srJ95YXArRxYedB6982uXbMT/UNVteCQb55aO7tRHmc3wzfC/cXxi/iTOeJuFeFPp6LWe2ZjnZl5aHJMNuwi32fCL7kcgxABx2I0GVJ4WXv6ExoAy4sbk4PqMtwMaTsoBRcG86Gy8nV7a25KTDckuJ1kxA062WjJp+mEDon3WOGKKDPi7oDkoCMeofptz8GPjBrvhVQ4q0bIsa0RuR/molT2MaNX4lbfhnQFXG0XtuVA5B8KO2LvxQ3OwRP4zRXMyB83fnpC/KMrBkXbtnvt3N+LEN9rARlSfpfsdF2fEji7tSYkY4aDbmGdkuE+uHvXeczDi/v56dTasMOJu+CG3ywlGpDdZ5/spy4jdBEWDXUzwKFXU72RTE8MdEzTVvvTJmGWC/yH/JX3WmLC68O1qVaoRAf6OzGtFRjyG4erY5ia8a9okfOpIEyLoa2eS9yAl606sCUtaXff+ed2EAWKDmBA1hlaECbVF4jHDd0PY8q+jTXh9dHJ6iRgT1iac6lIjwYRGJd3PDEk34RTpjqf/mZA6kjKyGV+aOo+972JGN9n1gNSRZtBZTJhvxrDRCyvNizMjLLr8+s8VzaC7gk5mHE4s6B8QZsYmIeh+/U1muLe5fSL/kpmtvxltRWI3Y5lYAGYETxjz38SqFjS8s+3Az3oW/NpJgdsMP7HRzbiURAHIjJYq/3p7vCxIbkB3zIKsb3RjLahd1OJ+SJAFxb4BK5KjLHhBunH1RgvjQwt2JY827I60sLqygKqG20cs8FxTanbKWQtqUDhPtqDS6JRnGfctrE4t2OC/r8VgjQXTnj52+emw4CNhh3ZFFry5VqtvNxn5f1zfHfPsFrQ2vOv5pYwVgcEUGa3ITg+ut6iDFWsXKk4VD7JiVc53XYehVoj0FGgFKYaJz6ZY8adc27FKcjX1HlTTd4NVZOPcc1ZsOnp33cwLVpTafG1BQbwVp26+dk29aIWBa/y0epIVQ0M3d1W/seLiWopIVlROLtl37D0rLo9Lbf/6lhWH37wmCsYKY3zVC09eWHFzTMwb0wcrTs9LrWHgrJjdqenHW9+s0GqbXblXmoOXfWFAo5IcYhUxtdaU4rCoQ9b6jMocsvMDPRzVOaz2O1g9z5uDy85wqRQcaNeFT+CwjDTvzfkcRHkwm8OvhM/y4dM4dHx2zNVtMYczbeyjJozhcDllaJdtfTgE7ytPGJDD8Ya8v0sChy8V6c5xCDGXmBl8nUOj9JCOJ05wmG+2rt1ylsM0/dkPpY9ySDW2XLl0NwdbKe3AS+S5yABaqRwSfOkOc+hZWL9tt48c/jSixMlh/KezNxqmc1i8fsru+s/I/E/X8Lz9kEPxHPcqH2Qc028cqy8Ob6tSYrGh3YJzJR6XsoGQEGF+G+sTG4Kx0HvUVBsySfVUm2Vj+2bDrZqnSk7pacPo7iF/7L429n02kEEshZ1tDI9tUBA2OpDw71pEYfIcGefi1O9bj9hAVc+ESzZQlBrz2Mb0oQ062mZvbFgsAgK5tn0zZmaODf8RlfiywAbl5yMbUr/bEHRhFikBO8whlGDsuFh+QLOl5H5JxXeT8n/bIKHyNNeGgRSGHTbs6q/IfG+0IeFxPVMyuY6hMijQjmO07AbbUc4kS6k61w5alWHL7Zg6ssevTqF22H/SDbbjLd3OKXbMpzJ1kR1+YqOR58WNsyPuXpP4mo/tmCUKCztOaGih2RkP25Hnff7XeZ0dO15RAHIwnevAilVUOTqQ4ddw9ZOfdnTrT5WCg+GxA5lCdoP8MQ54pW5bVmOUAx0jHKeM0xxMbzgQfKjR7qVRDiyq+V/yq8kO9Nd++jYk1IE1afFtd2xzQKThWAcijypm+t1y4NL1aEK9DowWC9vB5kt+R1TPtAcOENFGCs4BVWrsZN7uYPN1wu6594mh2IHH+1YSqHdie4PpH8cHOBneOxl/OuHSncjMKU7G8040zB/TuvpaJwaU3dN5d4iT6WInApp7dauw2omjjw4RRelEu46a2ecvOJHMTdh+NdWJloM1w55mOhFxXTFoKOcEdz+YVJwThSXoijuxSiw8Hi1b6MYM+uFEmOKxxaMeD6oSwnrxWFCURBCTR7URFYjk4eH+1JdUPo8gXZ3oqe15TKxZ/fieuTxU5SIaz1vBI+XH8cCt63nM+Tlu7LGDPN4SlV8/kGd9z8Pu8qJur7U8fhR61XKP5aEtqLDs1V0eyr4difThMXL/9aPRSTwe0GnaeawThROP18unqXec4bE0dNg8/+vkufo15wz/ysPZnDozAdNlS5a17yrATm1FfYHpfB7EjFzETx5pX40fr2XzuPNq8oFOPI/eosER0Ot+j7n3JgrMRwmsjgTQO10dAWJbuguI9e5EoODfdc6LHU9jOgqg7JQyVMBVN7rDAvN5AqhKarNYwOmLhwijCahh+TW8ZT8BKTVj6h70FfCtWLnC2VzA/rR1g56tETDTi3agALKZxDkJOJAQEzT4hMDwWQAIm6fFC3DNeLJl6G4B23dbvzSQC7hT42fax/cCVLkbiNMT0CqvEtkhAeLykOeiaXkfE1CLws1GAdSNnuxJ1sftT9h78v8dxnWtM28JiNnrQxyD8NeunhQgwvwZgdW3ALexlIkFpmsEXKBy8pWAweuPjb+rFkDEz8TAnH/jjhSBWcCAyX2O3Yog3y9+uAD3kTcOztwqgJiiqO3kuQUioZD186cjC9BvL55ZaBWQoZtf65ggYPHZiZsOnhKYrifzNL898uiQgKy2tNAFpgsELPrd3KOxUQAxLeQRAV6J566UO0vWtTNVOgJEtXhTwLDixwmDNgkw0LYi6zF7SZlbHcj9XxwQUMebVjDZt5HWwfJOAkaVf/jkvB/5vs7UAAqMtwS8Iq5l+TQBI0SCJusiCjwBoswlfx9kWuVxfaCALaYm04Y0JeM1oA0s4FwI/WIBJ2nZdPn3u89D6cQEzOj936rCtzyGUZjkSN+Jhpln/MuDqg5nLum3Rl1eVfrOM38oYHmNUWtH5fH/q/tB29/d3E7e/9eX88ieJPdMPMdDjD1u8yhcShmex5CmsrSWh3iWl/CgqmXYUx4HdsZv6kXex5XPX1Q1h2f5CI+rzbc+rNybxwdatgQnSi2gioVn+oXHUW30hDrePPbk6InC4nFthz7CZeE/nFh8YsB4b3L/Ydq0r1HzeVh9cmdveeZEk/bXzLs+OBlvOVndO3G47vIhZQQnw0se/RZQx+/E1ukTswa48iCi/bKhNs/6leCP6cMNmwvBuwldq+wv5WR5jBOhQRtne/o7IQ7TxAlX8vZVI5ws1yG4S+UCuf7dNyferabI7UQOUbMf9jsYDzmQey54nH+aA4GRt86WVjhYHuLAnzgqDBxQEnb4cd+BIBFgHdhM4wE3J9LJ260+TrR+YY60jXOgq1jQDtxV1yo3v5uD6T0Hhr4r0+s44am/+t3BdDbhtcH5dSavdqDZDQlhOAfKlLU5PpNrhzoz9u9LsqP0jBvL1xHeFP/9hPCuODE7W087OlG78tKOVW9bdd+fZsfV3EeNv+fY4e2S0iHCYWc6344ZIW/qHB1oZ/OxI8Oj+41bQ+0QZcpkO0RbHE50wvHXDW8S/l5AY4IYO9qLRteON5S+NtgRfryOovohMu6kh4MrEj0xbHePCxuJ7qAs0LUK4f+6VAHZQcwfWQky/4Hvry6uaEdNUajasd8x0yOtjR0/aEzVkeiDDjWHh7eww/dRi8oV7tgwSwQeG+IJ2/S9bMPm96NfXD5vQ2sqD4geumPsT5CH3A8f0ufeYRsGHPyv9GSilzIlhcGWCzbUzu6TO+yMDWdiqWC2gaYP9efbcI3GEiOJLvKT5MQG2LAt/zVR7EQ3UZrqT/QOGWVEbxv23X8r39LWhu7ULrQj/0+mxGJDIpX3RGduD223eRHRoR+j6RJwiKD2/g6H1j+vl/19j+hPQ22t9wsOwmKK4Bw0NBaxc/i5rzEpUXIfpHILKuQY3nMgLyNASHRz+65DJhGdK8YPFzmUEhubQ3r9CCL5OaQ9bU0cCIfdvR9fn3yTY3XJQYwpznMg5vZQt4kcGvb5PP0DuR47SINHom8z93jsm8qxnIBDRZGAOOaPOYaDHEQ4787B0rn287CGHNaKRGJFblGpR1P1VubHrfgbqFlZLmTFmC1ZFbsYrVgtAua/a9Z0Z99ayv/v9wnuD7wWWFlOZsUEGtPNs8J1RYWmLdcS30Fl2eZ//qYs6ZZTV60Qy4L4nIJ4arDJ+4ad+Vr7kRW/P08iyGVhusciqvF5jawoTdj5oY8VYtzXxcr60MpyVisEM/1AK3qJjWTFeLqdE//fvQWX0iiAWbCTwtsGC8sRLWxcC/seC8MBMq44MQvLVa1YesCTUCpZB+Ied18xw0xpQmZGVwo3LhaWF1qwVAyYLYgQBb4FA2374Lni3/Xc/u4lhsdaWH5kQYhoXMyMx8yQfulJFI6Z5ctmVj9mfMpafd963wwxFnxtRpMqN4RauWb8WkiDMAuoulxZn8ybuPQpUSY0pXHDThOEuq63NY9MUJBdne40sZzGDGdr2qFmUBfZdoGZ9ZcZq8Rg1oy7TwdFpD0wQ4S1NCPu1K5WGFJkxGzL1jvfPUwQ4dTXxOZtQv57Gpya0F5ccBP6KNe4jDpuwtnDQT73kk0Q5ZrOBDr6gLJGfDzorv7TzQjde2r4jAjdMbKE70kjau+4mHTghRE0pbqSS8ajsambCb+p/PIzYfq6zF4rQ0zYS6q/xkITxFi5fA66jKQrn4PrAykh5GBEf++dbdyMUDUf8XF5SyPT6UY8Jig6ZJkR+b9X3Bh/1IjGRDW3eGLE9P7UoRmxd27fN13XZeNsfMS4Rlw2hhyZTZSxAS9rNQ8udc6Almt3PphbLoflhjlM1+WAgO7ohZWMgOXlhr0+RhzZTIWEERXF4DqL9XkWBm+6talhmWzGC9mYIDZ2NkLEjTCgaO2cx0sOGDCFkzbW/zAghdr7wByGjzkQjzf89UxP6dFJPEDIgi+Nh2dmsVwni9VrNpKv7v1yYE42+85sUFVxpZwBouwLNsBFDNp0OPiz3vaSa3To7TuQSAEd87t6FG/5ptds0CNSDFr18Hmc1j+6RRbWK+nCZjH/nYVHlalCz8bYmTk1XvzR4haNMSZkQhWXQSo6E3Gf8zu0ravDydWViUTQ4czTmSMOv9GxPFyPwM5UuejR4ccswkR6UBd6rn4WxPjOpIEYo3TR4tWnqn7N9muh3bCYUIQW3cQDi0wkLqANmwkzjRsb6VgOpMNYGofc0EE5iCb+epb7aUBMp+XJHA3LCzRY2pM6Qg1Ee91XiywNHUDL/LMWohzqm4mF1TY+Tz2TifdR9CQmEzW3dHh2zFUNsmlkwdUQ4S1RjePjKUJpQE8BjszWsLrW4FQUTYC0oF8zL0yLKPFFWjTQbN4e9VvL8kQVyz9VmJM5fnLTZBVaUxvjqQZVcV3D1ajzqF+B+rkaByicVNJgnCg4NDhZZnl43l0Nyzm0EOV/qBIPCyPJSEoQcu04QFCyHFcFuYuhZLntKubTVRDpt6MapWn8Eq1GNTFoVKPJ0+pJkypqECksOMnvVWDbHXogpWC8qsRremwSpYR+k637rmQly8+UmH/Z074wQAUCum5v9qgg2pJ8Fcvl1SzvkKP8prJdY70V+OVCD7wUzCcoQNmrh5eS5QBKeNI23K/EX9unxFUad7RT4flt+XmPJSqUEBtCjhoUHmbI0UT/g3SUnJ0LylldK3CzIQ2gFDAOocmkAnPEhVay8y0l8q9lLzvzQIlJosCTYReV159k0FOb01EOl31rf3aPlDN9I2f5uxzG2AC3ugEKeGacPrMuRoGELRHEsShY/qZk5wFScP0elW8FGert8bq8c52M5VUyFOXRAwY5y6HkLB+Qs/MHOcLFgEbBcgYFy6mkeHbPmbH2vJSd30ixqyU1ljJ2PiVjfShj/lrG9K0c3dZVL1+VfMffcwE5hooNkoFdsu5XjjWUotbnE0cKpkmZD5Gy/E2KXBrPtJaxdZexc1YZ6wc5orp+vdqtt5ydz2T87zz1Lx9lIPCXJ9l6KeNtKesbKdO5UoYLMhygcfpEGa5MGT2qxWkZ07sSzHzZruDrRQl6EpW6zj0DspW7Jp5dlQGa2i/lMjDBNaxZSF0pOolALAVVoxvPSVH+7EfXvTopxPiojozxfDpcidve/Dud+TsJquZsI4pQgqyHxy91t0rYuey/89yzsnqvJR5SXK9EkwIpRDqMloKq81NGCSaJBzrpODGUKvV0NKByb0E6KJq0XJmOCPGALB2v6DHwy3T0ofKvjoTlqxKQj2tcI0WC/wMkOhWSAQAAAACAAAAUNAAAVgoAAA==eJxNm71qZFcWRivqyFlHyhw5cqbIgdqKHFXWkbOOFDnrqLMCgcFQgWFgoMwEDQOCgQkMBzZs2OrZD1B+AL2AXqBfYHx+9neWA7OSBYt7v9P1d3U4fL4/HD7n4e//bm//LX54eBL/cfmP+K/rf8WHw59wG1yD63ADboI/3/91/ZcaintDcW8o7g3FvWG7Da7BdbgBN8Gf7/+4XNRQ3BuKe0NxbyjuDdttcA2uww24Cf58//DwTzUU94bi3lDcG4p7w3YbXIPrcANugj/f397+Qw3FvaG4NxT3huLesN0G1+A63ICb4L7J39VQPDf5uxqK5yZ/V8N2G1yD63ADboL7Js9qKJ6bPKuheG7yrIbtNrgG1+EG3AT3Tf6mhuK5yd/UUDw3+ZsattvgGlyHG3AT3Df5qxqK5yZ/VUPx3OSvathug2twHW7ATXDf5KMaiucmH9VQPDf5qIbtNrgG1+EG3AT3TZ7UUDw3eVJD8dzkSQ3bbXANrsMNuAnue/ikhuK5h09qKJ57+KSG7Ta4BtfhBtwE93vxEffiI+7FR9yLj7gXH3Evym1wDa7DDbgJ7mfzFzUUz7P5ixqK59n8RQ3bbXANrsMNuAnu5+JBDcXzXDyooXieiwc1bLfBNbgON+AmuG/ygxqK5yY/qKF4bvKDGrbb4BpchxtwE9w3+bMaiucmf1ZD8dzkz2rYboNrcB1uwE1w3+R7NRTPTb5XQ/Hc5Hs1bLfBNbgON+AmuG/yqIbiucmjGornJo9q2G6Da3AdbsBNcN/kT2oonpv8SQ3Fc5M/qWG7Da7BdbgBN8F9k/dqKJ6bvFdD8dzkvRq22+AaXIcbcBPcN/mDGornJn9QQ/Hc5A9q2G6Da3AdbsBNcN/krRqK5yZv1VA8N3mrhu02uAbX4QbcBPdNfq+G4rnJ79VQPDf5vRq22+AaXIcbcBPcN/mdGornJr9TQ/Hc5Hdq2G6Da3AdbsBNcN/kt2oonpv8Vg3Fc5PfqmG7Da7BdbgBN8F9kzdqKJ6bvFFD8dzkjRq22+AaXIcbcBPcN/lWDcVzk2/VUDw3+VYN221wDa7DDbgJ7pv8Rg3Fc5PfqKF4bvIbNWy3wTW4DjfgJrhv8o0aiucm36iheG7yjRq22+AaXIcbcBPcN3lQQ/Hc5EENxXOTBzVst8E1uA434Ca47+Hr/6qheO5h8tzD5LmHyXMP5Ta4BtfhBtwE93vxqobieS9e1VA878WrGrbb4BpchxtwE9zP5osaiufZfFFD8TybL2rYboNrcB1uwE1wPxdXNRTPc3FVQ/E8F1c1bLfBNbgON+AmuG8y1VA8N5lqKJ6bTDVst8E1uA434Ca4b7Jhkw2bbNhkwyYbNtnUsF2D63ADboL7Jp+wySds8gmbfMImn7DJJzVs1+A63ICb4PF9FDZ5wSYv2OQFm7xgkxc1bNfgOtyAm+DxHQg2ecYmz9jkGZs8Y5NnNWzX4DrcgJvg8bkbmzxhkyds8oRNnrDJkxq2a3AdbsBN8Pishz08YA8P2MMD9vCAPTyoYbsG1+EG3ASPzxe4F0fciyPuxRH34oh7cVTDdg2uww24CR7vaXE2b3E2b3E2b3E2b3E2b9WwXYPrcANugsf7KJyLG5yLG5yLG5yLG5yLGzVs1+A63ICb4PHajU0esMkDNnnAJg/Y5EEN2zW4DjfgJni8XnyphuL1evGlGorX68WXathug2twHW7ATfD4N0oNxevfKDUUr3+j1LDdBtfgOtyAm+BxLnAdjrgOR1yHI67DEdfhiOtwxHU44joccR2OuA5HNFyfcS+ecS+ecS+ecS+ecS+ecS+ecS+ecS+ecS+ecS+eq+Gw/lubPFRD8drkoRoO+u9PuA2uwXW4ATfB4zrc4Trc4Trc4Trc4Trc4Trc4Trc4Trc4Trc4Trc4Trc7Ybju90wee3h3W6YvPbwbjeU2+AaXIcbcBM8zoUaite5UEPxOhdq2G6Da3AdbsBN8LgXuA5XXIcrrsMV1+GK63DFdbjiOlxxHa64Dldch6sa/v7fj9VQvDb5YzUUr03+WA3bbXANrsMNuAkerxdqKF6vF2ooXq8Xathug2twHW7ATfB43VRD8XrdVEPxet1Uw3YbXIPrcANugse5UEPxOhdqKF7nQg3bbXANrsMNuAke76PUULzeR6mheL2PUsN2G1yD63ADboLH+0ls8oRNnrDJEzZ5wiZPatiuwXW4ATfB43017sUZ9+KMe3HGvTjjXpzVsF2D63ADboLHv1E4FxeciwvOxQXn4oJzcVHDdg2uww24CR6fs7CHJ+zhCXt4wh6esIcnNWzX4DrcgJvg8XkTZ7PhbDaczYaz2XA2mxq2a3AdbsBN8PjcjU0mNpnYZGKTiU2mGrZrcB1uwE3weL3AJq/Y5BWbvGKTV2zyqobtGlyHG3ATPL6HwSZfsMkXbPIFm3zBJl/UsF2D63ADboLH91HY5Cs2+YpNvmKTr9jkqxq2a3AdbsBN8PheDpv8ik1+xSa/YpNfscmvatiuwXW4ATfB47X7vhqK12v3fTUUr9fu+2rYboNrcB1uwE3w+J5WDcXre1o1FK/vadWw3QbX4DrcgJvg8X21GorX99VqKF7fV6thuw2uwXW4ATfB43t7NRSv7+3VULy+t1fDdhtcg+twA26Cx/soNRSv91FqKF7vo9Sw3QbX4DrcgJvg8TuOGorX7zhqKF6/46hhuw2uwXW4ATfB4/csNRSv37PUULx+z1LDdhtcg+twA26Cx+96aihev+upoXj9rqeG7Ta4BtfhBtwEj/e0aihe72nVULze06phuw2uwXW4ATfB43deNRSv33nVULx+51XDdhtcg+twA26Cx+/daihev3eroXj93q2G7Ta4BtfhBtwEj9/91VC8fvdXQ/H63V8N221wDa7DDbgJHp8v1FC8Pl+ooXh9vlDDdhtcg+twA26Cx3Mgaihez4GooXg9B6KG7Ta4BtfhBtwEj+dh1FC8nodRQ/F6HkYN221wDa7DDbgJHs8FqaF4PRekhuL1XJAattvgGlyHG3ATPD7rqaF4fdZTQ/H6rKeG7Ta4BtfhBtwEj+fE1FC8nhNTQ/F6TkwN221wDa7DDbgJHs/LqaF4PS+nhuL1vJwattvgGlyHG3ATPJ4bVEPxem5QDcXruUE1bLfBNbgON+AmeHzuVkPx+tythuL1uVsN221wDa7DDbgJHs+R4l484l484l484l484l6U2+AaXIcbcBM8nqdVQ/F6nlYNxet5WjVst8E1uA434CZ4PFeshuL1XLEaitdzxWrYboNrcB1uwE3w+A5EDcXrOxA1FK/vQNSw3QbX4DrcgJvg8Zy5GorXc+ZqKF7Pmathuw2uwXW4ATfB43l7NRSv5+3VULyet1fDdhtcg+twA26Cx98dqKF4/d2BGorX3x2oYbsNrsF1uAE3weP7KDUUr++j1FC8vo9Sw3YbXIPrcANugsffoaiheP0dihqK19+hqGG7Da7BdbgBN8Hj73HUULz+HkcNxevvcdSw3QbX4DrcgJvi/wOChtDFAQAAAACAAAAAfQAAxBIAAA==eJxd3UXUdQXdh2GeeOnu7u7u7u6yUaRERQVUFASURsEkDELpVmwFEQxUugQsEAxQBIOO9xt8+xqc+0z+a/3WPbqme529p5nm/39jw515uDNlHx/uLOnsE8OdNZ19crizpbNPGe7s6ezTDneOdPbphjtnOvv0w50rnX2G4c6dzj7jcOdJx4nHfMOdNzuP+dPZeSyQzs5jwXR2Hguls/NYOJ2dxyLp7DwWTWfnsVg6O7fF03HiseRwl8jOY6l0dh5Lp7PzWCadncey6ew8lktn57F8OjuPFdLZeayYzr74cFdKx4nHKsNdOTuPVdPZeayWzs5j9XR2Hmuks/NYM52dx1rp7DzWTmfnsU46O7d103Hisf5w18vOY4N0dh4bprPz2CidncfG6ew8Nkln57FpOjuPzdLZeWyezs5ti3SceGw13C2z89g6nZ3HNunsPLZNZ+exXTo7j+3T2XnskM7OY8d09s2Hu1M6O7ed03Hisetwd8nOY7d0dh67p7Pz2COdncee6ew89kpn57F3OjuPfdLZeeybzs5tv3SceLxpuPtn5/HmdHYeb0ln5/HWdHYeb0tn5/H2dHYe70hn53FAOjuPd6azc3tXOk483j3cA7PzOCidncfB6ew8Dkln53FoOjuPw9LZebwnnf2A4R6ezs7jvens3N6XjhOPI4b7/uw8PpDOzuOD6ew8PpTOzuPIdHYeR6Wz8zg6nZ3Hh9PZeXwknZ3bR9Nx4vGx4R6TncfH09l5HJvOzuO4dHYen0hn53F8OjuPE9LZeZyYzs7jk+ns3D6VjhOPk4d7UnYep6Sz8zg1nZ3HaensPE5PZ+dxRjr7CcM9M52dx6fT2Xl8Jp2d21npOPH47HDPzs7jc+nsPD6fzs7jC+nsPL6Yzs7jS+nsPM5JZ+dxbjo7j/PS2bmdn44Tj68M98vZeXw1nZ3H19LZeVyQzs7jwnR2Hhels/O4OJ2dx9fT2Xl8I52d2yXpOPG4bLiXZudxeTo7jyvS2Xlcmc7O46p09ouGe3U6O49r0tl5XJvOzuO6dHZu16fjxOObw70hO49vpbPzuDGdnce309l5fCedncd309l5fC+dncf309l5/CCdndsP03Hi8ePh/ig7j5vS2XncnM7O4yfp7DxuSWfn8dN0dh63prPzuC2dncfP0tm5/TwdJx6/HO4vsvO4PZ2dx6/S2Xn8Op39luH+Jp2dxx3p7DzuTGfncVc6O4+709m53ZOOE4/7hntvdh73p7PzeCCdnceD6ew8Hkpn5/HbdHYeD6ez83gknZ3Ho+ns3H6XjhOPPwz399l5/DGdncef0tl5PJbOzuPxdHYef05n5/FEOjuPJ9PZefwlnZ3bX9Nx4vH34f4tO4+n0tl5PJ3O/thw/5HOzuOf6ew8nkln5/GvdHYez6az83gunZ3bv9Nx4vHf4f4nO4//pbPzeD6dnccL6ew8Xkxn5/FSOjuPl9PZebySzs7j1XR2bq+l48TjjeG+np3H1HR2Hh7YTc3OY2xstLPzGB8b7ew8JsZGOzuPybHRzs5jythoZ+cx7dhoZ+c23dhox4nHDMM+/djozmPGsdHOzmOmsdFumnjMnG4sHrOkG4/HrOkm4jFbusl4zJ5uSjzmSGfnNmc6TjzmHu5c2XnMk87OY950dh7zpbPzmD+dnccC6ew8Fkxn57FQOjuPhdPZuS2SjhOPxYa7aHYei6ez81ginZ3HkunsPJZKZ+exdDo7j2XS2Xksm87OY7l0dm7Lp+PEY8XhrpCdx0rp7DxWTmfnsUo6O49V09l5rJbOzmP1dHYea6Sz81gznZ3bWuk48VhnuGtn57FuOjuP9dLZeayfzs5jg3R2Hhums/PYKJ2dx8bp7Dw2SWfntmk6Tjw2H+5m2Xlskc7OY8t0dh5bpbPz2Dqdncc26ew8tk1n57FdOjuP7dPZue2QjhOPnYa7Y3YeO6ez89glnZ3HrunsPHZLZ+exezo7jz3S2Xnsmc7OY690dm57p+PEY9/h7pOdx37p7Dz2T2fn8aZ0dh5vTmfn8ZZ0dh5vTWfn8bZ0dh5vT2fn9o50nHi8c7gHZOfxrnR2Hgems/N4dzo7j4PS2XkcnM7O45B0dh6HprPzOCydndt70nHi8d7hHp6dx/vS2Xm8P52dxxHp7Dw+kM7O44Pp7Dw+lM7O48h0dh5HpbNzOzodJx4fGe6Hs/P4aDo7j2PS2Xl8LJ2dx8fT2Xkcm87O47h0dh6fSGfncXw6O7cT0nHi8cnhnpidx6fS2XmclM7O4+R0dh6npLPzODWdncdp6ew8Tk9n53FGOju3M9Nx4vGZ4X46O4+z0tl5nJ3OzuOz6ew8PpfOzuPz6ew8vpDOzuOL6ew8vpTOzu2cdJx4nDfcc7PzOD+dnceX09l5fCWdncdX09l5fC2dnccF6ew8Lkxn53FROju3i9Nx4vGN4X49O49L0tl5XJrOzuOydHYel6ez87ginZ3HlensPK5KZ+dxdTo7t2vSceJx3XCvzc7j+nR2Hjeks/P4Zjo7j2+ls/O4MZ2dx7fT2Xl8J52dx3fT2bl9Lx0nHj8Y7vez8/hhOjuPH6Wz8/hxOjuPm9LZedyczs7jJ+nsPG5JZ+fx03R2brem48TjZ8O9LTuPn6ez8/hFOjuPX6az87g9nZ3Hr9LZefw6nZ3Hb9LZedyRzs7tznSceNw93Luy87gnnZ3HvensPO5LZ+dxfzo7jwfS2Xk8mM7O46F0dh6/TWfn9nA6TjweHe4j2Xn8Lp2dx+/T2Xn8IZ2dxx/T2Xn8KZ2dx2Pp7DweT2fn8ed0dm5PpOPE4y/DfTI7j7+ms/P4Wzo7j7+ns/N4Kp2dx9Pp7Dz+kc7O45/p7DyeSWfn9q90nHg8N9xns/P4dzo7j/+ks/P4bzo7j/+ls/N4Pp2dxwvp7DxeTGfn8VI6O7eX03Hi8epwX8nO47V0dh6vp7PzeCOdncfUdHYe/rA4NTuPsfHR7oV4jI+Pdi/GY2J8tHspbpPjo90r8Zh22KeMj+48phsf7V6Lx/Tjo93r8ZhhfLR7I24zjo92U+M20/hoN008Zk43Fo9Z0o3HY9Z0dm6zpZsSjzmGO3t2HnOmmy4ec6Wz85g7nZ3HPOnsPOZNZ+cxXzo7j/nT2XkskM7ObcF0nHgsPNyFsvNYJJ2dx6Lp7DwWS2fnsXg6O48l0tl5LJnOzmOpdHYeS6ezc1smHSceyw132ew8lk9n57FCOjuPFdPZeayUzs5j5XR2Hquks/NYNZ2dx2rp7NxWT8eJx5rDXSM7j7XS2Xmsnc7OY510dh7rprPzWC+dncf66ew8Nkhn57FhOju3jdJx4rHJcDfOzmPTdHYem6Wz89g8nZ3HFunsPLZMZ+exVTo7j63T2Xlsk87Obdt0nHhsP9ztsvPYIZ2dx47p7Dx2SmfnsXM6O49d0tl57JrOzmO3dHYeu6ezc9sjHSceew13z+w89k5n57FPOjuPfdPZeeyXzs5j/3R2Hm9KZ+fx5nR2Hm9JZ+f21nSceLx9uG/LzuMd6ew8Dkhn5/HOdHYe70pn53FgOjuPd6ez8zgonZ3Hwens3A5Jx4nHYcM9NDuP96Sz8zg8nZ3He9PZebwvnZ3H+9PZeRyRzs7jA+nsPD6Yzs7tQ+k48ThquEdm53F0OjuPD6ez8/hIOjuPj6az8zgmnZ3Hx9LZeXw8nZ3Hsens3I5Lx4nH8cP9RHYeJ6Sz8zgxnZ3HJ9PZeXwqnZ3HSensPE5OZ+dxSjo7j1PT2bmdlo4TjzOGe3p2Hmems/P4dDo7j8+ks/M4K52dx9np7Dw+m87O43Pp7Dw+n87O7QvpOPH40nC/mJ3HOensPM5NZ+dxXjo7j/PT2Xl8OZ2dx1fS2Xl8NZ2dx9fS2bldkI4Tj4uGe2F2Hhens/P4ejo7j2+ks/O4JJ2dx6Xp7DwuS2fncXk6O48r0tm5XZmOE4+rh3tVdh7XpLPzuDadncd16ew8rk9n53FDOjuPb6az8/hWOjuPG9PZuX07HSce3x3ud7Lz+F46O4/vp7Pz+EE6O48fprPz+FE6O48fp7PzuCmdncfN6ezcfpKOE4+fDveW7DxuTWfncVs6O4+fpbPz+Hk6O49fpLPz+GU6O4/b09l5/Cqdnduv03Hiccdwf5Odx53p7DzuSmfncXc6O4970tl53JvOzuO+dHYe96ez83ggnZ3bg+k48fjtcB/KzuPhdHYej6Sz83g0nZ3H79LZefw+nZ3HH9LZefwxnZ3Hn9LZuT2WjhOPPw/38ew8nkhn5/FkOjuPv6Sz8/hrOjuPv6Wz8/h7OjuPp9LZeTydzs7tH+k48XhmuP/MzuNf6ew8nk1n5/FcOjuPf6ez8/hPOjuP/6az8/hfOjuP59PZub2QjhOPl4b7YnYeL6ez83glnZ3Hq+nsPF5LZ+fxejo7jzfS2XlMTWfn4YWtU7NzG5sY7V6Mx8Swj0+M7jwmJ0a7l+MxZWK0eyUe006Mdq/GY7qJ0e61eEw/Mdq9Ho8ZJka7N+I248RoNzVuM02MdnZuM6cbj8esw50lO4/Z0k3GY/Z0U+IxR7pp4zFnuuniMVc6O4+509l5zJPOzmPedHZu86XjxGOB4c6fnceC6ew8Fkpn57FwOjuPRdLZeSyazs5jsXR2Houns/NYIp2d25LpOPFYerhLZeexTDo7j2XT2Xksl87OY/l0dh4rpLPzWDGdncdK6ew8Vk5n57ZKOk48Vhvuqtl5rJ7OzmONdHYea6az81grnZ3H2unsPNZJZ+exbjo7j/XS2bmtn44Tjw2Hu0F2Hhuls/PYOJ2dxybp7Dw2TWfnsVk6O4/N09l5bJHOzmPLdHZuW6XjxGOb4W6dnce26ew8tktn57F9OjuPHdLZeeyYzs5jp3R2Hjuns/PYJZ2d267pOPHYfbi7ZeexRzo7jz3T2Xnslc7OY+90dh77pLPz2Dedncd+6ew89k9n5/amdJx4vGW4b87O463p7Dzels7O4+3p7Dzekc7O44B0dh7vTGfn8a50dh4HprNze3c6TjwOHu5B2Xkcks7O49B0dh6HpbPzeE86O4/D09l5vDedncf70tl5vD+dndsR6Tjx+OBwP5Cdx4fS2Xkcmc7O46h0dh5Hp7Pz+HA6O4+PpLPz+Gg6O49j0tm5fSwdJx7HDvfj2Xkcl87O4xPp7DyOT2fncUI6O48T09l5fDKdncen0tl5nJTOzu3kdJx4nDrcU7LzOC2dncfp6ew8zkhn53FmOjuPT6ez8/hMOjuPs9LZeZydzs7ts+k48fj8cD+XnccX0tl5fDGdnceX0tl5nJPOzuPcdHYe56Wz8zg/nZ3Hl9PZuX0lHSceXxvuV7PzuCCdnceF6ew8Lkpn53FxOjuPr6ez8/hGOjuPS9LZeVyazs7tsnSceFwx3Muz87gynZ3HVensPK5OZ+dxTTo7j2vT2Xlcl87O4/p0dh43pLNz+2Y6TjxuHO63svP4djo7j++ks/P4bjo7j++ls/P4fjo7jx+ks/P4YTo7jx+ls3P7cTpOPG4e7k3ZefwknZ3HLensPH6azs7j1nR2Hrels/P4WTo7j5+ns/P4RTo7t1+m48TjV8O9PTuPX6ez8/hNOjuPO9LZedyZzs7jrnR2Hnens/O4J52dx73p7NzuS8eJxwPDvT87jwfT2Xk8lM7O47fp7DweTmfn8Ug6O49H09l5/C6dncfv09m5/SEdJx5/Gu4fs/N4LJ2dx+Pp7Dz+nM7O44l0dh5PprPz+Es6O4+/prPz+Fs6O7e/p+PE4+nhPpWdxz/S2Xn8M52dxzPp7Dz+lc7O49l0dh7PpbPz+Hc6O4//pLNz+286TjyeH+7/svN4IZ2dx4vp7DxeSmfn8XI6O49X0tl5vJrOzuO1dHYer6ezc3sjHScePkg5NTuPscnR7oV4jE+Odi/GY2JytHspHpOTo93L8ZgyOdq9Eo9pJ0e7V+Mx3eRo91o8pp8c7V6P2wyTo93UuM003BnjxGPmdGPxmCXdeDxmTTcRj9nSTcZj9nRT4jFHumnjMWc6O4+50tm5zZ2OE495hztPdh7zpbPzmD+dnccC6ew8Fkxn57FQOjuPhdPZeSySzs5j0XR2boul48RjieEunp3HkunsPJZKZ+exdDo7j2XS2Xksm87OY7l0dh7Lp7PzWCGdnduK6TjxWHm4K2XnsUo6O49V09l5rJbOzmP1dHYea6Sz81gznZ3HWunsPNZOZ+e2TjpOPNYb7rrZeayfzs5jg3R2Hhums/PYKJ2dx8bp7Dw2SWfnsWk6O4/N0tm5bZ6OE48th7tFdh5bpbPz2Dqdncc26ew8tk1n57FdOjuP7dPZeeyQzs5jx3R2bjul48Rjl+HunJ3HrunsPHZLZ+exezo7jz3S2Xnsmc7OY690dh57p7Pz2Cedndu+6f4PYjaGvg==AQAAAACAAABAHwAAWAUAAA==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eJzj5BwFo2AUDHcAAMOYIyk=
26
+ </AppendedData>
27
+ </VTKFile>
CylinderKnMa/Kn0p40/simulation0875_Kn0p40Ma4p4/Lambda/Lambda_300000.pvtu ADDED
@@ -0,0 +1,19 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <VTKFile type="PUnstructuredGrid" version="0.1"
3
+ byte_order="LittleEndian"
4
+ compressor="vtkZLibDataCompressor">
5
+ <PUnstructuredGrid GhostLevel="0">
6
+ <PCellData>
7
+ <PDataArray type="Float64" Name="id"/>
8
+ <PDataArray type="Float64" Name="xc"/>
9
+ <PDataArray type="Float64" Name="yc"/>
10
+ <PDataArray type="Float64" Name="c_6[1]"/>
11
+ <PDataArray type="Float64" Name="c_6[2]"/>
12
+ </PCellData>
13
+ <PPoints>
14
+ <PDataArray type="Float32" Name="Points" NumberOfComponents="3"/>
15
+ </PPoints>
16
+ <Piece Source="Lambda_0_300000.vtu"/>
17
+ <Piece Source="Lambda_1_300000.vtu"/>
18
+ </PUnstructuredGrid>
19
+ </VTKFile>
CylinderKnMa/Kn0p40/simulation0875_Kn0p40Ma4p4/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/Kn0p40/simulation0875_Kn0p40Ma4p4/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 0.4
13
+ variable Ma equal 4.4
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/Kn0p40/simulation0875_Kn0p40Ma4p4/cylinder.surf ADDED
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CylinderKnMa/Kn0p40/simulation0875_Kn0p40Ma4p4/gas.species ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Species data
2
+
3
+ # species name
4
+ # molecular weight (atomic mass units, e.g. 16 for oxygen)
5
+ # molecular mass (kg)
6
+ # rotational degrees of freedom (integer, unitless)
7
+ # inverse rotational relaxtion number (unitless)
8
+ # vibrational degrees of freedom (integer, unitless)
9
+ # inverse vibrational relaxation number (unitless)
10
+ # vibrational temperature (K)
11
+ # species weight (unitless)
12
+ # multiple of electon charge (1 for a proton)
13
+
14
+ Ar 39.95 6.63E-26 0 0.0 0 0.0 0.0 1.0 0.0
CylinderKnMa/Kn0p40/simulation0875_Kn0p40Ma4p4/gas.vhs ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ # VHS collision model parameters for each species
2
+
3
+ # species name
4
+ # diameter (m)
5
+ # omega (unitless)
6
+ # tref (referenced temperature)
7
+ # alpha (unitless)
8
+
9
+ Ar 4.17e-10 0.81 273 1.0
CylinderKnMa/Kn0p40/simulation0875_Kn0p40Ma4p4/grid/Grid_0_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p40/simulation0875_Kn0p40Ma4p4/grid/Grid_1_300000.vtu ADDED
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AQAAAACAAABAHwAATxwAAA==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AQAAAACAAABAHwAAJBwAAA==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AQAAAACAAABAHwAADQoAAA==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AQAAAACAAABAHwAAtxMAAA==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AQAAAACAAABAHwAA/BgAAA==eJw9WXVcFN3XpxtBsANb7G7FM5goFnZhdysYGGC3IqLog4qtmCAImJwBpEQ6lmaBhaUXNliWfOfe2ffHX8hnnb1z4lv3cdL4vOakY9gEV1RSrccg0b6T/Sc2B4+9SXK55ViEk3JyH/r4l+Lz74v6Db8vRIfs7qc3j6kF+wqdce0nKCD85a1+GUUiEPd8W2Y3ohRU8kwvzZ3f4XGuZEmHshwED+t5ggVJmCs45zTnngzse/14Frq9Bpq7OAkspA3QtH5/ZGuADFRm5SF+2s3gOz5+6qJkJchuL3Pu/0AFz675F5bfb4Cj8aJH+w+Uw8Cuk41PZZeB8m7Urp4ryuH177DOA5c1gn2Mvs2jFY0QI9nfGNirBH4v9epz+6gKJn+NORb6VAldBi7TfXlXAb9vbvn+Ov0PDox+khLWWAkR295vWr5UBk5nN922wgqY7rKaO0Ix/Fr1aUHD6yQsr06cPTMqBOKezw6WndFkH+Z5Xrm0VoXvwsaZ9GovQr97269udZSC57vzDvOeyGHEnWcNo0trwN99kaNqWCl0PLjNSnVBDGlpAUGhdtmQOLr3qd9NydB801h/RkAV9N8yv39yXD787ln4VTi7DA9t1E/o6pCBvTCkPNH1D3a6Mha9tcVo1f3cCUcswYPndCLdR8uRr38uekg99zy9XQiNj5ZcPTuzGD4ESK4L3eIg4WpKvtC4Dhp8ccPmsCeoyh5rr5VWBL126V7+eCAPvP8jP1JYu21qweJbmszhjzdydmkoYJx88aEvLzKBrfKZNiytBnpw3V4xqglM6AtKoUvis+du5+MwkHubXXHfsXzgaIOPPd5D9bZD935NEaFmU1na/cQSxDM9J+2cVY8r9tQzQ0dl4pwBR7W8DYpR+F15KPawBO3jrbiTFKEkNmLGp91p0NH51LytX7Ph4MjdNzMcwnBWnn7voGvJKBgnmTR7bi2cSzTrd3FuMQTqrz3X54MEdw7zTlikV4xa7Z7Pj7digXTLNT8JZ/5d/P7MlELs2DO2BF5JMe7ixgrxwmLU0XGSN/xOhy/cNAWYhMGX6xPHuDfH4nbSfusMYE/ombZYVgC8qy8/8e8P+G307x48PBzs11yelBGpAnr87toMN7S2iTta4V693saHCxQwN/aDk0lMJfQ6mzZwUU06/Iqbfdp6hwAc/xzfknEjHRImTHxjPSweSnUz5779LIKEQ9rT4aYEHAuuXLg4yB2gOPzcnWEsjNp29IP4VTEqVzcm6SqyMMRx1+dUu2rginL7/cAKKPKL7aYwL4Wb80njJaDeTxge8ETyNioHelQWTejGVsDTD58yNx6rhAvsX25ileBO1shNg+H3qQmslVM76DZKQCna/DxjnAI6WT5y3zuzED6ss7H+fTAfOu1ZyH20FfbWDdaIGlsJ8/Ur23qUZkFZWN6an9XVcNEn/n1iejYYHN9ZHWycjKbjnjqFVH7CiNr2owfcZVF0Lqbvwl8hcP6TxbB2OzNBNS9ocfTWFAwcejV3Z+15EHe58zu/pQx8gnJGjBMkI1vu+KtXiDu+u7LLWf+LAOa177qybs5fjCwtzl4yOgEPvNT8pWtRixp08BuxLOtj4/r9SshtZ3rDQfACErP3d/aurMbivYnDDJck4mLGcnNEqhS9N8Zrnp9cjO7vB179YfYP6Ws5F8PJW44vTu5l4eXUq08GO5dCh89zC092qESuKeZW+0W42MW537AhdzFafnGA1ZIkmNQQziFEGgTW9DJO7vMM6VgVSOGtS/TgKXdrwVNjfNC+T0LYamzbbv7DArBg44siw5+BBv1pAtOIuX/u2YkhHbP1za6dQ+eUpiiBTyy40MWpxvXu4YpB65swUbms+HV3bZYbRg7yGjBq/7izIUwdnnAjSJSC/trim4P2a7K39Wo72SXpsL5R9hOv2TZhu8UEgeToevP7XkOVFMM7E6ArxXX/1dq3/OJwzOuO2ckJDTD3CEFYFfDzVYOl3FuEtquFu3FudnimDRzfenj9zSmBir87Xaxyc1CsEdbDxrUIn41pPRN1KYs/3yMpnkkKXKP4LkbFY3loXRAij8OR6GZp1P6QQR4k6yqGO/34B1xTxqUsrQT+nLXw/RY5eD3we5gKlU5BHZvihCDy+Vyzel8IcqDHMYsQFp0saMgeW4pthiNWpm2S4Pu6lIVbzOvw1uzUrFhhNlYteC7r9rMSp+0gJwtFJ7qQpdDZbglHKQVofld3gTAjDFb+8nARmSUhjN/wY56JHGx37Eye2vEZEJTdaJuAxhvkHV91fYmmkT0PStf5gysdoBRcBgeHLN1cjj6DnTdsfSDCAqExh3y1yC0LB0S1SNdsnS5rQRYsUotVzCcAoclajV3StW16BV6fNu/HDqkAiwtt9L363UOOlLiV/IobT+2Yd9Y7W40jlWAkv8Z9Ughd6Qs0oH7y2uTSSSEon/jcXPNKBfD4WQD6HMp0vPkXDx/BmQ7PorHHl05PtTb9gffevSuma4hx1II3RnMGNKFblg3HXAqsfcsV3FCLoTT0WZPheSAP2D7L32VpF+KLx7tW9SkRoxp3kJzGZ4MKyVOOammwz8l/G6BQ102JZ+gvCvQvJQMhRsfWmY3VlQ24vrdt3dYFWuwOjv1y59Sjs6TwbvGiGjwZbmE26FG1Gpfk4PB7vP+K82EYqf33zfrCYqTr3EGFrlNIxYqQ1TmQF79MhHuH1j/I85RDB5e7zvGiAlhNCTkOTjx+0e97sxQ50iz+vUekxus6bBy48MILlzvALfvQ7f/psnSOW/TYb8z5ouiH2izllXft2YxIskhGbFuflvqjQn32e/MVeY6gFt88+tPb/4gG+4iU8V0F7mlatdL7nghvc2pmmYYIX2x5jIaX8iHQhDCjCmgdYg0Z+rraeswI+sBa+FD1s29DQS7yvCFCaypYpGr+U+GT9kShmDDk2x97mDD9B5FNbcecIsDTaMj4rvo75s+XZpgxnSBbIxD2S9cRwP00w11991WguOkdtwGZuPjfydH3LKvwpMhMz+eUGC5NXx11+UAArFr3Bat8kpCoqFNSJRKVsGliCsYN/3T5j00JfA7ewo2GEFq9PzqYJVcBhdfSEkjaHPpLoykFkwitdhepcVCGlO6HiPEAgZ/zzWhJ6G6FIUvHOFOXXU0FVSserL0UuzxMhnn99c7dn1kAG+orFx33uYrRP75xm96I+9bdy+rtWYgUdvzkaPZVa+bKkCQ17vnDtrsegf5vI+FKrslEoUyML/uRzqgwRSNfy/B6C/75MoKD/iZ8Z5k0K7NWDkOWT+zslhOCcaFDz7d9kkDfpt5x5689hdObot3O9fZFm5Ck+wbLn4Lp8ihM/JapPp8U9trlbi2fWYFcM3YfrM0Bfs6loNNnDTd6OeA4VrXjUfc4ZMZeNatq8EMeR6TYnP8GmjxS8LTUf8le7xYoSeqbo3LVZKo6V13ef6MK+vgf2eVRrYDUsEZOOafBjeVd1hkcKYGGW342gf1TwI4OgIyfm3m6jDmRt+JGiF897skTkxSgeNeszQ6ZQia3FWldhmmwPG7WQE8qzBqATMeIA0oosySLUY7b/jlyUleb7f+g7Y5rUyumJz66vrxLHramneCeIAff4tHa9+tqYFGyx/rWmTLk+ToB8ioml58pLkCm/qQy+lSlej9/wjXbTdyryWD9R19O0SLu6xNjazj2NSo17fYXidLQ+zhZwDqkMmh/EwzfpBVSU1oFTt9Wnso0/g67Ais4JFfBKIvsIyMiy8ErUTrt29QKpLgQpce2WJInSzBdvIfb8CJ4vYgQtFzdBwV0I7BfqK2eq3r07KKzst0nbdbGSPDykI0uGz2n9wbBSBZNuzVaf1udA2kh/8oDHhZjQ0Sim9mGRzx+5WsznjcfX7KpFiFBk55HquDZ8ibnaTuK0LEoRttjdjD+NGP2WFpn4RYK5Eo4NzD88ttVegzvZ0wYrwCy6A2gUdyVk8BlyO9lA/A8Wo5di1Z3DkmWQTOHQtvDBcDvgyYz68Y+bkWlan7VZMj0CO4aMW5NUw4lGLRnYh7+9Lrj3pHhccyAmRMsa0k70QanLoxc8Oa6DqNn0QGi1msyXoaYlvioEmoq2cn95kuhfFPL04jTItB4t5CzUplqf9EEH1cObF4KNdB9JNk8PUY4nCB9LhAVvnZbOsyjwJQDU7v2GOCXUKL+u5SfmyuarG7noXtGmUp4eD+vzXLiiCtMBRwpZOw6jRLxeGKlzw4UXfCJH2LA8ufpyOpybmNaizl7wphDMBMtlnTHaJUmc29Uar0fp2N+DBs4oZegGJZWp9Y9PFeFy4j9OqzJUnyI0GR5vjBgB5kZB71xMWB7VBzfvDc4ABdtMedaL4MnZ0lDVOjhSgqnwkapVtXLZUX4bepeTgpXIbUnBxvRmIxNN32Gx29NhvqxbFOG6tmvWkyfXvJ9K8/UQeKFn4HHckphsMvR25pZWUBczoMD9bjPUPVsZ6AcP5zoJ4vpJeR1VXW8Gh9UMOb4cO4RKqhy+GZ1qbIVrMmY/K0Hibvy/X1DCYiUE1qy3IthB/3CBuhhbHRhzC0vfLn6wO7x/Tnem67LWQkBCB8T4G8FHwkhZD2Gf74c2lOANGMcKWBbMice3GhY9E8C1XOvx/hfl+D/n3NdcEZnw/1CcCU0srsF6diUyxCicoMuNuuyN94EeoY5FII+p6qWcPw4iXMzYWw6v6+TjZjLHPr5vjJnKF1rdGAmEyJkzZmFF005xajP8H5Wi9EeeKjygI8E+PnQp+p5aEk7htrgqRqM1btQ2Q2Lj0BY9aeXPqNNBqBVg9EhZTPVYugcCAyYVE5leJZbMLzeM2CoX7zWlaG+/H4HJpTY9MiODK+L2zHz6QJoM/sJwS01YMoWZC/P6/cS+9ztE50x9qv6PLoMzQ066DO0fLrGzGy6aAqgr1FixJAuOUwyZZo5Vb3GIgN4f1aG/L4pgcKIkRL2XMGBe9OEwPdfCoS1buxrA24YOSGvzSy0dh2toToOHOmeOPlai6GwjMYMr6ejsCmuJjYiXIvx4NT0h+lGLIUjBwGi6egNsvcBQNTd2uAyWPa5dkTnunKI/Nh55uTkXBj34uvEhhmaDO/PJZCxsmrkT3F7RmvolU5ZCQ0QkkwIrw2ojN9qwOuE9mHoH5XlrHPIE/vSP0iBn5cGOFy6ilNGf5G4ydNeiWofnop315NOtwHd2/dV0EJkjqY2w/OUBkPnqLyd2gdqMZ85l7jYx0CNT+2ZhR2JszRgNpCGdTdh+lCiKoK6H65hBzKrgcLkChmWuhw6nnEgFYb0/Njm9DAVL9tU1wq2hal9ciGYEzkx95WafzSZ85GF//xKS4HHQ32G58NabN98cMDUCSlg3aGv0Py9EIna73Y5FWW9Ug5u1FfxuUKuOfshMX1llZ8Ge4ubtlB/I3YQV/ULu/9hwK4pHMRVIYXlszqskpRtgAF7osZm/ZHcQpyp02PGfe9YdPksibCd8RVMaMFlaj2aA9eILPaUwU5KTA1I5+ib8n84T+HwXDEmE9rfU490fi9psjEmRGDEQGRvUlgZ8vmIHptzvWW7cpsGu9KOON4sdOOqFjxIjC9mk82VIZ93CYCO4cw05HW9AsnTfzm3YbkdAW4F8vsuQ/75WqyU2J/VRizdkxRNlsd7lZrXG5DH+wrkP1eH1hTQxeg2qjb31Lc/GPycCNky5KbO2uyGNktjo2lKvBfmIK3g6vdhOkH8BpxAf1Hg2p/VM5yeZEM+iblSm9S+ivOx9ItTkcfvWjzcu7/xQ1aMr8j6v2xBfh8NWV4nyXELBcJw+HCfENtP4PdWij2Ch//dd0eE/N4pgcejFrD/0Oew++tEvJDnv99hRyoSdDCao4JI99EcItcir6cakNcrSuRzv3oktPLPsR7pMQXaLLXry1txwjSSAIYjNyxdpvctBb//TgfG3xIBlcn+Rgzvr7UYeo4f2gxnerjN0WXmkGCnixlD5z1dnxlOCUUFWV/aXxUo4uBS8GP7wysqcJ5gQWhWqQj5vFCFtX5puz1d9mDi7yv2t6cmw1PP/Imh9ZXITe2o/4bUYdHRlvN5/iU4Zu3cFZazJJgdKxzkcjQTN1WIF84e8gsW3/3MnfA3DiaBgK8mY0FfsFW9f2ng6kyceQ3M2Wjr/WVXEn7veoAVXxHiZfergz1mIZx8PWxmj0olYLvHY198zQNKIxaVah4sAJJC1Z3NhpUhJzmLLeJzobYiDBy8iqOgYiSqu9fWXLCiAVAdnOwaecT+QxbwOiwKXh5dPt42LQc/knhpcas6R9NmaBwSKgW1j4SR4wS7X70uU+dKBbCdLpQciCvZty4GAlNedXDm9OcxSpAycDaJ2SBpLUOOrDhlKFLzvBy3PvDN75b5A591I0KnFmaQtufIgdeRGgy/p1pMALEJ04wZOpZzzXk+SdFiKJF90GTyD1+/LTrSjtk4OM48+ocOUz+IFLgZ6NjY14NvT+KMStW+RAGfDpBkIxWaie3aosTOdU8eKrb4QvvsXz8LApyx7Hyj12THGnxQ9D5Acr0Ynwm3zDZ9k66eTykOuFu2vUNcBaoWEcMWrfbVctxAX6gGCftUONUhZ7Y+z92sy/I5oj5LXDFE6bN83tSGufKdsHSWCIN3eun4vsvB0IVu9f1mF6nrUKfO73QYkpZ7rK8DPl9vgrP0IFoMn0MnQU/3rr433QTImVaOuVNwW/nMzmkhKTiEGisF8v3KVOeldcjn8HLgeU6DoTlzsD5jRw9sytB9yzNmSJo+RVOH4XP1NrWebwDd3VEvyquqgO+PFCzoBUGSOi+KRiqPTEXoUX2aY4IoWBK9VW9IcSE40gMqgFQhN0im9ldy+EfiqZ4KIOnAlUut8HTasDTvUhl2oLawDjcdW8yNrFSd71Xh1pDEIWNff0Le35XBqHPrjsuWC9T3ALkQ4XOsYW9ACtbJSXCTj7eMHu/TPv4V7tu9eOAwrACSUs/aprz9pM7ds5FTT5wATsKJEaYNzaNEOGjzm+qNayTqXPEPhloGbjApqQRzUq5VtcDnYMmwefHU5vFr0uHLWzJgEtjtrP9l7KUK4OdQoa6zBktSBoNJFZi7iyScMqQ8IlIh9UWbVZgXdPF0UqAKiKr9HNyozkNagJZXQwHUxtkrYJmH0VZj20I4s777kCiVAHbTwLQECNr/XloLfJ0UQP18eiHedSFBQrQavyJwjXDoD4V3MK9PrKugkMReDnVgK3+1YM8uT3wQ7e1hW/Me44EmL2DvP+mxKr1Eff9TigsmEmSWI72eOC5H3g8pMKibhXJ1oxD5PCoW+XkQAbXVxyvh95Tos1WKSjjIsWWgbRo6cCrJd2keGP34/Wr0WiFQ+95ZAiNpECwHPwLT8XWgS4lBAeNNerVf1lcE1d8Kj6cODwE+HyxG7TN9OUjNg94m05RWI/IgP2aaVF+7HCi+P8wF2o4Ebg6/RadcGSHEGTPbdDoPDcfNt60wpDwCg7+Pttl8rQD4OSlDVQfiDKvQXM/nlNmDQnR+OHIkOz0cw0cqZG/6xgP1N/84XOVUuJNErPYLiRC079NIi+xs4IaVe9BDmEpet0YEK16FZ864I0T+fKVA45fPcuB9cAT0oRcb+Zjs5TT48xAJTv9s2rG4OR07TvH7Yr8ckcaw2WJ1TipGCreRGfjGzHFJwRgBcmDMTVod8nq7Dkc2GqXcnC3CzdTgV0CbeNTGDWcroB0NAsKBv7cphSgi1zQE+Kh7qqXXiRLg9Vgt8D65EnwP/pe6fXQhXAnfWSnc5Ae0PWnJ6Kqx9NGk7zn4t9Wl2yi76+pcSQy3yDXX2UqoMLSf9myfGC+eE+dHDMiDr+T416XQ8uud3aUvEuD9RiZMTv484+/iKMhMbee2MKMMZtEFbICcq9Y//0t+CveILPklU/N4NfC5YjJu2Wn0RJAZiRmT9bb5HY+GC5dbucpUA5+DFUHQNc+mntdLgc/5ipC/5xLi5m6EQYVQ/JoYSinQ9rjXIFes1KzYGvzFseel0kysJtdh3lGwYPHqIs3tBdD/4Z4dw3W/qfGqDlqHDl0437YMlOUn/jHbc+El8zTG81Uc0rVIagY+P2n73xxvJ9dl0Ul439smycikGPl7jDSczv1rTV7C/3x8pks/kx2sNV5ftSang3sgrBxq6fruaQScUkafSv9bBQu6EWbOAqpPdeuAyv9EOeSR61dLCfBzHQWDqGAJh1GcDDQOKlfnH1VqXK1GDlR7vi2rV+eLRfjntItmfXIOTA3fHXYjtBSGr6u8cZHzNwvoRc9foPH5jVzYRoFbDr2IfLZSwp3MGqtnTcF4klyPxAmwSIz6fo571DqvUK3LZPjvawtXsRIMInG8dzykTCGJdhJ+dCKCIBttz8Q9HnGjAJ8TugyqxZ8kVuyUhqY0UEpV5+gJ6ryxFgL7MwuHryuG2333mr6uD8ajNEiKxyK9065d+mQj7+MTIIDIOON8SFh+dW5RyTuk7btYi0TNfvqZimwAESgFmErk9OR/QG4b19m8BZ2YpC8X5vvjYXJ9Z54A56aTi+1c+D9VAXC5AQAAAACAAABAHwAA2xcAAA==eJxFWWVYFF0UtjBBBURsPwu7G5XX7k5U7G6wRVFE7O4WVFTExu52Zu7Asrtswi4sBha2GCj6nTuOrn98lt2ZuXPuOW/dKYZ2ja4tc8AvYKatetk0fDrRvHW9TmkQ4wNz+yENIy42SNuZ5cDAmp6Lj0c4cGjY8m0R/R3o7jDZWxpTcb1I68meVVOxt3Si5475KRgUO6ZS0TNp6L1+53SPZWlox3rFhPim4ZhL3ayCege2RU3xSZ3qwH/DzXUtbg7E7n937FG3VNzz9unncjgFtyaPu1c3044epuiVE2fbkT/9xYeFe9Nw/1KH3W4N0rB6eMdzNrpPUulFoxoMcCBPnlmfv91MxYTFjfPlT0/BqKBm9AopuLEgpt30FXbkaxsbWsBmg3VbzRtyBxsqTRjVq8VPB+53erCt8yEHkqd573ndyIG7zSt1XbgsFQPDHqbFnUlBh04zvxd5acePHc2HFfe0Y//nWx8uTrCh8/cuF3sJyfjWJNu6sVgyXLLaH6g8zIG8HsXwyJaKQtVx/MvLFPV5KXCdy1duR733toVXntrg9eRnj2rtbejft2rk6rPJGJCyIXDI+ySE/T41VuiYBLPHxzYJ41MxL3l5uu/6FLX+dhw0NXrXrIMdvfJ2kk7MsmFVnegZuxOTMetaLZ8m5ZPRcUSbPecmJmFxjr57m1214nwbn5LNC1lhCPMOcZmUgnElH/t7X7bDZdKjQy8zbHicd9HiEhVsiMzu7F5yYDLaPS7Xrfy1JMS6rzJnFkpChodxaO6hVlBR6nY/asHIlstW/CpgwRrx7JqmDey4UfFbate5NizYMjv+6d5kDDmQb96EN0lYedtniqFdEkZlR9xftMCKzYt/+AZqLHjjdqve7hr0f+bbjV9jzHh6k2+0Ge/XOJbUtCajmFLIZLSJELdGTUnC02UH4mMSrMhXJe5Cdk0rDl1o+u3eWAsG38kz3R5vhvW1vfy7AWa8SfywaykzoQ6buqlLRxP2Sk2TbbuSsO+Y79PxV6wI7Xw7pGwzKwpMa77zcYwFX/2ztC6ZZgS1Kmg+HGjGjAOvNu1NMyG+RU/d5gATvtdPP13lqRFl8ku5fAKNmF+ocrXF66xoEahZpU+x4Pt43ukWDKm7YuahYWYsr1Kud5NnJuRQXtSEnSzZvWchE/x2+M1uE2JE2Xld873+bcC2H2XX5Aox4M1789j1wRYIY/LWeJJqBnznPDvf0ozN2h2zqp82ofLbc58P0vWpjkJbj4cZUd68Yk3QLwOMBSZWnDrfgP1jWn8J/pqIBht/3r0zKxG77FtXLh9ixrJJJfwqHjXhxPxKn8TyJvwImPbwV6wR3af6nXbzMmIY/7iQ7sPCR7x6nohvJb0Lh49NBA3dFt+ciUj6tX27zxE9bhsS9q7pb0KU8G5a1nkjCBwsu9saERXIC2bA0EUFQz+4GlBh7lHtgvWJWJDzi+54zUR4Gy7HvYzVozdNe7mGeizsGZz6LUmHBkM6DfBsb0SVFk1yfbhmwLifP9YVyue8fnn+ZuE1GidiyuVhE08n6kFDdDF8kR5Km7vqodw+QofBfNtq63BmxNnSl2obMMNj2R12MBFzFKBKRAovA13fyL1Jy5t99Thd48fp/L90WNyXd4gOtBnyvjo63J31Lm3LEy22VGxw8vF6LSJ7Pe2ip+fPUgZPjyUK8OhR4HvkhPOvdEDZjSWj1+nwemBCl3eldUg6mUWV1WJwo/37XTdocf3K+rzvi9Nn+6vmL0MS8HZetYKfV+txWZcjJVcBPaQN61vfOK2DrVupw3P66zD+69NRB030+xXNTA+naRHMYaq0FnkGFq4duz8BY3ZGp5SyaKC5d2DutykaLI2tPmj+Th1ehjyZklBLh6e1MiatvK2FR/0qW16M06K+JjW8bR4tOhevt3TovAQ8zjmu3+n3GmBz1S7m7hpMqLrs8FNjPCqWsrfJ6B6PuU17UcnounPfrzTprwVtUsNuubQYfq2La66aCbAP15c4dViD3j9LUEk0GPZg3mjT2ni0/FquTvO3cbC8/9x18Io4pNHUnnOPU3+nxe6xfGUJuK4NOLZ5hwbT+4xf1r2BBm7ZngEno+NR28/lzvy88Yjs/2N2y/Fx4F1hzxcHPS/TGhmneFl/Mew3W6rEXNbAnzV4cK6OBvczqwVsvBePx2ekUplF45Fdr+38C0Fx4Hdzy5bxcGa3ExWCZHRWFsLwIiyLEJvhyLLMJYU/Seh46VO2Yb5z/X/eOw43nxQrKz2TsbrNyGfaijKaXxDn3opg6Le54JhCbRiUbXkv4ZY1/dHncAm+cTu9R5aX0MNrXddXeeIwOerIx7nhMly8a06u5yaDs9anowwl2eq5Xn0Zktdkj/v6VALvwstbJOheFB49oaCE8od0ZR9oRKyuvrl93cMi5gcfqdWujIzpjUIvtw5j6nwwRDpGd3A7StfJ1XYMHSKBSPZri2ISzrsGnVybLKKWYU962WMi3h8681+8vwhPDtdVRFzqerbZvu8SHh3LUSIhUkKFrev2LW8lYc7ZXwmjbong3eMzRVR5UkTTDf5re+UU0UIIzch8K6C2QsgCrgr6lXWiBbTo9+LGozoSFn4VFhqZiKHbrP9tXSeCQIWYTETlfcVvvKgponSnkw+P5RDBWfjFBwEzxpb7vmypgLTWvDMFBL6eTkgrIMeTko0+9xJxasWDVjv8RAyzdcw9v5CINoW77pr0Q4AmJsE4MEPAPtu73sVe0Gfh4sHR+wRkGcv8t+uwgAFR9yxt6T7eyoYLaBo083a7PiKeXenn6/9bwNkBnMCd689e+TnZTM831OQMKKA5TV2jUAF17ZXzLt0uYG2D0mO3bBag0EOsgE8b+s2uvFNA7oSbK7ttEPBWk0QKQYDymEgBvwp3WOpHv++yP9Tn3goBP3NENQmaKSCywa+QR8sF3NmeYcn/QMCpwzEFDlE9jdsTPra8ImD6necr3e853+/ChhifVdcEde4FhDUP/plyVMDuTr9GOq4K6NXac9T9RHqPmIzrFb8J8BH26+9mCTg+OSz6B9X5cKWrP1d+FjDyRJ6193cL2F7Y9Ls5vffffWzmdbzepaK0X5ojV2LoeX/3+2J/LjjEf3X7GN+k6dGqIuKWcKIUwVlpQoAIN95mE0UUn9yDSiKi/O3LLxMWi4g+Pm5KyGYR3h/278ocLeL7V04kIq7v5YRL+zopJWjNBhFD3FYvrBVC63yZMTZwm4idDx+kP0miz3F5CSpEPOmXY90ErQhlmfTZranj0/38Ehry7Tgv4sLZY2V/7RFV/UD37f7tyOIU5+e/c/B2SFu/F1ZaPx8TNwnD0obVedxCQvaXOY597hKKe+7dOKWdhLFxw7qJ+SScjL7byJXmOD+plUuFJEx8EUGTJuFnX8yo0VfCrImb3yyCBB+FGCXkVYSuhK0zLl2tT3MUvyVH44tTJXDVqKff/+ExSdVBkqr3JIR7jCdKlbBnN/8nYTg9vRV9vzDSq0TsNfqew9MzCdOnd+/l/1hCB4+b60ZflaDQHf29l0JsDGOUF5T+4dHV1IPVtFUZ7LsOnH1A39NiTtX1YBB3Xd+xqQiDJbMQrUACFVeLuxIINEhZMVSZk2tP/tJMxWWGheO7hO4ZwvDSp37+k2UY8ikALqHzsdOLdjyXoNDoDgk2UjPDP0tIvMEBU8KDtnyHGX4XqDPQMJLhVKPqLvbhDM26DidpwkBgmvx9McPOU5kd2g5lCCBU8qf7R5IazPmF6rHofPz6lxKmtnvYbIknAw3t83ojGHbz5Qcz7CVUe9GZ4eQpy4i5vQhHe3OGYyqvMBz/wQeOITQiiKCFIUQRTgxdSZWPyctQ+nr7TNMdpvIow9Ujxk1XBOd9FBjfzzCVXMisMQzvCWU8FzDwXW9M76HINVrvs4LvZrqnStD7xuz57xVDNJeTOWX0rXX5QikPWdULTNWNDL+4jP5AvBHWh6CBISIXV8wMgxRhzZCw7Pr5uckSZja0hSYUIb5qWLzHhKoyvMc1EStXcvLIu5P2uQevMjyowgeeocP1guQoaP/8y2h+TmaoOv5mCbaaIVghbga/85Vb96gtQ4HfEjK05wdnXk1i+HBt8d3p9P5nOP2UlVH+89SBIaed9bnwLGDNCcYwlI/PSYY3hFqvs6jfDywsspP4yH9W6MgN5WRV39F9i1QK71RaBlfBjkLO5/zR/c5+OkGoVoT6wFURRBK4GnVtKUORd51lkKm6fCa3DCKdegfaONcdzuW+kYHELScaVFAWzNAitRc5SYZicm2iDAm/atbs0ZWuE65x4cWwK2sBUbaMLTu48Kb7ro4nxmAY/tkrquRa5/W7lXFx7ncFxUhIKHjtZlT9ITImc9h6yvAqYXHUKlcZw3qnNjgmM2wox4GPqbrIeb+A9NmDu09lMGYsHThSZBjluPo1kOaDxG/vkr8ZuLtoRetSbHIFGVZeXhf533qPcxhyl0HgFxm+m37vHph/AO2v7fME9KV5XXJjEEGecz/mmabTCMhYtb/67OFjZJTcdDMlm/qNzPZr7wyGaeR+NPfYPx1R+c8Go1P6ZpSYz1BKISAGjyM373r7yDDGXrzVeaKMkeIrUrYysqOSjj2pL0ORI68ZLu9s1PF1NM1Z2FqvxrsYLtXmBovhU66Mw/0GMcwldD1yU0JLRWjJUORTKRnFf8hvpftM9fey6m/pei7DXjJIzxCVeovh/vUAUpYM2yO4IGT/cC3iBB98GTc4HDSR0aPonPKhBobq2qofK9P1DzfWn1eb6pl4NwsrvxMe0JTXoDmxmZfO6riNITvMfnZaH4bWigEnnEmoVaB3PxkdyKU3pN8rtFVNxpdh7j9nVHHuxx9fwLCuaLlpZc4xfK/FJ5b0nELk1BdswoJyNglvX99pXqmrjFqKoZbhNWh7yKA8MhR6aSWjy7XxRKkyqpH6vmVlUMbuEkPudgMvB/dkqGdxSy4+zjkff59/tAjvOPkfPoTR23zJK6OYtj1JbsJZ73bNdaed9f+Lw/vd+YYybLvhS8xPvEeu8F0aw+FyXGgy8Jc3ZREek7us8YOp+YkT/7w2j/KaMZb+Tmz9gvqmBH9MW4Z2zxvPXf2K6qcEATJyKMGOsz/+1qt4yrOKtzxlNb+h57bgHerEwb991K38tchb9N7dchkMsRcZ+pPK+r2JoQaXwf7OPg3bVGtkrsuE55xOvjB0bMsVDIMiD+m9TacObE1pytBkMH9DCQOVhmHo8rnBmmfED6WpGx4HEt6SWxuxkEGR48RHqasHk2NncOnzNWfnaQwr0n3XX+jPUOuG3GER9V3xxrtWpFViIBGGH5tpXvrwhMnJR39xTfumynqdLwN3eS1pHv74TeKnN21n7e9I+j3V6+7vgQwrybX7FGM4m/v5umpvJKTpHrlP+SAhWHmAhINd48tNdGH0LG5EJZj7GPP0+Ur655g8ejT5FqUcb52f77KDHS7R/8/7Bgz4MkxCQKuqN2cskpBV9Yp/n2USVnI5PVtScwPSCyN5wiSp+RjpoC8X7o/YKqFdnjJtt+9x6pEARag5dU+Pg59KXW8vQYGX4RLOtuIEI4GzRFaAhGYHi+Zc2Zv6Is/jOdn0nMdbnvR8OVLCoUKvhqbT8xcfj2jqdVxE9/4z3KZuF3HAdcOWQc/Ff/6JZXMBLWFfGg+gJGTUvV61COmw9t1XVw4uSTrjy5mTjapLCBrCnQ3d/+X2WNcgEekulk7HTjv138Fb43rufCiqflqEpl9ZGh0RlW55nh/uKv3TmwviWpOlEtFEMQYiOtvGvGznLSKfpiTtsIjq5C4zq4mgIvVY8kXA6lenlp7yEFGU010nEWXOFScqFyFU990iLxHxLVAKOjZbxL1Jd9feChMxZ0NO62u7gLE8lhEENVcUsEABIKfeT74dq48qRuvzelQ8rIyIgR860haTj/sQSg5fRNbe3qtC24lQ4ibS/yWVHwhocsJv0NBzAvwW+Ec3jhegxLQnBSh2/qAArlbSZQFnznWjiovgqqqgu4hqRr+yG0uKINO7rbBJwIcxHKEEBCsvIiCds8MtAQrN33au200JkAT4tq7XaWOqgIonhlKnCXgxueaXnfSeoaRaXSyCmo8KqP/6Ye+eFwS8LpM71nxdQDVC6T2S8CfG0Qp404knhk7f9SeXEqDQAj3v2ldeUBHrl3BBJ0KBxyYiJgY0K7rFRfznkw635sGgAIXWySedurPJeOqAAK7KR612+rn8Q5ZWODFUQuUOY/0flpYwm8Me9c1EYtUVA6i+5O4LdyUfvGIaWT+q1wA+sQL+q1xo151TAkIUweP0rS0jpzKvFJqLcLdeZ7ZJIFAesas7zXO1BbT1EqoWq+goGiOCzPqob6tEzOawPULEmH23CyzPTz4/37YeV8n3eRaptncm+UMlViT8XDybMwrxWW52NCBNAlcBl5ZICFECDAlFRk8ouN8sYtz64FUd54noMoZXQkQxxWhQXWtE/YxKEuDB5blXHGLINSwIlAHqltukB1qO546UdKkPXyD75y8UO99HUvNWCa0Wz0iMyKZ+7s47VFT9Ujz2/sqgnYvDnnMTfVuUjFPzTNILisAnvUGuI4nwNA9f/jBnbhEx2CPyKPkG7gr0NN9/8n+NmsPFo3T3++/d68ejWbKNHEwcjl7hBjdO9ckylNiwoYz6POZ54Lz/IkX4SqiX+eloRS+tmnsmwHKAP1CD6BLPZ7StoFHzmnhc2Hq3z8dXcVh05emVfr5xqk+W/+kfjoKttEz1j1rkLJEQeXCJFt/WnyHE08In5+TJVrr/DVLty9M1ai6rwSMOK73jcS2JBzxxmKoEOHH4Q5syMrl8W6FDrstv048X1iGIw8VZZ95X6s7Q/9p8SAA/hWg8OAGHdvYhR6HBaW53ymlQUTGu8So+xqOyEgDpodiSdB2W5uEKSIeRWxu/qlBKh2U83n+kxbraeZpXG6VFzAd9j9FFtVhCKvbE/ARUyFWYqEaDjkoBNajBYaxzIqxDRpBE1Ks8qVd5RqfWTwfl8ko6Vd9qUdSfJ2RaaK8E0qhowV3jkLEJUGL0VgYo43M9EUocRPdX4qkXeuh/PDIfGKxX+U2HeeGJYd4hOtX/6MBPO4zPteh54cSmj1u14KcNBTsaocS/okE9TzCARLXfk3uJUOS1X6J63qNX/ZBe9b96rOb2ZKtOPZfSqThrUs9bjCATfGB4dSNyKgNtUP2jAUo8tTdR5alE9Xs9RnC5NFmvzrNe5TszRvIYmpmgtGcdE3hKvCTCCK4SJnsaUVQR7gbwtLCRuwGKfN2TCIUu6P5/dI0erpw2B1swcvCkvgWvmRG+9HnK/SpmVe+ZVH9uUtdnxIRaezQ98xrV8yEDiigBlQFWzdd+T44kYnT4+4lPVllxw4UfSFmwi7dXKQueVeWEYEaj5ZopGR5m9bzIpPo+I5S4e5YR4450qf7ii0E9zzCAzOXQ12uTVJy04jmXQ3WsKr9b0EMJmM3Y7cEVmBkkcmmCTYjt2Kr94RYm9Tqjen5l/Hd+1tU1V82VxZPBu298lyQo8dhhKybSKi56WVU+sICn3MVkM/oQO0b3Nat62oRwy+62zxub/p1nfSZUeFTcpuZ8yVDoLzoJ8f48qE+C0m7LrJjxfrnU/64FmbX5yZkFWmLnutfNKi6YUZbTGFJwIvbdGscSO4LveRBy21B/d40S2w3J4Ci/yyMZ/R/dTrgSmAQiBxLAVtUfW1W9aVHzf4t6DpYKXsXwSylqrmCHJA62JBa2g/W/Gx3V06bmxMm4vSc3KbYkBKUPImpOQv5WewdEnLCq+ZYVV+9x4+RQ/aVDndNUcJb/3TwFPJUptcKOOxkHWtYy2KDEzcVsGKQMejIIzMtUOZOEVWN48pqECmdnkvJzQKGRKAcCzx3Km1jPoeaQqYjhcZ82BQNW2lybOuzqeYld1S02nOMx3clk1bckq/44Tc2n0qBs23mHeh7hUPOpVCg/80hVz5lT8L1nXHD9bXY1x7epesmGSbPznWu4PE3N3dIw+lPQtOgSaWpfOMDd/JbZDvTil3s6oNjwoFT0q8idTgpezecC0K7OrR0fh/MDVQfa3Dg94mzpNNXvpKGHEvymqefPDvwkNmsb68CebWHT605yYNvkiA2Cq/O8emGx053SglPwP9td774=AQAAAACAAABAHwAAxQsAAA==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AQAAAACAAABAHwAAHAAAAA==eJztwQEBAAAAgJD+r+4ICgAAAAAAAAAYH0AAAQ==AQAAAACAAABAHwAAHAAAAA==eJztwQEBAAAAgJD+r+4ICgAAAAAAAAAYH0AAAQ==AQAAAACAAAAUNAAAVgoAAA==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+ </AppendedData>
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+ </VTKFile>
CylinderKnMa/Kn0p40/simulation0875_Kn0p40Ma4p4/grid/Grid_300000.pvtu ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <VTKFile type="PUnstructuredGrid" version="0.1"
3
+ byte_order="LittleEndian"
4
+ compressor="vtkZLibDataCompressor">
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+ <PUnstructuredGrid GhostLevel="0">
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+ <PCellData>
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+ <PDataArray type="Float64" Name="id"/>
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+ <PDataArray type="Float64" Name="xc"/>
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+ <PDataArray type="Float64" Name="yc"/>
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+ <PDataArray type="Float64" Name="f_1[1]"/>
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+ <PDataArray type="Float64" Name="f_1[2]"/>
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+ <PDataArray type="Float64" Name="f_1[3]"/>
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+ <PDataArray type="Float64" Name="f_1[4]"/>
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+ <PDataArray type="Float64" Name="f_1[5]"/>
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+ <PDataArray type="Float64" Name="f_1[6]"/>
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+ <PDataArray type="Float64" Name="f_1[7]"/>
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+ <PDataArray type="Float64" Name="f_1[8]"/>
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+ <PDataArray type="Float64" Name="f_1[9]"/>
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+ <PDataArray type="Float64" Name="f_1[10]"/>
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+ </PCellData>
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+ <PPoints>
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+ <PDataArray type="Float32" Name="Points" NumberOfComponents="3"/>
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+ </PPoints>
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+ <Piece Source="Grid_0_300000.vtu"/>
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+ <Piece Source="Grid_1_300000.vtu"/>
26
+ </PUnstructuredGrid>
27
+ </VTKFile>
CylinderKnMa/Kn0p40/simulation0875_Kn0p40Ma4p4/grid/final-grid.dat ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p40/simulation0875_Kn0p40Ma4p4/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 0.4
17
+ variable Ma equal 4.4
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 0.4*${L}
23
+ variable mfp equal 0.4*1
24
+ variable cpmfp equal 4
25
+ variable nden equal 1.0/sqrt(2.0)/${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}*${Kn})
29
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.4/${cpmfp}*${Kn})
30
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.4/4*${Kn})
31
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.4/4*0.4)
32
+ variable sos equal sqrt(${gamma}*${R}*${To})
33
+ variable sos equal sqrt(1.666666667*${R}*${To})
34
+ variable sos equal sqrt(1.666666667*208.242684766214*${To})
35
+ variable sos equal sqrt(1.666666667*208.242684766214*273)
36
+ variable vo equal ${Ma}*${sos}
37
+ variable vo equal 4.4*${sos}
38
+ variable vo equal 4.4*307.815564238681
39
+ variable vx equal ${vo}*cos(${theta}*2*PI/360)
40
+ variable vx equal 1354.3884826502*cos(${theta}*2*PI/360)
41
+ variable vx equal 1354.3884826502*cos(0*2*PI/360)
42
+ variable vy equal ${vo}*sin(${theta}*2*PI/360)
43
+ variable vy equal 1354.3884826502*sin(${theta}*2*PI/360)
44
+ variable vy equal 1354.3884826502*sin(0*2*PI/360)
45
+ variable ppc equal 30
46
+ variable xncells equal (${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)/0.4*${cpmfp}
50
+ variable xncells equal (6--5)/0.4*4
51
+ variable yncells equal (${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)/0.4*${cpmfp}
55
+ variable yncells equal (5--5)/0.4*4
56
+ variable Fnum equal ${nden}*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
57
+ variable Fnum equal 3.23595913252916e+19*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
58
+ variable Fnum equal 3.23595913252916e+19*(6-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
59
+ variable Fnum equal 3.23595913252916e+19*(6--5)*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
60
+ variable Fnum equal 3.23595913252916e+19*(6--5)*(5-${ymin})/${ppc}/${xncells}/${yncells}
61
+ variable Fnum equal 3.23595913252916e+19*(6--5)*(5--5)/${ppc}/${xncells}/${yncells}
62
+ variable Fnum equal 3.23595913252916e+19*(6--5)*(5--5)/30/${xncells}/${yncells}
63
+ variable Fnum equal 3.23595913252916e+19*(6--5)*(5--5)/30/110/${yncells}
64
+ variable Fnum equal 3.23595913252916e+19*(6--5)*(5--5)/30/110/100
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}/${xncells}/10/4
68
+ variable tstep equal (--5+6)/1354.3884826502/${xncells}/10/4
69
+ variable tstep equal (--5+6)/1354.3884826502/110/10/4
70
+ variable nave equal 10000
71
+ variable noutput equal 300000
72
+ clear
73
+ Running on 128 MPI task(s)
74
+ shell mkdir output
75
+ shell mkdir grid
76
+ shell mkdir surf
77
+ seed 7
78
+ dimension 2
79
+ global nrho ${nden}
80
+ global nrho 3.23595913252916e+19
81
+ global fnum ${Fnum}
82
+ global fnum 1.07865304417639e+16
83
+ timestep ${tstep}
84
+ timestep 1.84585149093126e-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 110 ${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 110 100 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 48572 child grid cells
100
+ CPU time = 0.0863085 secs
101
+ create/ghost percent = 1.30283 98.6972
102
+ balance_grid rcb cell
103
+ Balance grid migrated 48478 cells
104
+ CPU time = 0.0803555 secs
105
+ reassign/sort/migrate/ghost percent = 66.677 0.0297055 8.89486 24.3985
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 1354.3884826502 ${vy} 0.0 temp ${To}
110
+ mixture air Ar vstream 1354.3884826502 0 0.0 temp ${To}
111
+ mixture air Ar vstream 1354.3884826502 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
+ 324 0 = cells overlapping surfs, overlap cells with unmarked corner pts
121
+ 43392 4856 324 = cells outside/inside/overlapping surfs
122
+ 324 = surf cells with 1,2,etc splits
123
+ 109.215 109.215 = cell-wise and global flow volume
124
+ CPU time = 0.0888037 secs
125
+ read/check/sort/surf2grid/ghost/inout/particle percent = 24.6783 26.2602 2.98773 25.464 20.6098 6.90923 0.159576
126
+ surf2grid time = 0.0226129 secs
127
+ map/comm1/comm2/comm3/comm4/split percent = 13.6506 24.4289 3.89567 3.34086 12.0444 6.88303
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 1125 cells
133
+ CPU time = 0.0280675 secs
134
+ reassign/sort/migrate/ghost percent = 8.84187 0.0960541 30.8574 60.2047
135
+ create_particles air n 0
136
+ Created 327644 particles
137
+ CPU time = 0.0118464 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) = 1.59521 0 1.6875
143
+ grid (ave,min,max) = 2.75891 1.51379 4.32629
144
+ surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
145
+ total (ave,min,max) = 4.37473 3.22189 6.03439
146
+ Step CPU Np Natt Ncoll Nscoll Npave Nscollave
147
+ 0 0 327644 0 0 0 0 0
148
+ 10000 9.3335527 366538 5151 4452 12 348354.81 11.9325
149
+ 20000 20.70674 366994 5260 4613 8 357657.79 12.0505
150
+ 30000 31.542191 366360 5312 4584 8 360598.13 12.0731
151
+ 40000 41.966514 367094 5438 4718 9 362162.51 12.113275
152
+ 50000 52.302241 366368 5236 4499 13 363173.21 12.13242
153
+ 60000 62.524464 366673 5259 4547 13 363753.51 12.143483
154
+ 70000 73.134866 366459 5227 4498 13 364168.36 12.135857
155
+ 80000 84.092576 366170 5383 4707 7 364492.64 12.138125
156
+ 90000 94.864446 367324 5407 4679 14 364756.12 12.143867
157
+ 100000 105.17579 366898 5261 4549 14 364981.56 12.14827
158
+ 110000 115.65662 367126 5323 4598 6 365162.58 12.156291
159
+ 120000 125.69493 366795 5311 4584 16 365334.3 12.157033
160
+ 130000 137.09877 366218 5229 4535 11 365442.65 12.149585
161
+ 140000 147.32476 366255 5346 4626 12 365507.61 12.147379
162
+ 150000 158.2426 366505 5318 4637 11 365572.03 12.14916
163
+ 160000 168.14416 366910 5363 4655 10 365664.82 12.153181
164
+ 170000 178.64494 366397 5353 4598 12 365728.26 12.155024
165
+ 180000 188.9432 366651 5341 4652 20 365771.64 12.1545
166
+ 190000 200.15494 366337 5276 4557 6 365807.52 12.156584
167
+ 200000 210.74624 366224 5370 4613 16 365868.62 12.15972
168
+ Loop time of 210.747 on 128 procs for 200000 steps with 366224 particles
169
+
170
+ MPI task timing breakdown:
171
+ Section | min time | avg time | max time |%varavg| %total
172
+ ---------------------------------------------------------------
173
+ Move | 0.02269 | 8.9841 | 57.311 | 389.8 | 4.26
174
+ Coll | 0.25371 | 7.453 | 58.942 | 370.3 | 3.54
175
+ Sort | 0.091104 | 1.4694 | 9.7719 | 162.1 | 0.70
176
+ Comm | 50.831 | 84.371 | 94.646 | 92.7 | 40.03
177
+ Modify | 0.016622 | 0.1022 | 1.9524 | 89.5 | 0.05
178
+ Output | 0.006696 | 0.010407 | 0.011739 | 0.7 | 0.00
179
+ Other | | 108.4 | | | 51.42
180
+
181
+ Particle moves = 73173724390 (73.2B)
182
+ Cells touched = 76511047751 (76.5B)
183
+ Particle comms = 178370936 (178M)
184
+ Boundary collides = 0 (0K)
185
+ Boundary exits = 17278199 (17.3M)
186
+ SurfColl checks = 146586693 (147M)
187
+ SurfColl occurs = 2431944 (2.43M)
188
+ Surf reactions = 0 (0K)
189
+ Collide attempts = 1201999025 (1.2B)
190
+ Collide occurs = 943546791 (944M)
191
+ Reactions = 0 (0K)
192
+ Particles stuck = 0
193
+ Axisymm bad moves = 0
194
+
195
+ Particle-moves/CPUsec/proc: 2.71259e+06
196
+ Particle-moves/step: 365869
197
+ Cell-touches/particle/step: 1.04561
198
+ Particle comm iterations/step: 1
199
+ Particle fraction communicated: 0.00243764
200
+ Particle fraction colliding with boundary: 0
201
+ Particle fraction exiting boundary: 0.000236126
202
+ Surface-checks/particle/step: 0.00200327
203
+ Surface-collisions/particle/step: 3.32352e-05
204
+ Surf-reactions/particle/step: 0
205
+ Collision-attempts/particle/step: 0.0164266
206
+ Collisions/particle/step: 0.0128946
207
+ Reactions/particle/step: 0
208
+
209
+ Particles: 2861.12 ave 19367 max 0 min
210
+ Histogram: 84 14 7 8 5 6 0 0 2 2
211
+ Cells: 379.469 ave 380 max 379 min
212
+ Histogram: 68 0 0 0 0 0 0 0 0 60
213
+ GhostCell: 9951.02 ave 18101 max 568 min
214
+ Histogram: 18 12 12 10 14 6 6 4 14 32
215
+ EmptyCell: 219.359 ave 405 max 0 min
216
+ Histogram: 2 7 9 15 23 20 17 18 10 7
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) = 1.66113 0 3.375
245
+ grid (ave,min,max) = 2.75891 1.51379 4.32629
246
+ surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
247
+ total (ave,min,max) = 4.56829 3.34929 6.16229
248
+ Step CPU Np Natt Ncoll Nscoll Npave Nscollave
249
+ 200000 0 366224 5370 4613 0 0 0
250
+ 210000 18.265976 366777 5364 4667 16 366731.94 12.186
251
+ 220000 37.005623 366252 5267 4570 12 366588.97 12.1781
252
+ 230000 55.730019 366616 5369 4677 14 366624.53 12.178533
253
+ 240000 74.646818 366711 5336 4642 15 366619.7 12.165925
254
+ 250000 93.09592 367084 5256 4569 11 366597.29 12.16718
255
+ 260000 112.86172 366428 5278 4595 16 366638.13 12.171783
256
+ 270000 131.65623 366769 5350 4633 13 366679.12 12.171843
257
+ 280000 149.88442 366897 5337 4652 14 366694.87 12.174038
258
+ 290000 168.58233 366844 5277 4592 16 366703.74 12.179689
259
+ 300000 188.15498 367051 5308 4593 14 366745.76 12.18639
260
+ Loop time of 188.155 on 128 procs for 100000 steps with 367051 particles
261
+
262
+ MPI task timing breakdown:
263
+ Section | min time | avg time | max time |%varavg| %total
264
+ ---------------------------------------------------------------
265
+ Move | 0.01151 | 4.5277 | 29.03 | 276.3 | 2.41
266
+ Coll | 0.12709 | 3.7577 | 29.998 | 264.2 | 2.00
267
+ Sort | 0.050825 | 0.74539 | 4.9305 | 114.6 | 0.40
268
+ Comm | 29.25 | 45.852 | 51.021 | 61.9 | 24.37
269
+ Modify | 1.7778 | 12.595 | 75.181 | 426.8 | 6.69
270
+ Output | 0.034359 | 0.047033 | 0.056796 | 4.1 | 0.02
271
+ Other | | 120.6 | | | 64.11
272
+
273
+ Particle moves = 36674575917 (36.7B)
274
+ Cells touched = 38346139826 (38.3B)
275
+ Particle comms = 89324557 (89.3M)
276
+ Boundary collides = 0 (0K)
277
+ Boundary exits = 8657896 (8.66M)
278
+ SurfColl checks = 73405521 (73.4M)
279
+ SurfColl occurs = 1218639 (1.22M)
280
+ Surf reactions = 0 (0K)
281
+ Collide attempts = 604952489 (605M)
282
+ Collide occurs = 474832847 (475M)
283
+ Reactions = 0 (0K)
284
+ Particles stuck = 0
285
+ Axisymm bad moves = 0
286
+
287
+ Particle-moves/CPUsec/proc: 1.52279e+06
288
+ Particle-moves/step: 366746
289
+ Cell-touches/particle/step: 1.04558
290
+ Particle comm iterations/step: 1
291
+ Particle fraction communicated: 0.0024356
292
+ Particle fraction colliding with boundary: 0
293
+ Particle fraction exiting boundary: 0.000236074
294
+ Surface-checks/particle/step: 0.00200154
295
+ Surface-collisions/particle/step: 3.32284e-05
296
+ Surf-reactions/particle/step: 0
297
+ Collision-attempts/particle/step: 0.0164951
298
+ Collisions/particle/step: 0.0129472
299
+ Reactions/particle/step: 0
300
+
301
+ Particles: 2867.59 ave 19503 max 0 min
302
+ Histogram: 84 14 6 9 5 6 0 0 2 2
303
+ Cells: 379.469 ave 380 max 379 min
304
+ Histogram: 68 0 0 0 0 0 0 0 0 60
305
+ GhostCell: 9951.02 ave 18101 max 568 min
306
+ Histogram: 18 12 12 10 14 6 6 4 14 32
307
+ EmptyCell: 219.359 ave 405 max 0 min
308
+ Histogram: 2 7 9 15 23 20 17 18 10 7
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 = 48572
315
+ CPU time = 0.00695589 secs
316
+ write_surf surf/geom.surf
317
+ surf elements = 200
318
+ CPU time = 0.00149491 secs
CylinderKnMa/Kn0p40/simulation0875_Kn0p40Ma4p4/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/Kn0p40/simulation0875_Kn0p40Ma4p4/output/grid.300000.dat ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p40/simulation0875_Kn0p40Ma4p4/output/lambdakn.300000.dat ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p40/simulation0875_Kn0p40Ma4p4/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 0.00192 0.032563 -0.032559 0.00051148 -8.7503e-07 -5.5702e-05 -0.00051143 7.159e-06 5.4967 0 0
11
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CylinderKnMa/Kn0p40/simulation0875_Kn0p40Ma4p4/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/Kn0p40/simulation0875_Kn0p40Ma4p4/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/Kn0p40/simulation0875_Kn0p40Ma4p4/slurm-28428958.out ADDED
@@ -0,0 +1,200 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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 48572 child grid cells
6
+ CPU time = 0.0863085 secs
7
+ create/ghost percent = 1.30283 98.6972
8
+ Balance grid migrated 48478 cells
9
+ CPU time = 0.0803555 secs
10
+ reassign/sort/migrate/ghost percent = 66.677 0.0297055 8.89486 24.3985
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
+ 324 0 = cells overlapping surfs, overlap cells with unmarked corner pts
18
+ 43392 4856 324 = cells outside/inside/overlapping surfs
19
+ 324 = surf cells with 1,2,etc splits
20
+ 109.214731023047 109.214731023047 = cell-wise and global flow volume
21
+ CPU time = 0.0888037 secs
22
+ read/check/sort/surf2grid/ghost/inout/particle percent = 24.6783 26.2602 2.98773 25.464 20.6098 6.90923 0.159576
23
+ surf2grid time = 0.0226129 secs
24
+ map/comm1/comm2/comm3/comm4/split percent = 13.6506 24.4289 3.89567 3.34086 12.0444 6.88303
25
+ Balance grid migrated 1125 cells
26
+ CPU time = 0.0280675 secs
27
+ reassign/sort/migrate/ghost percent = 8.84187 0.0960541 30.8574 60.2047
28
+ Creating particles ...
29
+ Created 327644 particles
30
+ CPU time = 0.0118464 secs
31
+ Memory usage per proc in Mbytes:
32
+ particles (ave,min,max) = 1.59521 0 1.6875
33
+ grid (ave,min,max) = 2.75891 1.51379 4.32629
34
+ surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
35
+ total (ave,min,max) = 4.37473 3.22189 6.03439
36
+ Step CPU Np Natt Ncoll Nscoll Npave Nscollave
37
+ 0 0 327644 0 0 0 0 0
38
+ 10000 9.3335527 366538 5151 4452 12 348354.81 11.9325
39
+ 20000 20.70674 366994 5260 4613 8 357657.79 12.0505
40
+ 30000 31.542191 366360 5312 4584 8 360598.13 12.0731
41
+ 40000 41.966514 367094 5438 4718 9 362162.51 12.113275
42
+ 50000 52.302241 366368 5236 4499 13 363173.21 12.13242
43
+ 60000 62.524464 366673 5259 4547 13 363753.51 12.143483
44
+ 70000 73.134866 366459 5227 4498 13 364168.36 12.135857
45
+ 80000 84.092576 366170 5383 4707 7 364492.64 12.138125
46
+ 90000 94.864446 367324 5407 4679 14 364756.12 12.143867
47
+ 100000 105.17579 366898 5261 4549 14 364981.56 12.14827
48
+ 110000 115.65662 367126 5323 4598 6 365162.58 12.156291
49
+ 120000 125.69493 366795 5311 4584 16 365334.3 12.157033
50
+ 130000 137.09877 366218 5229 4535 11 365442.65 12.149585
51
+ 140000 147.32476 366255 5346 4626 12 365507.61 12.147379
52
+ 150000 158.2426 366505 5318 4637 11 365572.03 12.14916
53
+ 160000 168.14416 366910 5363 4655 10 365664.82 12.153181
54
+ 170000 178.64494 366397 5353 4598 12 365728.26 12.155024
55
+ 180000 188.9432 366651 5341 4652 20 365771.64 12.1545
56
+ 190000 200.15494 366337 5276 4557 6 365807.52 12.156584
57
+ 200000 210.74624 366224 5370 4613 16 365868.62 12.15972
58
+ Loop time of 210.747 on 128 procs for 200000 steps with 366224 particles
59
+
60
+ MPI task timing breakdown:
61
+ Section | min time | avg time | max time |%varavg| %total
62
+ ---------------------------------------------------------------
63
+ Move | 0.02269 | 8.9841 | 57.311 | 389.8 | 4.26
64
+ Coll | 0.25371 | 7.453 | 58.942 | 370.3 | 3.54
65
+ Sort | 0.091104 | 1.4694 | 9.7719 | 162.1 | 0.70
66
+ Comm | 50.831 | 84.371 | 94.646 | 92.7 | 40.03
67
+ Modify | 0.016622 | 0.1022 | 1.9524 | 89.5 | 0.05
68
+ Output | 0.006696 | 0.010407 | 0.011739 | 0.7 | 0.00
69
+ Other | | 108.4 | | | 51.42
70
+
71
+ Particle moves = 73173724390 (73.2B)
72
+ Cells touched = 76511047751 (76.5B)
73
+ Particle comms = 178370936 (178M)
74
+ Boundary collides = 0 (0K)
75
+ Boundary exits = 17278199 (17.3M)
76
+ SurfColl checks = 146586693 (147M)
77
+ SurfColl occurs = 2431944 (2.43M)
78
+ Surf reactions = 0 (0K)
79
+ Collide attempts = 1201999025 (1.2B)
80
+ Collide occurs = 943546791 (944M)
81
+ Gas reactions = 0 (0K)
82
+ Particles stuck = 0
83
+ Axisymm bad moves = 0
84
+
85
+ Particle-moves/CPUsec/proc: 2.71259e+06
86
+ Particle-moves/step: 365869
87
+ Cell-touches/particle/step: 1.04561
88
+ Particle comm iterations/step: 1
89
+ Particle fraction communicated: 0.00243764
90
+ Particle fraction colliding with boundary: 0
91
+ Particle fraction exiting boundary: 0.000236126
92
+ Surface-checks/particle/step: 0.00200327
93
+ Surface-collisions/particle/step: 3.32352e-05
94
+ Surface-reactions/particle/step: 0
95
+ Collision-attempts/particle/step: 0.0164266
96
+ Collisions/particle/step: 0.0128946
97
+ Gas-reactions/particle/step: 0
98
+
99
+ Particles: 2861.12 ave 19367 max 0 min
100
+ Histogram: 84 14 7 8 5 6 0 0 2 2
101
+ Cells: 379.469 ave 380 max 379 min
102
+ Histogram: 68 0 0 0 0 0 0 0 0 60
103
+ GhostCell: 9951.02 ave 18101 max 568 min
104
+ Histogram: 18 12 12 10 14 6 6 4 14 32
105
+ EmptyCell: 219.359 ave 405 max 0 min
106
+ Histogram: 2 7 9 15 23 20 17 18 10 7
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) = 1.66113 0 3.375
113
+ grid (ave,min,max) = 2.75891 1.51379 4.32629
114
+ surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
115
+ total (ave,min,max) = 4.56829 3.34929 6.16229
116
+ Step CPU Np Natt Ncoll Nscoll Npave Nscollave
117
+ 200000 0 366224 5370 4613 0 0 0
118
+ 210000 18.265976 366777 5364 4667 16 366731.94 12.186
119
+ 220000 37.005623 366252 5267 4570 12 366588.97 12.1781
120
+ 230000 55.730019 366616 5369 4677 14 366624.53 12.178533
121
+ 240000 74.646818 366711 5336 4642 15 366619.7 12.165925
122
+ 250000 93.09592 367084 5256 4569 11 366597.29 12.16718
123
+ 260000 112.86172 366428 5278 4595 16 366638.13 12.171783
124
+ 270000 131.65623 366769 5350 4633 13 366679.12 12.171843
125
+ 280000 149.88442 366897 5337 4652 14 366694.87 12.174038
126
+ 290000 168.58233 366844 5277 4592 16 366703.74 12.179689
127
+ 300000 188.15498 367051 5308 4593 14 366745.76 12.18639
128
+ Loop time of 188.155 on 128 procs for 100000 steps with 367051 particles
129
+
130
+ MPI task timing breakdown:
131
+ Section | min time | avg time | max time |%varavg| %total
132
+ ---------------------------------------------------------------
133
+ Move | 0.01151 | 4.5277 | 29.03 | 276.3 | 2.41
134
+ Coll | 0.12709 | 3.7577 | 29.998 | 264.2 | 2.00
135
+ Sort | 0.050825 | 0.74539 | 4.9305 | 114.6 | 0.40
136
+ Comm | 29.25 | 45.852 | 51.021 | 61.9 | 24.37
137
+ Modify | 1.7778 | 12.595 | 75.181 | 426.8 | 6.69
138
+ Output | 0.034359 | 0.047033 | 0.056796 | 4.1 | 0.02
139
+ Other | | 120.6 | | | 64.11
140
+
141
+ Particle moves = 36674575917 (36.7B)
142
+ Cells touched = 38346139826 (38.3B)
143
+ Particle comms = 89324557 (89.3M)
144
+ Boundary collides = 0 (0K)
145
+ Boundary exits = 8657896 (8.66M)
146
+ SurfColl checks = 73405521 (73.4M)
147
+ SurfColl occurs = 1218639 (1.22M)
148
+ Surf reactions = 0 (0K)
149
+ Collide attempts = 604952489 (605M)
150
+ Collide occurs = 474832847 (475M)
151
+ Gas reactions = 0 (0K)
152
+ Particles stuck = 0
153
+ Axisymm bad moves = 0
154
+
155
+ Particle-moves/CPUsec/proc: 1.52279e+06
156
+ Particle-moves/step: 366746
157
+ Cell-touches/particle/step: 1.04558
158
+ Particle comm iterations/step: 1
159
+ Particle fraction communicated: 0.0024356
160
+ Particle fraction colliding with boundary: 0
161
+ Particle fraction exiting boundary: 0.000236074
162
+ Surface-checks/particle/step: 0.00200154
163
+ Surface-collisions/particle/step: 3.32284e-05
164
+ Surface-reactions/particle/step: 0
165
+ Collision-attempts/particle/step: 0.0164951
166
+ Collisions/particle/step: 0.0129472
167
+ Gas-reactions/particle/step: 0
168
+
169
+ Particles: 2867.59 ave 19503 max 0 min
170
+ Histogram: 84 14 6 9 5 6 0 0 2 2
171
+ Cells: 379.469 ave 380 max 379 min
172
+ Histogram: 68 0 0 0 0 0 0 0 0 60
173
+ GhostCell: 9951.02 ave 18101 max 568 min
174
+ Histogram: 18 12 12 10 14 6 6 4 14 32
175
+ EmptyCell: 219.359 ave 405 max 0 min
176
+ Histogram: 2 7 9 15 23 20 17 18 10 7
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 = 48572
183
+ CPU time = 0.00695589 secs
184
+ Writing surface file ...
185
+ surf elements = 200
186
+ CPU time = 0.00149491 secs
187
+ Processing 2 grid chunk(s).
188
+ Completed grid chunk number: 1
189
+ Completed grid chunk number: 0
190
+
191
+ Done in 0:00:08 (wall clock time)
192
+
193
+ Processing 2 grid chunk(s).
194
+ Completed grid chunk number: 1
195
+ Completed grid chunk number: 0
196
+
197
+ Done in 0:00:08 (wall clock time)
198
+
199
+ Processing SPARTA surface information.
200
+ Processing dump result file: ['./output/surf.300000.dat']
CylinderKnMa/Kn0p40/simulation0875_Kn0p40Ma4p4/surf/Surf_300000.vtu ADDED
@@ -0,0 +1,38 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ <?xml version="1.0"?>
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+ <UnstructuredGrid>
4
+ <Piece NumberOfPoints="400" NumberOfCells="200" >
5
+ <PointData>
6
+ </PointData>
7
+ <CellData>
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+ <DataArray type="Float64" Name="id" format="appended" RangeMin="1" RangeMax="200" offset="0" />
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+ <DataArray type="Float64" Name="v1x" format="appended" RangeMin="-0.5" RangeMax="0.5" offset="432" />
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+ <DataArray type="Float64" Name="v1y" format="appended" RangeMin="-0.5" RangeMax="0.5" offset="1468" />
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+ <DataArray type="Float64" Name="v2x" format="appended" RangeMin="-0.5" RangeMax="0.5" offset="2476" />
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+ <DataArray type="Float64" Name="v2y" format="appended" RangeMin="-0.5" RangeMax="0.5" offset="3508" />
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+ <DataArray type="Float64" Name="f_2[1]" format="appended" RangeMin="0.00133" RangeMax="0.19694" offset="4512" />
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+ <DataArray type="Float64" Name="f_2[2]" format="appended" RangeMin="0.019704" RangeMax="3.6905" offset="6448" />
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+ <DataArray type="Float64" Name="f_2[3]" format="appended" RangeMin="-0.060843" RangeMax="3.6864" offset="8464" />
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+ <DataArray type="Float64" Name="f_2[4]" format="appended" RangeMin="-1.5792" RangeMax="1.5618" offset="10580" />
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+ <DataArray type="Float64" Name="f_2[5]" format="appended" RangeMin="-0.00012957" RangeMax="0.34936" offset="12656" />
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+ <DataArray type="Float64" Name="f_2[6]" format="appended" RangeMin="-0.31875" RangeMax="0.31892" offset="14760" />
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+ <DataArray type="Float64" Name="f_2[7]" format="appended" RangeMin="-0.00051143" RangeMax="0.057934" offset="16888" />
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+ <DataArray type="Float64" Name="f_2[8]" format="appended" RangeMin="-0.020122" RangeMax="0.019801" offset="19032" />
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+ <DataArray type="Float64" Name="f_2[9]" format="appended" RangeMin="2.0404" RangeMax="814.28" offset="21176" />
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+ <DataArray type="Float64" Name="f_2[11]" format="appended" RangeMin="0" RangeMax="0" offset="22736" />
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+ </CellData>
25
+ <Points>
26
+ <DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="0.49999998503" RangeMax="0.50000001255" offset="22788" />
27
+ </Points>
28
+ <Cells>
29
+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="24116" />
30
+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="25020" />
31
+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="25512" />
32
+ </Cells>
33
+ </Piece>
34
+ </UnstructuredGrid>
35
+ <AppendedData encoding="base64">
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AQAAAACAAABABgAA1gUAAA==eJw9VHk81GkYNzlnzJDIluQqKaVGqu3i+y66a4rPVooO2q2VK4ulc7MtNunYhJkxGEckVKaUXAkd0sgRcoRyV45ENDr2N5PPvv+9z+d9nuf7/T7f510Qqjc6JV2I58fl7KOX8lCzw+zGI1s+1izjbjrpzEPsUfUoXX8+OEdaRhssouGTM2/WEv0oZBRXbs3JjYXxjAPOm1cIUBPQM8tcRQDf1Zc+Ku3hYvUqAUdUE4Exv5QVm1dG4drA/B/ex3D/r189GrT9IhV/XBUy/4oXD9diw5t/LIiEpEbXgJsYhZtVSVq+R3nYN8DujR6LhtjHtmBDajTclbINHCPjoMttmi2qFUKUl6bHVo9HYGWH+NXOy5i4siDfrSIF9GT+jg20VPDLOUprStMwnB/cmh2Whk7fHRvdrUSIlise7GoUwdBoca8LPwt6SSmPDV/fxkWnrzaS3lxMp1A86s+HKMhA2fhpIZ7tr+k6OLcIcw77naPVF2PTRD/9k88fIuCWd8nOY09Qu0zpl+v+ZchMmf6Vny5GtoPdKdcpFWDE1L0wvlqJece7/5JEVuNQ+T9Vza01WNh5zbj91AuUNWpwVHc3YLq8qC4XTahaHO51+24LlN9+0+0sa4W0ipXRa2jhYVPW321w8Dm595xeB77EFR87TOuEYuLF5bRN3Wi8J6IUe4NIw3N+3tPewSW+dlH/0j5c4Oz6NO9ZPzqcpYEBeAUqPDhvPoixsr7SYusPSGopUBNYDMHOje8vSBge5zmCEusM12bvUYQ1/ibnFfgJ+/p2Wlt1SyCa75lIy/uM/bLzdTz+Fa1mF4Sj5nJkVvupWLEpjSz0NzPUH6IR9sZkxmrjCSTm5KyiYBN5Ims/Ik9kMpxRIAu3sk1TNRXJzuG7DaFfFMnQl+cBPclKZO8fm/W0DyoTx8x772LzlEnSIUtGXaIKEa/gVP7rRCey5x10YiSle5ZBXvdEiJjvGUTNTBTTb6JKusZS31eJVQnVjULCJAFHLs+zETBJ2xKdQkcDFintoKhbsYis/RYWMV1+sezPtSwi1FnwcmYwi8SPmlMTYhH7dRRyaxYJPdc+qG/PIrpvX1MVmIRIhdNlkclh698o3GKSPN/wKQq1TNKQLnHyWMX8zjdFlbCkwgRQeMJm97IKGGQ9c8LckEgG0XiUk302mEGu7v3Z3kRIJ4t356xjTqCP56kQSmTFSVoqJFB63a78Hb+uMhm8scWNP6JIPqn33Ll+SpHkZp9VGohUINV5bVrTS+XJJ+GBm2985MkItYQbIyaQSTLj0L7zKJIb5y1HUpM4RNP5G/6stzzscOULpipso6T7DJ+6SYM/PZNASmuRhgTudGnFUcw+EXbXjT4CWX7BMGxdvQaCSofwcqZSYITNB6gVsHmmUwbHffEeAX2WTr839ePEwyB5wx19kOlc8RbZMwTaed09WKvNDnT074afuD3aw7MTFiWZlLPakZx99V2uURuctn7cpfH5FdaWXFqbENUK07aWA05Lm0Ety9DkpEY8dXH54O3RAHiZ2ju718HcWrqJtajy2qNcPrUaIQkk7nF4FWSwIipw7cUeylHl4/4vwx1VsZ+OaynOJN8Mv2/3EMrV7GO2Gx9AUqE4bOZTBIM5RsWmzYUwyfc61svLh2/WZGpl7gI0rRkbOrOhOeA2k16UhdkDHCvL21m4opOvI1x0Aw/S0j1CH2Wgvb7DUb82DTqehV0hGldRx7ZpO22QjIp9lw7sVkvE5yUlAeK0BNBP3zoLu3jIvpW3MeAImvq3aAmhWhW2qrqeh9sJYm9PzVhQ06Ssxse6uQXxA/V8MDRX3xQd50Jje3nzVI8IRNqcce8a42G0uUWYL+FiYtl+tXVml2Db8vLJpJgIzFHRa2lezEV7nXrm/SIeXEueWp23i4W2ZO/UaTk8mMTpNS5sFcBpm7NFoSIPGaGHwu1+5UI71BcpBnGgS1QtXYYEYNcH3HjgGQeHDuuOPWXR+A+G6/K5AQAAAACAAABABgAAIQYAAA==eJwllHk4FHgYxx1jGGN40jXb6i4qzxRKjsrvJ1RSusTStJEckWxP5doc6yw0acacGkYYjCldkla9wghbNsdWEnKMJaUUtYPJjnr/fJ/3/T7v+/m+zxub6FPFLBHB5rUSJ0dzPjgq4ucZmgmgj2GloNnywTr777io9QKI4Kb95/pEAFu1UuY75nNgV7rfxMpeIQw0WGpZbMqCraT1IdONAjicErTzlj4XJqIe+lecyARZPdOGE86GfucWS1YoB1J2HxvQ4HKh1eyc464LmXA2M6GdQOWArK6SYX2MBZwtpBNNj1gwmVFOV77MhE6T7epXvTmwnrrcMInDBu6ZmQYetAkGFhYO8iB83deGfXE8UHf90Ku8JwS3tPNHPxFFQOP7RnpsEcG4L2vq/JFccFvUqZOWKoJkjbsJsybzwVc/nuFelg/RT7QJtiwxzOqzLH0rFQNDOmVBXS4Bv+65j6bdJXBz3/NQY3EJeGXVffF6VgI30imd7wyksDuRsqc08xr0pfu4PjMuhSPe7qtalFIIjFz0WlhWAjFy+6hUIwmMfllC6HcpgtrbhJ/U54rB3jHolWxDHvhYcm5srMuGpm+4IqSbBb6pq173+J0D+dUyZXJ/LKpgnJLJ9vHRGFXO59aIkceIln/SspvowMrGrv1N5ej1WADa7/gQJVQ15jrdrUFlbl2M37zq0ZEW6rU8yVPk4pls/VzWjHQGBkd/z2pDRX3mmuzRF4jcku7U2t6BzIdle13vdKOdqwe/MOt6kNzxT93VqB/tYmwqSBgfQCuJf7Ad0oaQMqfmXKT6O1TrdU43bnQE1YVsiCvHo6j25tqTeeqfUfeei9yThmPo6ZOZGEdBXadSGf1fUWtl35yFDQq0Y+8U9fSLCSS7ZB5OW6pE5DJx5OPV06jRYkZBDf9ic6c+zE4dF+e74tk+GphB/Dhvx15N7P+13yfXnYCbL9O/OUwQ8M+UN7SMJUTMKo7f57xQGw+2Syfo77UxbenisRPPdfDQjrXTS6NJuEMRE1Q5RsI9ZFVlsy42MdeRGnmRcVDlGRaVoIc3lth5HLqphy3CZzr18AV7b/mzZRQc+gdBNSIFM/+K3QHRFJzc4PaoaIUq/zGpwc2egqOR5a/3nSm4teuNSlkPS9M6AtU+6GGSQhRwO0gPm1LZbaRAPdwQ9jBnQSkZVx1aYj/ap4vdo6/fPRqriy9Vj6+iXyJhYZxxdbIJCR80W1M8+5kOPrTVTrWKNuadNFRZScSvt2lGkFcQscEMqO1amHZL+KFwGwHPuBlyRxPTvwtpYAej4d6NAnXsrFpbGaaG95uILtzo+YbWda5QOadEM1jcoyfRpf5Pi1tCFajgwaP5xge+Is/55c1qXePoB+8xdMdzvOJV6ifEnc6ImbQdRR3rXTTa2kaQu+nsmOKcd4ixCMqH/h5CweWHA6+3DiDvxcL7nzz7UZnS1HT3zl704967UYgNt1dyqwPxjk96uAteouD4okm1/DZ0NEBX+OJlM4r6Dv4pSld9kSjzeqRv0VDv+bIGOWQkGPq/eohMEvXvJzqUI1T8ZSjiyQ1Ea6ndVMUSo+/javBRrI3+/Dk+Majsru3O0IbfoeLb4RybYRZ89szWDg8QQvWkhF40lQeakWGK5ykFEPzPddLxi8UwHe6Y9HZAAshqg1/hYilU2dmeld+WQuucmY9xDdLmiUIsh6VAJlEPdxldByaiRoxskcKgof4DWU0JZKzLja8hS+DMSNiDDU5FQKQoZ9OlRSC6SLcqqBSDIsmDuflFIVSr6GrlXQUD35Zul55cKJ5gN6UE5MKCudbtxBERZPw3N/hevRCaFlSWNiYJIK/RbITYLID3zt6n9bP54GDt386q4kD5qtv2xj/xQb5mHqyWZoJ9W7Ta/iwedD1uNvJUsMHXwWpSU86BhHW7xLrb2NB08LPR5Q9MeJNMLY08yAUD78tHUC0Hli4XVc/KZ4Jss+lxmVUmFPXW0Qb+5YA8JuUqzuFBXDZRj2knBFenNek0Ah+8Fz42YG+7AgUu00w3MQ8UgafqzEx4QI5Ntgr+mA3340NqWZ1X4ELE8FSHXw400wsvcxqz4H9cUyscAQAAAACAAABABgAAAQYAAA==eJwlU3k81HsUTYtIRejzxGgdJT2VnsorXCHpWVq0RyUfJBJJ+ZQ1Iy0zEg2RejI1Pk2GTFmS5kpMFJGl8GpMjGUszRhm5teC13D/vfd7z/mec27+zzxxerkNjA9k2W2e6gbrzLLnS8KPgepJqpmGow/UPJGTRptOgYq9hr59wRmo4KmS3F6dgd7Rtr0MTji4L94y5FUTAery6avNw6NBv0HqIkyOApMjBgKL9kgIn2VkkV4VAyuf5fx8Y0uBAobFNkPDeFDUjjZ3cuPg4E69W37mV8H1efkL94p4aD6nE944chU28lzD1F1pwDNLsrKtTYT+65TCDKebsF3q3h4fewse8Ci3nVgpMKCo2LSXmwoOKTX5pY/vwY+o5pvL7t6HFtOpXhHTGGDDLPALyHsIWUY3srtmMiFNdtx4RRsbVFs54R6X88CP1Hfe058DnSyO+JrgKXTPaNmWnVsMo6/KQsRfSyB0arqawT0u2PudlsRVl8Ges+TU8cRySE9TViVY3NdSid9ZDW+vnpu/O/ItpFZWdHe21UDmurEIXlwdfNKWbqnz+QDOOw50qHg3AjtQljHCbQbasz38hKAWmMdqGojZ1wabWemL+6w/w8p3Wm9KitvhUg//tdEbAXwR79Tt1ekA07AP+xN9OqEpvdswu1cIh7QzmSnsLrBpvbWq9F0P2OiFfbNyFwFQtRaeIvVDOYO27GPHAMzlrk0z0fsG1Qk0m9JcMYRMEJLABAxtCFyGE9zOkqWwKK5/V/HCYejcoF92ePEIOO78pRfyaQSCjs58v2CXDL5riorypsnB1rq3NeeHHDTIxpHU5wpgXdq1/W60AnTr7VskIwqYa8q5K84mQOS4enzJKAGqMXS76wEEBL2/0sAXEFDSdm3UW0FAH50zOziHgBoPp6qZVgSsdWbOcjAiQM3qzt5/HyvgQTt3bsZfCjC1I/V3bJBD7ravF3RzZWBY3fW7NwI/Nyk3DkNbzg/3U5VS+J7p+7QvZAjGw/IOpUnEIMnKW1x7YBAIf46DlX0fxKlZUEzW98AqfpWldKYQLgg1Ve9dFABZ43YZ+0UruMFpk92eDcA7ZR5dZMODlpImtVFnNpA4MWfz/djo+bpxlfcCHvaPk7rfaTRg6OOeBwpaK1o/Jdu4mApQd6lAi9XUiWwGSz3rWzcymxOL3zSIMDFW26dtbAAn+Ymx0eW41oG/h5CWGqgdWybFpaPyUEHGME7YRB/BDY+t9x/Ol2HUxAfluMHy5e6UJQqMVcq8nMBEs/OmSxYR2EM1HpzDJXDSBwLPCTLmPXxJIEYYWvjaf8crXh6fHaZ9x38uxq5xZhI4ATOPwOYw0XIzNQLp3soJBU7qrkB+8LUEoVSOXZ73P5qLZTiZdxlW3X6RkqgpQ+VU6NQRjHZUIgzjcmHsvVqWFNl+ypdD+LFSKZwEfSaAJUjQ8qyekr9hRf7qQIbKIO6w0fktYR9SCdeaC2Yi5J70Ll8j68E5CUn7e/S6cdGJGZdzAoWoyMsxXzmjE3MbHZ26Br9iufIMkwQYE+aBxzbyMUBpJ+M/1DYzSur1bsOIlJ5XXw5+wjFvhfA3dVxZv0JKFjXgDEbSJhWXBhQ10euklvU4O/nR76TWYv2gEe3DprcoNjh60Wd7FZ7T93tUaliJ71l1zfsGXqPaed/BQo1XOBEzLhfjbKeTbOklmBGvc9u1vxDDHQl+e2YBkjRmxa6jcdDBuPAS04iDqVQv8kUKC7UsuS/967Mx3y1Hn/L8IVKGH3nRGxhoVbzZv8gjE7OrqUX0I3fQsGZ52ZNfaci0tdResyMVL1jEiJ4FJmOFunN2qMEtdL0TrJ816wbqqjPTDzrdxC0a6noefCrSt3r+sVWTimtNHunU219BuyB3nsscCgb0+kRlfr6McQOltNoECpYVBPKTOyJRM3n+CdKNSJQa0yWUI1FYedg27b5zJBr09tsZT4nG0wXDWQaqYbh6rHCFY8B5ZPlmfPVcH4zqU0TywSh/jC/Scwlz80eh9raFV/48jsPdQWz5k/2YnBLtqpBsxv8Bic9c/A==AQAAAACAAABABgAAFgYAAA==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AQAAAACAAABABgAAKAYAAA==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AQAAAACAAABABgAANAYAAA==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AQAAAACAAABABgAANQYAAA==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AQAAAACAAABABgAAWQQAAA==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eJxjYBgFo2AUjIJRMApIBwAGQAABAQAAAACAAABABgAAFQAAAA==eJxjYBgFo2AUjIJRMApIBwAGQAABAQAAAACAAADAEgAA0gMAAA==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AQAAAACAAABABgAAXwEAAA==eJwtxVFEHAAAANBKkpzkJEmSJMlJkiRJkiRJkiQnSXKSJEmSJEmSJEmSZGYmmUmSJEmSJEkyMzOTzCRJkmT20Xs/LybqXazjHO8EB5zoJAed7BSnOs3pznCms5ztHOc6zyHnu8CFLnKxS1zqMpe7wpWucrVrXOs617vBjW5ys1vc6rDb3O4Od7rLEXe7x73uc78HPOghD3vEox7zuCc86SlPe8aznvO8F7zoJS97xate8wd/9Cd/9ro3/MVfvektb3vHu97zvg986CMf+8SnPvO5L3zpK1/7m7/7h3/6l3/7xrf+47++870f/OgnP/vFr37zP0dFvxfjWMc53gkOONFJDjrZKU51mtOd4UxnOds5znWeQ853gQtd5GKXuNRlLneFK13late41nWud4Mb3eRmt7jVYbe53R3udJcj7naPe93nfg940EMe9ohHPeZxT3jSU572jGc95/9sSVRSAQAAAACAAADIAAAADAAAAA==eJxjZh4eAADsVAJZ
37
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38
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_AQAAAACAAABAHwAAfQYAAA==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AQAAAACAAABAHwAAWwAAAA==eJztzFsNgEAMAEFE3EPIGagaPIEm8ER6qQmS2e/NrJW1uK+sxbHrce56vE/WY29r1Dfqm/XN+mZ9PB6Px+PxeDwej8fj8Xg8Ho/H4/F4PB6Px+P9y/sAGEenJw==AQAAAACAAABAHwAAggEAAA==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AQAAAACAAABAHwAARhwAAA==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AQAAAACAAABAHwAAIhgAAA==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AQAAAACAAAAUNAAAVgoAAA==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AQAAAACAAABAHwAAWAUAAA==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eJzj5BwFo2AUDHcAAMOYIyk=
26
+ </AppendedData>
27
+ </VTKFile>
CylinderKnMa/Kn0p40/simulation0876_Kn0p40Ma4p5/Lambda/Lambda_300000.pvtu ADDED
@@ -0,0 +1,19 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <VTKFile type="PUnstructuredGrid" version="0.1"
3
+ byte_order="LittleEndian"
4
+ compressor="vtkZLibDataCompressor">
5
+ <PUnstructuredGrid GhostLevel="0">
6
+ <PCellData>
7
+ <PDataArray type="Float64" Name="id"/>
8
+ <PDataArray type="Float64" Name="xc"/>
9
+ <PDataArray type="Float64" Name="yc"/>
10
+ <PDataArray type="Float64" Name="c_6[1]"/>
11
+ <PDataArray type="Float64" Name="c_6[2]"/>
12
+ </PCellData>
13
+ <PPoints>
14
+ <PDataArray type="Float32" Name="Points" NumberOfComponents="3"/>
15
+ </PPoints>
16
+ <Piece Source="Lambda_0_300000.vtu"/>
17
+ <Piece Source="Lambda_1_300000.vtu"/>
18
+ </PUnstructuredGrid>
19
+ </VTKFile>
CylinderKnMa/Kn0p40/simulation0876_Kn0p40Ma4p5/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/Kn0p40/simulation0876_Kn0p40Ma4p5/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 0.4
13
+ variable Ma equal 4.5
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/Kn0p40/simulation0876_Kn0p40Ma4p5/cylinder.surf ADDED
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CylinderKnMa/Kn0p40/simulation0876_Kn0p40Ma4p5/gas.species ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Species data
2
+
3
+ # species name
4
+ # molecular weight (atomic mass units, e.g. 16 for oxygen)
5
+ # molecular mass (kg)
6
+ # rotational degrees of freedom (integer, unitless)
7
+ # inverse rotational relaxtion number (unitless)
8
+ # vibrational degrees of freedom (integer, unitless)
9
+ # inverse vibrational relaxation number (unitless)
10
+ # vibrational temperature (K)
11
+ # species weight (unitless)
12
+ # multiple of electon charge (1 for a proton)
13
+
14
+ Ar 39.95 6.63E-26 0 0.0 0 0.0 0.0 1.0 0.0
CylinderKnMa/Kn0p40/simulation0876_Kn0p40Ma4p5/gas.vhs ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ # VHS collision model parameters for each species
2
+
3
+ # species name
4
+ # diameter (m)
5
+ # omega (unitless)
6
+ # tref (referenced temperature)
7
+ # alpha (unitless)
8
+
9
+ Ar 4.17e-10 0.81 273 1.0
CylinderKnMa/Kn0p40/simulation0876_Kn0p40Ma4p5/grid/Grid_0_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p40/simulation0876_Kn0p40Ma4p5/grid/Grid_1_300000.vtu ADDED
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AQAAAACAAABAHwAAaxwAAA==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AQAAAACAAABAHwAAAgoAAA==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AQAAAACAAABAHwAAkhgAAA==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AQAAAACAAABAHwAAwhcAAA==eJxFWWVYVFsUtcUubEHswMYCxQV2i4Vd2IEiFqggBoqBgdidKAaIoiDYdWNguokZExW7++1zvb7hz3xMnHti71WnQnX/dz2f5qL6s3ld6xSyI29dhdvHou048SU6wfuiHReLj15Z54wdiTUvNxfm2OE79eePTaXs6FS9VoOETBtGt1wbfHScDbcHv39Rq7ANI7dOa7Y3045Rc2e2q//ajufdququKOxY3r3/+vpL7ch+4+ecV8mORs51beXjbUiInRo1mX6/Pvmrc4FHubi3pfWS5nVyUbbv7pk/RuTgecPWTmdrPcT68T0vZGnsmNqeq19vuh3NuxS9GVLMjsE0WmiMDfOaDpk0p44NBSulLOowKBe3turPHdyeg04PIvI/vc7G4kGuVWYNyEaripbgFvfs+BE6dFvJyXZ8mB94qtozGwpsC//hFWTDhu0/XDYUsiEur3eLPzSPSSdfTRg1Mwc5m4NGvz1Kv3+btSzlcRY893/T13LLQkzeVGexuR2l6jcO35Rqw/SUgodq97ThrKdPq15bcpH/vWjaJGsO/H5WW2CsmINeo5vO69UxG6tnVutS92QWfNZ9e18o34oa3xuljBxsheeKSiUr0DwOvti6z17MhpbfS2o29cjFO+OU6KVROVAOLNaLP0O/798muMrnLJhj3dPFHlno0fLYyLkzrXBvNWXRmWcWtGp6upKquwXX1/Xb3OlELjYk2p/vSMoBbeKs3lnZOPgm7n6/DtnoHfjwcfi6LIwNzmrictYK7/B52kO/LDh1eurssG0WlPh2ePrFF2bUvnr4+tSBZnSsfLrV5fI5WFfFnPllaDZSg9zql9qdhVdNj/88brFiRH7LtEblrHj8pf0v8xYLkibXK5/w0oxGJw5b+9Uw42OHI+ULrjOB2522c2s5E5Ii3Yo3UGThyoqpJ/o0ycKein0+ttlgxfvSbEcssK9wN1+oYEFKjEvNlSFmTFpfPHZAqgnTWl/4ltLeBNe7mc5eCUa5boxIHL7qnl1hxY3eM8RUZyu+7/OLiuhmQb8zdeZvOWHGVstd/ldZM7hlemHNBBPaaYaEdrptRJOLvg2rexpRd9hpc+FzBrSo5cQXamhAbCvt54SzFgx8vaRxyY9mxO0896lHVzPGxJrdtm8yof7rCx+PlDLBa1yVSvu2GDGdqn9gMSMsNZdPajPcgLvLQwt+VutRXqF+9KW9HtQ0rd2WmVF1VS0a2oQ9puVjazY1QXn4yIpVG40YWvRYjFdBo1yPBnk9enRVTtM/m6XHRKkRdXiVVvdrbl8dRpu0ZVcMMKHz7CvjZpw3YsCHzUMX1jfipCo0etxRA6i5snoWNkBaTpAeRR4u+rUqW4fICS+eDeihg3eja/OWv9Ii3v3Qk9AgLdZoV1UNK2rEsU5RB5osNODo68K0ZXpsefy+tmaeHue+jw2891uHTrmDonfN1aGD7cMdJ7sWi2nUxEAtSvgNFQ3fNXg6YkHExM0aHI8vQUMYsMQwN001Vi+vTy/XuU7GES1YFR710eLA1fejDhbXQtnnTc0JyzTIqf1muHslDVrvaVpth06NIc2uXKpRUQ+rX+vM3DU6PN2GaiGvtXg2ZOzwz+O0yPbN73/kgwZjunbJM5/VYNijE/vuumkQHLcw8bdSjYK3alGJq8H5lvAI/KPC1dbeVFI6eBruBbaN0OJr1G6qQA06Ng9Rj9iqwbgNZ4Tr7hrUnBKz7WKiWsY7NYpIhaTC1NstP304qULyMIYQKqwdrU1/5KzFgqPjImMPaeCx4clO/24ahJ2/HLDCrEbtGUXXnp2rxpeEs22bFFWDQObX50UqXFEXyClUQoVHD1hjKOE23tjSVEaJU9Sl6301cAr2u93fqkYa254lapQ0HgvyLqnGtdO9Iy9EqlA1Pc+9t4cKzdwH9PW9ogTPjaLKUKJ07QpD667PRPe5a2u+/ZYB88ts2lE16na4U+brTxVcnoqlEreocORr66fnG6gwOfWEfmuKEps+sEZVot3utfZ6AZkyfmWi7Yy8Q7aADDAUeHxYgYbRaq/4vSqUX1Q7QtdQhbYHDpTeHKPEoicXO5d7nYmu1FWllmVi86L5NcvYMlBn+6b9kd4ZqDJgeqPVxxR4dv/jmgauCkhtfVtEU5ezfxbsVqLv+AOTfT5nwqVwkjENmSBQKZV8MgOXjwTsv1EiA5usMwrMW6lA1x17vVUlFTLeinjmwpBbhGGB5sd9o4Br1YT1iytnyvueAQkGymVgb+yquS1nKvBrVllqTRHzg290G3xYxAip8ETEXdx+a/B7AS8ZDC8XsG7D/N8Nnen/U7NWnfqhkHFXgUazdd3aXqXf06jj/ETEXEyMc/kt4PB6BriC3N8CrBt+Tf3ymMevdHZgPNw/78revo5HTOjjcsUOimix4Gqzhu1FMLSsmi+gxmCGIAJ8089PSKwpwMyGuc9j+xDVqwbRPO557+yy0JfHEQYblXls7NBmy89bnLxvAvQlZtSdEyJg/4Zh1cY4CVgy/dXlUhk8xlw2VC0RyONJ97SSTcDjqoVNjJNxj5P3hUMjRrujOXybtq+mtpIAjzgxIOADfZ/RwC4eb++erdrNk0fxt1V6+/3kQGTWveI1Dp2iL1EncDL+cVjbkTUWh6Xx3agCOQSseTvjURQv1wEP3yu72vZ8yaHlzE2GwXoOx6mqjcc49L4R5tJxOoe2N/YWLrKAQ8pzZfjxKA4b2XKCOWy/P8Nl+ACan8WjXyEdJ/Mph0OJdwsL9Np97fD0baE0XnQ9w8OhHJ7sC5zbfxCH82UqP/pJv6vzokuB0/TaUyJEDstTHqcM9aJ1YFN510AOQbHpXg8iOES8Y0TE4bcuhKQIB4l2hnFgbPmH5kVFT9TAoYNUQI7PK7ZuQNKAQ/ELHpGZszmU2+9x9FIHDprTDGgdr6wrJ63hMJXYvSeNU/Xdgd2fAjgsHtbOVxfG4eXD9jVujuFwvRUDQA5UBN/2+Tne/32FESPtq/WootgeOr8l+4/WS+UwOYApGw677t19+sjCwRr51Cv6Eod+iR1JuXA4EOn96q2RQ/MxLzeuuczhZHjOsOO3ObRrUjR7vIZDTNH+NkM2h8M1WmbXL8ajqgRQPJZcP0TvcBgSPuSV9h2H6veCiVrpPBODZ2x7xcm6jEeb0b2GV+rOo2SkU8c1TR11urjGzNPpLjymJCxZkT6Ch78EjPS+bX+FE9foe2v2XF4x1VGnEWELXwjTeey/60ZPoLpjsmU9j/MVm5WdHs7jYcyjgc8n8hg2r8ycHfR6UXPceeEyHn8FIY/DtoAeZU7ykOh6Py/ztQDhTtdzM3N4JCzf+exWNo/dgxmxCCDx07tCdQFObsnrt//gsedTQONGFh5MVS7ieDDUeqznMfpTKnUOj+SToQ+aeAloOfhau8ThAk4f6kAKSUDoyFPtMjoJeGA8OKriYQGzfozw3xsroJWpjLXKVAG3zqWFxncTcK4t23ABnX62G3XMVYDrhkJhdQcJKKfOKxswXQBD2TV7HHjy7/+/uC7gLZPToQKIrEh4C2jesH1t41oB+VXz1wZuFEBkXPdIcxELx0/edSpHwDxi4bhtAqpvvZbz652AbltXV5xmEVDk3E1SzIQ7bT8OCrog4M3Z7MVHUgUQ+Ux8ohIwn59PDCrA7tO7SquVIgYuzf1q8RDRPH/muhsNRUiwP0KUdbWIWwve2GMe0Xol4BaQ4hr5cnAKPV8StgI+cLVLd/5C59Dm7oUWc0X0J5W6+pOIOUk9vbsfE8GqPCpChC31SxA/X4Rli/O2SZVp/J2epLRE3Mw/2LmZTsDZBaW58W8EXPCbTaUvYBf7eJ+IU49aF97xTgRTqY9O0PeTWGGI8Nz1MD6Jvr/OgwGLiLtOdvX9CiJMTF73FJEa9YaQTUQsswFhVA+klic/F9H+TJcRYy6Isg4Q8TQ0iCSNiNFTmBIS8ZxOq+QBEX3rq8XGOx08tK3ZxEJXXgvw+bGtbpuzjvFyK9/6458k4nCb32H3I0Wc72Vf6nxeBOu+audE3HBf9efcFBHOF8eXftJdhN/jPpp220U8YTKM+Gm2JDwE+JdtnnTgDc2r19l7cQUUWOW59GfOSRE7le87p3QSEeyRFaEsJ0J76zvWfRNknSXK+lhEuJerh1912m8PRuwCIsp+eFLUROdJLLL0iwif47nXy+4XcWKgT6VJdxw86d1Mt/epiwgS6yRwRFmviADt0o18R32GMdr6JsJXMnQ0f71nsSkJIkKkjabfkXu4Sev9N+9/59B0RMiujV+JNxm86xz9MH+4eUmPtyK2Dhz3rZlSBDv93yEiiGzI8ohgLjTJKKJhwVmzzKMd9TT+ap/Shdwd+xAiNQzpg0fOLvwTEUU8G5PVE1Fx9rsmBe7Tvn0r9/xKguMcIpgNiRLRS/rAsf6//kyERGOnBCzaXJAklohdtZb0Lf5SREDleVNcaf2SLN8lgsB05Y5uIqq6z2pVhvbzjFLvn99SRKPba+NGCALCRxT5M4YX4Lb72IM3gYQfk4s1fZQrgrmKXrz4/37+278VdJqHOBENxnkQVYuoIwlbUdZ/It56MCcjQKLnTQI+fr02YMVnEXd63Y3tfdTRZ847Q3zMsSJKHjCaGsSL+DqbbZyIUd9VRT8RfjRj2/BAwNY+PTNvHxQgyT43AYNYWWjpOTd25JucFP/XR2Mm10JFdPO/snTgUhEj/ZmyoPOShIeI4ZKhJj3lzwSXiDWmPV2ftROQ+SCZFB7pIX/dxBprRezp9XuiLZXOUdmMWQuQp7Z+nE71OLth7pwFIuKZ/HWjcztx7VZVwqHIBq5+7Z8IkNpwjIA7TXO4zu9FSLD/gtaT/cLzeZiISow+2tG+R10t5zNLBFNda2nf0smVLiUdtvs7AzKq54W+YSLhygpyY5lRhLOEnjsFEX9CEkbvoTq8tDm+YRTpv1bSxBz48K/P3kUkNRkR4jj3T4ab/iWqiJDs0mAaD7fubaihwJperINFvGTlmyaCuftLVB9f43eUuKETIdHrchHVSYW/9xUh0aMn4YVUSPS9E4zA6Vz2M2KnurzZxWsR1bU+Kfk6tTqyDiRbW7QlHA1ucW/4VBEr2bSoHqXlEU5FEDu32034yZZ/RoC3ZDAc51Et6ap+gcbRp2w1G+c41vnggIY6S8QGLnFDhzYiDvp2+1OEcDTUlT1ZAFPxOTTuzwLH288PFjGRe0EnT+dFrOAa6egzH7Yd/YkP5nQhqUb1WYUZZdpfaUDq8zmswh31I9kF6p+HBacOPU////V/guzDRdmvCth3djBBiIBqtGu7Hjq+lxmlybGVIhybw5SIAMlm3RCQdyt7VNorAcW7JkWUyBIQKBW+gGdeTOCSHvar/qcL8Zskf6uJGHv21K22pUXcY7JYLcj+UYCO2emZtO6ck/hBvFtbepCAvVTti9c7ePs2gyXyG01Ujd7Xf+7Yr9M/2IYRf5DL9R4rgIpiwnbqE+bydrUVkL5we7Ui/o7+DmdyifRAofSiFZ0hoG/yIIIQ4f96++vnBDx55RRXtKUACdaMPNTnuwqD4nn4SMaGxyXm3kj37HNjQpmHqxSIOXRSxkjm9AifA6vufUnz+JsnCHivGRBQfqTDJxT8rCaly2NexdU3hSO8nLeQXmPytoCAcaydrDx6x50nJcajwJB9HVNzeWxr1MfY/zoP7k3g94u16XMGA+RTOg3NS7/fgsfzsEezlc14jJ9xXtu7H49Ce51qHhzPyzkRj3MtWdBH87ZfsvWYwCOrRVvjzOO87FfJPzD7QXr1bx7EI3xT6uwS3zi0eNip9ct7nJw/cZDirsccOl7/rIgp4NCvLgze/3CQaCCOwxf6tF0yJ/txDtOZbdrJ4dP1d8nT6RX3s5LXLOdg7zHBd+8Fh563/N6xo+EJDrRY89P7HB4+35FUej6Hc2vvksPjkBpdjEqMvk+oXa8Hh83PS/TrfJjDsef5U4JiOWyJ9iGHyCGdxUGLOawpMyghlnyHuq71W/gs0umS8OIQr8tf6T+RfBaLLyId/u7DsHVZpcmXDJ/12ce9FYe0fXFej6c5vv9vnArSGxyk2Jb81t88kcPM+0dpJg6fFVqszK9KYznoxxQe02Akh+gVh+bbfTh41eu7bHVLej6LKdtxkNqW/v+b19L5MDtfxOEHE38rJ11P55AZVJgsmeM5XUMuzb9L85bkwUCHH2Ip9jaQD5zLnCQP/bNZZLF5TJSCXx4lJKPEQzquPA4jJcAgP5ThOqPoWsc6pXi2OQcSteTsuf/7nKXfW/tQHx26szy0IOEDVeFg8iunhrCEnEfdGgxReDnX4f/3V5JsvMGBNqfAJvKzLTxfx5Y1iBgiCRrih6vht+aaCAcWLm7TsS/1N2uXJzw8Sy2z2BN4vNrTgJQMj9mSsSO/UaPil5HfOTD3HyZyYCmv6a1CPncF6qf+XPfRKoJ1Rwk/EV8KsoRXQIXc9aNaki8IkASqAK8YcUXvG7ycy/PYyOKJSeS7lpcky5sJpv4eLMuQ+yMDZEpizu9RQKLN4gpIMQPxOoHVXr6DiII/8nQ7lDR/FmtEkh+ae6xgelEBXHHvfcMPKWVczJR9TiYYu2+JypD7WoHCISxBV+Axk+2kZ//lIpe4xeQ4RTB13It8A6u+/JUqlJKMlwoDU2+njb2rRPsnJd8EV1CCpT1DwjMRMXGz640rGZDsaJkMuHSc3n3mPAUUK1iyoPhfp//lRzXKrF/WLCxPJfsrldx/KliG9/7WJ1kp56pK7GGx9dJMjHXzfTdZkQESQQSQGXJfKmBgtw4dNPj9bnxyG7sagZLBVcPsdPfl96JqNJWMmAqZ0ewHKpQf55fbJk6JodJFi1L2eZnY0LnP1WnvM/CCxR6ltWC3If57NZhnutz4oq9G9iNqrGd2pZtazn1UYKxWI02FCVKwoUIjKbhWyTpHicx4Jji1cv1pEcFi9zwNEvkan8pHa5DVk52EBlKsTuMfZnbYX40RXcQPttcq5OXcafDggErGexViK7HkXwepPYN0kLb7lxZMVWxcr8VXdg3grIVkK49q0F0KljWy31fj9OfnIQofNTRMTr5QIavCwFLjP+px+jgzHHpI1xgmHRb2jP1cbIIOHlIgpcUtTwYoWjB1mftVA0mmLnDktf/y3gpBTgRtBkj0GWwAQ+1aT/XyuvQIkoJpHY40ZwmyDtfTC1Ala+EtXTRo8WTSEUPbNxocKjSx8+q1GhkfTNjB4r/lRjy4mkIIbcB+Fi+NNCBUIlA9ukoHoUe4FAjo0E+6QNGBpQID1Vq8SNptWj5WK8/DLPO9Sb6vMso61IjRaa+6LjhggCTP3Q2Qrp9S9BjDYmYXPSS5fkWHr7enxE8cpkMMucyH0Rb0kgyZWdbbZjkPNEFqk1yjnM8Y8YrZ6L0GnKrGLgANaNz9Zp1hp/WQYu26elkfWCHFWPkWPGBxrZ8Fn/Z/JGYzg636YUGznPeZ5L4wyvzsGF+KU1wMmDCeJTpZsJGKx5AsGUesSJ7DGNuCpwtHkfSzyL7YjFFS8GSSecqEj5WPV9940ijnAEZIsBacAyOT1euykTnUhSxvFhZ1nkZDWNHxwxlPn1ZWOS+2YK40YTMmN25ErW2GFEcmm2QdbpL1ey7SGCxfzoHrt9Urn+Vkw0P6y4ZbT6ct7Tdnyf7TCpshu7O+jhUxCzMe7wu04A27LuHNsg42YxibToQN7FQU9WzoJwFiLi5bmSDJkXHecZ83aT6bcRbeFy+svLbOitShXiP/PLPIuGWRn2dHGLtWOm1Dd4mAbLJeyoVeou0cGP54KnZVzcFA6UCzwVD4zLksub5pv3+5uw/oa0UPUo0BqXZIj/WxQzoewYZ6TE7MsaGcZGRt0LJYrU8uGk1jiXqO7FeyYfZmSVc2nNh0+2XBxMqx2EPwndkK7CAQ3PU91C77UTvuHFxM1tIG1lUde9ggXVcez5XvAXPgLl0sZsvrctzXpl9cbI18akeU8VOpxXfsyGBya44dehbLOtlBZn9C/Us2TNjdv/KmvjYsTK78Q3ydC8kWDs2V79NycGV/v/nDzbm4upoZTtv/4/zFXbucL9uRd5xdgNsRtJwxsB3ditTqumOvTb4/seFhAgNMG/4DBpThWA==AQAAAACAAABAHwAApgsAAA==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eJztwQEBAAAAgJD+r+4ICgAAAAAAAAAYH0AAAQ==AQAAAACAAABAHwAAHAAAAA==eJztwQEBAAAAgJD+r+4ICgAAAAAAAAAYH0AAAQ==AQAAAACAAAAUNAAAVgoAAA==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AQAAAACAAABAHwAAWAUAAA==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eJzj5BwFo2AUDHcAAMOYIyk=
34
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35
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