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  1. .gitattributes +4 -0
  2. CylinderKnMa/Kn0p08/simulation0090_Kn0p08Ma5p9/Lambda/Lambda_14_300000.vtu +3 -0
  3. CylinderKnMa/Kn0p08/simulation0090_Kn0p08Ma5p9/grid/Grid_14_300000.vtu +3 -0
  4. CylinderKnMa/Kn0p08/simulation0090_Kn0p08Ma5p9/output/grid.300000.dat +3 -0
  5. CylinderKnMa/Kn0p08/simulation0090_Kn0p08Ma5p9/output/lambdakn.300000.dat +3 -0
  6. CylinderKnMa/Kn0p12/simulation0155_Kn0p12Ma2p4/surf/Surf_300000.vtu +38 -0
  7. CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/Grid.pvd +9 -0
  8. CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/Lambda.pvd +9 -0
  9. CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/Lambda/Lambda_0_300000.vtu +0 -0
  10. CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/Lambda/Lambda_10_300000.vtu +0 -0
  11. CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/Lambda/Lambda_11_300000.vtu +0 -0
  12. CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/Lambda/Lambda_12_300000.vtu +27 -0
  13. CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/Lambda/Lambda_13_300000.vtu +27 -0
  14. CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/Lambda/Lambda_14_300000.vtu +0 -0
  15. CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/Lambda/Lambda_15_300000.vtu +27 -0
  16. CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/Lambda/Lambda_1_300000.vtu +0 -0
  17. CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/Lambda/Lambda_2_300000.vtu +0 -0
  18. CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/Lambda/Lambda_300000.pvtu +33 -0
  19. CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/Lambda/Lambda_3_300000.vtu +0 -0
  20. CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/Lambda/Lambda_4_300000.vtu +0 -0
  21. CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/Lambda/Lambda_5_300000.vtu +0 -0
  22. CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/Lambda/Lambda_6_300000.vtu +0 -0
  23. CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/Lambda/Lambda_7_300000.vtu +0 -0
  24. CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/Lambda/Lambda_8_300000.vtu +0 -0
  25. CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/Lambda/Lambda_9_300000.vtu +0 -0
  26. CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/Surf.pvd +9 -0
  27. CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/config.txt +78 -0
  28. CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/cylinder.surf +410 -0
  29. CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/gas.species +14 -0
  30. CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/gas.vhs +9 -0
  31. CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/grid/Grid_0_300000.vtu +0 -0
  32. CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/grid/Grid_10_300000.vtu +0 -0
  33. CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/grid/Grid_11_300000.vtu +0 -0
  34. CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/grid/Grid_12_300000.vtu +0 -0
  35. CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/grid/Grid_13_300000.vtu +0 -0
  36. CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/grid/Grid_14_300000.vtu +0 -0
  37. CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/grid/Grid_15_300000.vtu +0 -0
  38. CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/grid/Grid_1_300000.vtu +0 -0
  39. CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/grid/Grid_2_300000.vtu +0 -0
  40. CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/grid/Grid_300000.pvtu +41 -0
  41. CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/grid/Grid_3_300000.vtu +0 -0
  42. CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/grid/Grid_4_300000.vtu +0 -0
  43. CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/grid/Grid_6_300000.vtu +0 -0
  44. CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/grid/Grid_7_300000.vtu +0 -0
  45. CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/grid/Grid_8_300000.vtu +0 -0
  46. CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/grid/Grid_9_300000.vtu +0 -0
  47. CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/grid/final-grid.dat +0 -0
  48. CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/log.sparta +319 -0
  49. CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/mir.txt +3 -0
  50. CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/output/surf.300000.dat +209 -0
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AQAAAACAAABABgAAvgUAAA==eJwtlHk8lWkUxyVuFBHZi4vr3iuUJaVtzgkV2SKmTSolLURUtpSStWSUSWNSiCxDi5jEDCVFZevamSt3QUR2KtG87+X95/18nuWc3++c73lSE+x1n+XzYZPUl5o2Tz4YZbx3dR3lw5id95NUCh9Uo4WDNez4cDlXRnexOx+Uw2MjteN48KAuIGZ/Kg+u94pbbUzmwtnHM7WHSrggLh9hVJrIASdZc/YCKhcK5Kbef3nLARtDH/mJ/E6Irq4oSHHtBOqgk47shY+gPz76QEOuA06rSHbq/dYBomwXlmJuO2hV5U/r6LRDSPCZvnfurRC51U96w84W6KUbiOUsawLJqCDd4E8NoOHhH5iuWw+h7Mee9kfrwYeDFvL69XBdtfRZby0LQoYllL8zWLBndVKSxPUGCPtsX6gaVg/hmwaGmo80Qr91yqhycRNcEnkda+DXCntXeG0z0fsP4g7JeR1RZYNEpcvgjH8nkFnMlnGh6qJFafByHjhYJoXQy7pgTLnYfLypB/wv/rMr17oPsk5czpwSGgDN0Uo1iY2D8GTHyUS/O0MwkcC+GRE2Al0jaiyvA2NQ+Gh+zzXmBMyzuSJp92gSlp0/ZOik/x2KLCWEdSKm4Ieib7PMyDSsyJKtM2/5Ceu2bPP5JjUP9cmFcmEcHtu+J9xEBPd7vp7JCxLFScqB29ZyC7D2aGPPib/E8NLvZlc93BdiRkCF9vobEuiWfdDRgbEYubsVnn0QkkadCPnWmklp3HyZW3F7agl+M+h+qMWXwXRblD30ShbPCieKqXQsRUZy1GOOtjySquSVFJDcrddRxK46jfZvF5TwzNb4Cco95dn9VpW5/zJcvWTNxn9lVJEo9md7fzXcte9Jab8LFQ9ov5euaKOi08vMNNsQdXza50sgoo53UjWf/4jQwLM3FUV+XamJpqSRbE0MIBuuS0MKaSiHhgqE6p2aWujIS/+zPFkLvWRCX7zjaKH07nX5lWvoaMEJXPqwgj7rv4eOzrFl40xnBtZO7iRuMDDzjdXaqJcMXMWmUS41MnAog1iwZCIZJmULEz17prKGHZgIxi5FltbM2TwHmRiTcEomNISJb8+V3FNexcRg8oA4cza/OhONyO8pAyuI8JuTGUheo+ozcIRl4yqtyMA0700Lm+/TZ/3Z0jEvaTDjzXstJGnem6aFMw3+vfRhGm4nC3iLhjvIhPNpSNrZlqKJmPaxZPFGTQw3aXrtGa+BomSBp9Vx/Hlb9PQWdRTIb6KiEtng01QMCl1l/SBaDctNc493DC9H0hZLcjkS6g521akgAbGJe7kyCvCLV0LTXz615gQqzsZfrYANOm5EKPlZLmhyGMsnwB2URe0ByRL9VpnZc2NLsIOgem+9NGalEeBwpND7wIIaJfvFeOVudXatkwSqZnyyWPlTHA+SwASIoYm7+XGvIQo+9jkWN/BDdI5TEZzvv4jGnBFGQsV3Z895SE6jnroQVhQVxlCGpoEYhs21R6eAEOsWefgbDB+u2m9VOQkEzB3C4hOgJhjsMeCtUX6xjzoCxGW1MY9hKKzqzbvd8gXsI0PMMh36QdMwhxtT1Qfnza2jaIGf4Pkax2uja7uhMa+gxOIYD1zC4u85TnHAdF9NemF2J/Tw2nYY1LDBxp0Rep/fPvdetIBfe1j3+pgWKDDkJHwPaITdmcbVG2zrQW/f56tX/mZBnpWjl6THB6DzQ4lK1ENk8/iic69YIPB9/gMEx9Xd8tVugGQ7viXLuBEa6bZf/JhN8MQorOZkfwsI+urWDALZT1tha03Z3XNf2+FNaW2hN7UDyth7igdMPwJlXM+3SLcTTkSU0k82fATyFVdIJN6r55GD5TmdIE25GySVwIFXxc7lfq5cEPAexQNBH//gzvnlAQgGlAtkGy5c40H1DSHjAg8+BGabnQpX6YIMmIrTMORDav7ar2VH+MCtetQt9JIH/wPojezxAQAAAACAAABABgAA4gUAAA==eJxFlHs8FFgUx4m88og8QgrDzBDbY/skaru3VSqPhBJKSmSSUB5R24NIQqGUSMuWyrvkmeogxoxBFsMHgxkz2tgklUYN2pmpz3b/Ofd+7v2dc+/3nnPiduYeVinjwfLFaV3yFB7U300idA8L1yt9wgr+4UK7CiFmqy4PMh5TrNZr80BxZHONggkXPobHdEZrCS1tmeIGPgfS7TUSbcc4sE13a2HjAzbcJVTPxH1iwx7ijDMKYgPLRK/wW8gghM9GDzw6NgCxbUffqjH7IcjU+WCAQR9YhY082aDSB9qNJ+wKDHrgjypelYtVN+Q53GZN7OyC0qfMkA5BB3BdJBL92tvhTd2Ae814G3RIDM6Tv8wA7qXyaXUJBmg4n3Ue76SD3jq/zUeCaBAnfh8VQk2KTQXFNDhWtEKt7wQV3AfGLEfPNEHjbt8hjbom8OR4/jK8ng7LVF0M4/c3Q2iHgNpzhw4lcnOVqXoMeM86LbwRA6JDbK5/lmHAXFfEKHFVC5B2vDtJVmiBGe5zf996BvRdVU85qMGA7NltqtqudFCctzxOs5cKSVs6e+nsBggMtHd0G66DYYK3rdHfNbCgI1G48xgGRO5dMkBtUdd788JMRNG/0boktQLNr42QUZp9ifhuX9vnT7WiQ6fq1VTITGRZPZRDbu9Heyu6teSPcZD7mqwsxSsj6MyT1qRR+TFUHFWkZqY8gQLXnK/E0R9QsJdsm7bTFHI9U1zhfW4ape6bs/46LkD8MPZt1dxvKPy4rhK7SBKvGDCSiUqTwilnBVbBbfPxlK37xXWucli0bZ6sgFWbnlYlySjhhFlfPo+jgsX8bVUxI2dLxcfnanjwWlysxyJ1nLn7z4KidA28Pes8sd5GC8coOZZcH1mMX6N7Qy926OBwUdhZXRwppCgXoIfL70c2mXxdir1MGAubPPRxjt+TsRANA/wlWzjpNMBJ5HGlF8mG+IvKaGWJNQG3M13frhAQsIhu20kj7P8s9NpiaWOsdqG2OafRGPusH3JM0iLiOxMPqHaVRCztqmxeqkfCUWnWCQF+JHxOJEgn4XvBvyn0EMj4fmaD/qPVZFyaJRL8tJZltPAXXmTc6eC90C2SjPddrZ8iLyHjVXKFSzx4pP+t2J8bCc/kTXY4GJK+6xOI2Fw0sSF+j3PXGJNEAh1jrNXbxnc5ZISXxf7rVDVHwL1e4Y5LNQm4xdOOJnvGEIvzt8QAG14JE6I3wFP9PVEhh/XxUk1/h4/Ky7AVwfb0hSA9zF2rU7s3Wxdv45xSL96qg51FwOdpY5bwuM0uLawr/lAN7OPJspFap46Z8hTDgCo1zH6hfPtXb1X86AQlZXxGBdtbxG864Kv03W+JAr5lKmwI8XI4SzX3eZ2WDH5ItbOIr5P68Q5JLKoCr/RvSFsMVoAOi8c0EmG/GTiFTq0t2Lhn7wc0IKtfHn/tHeqTKqpNZo4iT81FmVePjqCYO635r5gcdFxqI0pcyEImbz6nUilMlEm36GeltyHXSZvXKagBvWsNSqckV6AbpYrHCxMyUXLdZZei2FsQgLS5L98+hoOrd680zauBCr8b0g/z6mDe5NOzdYENIM4LfhPwSwrXmMynw1C8+4qLJ5phQtfr9OHtLSAuO/pPa+EYRmsNZsCzyHzrwIsMCMmy8TANYkCGV6tktGUzpDuZVZbpNENiP0UiKIoGH8pFAemQU72DYJ7WBMKsFgKlgphvBBUOsqv5wfRG8Gw46d2dQAdRl6NtooPZ5PlSkz006OOU0HWmWkDCquWm1oFXkGEs6e/f2w65R4lDASGdkG2hkbeyouNHv2GCblSEJxzoAcsFp4XSXlDZErUxhdQP2z+tvjxygwX2u4KUAtJYEBBxKtfMehAkBW+60l4NgkP3wzhKKBv+KrOYrvfhABakGK4uHAZxe3zPAWkD91rpQC4cKruST7w0DDOCxAWyv3Nh8pOo8Hkgv9OF0f2VB04XjizeaMiD5OeDs5P7eZCvXK0dWMuF/wD8TCOsAQAAAACAAABABgAA5AUAAA==eJwtlHk81Gkcx4kZckxj5kfZNrSpEFFol+J5Ol+x2XWHVM4OHSraDrUiR4ebLlnHsjm2LaLI9TyIwVyuMMIiEiHKJNfa34yeP5/r+3w+3/fn6SyqnutsCAFbT3/t8mcng8lN6vT3+3JA7w61isiEPFBgdrnqav8L8D1vzodGLwVOJgW1v5UjoG9TZpzrUAlaaIFWrVlVQHMsbzJNvgb4tTE+befXgJ9CdIwDUuvAqNeZhFJTNjBprT5ldI0N9I9HtNq85oBmQV2P1iUu2O9WO+zI54KzDoILu8f5YNri+a8sTx6QGkm322/OBz30nJaRIB5Y6yR6AQ8EGox3BhRxwNfIp2b5mhzgGFzdy3laD7hrRCtsMJc90WTlwQHD5hLZVkkckMLN4b925ACTQKac0pkGEJkUajZK1olQNr4f1tsIXn2YoZS4N4MltDRLrlorsGjbVy541w6Een7Fuus6QHv72pxCaje4O1jR5VzSA3yTh2Me9vaCMonZ9y13+kFz6VtiVd078MSLtUfj0BA4MaEtUWM4AlJv5vYO3RkD5u8Fj2dcx4HeavXJk46fQD+5ewBMAl1v1T6n5V9AoMDsklPWFDBdYxlwXX8GHN113Hc8dBasF18wD0zj2IF70QIos727OkooAcNcyIoJS+CITZFa6AcpqPV7xMsTSylwbgXp/DkqvMzSJo/IwAN5aCR521LoxTn4c62MPJzqd09rNVKAp9MlSylxijDO9b+dM6M0yPirrGL5Ojrs0YtJ/ZpHh0unU4/m6yjBAmfhy456JVhKYRAgjAHLRDIHGLCzLchvjz0TCnhTdm8HmFDDc8xlhzkBWzaQgu4TUNzmQgKaPXRI+XuUWKyjpwy7NKlBd3YqQxUfq89RTGUYnrm/frO0Mlyde+5Y7D8EVFiyIVzFmYBrRdvkCTi0d+PC6qtMKFI33cOAZ83k2tINGPDYDycvXvZWgvGmklYhkXTIKi6KpI7T4ISnSKgCbNjVPj5ZLwfjV0g70vRkYRR1XGVvA+WbTim42AcJ6Ly8sFGiewbYimy0EQLa1zmDHRfHQMfKK+6bHfqAOYigq52qBaoL5m8rg2qRbsrApTMX+tCaNL1BW9cx1OR7WIanKkQZ/5bTkgxnUcIX6uH7+yTwrtsnB2e1pfDkfMvFoUcUHHX+7EpFN1ks1pEqh1O26bYkvlPAP97c7jbQQMM1nc9DrsTQsQz5TOttSvhpgvcNz1UM3BhLGlfMwOL7/Zg48QE5VAksjtcRAot15xJY6qK8plY5gaUHI7RGFZWx5su58MkDynjsCjA+ZKqMg/tY90taCRyfHWxj0UVgaxEocQQWpTjFhcB0UaC/MHF3fHioSzwTD0sbKW2ZY+DFvjCw3rM/PmZSGbhag5ywUcKLvNKx+BtQp2NZcaNpWITNsJ8ido2uFGq5KuB6+4qsDJ4cFnPRLotJs2w6Hspgpyxj7tZfqFjMZTgFL/oojQdnyeByl+Aqrxw3e1tJLOaMkMAkDaSj84ik8da89yw65Xj1yQuPaUSGpM6+YgqR1JAoClG0nb/mvYXPSJyDTxNoVLHc4IHOBPKpuF0ebDSGDmsWDLje+oAS10r6+AiGkEG74hsV70FUTlJhRxlAy3YHmceu70OUsMenhUk9yA746ti6d6N0tT8bV73qQO3JzozUR+0ovymD8A94jdSstwzIfWxBhplsD4/PjejIiauxDXf5iG0Zb9swykW+QdLV0ZvYSMG5a9hkiIt6kpRIAtlISgxWHYrOWXejeBkHHUgQaMRHcNC1Qki2ioMa7/ppP9HhI8WouP2DKzionvwlz0dx0RGLa4kuL3jocv8yanIAH43JZlL0Z3hoY/3JGIs9PPQqbyMZbQ4S22HHRsKjwHZXWB3aeoZ3o6m7Ft2K6v+k3sT6dq4Gfde1fWRfWhXS8T/keS+rEk3r8q+X5JcjQ2sR8cXoFKvloIBSiAqeNJ5LDX+GVm7YxLd0yUY+HdVGzWXJKOPm96yCN9fR/xuSLkw=AQAAAACAAABABgAAEAYAAA==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AQAAAACAAABABgAAMQYAAA==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AQAAAACAAABABgAALAYAAA==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AQAAAACAAABABgAANQYAAA==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AQAAAACAAABABgAAMAQAAA==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AQAAAACAAABABgAAFQAAAA==eJxjYBgFo2AUjIJRMApIBwAGQAABAQAAAACAAABABgAAFQAAAA==eJxjYBgFo2AUjIJRMApIBwAGQAABAQAAAACAAADAEgAA0gMAAA==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AQAAAACAAABABgAAXwEAAA==eJwtxVFEHAAAANBKkpzkJEmSJMlJkiRJkiRJkiQnSXKSJEmSJEmSJEmSZGYmmUmSJEmSJEkyMzOTzCRJkmT20Xs/Lyb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37
+ </AppendedData>
38
+ </VTKFile>
CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/Grid.pvd ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <VTKFile type="Collection" version="0.1"
3
+ byte_order="LittleEndian"
4
+ compressor="vtkZLibDataCompressor">
5
+ <Collection>
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+ <DataSet timestep="300000" group="" part="0"
7
+ file="Grid/Grid_300000.pvtu"/>
8
+ </Collection>
9
+ </VTKFile>
CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/Lambda.pvd ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <VTKFile type="Collection" version="0.1"
3
+ byte_order="LittleEndian"
4
+ compressor="vtkZLibDataCompressor">
5
+ <Collection>
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+ <DataSet timestep="300000" group="" part="0"
7
+ file="Lambda/Lambda_300000.pvtu"/>
8
+ </Collection>
9
+ </VTKFile>
CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/Lambda/Lambda_0_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/Lambda/Lambda_10_300000.vtu ADDED
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WNnYOTi5uHl4+hm/RZ2RiZmFlY+fg5OLm4eVj+FZ9RiZmFlY2dg5OLm4eXj6Gpc/IxMzCysbOwcnF/TH/P4i3fOA=AQAAAACAAAAgZwAAqAMAAA==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eJzt2kErAwAcQPELrRw0xLZkEk0SVy5KO01NbNNykG1lyk5ToxRtF4WDlSlKhlBrceEikdhBTbY2jTblsgk5EIctEXH1/wjv9PsE7/a8riNPQK3s9CLiPw8zc1/ONkSUTNvGe7RWRJTM5xwb1x5ElKxydb/PBxBR0pSpnnTsIaKk26aIaRKIKOnPvdUmXxBRMtp3GtoqLUNEwcf0zsdACyJKKmzLxkojIkrq48OpBxciSjr6zI3rs4go6U13TPSHEFEyONh0oTxHRMl0LG/J3iOiZMGS3V4pKkdEQdVvKPWIKGnuWvXp9Igo6Y7NJO/siCjpt3galryIKBmN6HdHgogo+WRo/a47RkRJRUxjytwioqTOUry58IGIko7IVbNTU4GIgj7DyVRNOyJKrl2G4ykrIkr+bbxjiChZOBsK2xcRUVJl6P1U7yOipPlAO/2cQETJ0Y6Sm81XRJT8AVoWcfk=AQAAAACAAAAgZwAAbCUAAA==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AQAAAACAAAAgZwAARxoAAA==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AgAAAACAAAD4IAAAbxkAAJMHAAA=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BAAAAACAAACAHAAAohUAAJoVAACcFQAAFgUAAA==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eJztwTENAAAAw6C7/g3PxwIUAADAjwE0gnQF
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CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/Lambda/Lambda_13_300000.vtu ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ <?xml version="1.0"?>
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+ <VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
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+ <UnstructuredGrid>
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+ <Piece NumberOfPoints="3434" NumberOfCells="3300" >
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+ <PointData>
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+ </PointData>
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+ <CellData>
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+ <DataArray type="Float64" Name="xc" format="appended" RangeMin="-1.9795" RangeMax="0.9959" offset="5096" />
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+ <DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.11835" RangeMax="0.12162" offset="19924" />
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+ </CellData>
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+ <Points>
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+ </Points>
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+ <Cells>
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+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="40572" />
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+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="64484" />
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+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="70320" />
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+ </Cells>
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+ </Piece>
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+ </UnstructuredGrid>
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+ <AppendedData encoding="base64">
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_AQAAAACAAAAgZwAA2w4AAA==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AQAAAACAAAAgZwAA4QMAAA==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eJzt2kErAwAcQPELrRw0xLZkEk0SVy5KO01NbNNykG1lyk5ToxRtF4WDlSlKhlBrceEikdhBTbY2jTblsgk5EIctEXH1/wjv9PsE7/a8riNPQK3s9CLiPw8zc1/ONkSUTNvGe7RWRJTM5xwb1x5ElKxydb/PBxBR0pSpnnTsIaKk26aIaRKIKOnPvdUmXxBRMtp3GtoqLUNEwcf0zsdACyJKKmzLxkojIkrq48OpBxciSjr6zI3rs4go6U13TPSHEFEyONh0oTxHRMl0LG/J3iOiZMGS3V4pKkdEQdVvKPWIKGnuWvXp9Igo6Y7NJO/siCjpt3galryIKBmN6HdHgogo+WRo/a47RkRJRUxjytwioqTOUry58IGIko7IVbNTU4GIgj7DyVRNOyJKrl2G4ykrIkr+bbxjiChZOBsK2xcRUVJl6P1U7yOipPlAO/2cQETJ0Y6Sm81XRJT8AVoWcfk=AQAAAACAAAAgZwAA+CUAAA==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AgAAAACAAAD4IAAADhoAAL0HAAA=eJxN1GuoxVlBh+Gkthaxs2KTEYey2BbSMcqDRJ2z50hidmzISj+kCZGGlGZhRmYGOWnmJVNT03Ln0FiCpnbZYRCOomAhMdl4S7QxJTWtofGSmFjYfg6867/Wp+fjWvwW76dv/NJbbrt6+gO/7HhOfvmLww95xeeHn/y2zw6/8pN3Db/ja+8c/tz3fmL43j/10eEbn/Xh4ae8/l+Gb3nP+4f/8YvvGf7Ct90+vH3obcM/+qR3DD/t5W8ffvVb3jr8ro/fOvx/678dvu8D3jj8iEf/1fBvPOMNw3/22tcOv+/2Vw/f7Qu3DN/v3jcP/8RDXjH8jF942fCfv/TFwx940wuG7/7R5w1/z1c/e/jR93/m8LMf+fThx93tqcO3PuxJw5tX/tzw4+/86eG3fv+jhr/xOT8+/Iv//NDht9/nQdPW59O+Z9Omp9OO22m7k2mvzbTRetplNfwnt33xzfnHHn/n8Jfufsfw61512/CjHvjm4Xvc8Ybhv37qzcOP+YYXDt/z8PThX7v5McPvff+Dhr/76+8z/NwfvvvwP3zVO2/NN/36i4af+KHvGH7sPc/etLx9f7H8w6td/syDbxm+ePe/Dj/oL77mhvyJX7nf8PN3Nw7f/yueMPzzH3vm8Jt/6CXDX/e6V92w3Ocw/MZfetvwV77v9uGf/L6PDL9+/6nh47nMr/nLeww//LH3HP7fzb2G//Tvvnn4R37124f/577fNfzHH3zA8EOfvxv+7A0PHv6jT904/IO3PGL4roc/evjlq58Z/oG/ecLwf/7sk4df8k1PG/6Wx900/Olju955edO1tStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbVr2fp82vds2vR02nE7bXcy7bWZNlpPu6yGtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbVrefv+YvmHV7usXVm7snZl7cralbUra1fWrqxdy30Ow9qVtStrV9aufDyXWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snb90wN+89ralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2rVsfT7tezZtejrtuJ22O5n22kwbraddVsPalbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2rW8fX+x/MOrXdaurF1Zu7J2Ze3K2pW1K2tX1q7lPodh7cralbUra1c+nsusXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu971nc+4tnZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2LVufT/ueTZueTjtup+1Opr0200braZfVsHZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2LW/fXyz/8GqXtStrV9aurF1Zu7J2Ze3K2pW1a7nPYVi7snZl7cralY/nMmtX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aud3/rM6+tXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF3L1ufTvmfTpqfTjttpu5Npr8200XraZTWsXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF3L2/cXyz+82mXtytqVtStrV9aurF1Zu7J2Ze1a7nMY1q6sXVm7snbl47nM2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVteu99/qta2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStr17L1+bTv2bTp6bTjdtruZNprM220nnZZDWtX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStr1/L2/cXyD692WbuydmXtytqVtStrV9aurF1Zu5b7HIa1K2tX1q6sXfl4LrN2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtet/6WdfWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q5l6/Np37Np09Npx+203cm012baaD3tshrWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q7l7fuL5R9e7bJ2Ze3K2pW1K2tX1q6sXVm7snYt9zkMa1fWrqxdWbvy8Vxm7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2vX+L//ta2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStr17L1+bTv2bTp6bTjdtruZNprM220nnZZDWtX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStr1/L2/cXyD692WbuydmXtytqVtStrV9aurF1Zu5b7HIa1K2tX1q6sXfl4LrN2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXt+sAXlnZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2LVufT/ueTZueTjtup+1Opr0200braZfVsHZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2LW/fXyz/8GqXtStrV9aurF1Zu7J2Ze3K2pW1a7nPYVi7snZl7cralY/nMmtX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9auD9717GtrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra9ey9fm079m06em043ba7mTaazNttJ52WQ1rV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra9fy9v3F8g+vdlm7snZl7cralbUra1fWrqxdWbuW+xyGtStrV9aurF35eC6zdmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7brjY8+5tnZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2LVufT/ueTZueTjtup+1Opr0200braZfVsHZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2LW/fXyz/8GqXtStrV9aurF1Zu7J2Ze3K2pW1a7nPYVi7snZl7cralY/nMmtX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9auD33wudfWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q5l6/Np37Np09Npx+203cm012baaD3tshrWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q7l7fuL5R9e7bJ2Ze3K2pW1K2tX1q6sXVm7snYt9zkMa1fWrqxdWbvy8Vxm7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2vXh2593be3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtWrY+n/Y9mzY9nXbcTtudTHttpo3W0y6rYe3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtWt6+v1j+4dUua1fWrqxdWbuydmXtytqVtStr13Kfw7B2Ze3K2pW1Kx/PZdaurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdH/n737m2dmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snYtW59P+55Nm55OO26n7U6mvTbTRutpl9WwdmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snYtb99fLP/wape1K2tX1q6sXVm7snZl7cralbVruc9hWLuydmXtytqVj+cya1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q5/u/X519aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrmXr82nfs2nT02nH7bTdybTXZtpoPe2yGtaurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWruXt+4vlH17tsnZl7cralbUra1fWrqxdWbuydi33OQxrV9aurF1Zu/LxXGbtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cra9dHD715bu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuWrc+nfc+mTU+nHbfTdifTXptpo/W0y2pYu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuWt+8vln94tcvalbUra1fWrqxdWbuydmXtytq13OcwrF1Zu7J2Ze3Kx3OZtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra9fHX/OCa2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStr17L1+bTv2bTp6bTjdtruZNprM220nnZZDWtX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStr1/L2/cXyD692WbuydmXtytqVtStrV9aurF1Zu5b7HIa1K2tX1q6sXfl4LrN2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXt+vebX3ht7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze1atj6f9j2bNj2ddtxO251Me22mjdbTLqth7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze1a3r6/WP7h1S5rV9aurF1Zu7J2Ze3K2pW1K2vXcp/DsHZl7cralbUrH89l1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF2ffOmLrq1dWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXcvW59O+Z9Omp9OO22m7k2mvzbTRetplNaxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXcvb9xfLP7zaZe3K2pW1K2tX1q6sXVm7snZl7VrucxjWrqxdWbuyduXjuczalbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW16z+e93vX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9auZevzad+zadPTacfttN3JtNdm2mg97bIa1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9au5e37i+UfXu2ydmXtytqVtStrV9aurF1Zu7J2Lfc5DGtX1q6sXVm78vFcZu3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytp1500vvrZ2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydi1bn0/7nk2bnk47bqftTqa9NtNG62mX1bB2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydi1v318s//Bql7Ura1fWrqxdWbuydmXtytqVtWu5z2FYu7J2Ze3K2pWP5zJrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrv96ykuurV1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdy9bn075n06an047babuTaa/NtNF62mU1rF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdy9v3F8s/vNpl7cralbUra1fWrqxdWbuydmXtWu5zGNaurF1Zu7J25eO5zNqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbXrrie+9NralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2rVsfT7tezZtejrtuJ22O5n22kwbraddVsPalbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2rW8fX+x/MOrXdaurF1Zu7J2Ze3K2pW1K2tX1q7lPodh7cralbUra1c+nsusXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zuz792N+/tnZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2LVufT/ueTZueTjtup+1Opr0200braZfVsHZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2LW/fXyz/8GqXtStrV9aurF1Zu7J2Ze3K2pW1a7nPYVi7snZl7cralY/nMmtX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9auzzzyZdfWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q5l6/Np37Np09Npx+203cm012baaD3tshrWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q7l7fuL5R9e7bJ2Ze3K2pW1K2tX1q6sXVm7snYt9zkMa1fWrqxdWbvy8Vxm7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2vXfD3v5tbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1a9n6fNr3bNr0dNpxO213Mu21mTZaT7ushrUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1a3n7/mL5h1e7rF1Zu7J2Ze3K2pW1K2tX1q6sXct9DsPalbUra1fWrnw8l1m7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2fe7Bf3Bt7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze1atj6f9j2bNj2ddtxO251Me22mjdbTLqth7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze1a3r6/WP7h1S5rV9aurF1Zu7J2Ze3K2pW1K2vXcp/DsHZl7cralbUrH89l1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF2fP//Da2tX1q6sXfz/UuH9+3icTdR7qNNlHMfxCU2TWHYZFbFKYibCjHRI1DYnidns0E3/KBMiDSntgimVGaQoYYVUZCQ5PXUsIVO7LAzCCwoGEhaWmVR2AQsjQUtC7WS294H39/c8f73+fB4+D+9cLpdb+/uxHSdrb0zoMrfngqPhv68/Eh5+3+Fwz3M/h5/c9EO4b//B8Bf9+8Onr94XLk/ZG75j3p7wolW7w+t37Ax/9du28JnCp+FR47aEp834KPzs0s3h9zZsCB/Ytz486HRfePTw3vDdk1eHlz76evj9114Nf7f1pfDgwy+Gx5y3PDxj7LLw8nsWh2cPWhjedvu8cHHtQ+E5R+8P77xxeviy5+8KP/btlPDuERPDpQW18Pxd1WTTSrJjOdmulOxVTDYqJLvkw2/v7d+u75xzNHx28KHwxnV7w9MnbA8PObQ5/PHC3vDMS14OD+ssDj/dOzP8zcGJ4esuGhF+4dbB4c+HfrlNL3nmlfAjP44MzxpW3Zq9vV3P/mGrof+a1Beuf/1TeOIH54/XR54YHV7R6AmPPWdu+OFfl4W337IyfOHGdeOz+3TCWx7fFT73wL7wvTf8Et7UPh7unqZ+98Mh4amzhoX/LV4afuezK8O3PXVN+NSoa8NvfT8uPGVFI3xi/KTwmuM94Zv7poWPTZ0RXpV/IHzTJ3PDfzw4P7zy8kXhq2YvCf/Zc3bHqTGrB1xa0B+evPpkeP6uE2HapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWlXtnUt2beabFpJdiwn25WSvYrJRoVkl3yYdmnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admVvb9ezf9hqaNqlaZemXZp2adqlaZemXZp2adqV3acTpl2admnapWmX7p6mpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2adv0zsj1g2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2pVtXUv2rSabVpIdy8l2pWSvYrJRIdklH6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6Zd2dvb9ewfthqadmnapWmXpl2admnapWmXpl2admX36YRpl6ZdmnZp2qW7p6lpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6Zd/VesGTDt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTtyrauJftWk00ryY7lZLtSslcx2aiQ7JIP0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL067s7e169g9bDU27NO3StEvTLk27NO3StEvTLk27svt0wrRL0y5NuzTt0t3T1LRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL064zF68dMO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3Ktq4l+1aTTSvJjuVku1KyVzHZqJDskg/TLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTruzt7Xr2D1sNTbs07dK0S9MuTbs07dK0S9MuTbuy+3TCtEvTLk27NO3S3dPUtEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTrv+G9g6YdmnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admVb15J9q8mmlWTHcrJdKdmrmGxUSHbJh2mXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWlX9vZ2PfuHrYamXZp2adqlaZemXZp2adqlaZemXdl9OmHapWmXpl2adunuaWrapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWlXLvfmgGmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWlXtnUt2beabFpJdiwn25WSvYrJRoVkl3yYdmnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admVvb9ezf9hqaNqlaZemXZp2adqlaZemXZp2adqV3acTpl2admnapWmX7p6mpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl36f/K1n7E=BAAAAACAAACAHAAAohUAAJoVAACcFQAAFgUAAA==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CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/Lambda/Lambda_14_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/Lambda/Lambda_15_300000.vtu ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ <?xml version="1.0"?>
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+ <VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
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+ <UnstructuredGrid>
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+ <Piece NumberOfPoints="2278" NumberOfCells="2178" >
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+ <PointData>
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+ </PointData>
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+ <CellData>
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+ <DataArray type="Float64" Name="xc" format="appended" RangeMin="4.0314" RangeMax="5.985" offset="3448" />
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+ <DataArray type="Float64" Name="c_6[1]" format="appended" RangeMin="0.0025703" RangeMax="0.0037771" offset="4812" />
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+ <DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.08552" RangeMax="0.12567" offset="24400" />
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+ </CellData>
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+ <Points>
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+ <DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="5.6748189645" RangeMax="7.8102496759" offset="40488" />
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+ </Points>
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+ <Cells>
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+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="47144" />
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+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="62536" />
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+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="66436" />
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+ </Cells>
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+ </Piece>
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+ </UnstructuredGrid>
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+ <AppendedData encoding="base64">
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4vnj0nyShoddV4ts5ErjyDbvVrpHAl8Ur01lPwo4gcZt7zSRYmijcvPKNhNkV3wTkRkj443OGp2c6BfntFodtJSjYPEtx5+M9FJwpMOuMcKMg0SAsYAlei1PaIhLOUrCxP32lSDEFGm+u6guUU7Dks/ST9a8pINd9O3JrPg1stR5OkSgNIQa2bc3SNIit2y/arU/DPa36sxIuNMgcWtngcZaGDykzs2ru0XAtbmZZcwMNMfFHjUcGaPA7N/J6oQgHuJopgy9WciCopKPUYQMH6nxH5FS3cyBtYt3nelsOJO2Z5rGW4sAWyuUteYYDBzIrJZ4Xc4A/2fBaVREH3sw9FW7ZwgGhzI23eD5zID5nXZHsFC5onrrvPmMWFwJyM/R1F3NhRIq4WruJC9fOruYz2MqFnlAlgY3qXJD/NeBVv58Lt14P5XeEcqHX7Iaw9zUu/LG4uPzGGy54PHE4vfEXFxy9+KJGZ7uA+cumcUdhFxBWvnj8+XIXWJb1ztpSzQWsx4o6rqq6gIT+aX9RMxeo+74qvNvLBX5fago97+8Cz9tVbrcdc4EjRRVuZWdcoOjrlRU8yS5QXpPn8P2aC3z9LNps9MkFlEsUZJYPukCW1zvHi1UELBpJvqrYRoDu4ELQ7SPA163p7LvZJGi5NiT0SZCQbWht061MAit5Vf8uYxIqpOyqph0lYcXM99wpUSTk8XcGSuSSUG+9KvJsLQlL/pqsM+0jQccwbWelMAXWfgJHB2dT4NNoEclaTUF3TreptR4FtmJZj946UJC5MLlpVigFkNx4Mf8aBXvMvkmfbaBA90+0kvFnfF/gjLj5Wwoq5gfN9vlBgdatpdo719DwJT/hhZ8NDT29nuHPPGkI9Mnc4RuL75sqC7nl0iBsfDM9qJKGisfug1NraCjkLuB70E2Ds230nc8SHFhhc/bhTwUOtMouz2wEDgDvTZunZhz49mTblgyaA86bZl5Zd4IDGx9p2dTFcaCX7PI5f5cDLoHP95fVcmDsQGty3Q8OpJrYb743woFK05cPmgS4oOv+OGlMnAsDPEfvhwpz4fAvv84URS7kX503GM7hAthupI18uLBUuW6l3GEutJOFjYY0F2709sa/P8oF2w8HNIUKuND1xXrL2louVA81PDTr4cIllXVd8V+4wLv+BjdpiAthRLDyTAUX4E2hurXwqtmlf/TUWhf4fP2VObnFBb6f/JK8d68LzPqmGNXEcYGTZsM8lqdcYEG/XKbAJRd47NPZFp3qAnbThBM0y1xAq17FYbSaAPMpF2IUHhEw/Zh1U85jAvZuPrzN7zUBc5/JHdVGXdie0v45V44EU5nepY91SNg3fdi4FHWx7v6c1nTUhW+ggqZPNAmDIx+j+TJJIIms4YgyEuIN1xbGdpHw4tJPIxkxCoK8QuZNW0qBwoPGrRFOFEhbBHjqnaDAq7CGmxdFAb/lz2nEFQokWpTrB25S8OjSk/RnFRTszc+9uXI23t/GlKBtAjSMWdtmP/yDOmO3LWgYpSC+NS7YWY6G7nM3v21UoeHh0MjIfVvGL1yXGe3RyqYh/XPHdpUOGpxGnqsadNFASNwRjeLnwG3BWxoFKhyYw52yQVaHAylzV9a27uWApKpYAq8dB95/3jzztjUHwh89rbjA4sAi4sc+syMcSA7uUg44yQGt3G0nH1zCz1nOo5HoH2+bc17w3kN9ifILOLRz4J06bZP+kwM1U/g3HhznwPk24RCOLBfSuyYisnZz4YHazlQpNy7wrDDPn0Fx4Wa+cHckwYUofpsxkXgu3B3ozFlUyIUn5QNT+Oq44KdUaB3UxoXXqkovT3WgDyUeruP/wQWLlGHDub+58FD/8o6Cn1w4I59zJk/UBXa4Bq6VUHKBRk8vpY2GLmASfWC2o7kLRFTpP0o/gPowDnWdvxv1IXfOQPo8AULLT5sblBFgYnRw1YkWAlwvlm/+/YOAtTeKFARHCaj9KG6/T5CERc9F4320SXj4JYC3wIkEw9xkxyNsEk4usm4QiiBhi5eCWVA6CXI2RSP2F0joUy/faFtKgpSYAZ896sLJRrz43SIKepYpzsjB6x6BknvpihT4jm3an7+DAr1uiLnFoqC1ePvXO/EUrLJyDfPH/Ai3/Tb95D0KxEx7lidjfmhrcl5cGUO/ubt0xVZJGjaO/2nL0sQ8eXE8/eoBGjy5d7YCXl2Lz3Ykom8IKD8p1kymYUOXS+FQGg0HxU1cNuTRMOgiOXarhQb76fULTdpp2K+e++riMA1S4f4uc4Q5cCxwygxBaQ5EbhOjvm/igKPg8pZuJw6QpaZGJyw4cIfjWb/LnQOfRKVfTvXjgGVbftWXixyoTtxW8PwRBxQyHix5W8WBzwXFQj/RT+7Tz851oh4E1nwdzxPiQrzE19WVKlwwt3nwSsGCC4Otv4tqArhwdWPlWu0oLnQ4FL/Rd+VCOa/L6zpTLkzrOzxeYMKFA0tbNecc5IKTff7g/tNcmMNe4hd7mwtlkg/8iBYu7M0Y0hBFPVxZqjoe8Z0LiSE8nOFhLjjoLmu4NoC6WpvjlTXVBWpNoswG5F3g4SfNE5n6LnBMMNvy6xECUlKaFhXkEzClZa3N7GYCZh6xe5tVQ8Dbn+dvaX0gYIlIcPyhCQLmvJDx2DqDBPGvApwTKiQEVcWvO7yThPGvQaMZe0mwsy3p23OWhJ7g+GfFNSSIqWrWuTSRECOz48P2hyTMsl0bcuw+CYnqKo3hX0hYuUBd8pw4BSF2kVoj6yg4NE9xw31tCt723/2dv48CnWULN83ypWBAKvLNhusUWKn8Mg98Q0Fkae75xegPL8Ifvh+bRsPmUB23qXNoeN6W4Gc5j4aoxRypB0o0xO4w7p1tSsOPRd+yHm2m4byrco2ZNw31io8eGF5Ffzgs3XGhkAbjY9G2lU00qFgul0p6TsOtQ2IjlW9o2D5DL/vgKA1zap3HVw/SYLUnPS/nC/0//pD5vvl7jgEH7Lu38iXociD2SuvoGS8OXN05EueYxgHqbN3Wx5X4ujR/Fn8bB3Zd1CoefM2BvaHbuj70cGBhyNav3zFncj7GvjLBa+ie1qdvFmB+jP62ztyA+RGotHjLDi6oBq+Qtz/AhZIw2RX+fly482is41ksF54abjxvm4yckRhxpeAy6mvFlnarEvx5gd0zte4yr3Pjg8tfoa+EJM9Y/RR1Y3x6lkkD5hBZ6BX1q4bxlV35LR9ijxJQoRS1ZlkUAWYtJRUd6QTwhVlW3qwgoOao5as76BfTB8S37x4joNThVVotPwmrvkfWO88lwaZyUbaTOgmN3kX5W9Enrr8avVEfTsL8shPOjy+R8CEusqC8goSy+u/vxp+QcDp3VG7sIwl+pmkbSidIqOOtuHNyIQWuqxVmP1WhYLzVOPbEVgqUWFOrV1pTsPuoh/wOR+QNidTq8cPIoXJCZkqYJ/kWZPK5Zgr+OFklVQ1ToHhTeaXYbwo+LP51Igr1IVp96ayuIPrA9NHy1FU0XBj0d882xJwZG3lbaESDmbVe++J9NEyVfX3/rysNo1fOCuQm0HBI0AytmIYnRd5z/qA+wgZ3P7X6TUON2KbUuLmMX/BaiWm8FePAtLjBfuW1HJjrPG3rIn0OGF7q6nPczQFzLbGgUSPMEQgXkuZywHji8tHxcHz/zY3ivmTMJQPvxexrqAuJcI5OIQcMilUj/jYit6TfX93bjD6j56IRgbyqMM///PFRzK38ZaVaqJO4T7NoT7z6PLqwaJcYF5J5fpgXazPX+vOX/R3RR16451cYs7lwVnBfn3g0F1KSopIz47igEBVx9x7mzuPR2gLLDwyHRGcOK/N/4oLh2YHpO20I8HL3qtoTSMCjlbGb5eIIOBDXpHyvkoClbVldiz8RMHyhZKeoMAlHrl3XVZUn4U5bjICnGgnhTtUPhA1IsJ74ZVO0h4Rmlc7ZvXi9cVFm7IgnCR7tv4pfJZKQmRx2o7GOhN3ui3wKO0gon9p02fgDCdRM3bXHhLBnZPXrr5ehwPlh8+agvRT8PDDeqEZS0PREp+FBBAXrOu6sbzrN6ML2uNPmE5gnKZlGQmU5FJxOeFL6soUC71N67B/jFBQO8HedXEHDTm3bvtfradjjpFMrv5eG1cnpv52saHhQvmCD6xYa8lzublYyp+HTT/eAZjcaroCejCbyxtSIBJVL6TRsvXp8/ov7NLz6h+mdNDQ9dBbbMI0DmzP6nq5dwAG3P5VGQeIcsCl2VN2xhAPeXXWHDslxAM1dykMZueHevk3UZg7ofSs+eX8/BxLiOuafDOBA24MHnZWR+L6V55gDcqrOhZ1pd7I54Kny94kT8urpS1tuvG/gwLLr98XeP+TAkUX8QxZPUEdfhPdZjXGg8bOgIxu5deXso5mBExxYo+boXSPDheKljlde6yKnPhIuDMA+M7J7G2eRORf2tHupNh/nglXJMW5lDBf2hVy+5unNhZ3yO+vWoc/078iXOXiDCxvbWk65bSRgltOsLYKGBFSOFBxu8iFgi9RFvSlBBFRLJFpIXCBg94JYUuUOAbdE5/3c+JCAtLGY67v6CeiW9TsexkfC5vwsLf11JESaNryeaUJCiuR76OOQMBG+SDkxg4Sh/p6LU7Gf2tUcOjCMfjHj+ce+Ff0kdM8yQDRD35AsSkiVpCCYdWb96CoKPHqMWR6yFDz/VtN9RJ6CT8k9rqY7KbjgyTF2jaTgi2pIoU4aBQLbR2X251KQ2r6ySbCaAuqkmcndpxQc0ec8SP6CfVVy/NRR9I1bYdvtPg0gfzxIvwAimBd7jVunoR5ka6Ov+OrQ8PPd3J/uS2jodS1Tkt9OQwYvSfd40ZDzzT3u9TEalslZ6Ikex7zIm3nkznn0H/1b+f5PaHCYeLZ8J+okSTe38tx7Gsr0lhvljtCgev/DRfXZHPDJHHywWIADR0P+/hbGPnOn5mW8jSwHFDWS/nzYyAHt6udZXhocaFZYer4FdcP75FnecUPMjzattaXIJXl/lsyeFs+B6Q4uIx6pHDhuemSqyWkOiPdlXJl2Gf8do8FMv/uoR1VPy5OYQ+tP1lk/a0VdRt+3mvjFgf0xql8WS3AhqWFeHLGUC58i141txhxaqPBG7uN2xldstj7lk3JCbs3urdFSwfsbeOy0mCoBP3uriVPqBDTE/jMmAsgO7WX30TeoubKf5yQTgNCR0t5AwBq/F6z7nQQopd7byj+NhP6BM20eUiS8i1f5qriB4YnuB+Kl/uYkWHELmqxCkCePptYm3iLBQtqgb+8zEvhfdb9d85WECErOPx05o/BAqvDtHhK+SquIZ6Ee7n3QCzpvSMEG8+kf5LCPRJMB+sr7sW9uEJUSPUiB0N+lobwXKNhmMC5umkpB9taANIssCk4e6n4dlYf6ulkW9QF1IhL/sG5okIJA0iT1PebIyEuRaS7LaXAzbGaNAA3Jq63k/zrScETuXxOmofHo+oxdDjSoH7hjvR118dDhFtcxmobO44vvhsTR8Ds3fOwm9tpt7KvuR5FDeiLmVlY8osFn04YdAcinWus3OIV8ouFu6JRBXtRFsMZyx9szOaAvpJPkjXoxHtj5nD2dA1n//neiz+zPIky2ruJAx4z1jY8wZzRn5xrXY+7MC/28+ADFAY3CrRgRqJ8rhrH3rmC/ab3RMHKdA7UWLoJ+ecglSsd1jLOZnBFJ3fxg/CsH+BtWcMUxf4xfSXD0hjkgJPZDIWMR8qXA4Pa7Glz4UipcG/LPPzilZet3YQ8+wTNFeDUBRLbDARcnAmZXV1fmHiPg3Q6esG0JmCNvFDWGb+HnwS92FdYSEK3hp+WKeni5/R9RMXporvpXVEhYLe8WWbiKhH+/ZfIKEow8yq8v20VC73n5qRRFwrP8GFZCIPLEfjWOdSzmzseeIoF72EOyfK9PGSBBc/k9V79eElq8RP2eo2/8rHBK3LqAgj5xtaXp2FPzxFTW5ClR4PfANscOecPy+8NPCZoURKVb/Tnpg6/rNz1/k8HMs6Yl1WeX3aHgsOiZiR31FFycIxBr94GCnU2XfNSxnxTcWy6rhhya4VSvPCyP/eJeUjFLg4ZQP43zS5E/L2dkvtypTsPK9Etf2eaMTi5v0xHecpqGxdw1r11iaBCSbOxSzKLBMDp8S+1TGqKdLoVnNmM++Uh+uFrB6GRiw3q7hEFm/nGv9E2+mQIHhidKd6Uih5xK/Dxkghzy3GnKzhVmTJ+h+pTmNB/kQH7ZNssb/hx4sOMov3YQB65r/s2zusqBfQLRoerYb5+wie/HURe5Pi+dr2POyKq4O8SgLgi+kzku2HfFzmk1/OnnQKDH0+j+GVwQ8c3P0duLvFo849P1o1xoGNrR7L2EAL/i98Wm6At352dv6SKI//WOprLqV7djCRD+dj3tZwYBp2zc+AOxlwpbUQvOv2J6R0SvEL5DwiVq19KhJSQcVHQ4+x57h9mef02VhDPxWccdnEnYQKvv0EOuaA9LyzkRQ0LYbIevM+JJ2CFq/XHhReRU17TB1Gr0l3/18RUJL5TVW33fkpD9mBMo1UfCK7tFGY+nYB5UW6U4rqfg3Ncn30KU8T5H/nJbuorRSZ1HwLqVxhTs1w6LW32MApZCTJkscsjK5ZFP1iRTUGv8U8K9iMkXFa7ViXvvse9+j9M2/EbBtQW/khLFkCMTlvtZI3cU2j20WGlHw5IRz0OP0UekdYzmLDnIzDeKT6Uv9wrA/FE3lpTB/rLwzOIrAZgvgkvqm1WRQ8ZeuNSOFdCwaY5JMKA+si/w572ooWH6e5vmjR+QV9Ypc2J/0vAniH94aCoHhppfBpoKMjxSzH/b8OZGhkPW5Zs6niE5oBZtn+h/mANOnh8sjyOnrnL67B+azwFTuVN2+ugbm35JSUvh6+MPVL1/lDH9Zp/PzvHXgxxoylW6LvoddTj/j3j4FC7kN3YG75El/qeLyfwYls1e+dIc88M6uHO1KwHSxnxB6mEEOFADTu7YP1SG5SXn3iZg1YkWy4ftBJSL881yH0buYDdlfEGfmJx/n5UdkCzBXlr+3Xe4CHVx+dmcrGgbRh+T86y2Ot89HZkkCErsfbfyKtNPL4xYrVJtJSFpwkJqE+aJ2/HIrqZPJMhqr2q5ykPBfe+wWcNiFOyQy4u5iZyR4TM1aYEaBauMFr7+iD6ywlS84ctaCl5Xtq9gb6LgeIdeQpoNBb/NePvWuVNQvUTUSP4cBfGP4UU96iTpy9Lb4g8o2CsselitlIJ3kRaKGVcpuLk6pNaogPGXRS6Nom/5aNj99/j2k4toiLTZ3jgPe0ug3pOwVT74/ss/ynXBmBeHr+q6nER/qDnS2n6RBvFp7bOXoS5WHl3Qdr2M4ZAtvTb31mHPzXj7xnz9WxqC6+lvIugnEg5JKQ8GaCgXMDq3D/tv7uhjHc8ZHJgvsr7k7iYOLP6iNSV7J/JH/BvBw26YRzIJ2wXRP36+Utr88RwH5H3fmMZmMHOy1f/9hzI95tGCv3MCUQ93D9ad6vrDARDfFsYdYYOd07msTgkCOkKPec5GXehxZq3kQ878WL9jfTJNwN/NUeJSyBFoCgviE5E7nd36D+UiXxiOJTkUECAAx1bvxVzpSaxWe9VBQO+vsGqvhSTwuNReGlVgeDOMrrolpkeC/r14/WOoD/LxnLIkF7z/AXm5e93RB5Y1bVt5AfNHaO8v5bsk/BFoCtd7TsL9mQ1xe96R4PzRdrf6/89+pCDV99FM1EfnqfFDoospuHLrtTFnFwV/hVdtf4H3f8vQJu9SOwqutj5cXYDcccdptH2rNwUv/DlqrAAKlqmF5ajGol4MpwrqRyF36PAu0onDHqvjU+BeSUHPZZ1VH1tRF/asiKRn+P0renIvn1DArl4zIvqGAuWsDRuF/1LQ8Cl6//7ZeN9/HLc/u5aGQftHxlK7kTOq5qqfwX5bUOtfV4ccEmp56wSNvlG76eEt4wwabk23Clp8jYaGA+nHE6toWJ80peI78scn3ier6GGGNyZ5JIZXozJRngN9Z+gze0wZ/ly6fUr01jAOPF0drrU+igOlTUp7+jE/riTUrbmPPiFdn/96CK+P07ZmtD3gACv1sUID9pkWtX8Ejv6hWvnQqooNp3ICF//8zAajj5ade+ei//NsfRC+ggDuqhyBig2YGyaCLNH9BOiKXTYdO0FAgPRljSEPAj6pzCrYjH6xOKdKpLWKgMJZ86ep4vW02cF5vhUEzNc5qHPm0/93H/J86oThBeRO9012QZ+xr/J0hMxPtcWekXLlkLMDwxsgRD17R5OwpkrgSZYf+kPXz6tvMF9I1WoVuEzC1X3/gJ/Zo1mE8x74zUuBZpzPBxk5Ci5VtCl5bsMekrn/Mwd1oftVI7jIkQJxbw+NvZ7IFR7fH+/zp2BXqfHL1CMUfP43pkuhgIgw0S2vQj9INZYuvUnBgRSj5U/uU1Cv/0uBi76R+O/Xe0lB2XLfgUDMl0dzT0h4/sK+DB/tSucyPLJuX43pbH0a7H95c0rMaOCcyZ29C6/LPx2JKqNoOE7kEgeTadi17Xa2WwkNF+p+2AzcosGb3yJs7R3k3X0r50Ugp27cvmZTzCsabl8cqRKawoGesaeb2H9oML3ivXk28unY4Zm8A3wciJq96XbKYuy1yxendRlgHqR0TPHncODFyQ8r3X044E+7t9kEIkeUPu6+dRL1dc48JQl18+xf/UBe5e5SlfGrY0NFYaDAt1Y2/NZQ3RkxyAaRNL8ts2YSkJB5UG/FYuTHGmuJA2oEnIwcGgdjAto8h3StURfb+LJdf4QTMG1porbwaQIOLJ9/f2EkAS1frl3jKURfyd4RXo6+oV2l5jpSR8D6zJINAhPMPKPL2lKtE3vJ1ymhpUfESFDvPfH9/DYSdOoiV4ZZkLA77kq4y0Hk0y/fk7ujSXjrca3VJ5WEzs9OWrLYT2YmCGxuxTyxee5h/qeMmXNMvr95XYnD0R5mfyJ1u1tjD/IGuVWmq0UB73vgaNyKLRT8N75H/0gbvv2jAnvM+zcPxa45UGCRZCUcGYY/F22lcB7z5Hjx3eM9j5g97OmVc/Q3XMI+7LPfOvE2Bc1rp5o6PKZgqnCIMBv7Ls9W1vPb/NhTW6IjPNYjT96R3mynRkOJ6Ley+p00zN1m0dOHvFpk/sh5GXLJVo0nl1TC0B/+OJ+eiKfh6ZayK3vSaOjT3bSaKGTm7JO6mew1RxfqnHBBDlnR93zHnh/INyaXSu78ouHEzO0XWb34fZezsd28HKjaP1dtUIYDEbtEbIZVOcDzrO5yCPJrdO7z3igP5I3yY19abrNBWV91Q/AbNrTLVQ5wvrChwHqZ9LV+NqCIJVXFCPjW3uliIIj3MVBw6AMfAePRv7/JKxFwLZobvNeByZNJPcTfr3pfkYa66bp+Z7yYAM2kvanXMF+qbA/+dc8jwFtEeFzvGb4/U1hsVxcB4v67ht+iTl4cNxgcnIm6CKz2GxYh4YrVXu2v2FfGhgJ6r5qQsF+uU33Ci4Q4r4JSk0MkzPl0SObVGRJEBKz/yuUjl6jplprdJuF32/enP/F6LFFoxd0SEhZ8d8LfDPuOsVoit5jZp5y9MBV+IKfCGd8hyWXImZDKbVekYJ5wQXHhZgpi16ZFv0F/ueX7/eZuGvk13Gmp7wkKsgKtzK9hf0mW4vVhvaZgt02PUEwNc10bbGJV/QL7ULTe7q/fmOvhoO2HBnhoMNht0fRBgYYmPbPvo9tp2OG7KU3RgIZjPP3vnzvRYGlkNLwQe8zBrLhf0X40fPjr4vaCQ0P+paS/QR40SN3kP16VScM3ow3SnDxm7u47bJOx7AENZzOOKE18ZvYw1VIbos7P4sBHSH9zHzlV7objjr2oB7Gds12E9jB7XcW3XvkfMthQ9IF7e1oZGx7lHlvwuZ0NmVUD/uIDbFj+vtNCe4wNQVzBxb8wP+TPeAWpGRBwNOtLs5EOATUblh1pQN/QLnr3YP92AiSXLMnrIwlI/ak+dNeZgJU3re0DuQQcLNjFuRpDwCzef8RHgJPjkDs3i4D33u/3xaBe/m1LFrRgn3W1nlL2lYDmGN2W31MxF77GPzfjw/7By7fpOOZMJ71H8qMYs289N2XM9OpW5Is1lldn+ZAQOs/u9Wz0EXpNrc5m5NOpwTJb4pFP6xR21MNNRieT8/OABVXH2Min//35t5Og4Xh+yTM+Zt9ml/ltl+YaCgwTyFELcwruysqp9mLeTOVRPPDsAAVOf2/2N3Mp8BzIXMyH3BlUfudQL/Lo3/xHgTW5FDhmbF9YW0KBm4ut703kj7fjIpkGbxgdLdTt141FPj269tDXyGHqfzoZSLzE407Q0Pv6SNYTP6anZFHL+0Nv0DBnoE/kYwgNUX+7ZszAvDlS4f++FT/fEnhpW3gKDY5RYvnZ2ZhbHkvfhSOXfLszGDP3I+pJOlf27moOkDsTWt5ib1GaWqYfLYt9RFQ578YqDojELIv1PM6G77eivmbEsv+nj9/1h9u+3GUDab9u2olHbHhwz2+sv4kNiYqlr4NQJ31N7/z0RAj4dXXgoeIyAryevYqwX4s58WrvOL2OgO/rLwu+w1zx/1px5DL2lCuvdaXy3Al4deC3vSnmy1GD4NmA+oiaecFPBvNky2nr0suYL+9K7k18qSWgfU7UKcOXBNzWGq48gf4RHvJv0UPAzcosIZVZ+Hd/usRXXpUEg22dne1rSbAP0p02exne3/qYxf4GDH9MnX+g5vshZu86j8dulgzqYZeW5m3nchIe3R6dNdTM6ELxEStKTYCC1UKaK2IkKOA3SDVvlEE9rLweXICceuF5o7gfUHDyPOe74Xbkyur6DdH22H/VxOfxOzPcWhLfnhwbQ8F/eIb9JbFI70dVOvbaiRRBCeSRfktOTBjyyahCwCePTvSbXjGswNh3Jk5t4Eyhgf532yWZfJk85xH5dNq24kAaTkm1PZsfTkN7jOTFs2eYOUhFbPS6/Os0pB2TfhR7mekzn+Jn336MvpGwoOaHUSUNfis0CK/XNMhtyWzNm8LsZTKLEp8FUmy4KOBi9caLDY2XpIJOnWID993h7BcJbBCe2jVzQTEbaAsl4aPVbLB5+tuxH/UhEz//ak4RG1y3bVzj08iGbcN7HtpOJ6DzaPCxGcsJOKu6BKsdcqnbvwkMM9cQaKy6nRdAwNqLDr7ehwhQimSfc/Vn9iaTvjG5T6t4vsp5Ierh9MO1YdK/CBjd876waApyaEKFwc9fTI+51R/2NhBz5cbEicqQJXjfh6bbha4n4dCKAxfeYs6IOvz7l0gwC76WxfIlwVDS8oVUMn5f8JW7dDb21yZX++n1JHQM7F+/tBb1NqM2xb4fObZl/yHA3vJAJc85ZSoF40SM9Lu5FNx+ahu3F3k1LXQ0QHYdBd6zVbaWbGV0kbopMlHSh4J/W9n2/zNfn609vsYmj4J1hocyDmHepPHNSbPqoUBLj3yajTxq0JVko/ODgsqOdMulHcgxfQsqtnyigIPt03oaDTPtjcv+YG85/lhE8Sj2Wzf/Wwrb/s95oMm5x8WwfwsAJlf4dR8m68XSwGN69+jOcIZf/zvOhbp4vfrOh4Au7D0XVnjaObEhWYLQ+uTCBrXlH9I/OrBhy8TQl6ZDbNhoVcnaEMCG0FkfeqaiPng8s61DCthQfSFU5W0XGyTm1U2zfI/fF/znqGz45f1PQQTEftnx9agqAeneweeFNxEw9f6ru+57iP/tz1Z1qy9uOIWcyhk2sQjF+6wbMWOxLwFpslIVM06iHhZdMJ5zlgDzunuNL1Afu0zdpEIbCSgdklmzoomArt7kB+o9yCmrj1mx25h9Sv7da9Lr52IP4Q8sS1jD+IXrFuuD37Dnpr6dHp5oRsL7Hz/96jzQH8QcmieOk3Dz+fi9p5HMuZ5r0i17l10iwSE0+X7KDeSOu9/nCveSoDu36rzbbxJeshYm1IyRsOFI5O9X+NrHKVmiAvtvt5ZCZ5EQBVZFH5X15Jney19kVetpRsGcJp3iYj8KQtSnr9Q6T8HE1SdnHqM+FrxeX/4jhwKzHf2rTz+n4KXJx/XZX5FXiPa5D3spsFk9esC3m9HP5Ny96pBOiqgiDR1fjnslaNPwOGvxfifk1JCiBTt9TGl4JN3+WCCA6TFGFjfP+OQz3DF7VU3Vpov4vfA4zev4/lKNrwdKFrPh7n1ZZQc9Nuzat7NN1Jb9P99YqG0qIOaNPbSNR7EMfSOQVejsfJENWody9hzBXDl6PnZ5IeaKdOOQ7ZRnbLDmaxXX7WSDznPue7FuNgyendHW+5cNvsF8I9OkCTj8b1wgQcDQzyqrM9hjw33GFFSsMD/EMwz7vQh4YzbhaxTL9JLJHGnguRwkmI26StyTVVyKOfRnoYJ6BwGV/LOWk+MEmOYp3lgiSELg/hfXXs4jIQW4ZpnTSPAqzVquif1lhnlLTb8KCfkr2bHPdfH+fQwbCdUkIStYTUhtB9NnMkb7vTux1xq99V36FHVyj1Cxs0ed2Ci9kJ7uin3ZSP+E6gnsxaCda4n8yu7cb7dhgITW7O+aS4QpaD//a5/kQvx7nqqvETCPyZtJTp3c6y9J+cbSx9yx7XoyLUoPdTFzrXnzfmZP8699JLlTsF1QzmniJOrKzOek/UWm/xof+MhzDnvMk9qrnoveU5DzWvKz/l8KprON8sZX0tCqaiX4YzcNpfo1QdIUs58zfjci3xhEQzcfx7ED+cSj2z3nI/oGhKSgo9HQkFj5aHiCBXS7bJ/eXLxviRvtlq1jw7QEJTdtI/SD54JLY9E/Pty82OKynw03zmXMcDvChptPg5+WxbPhT8yFJefS2ZAUuqQg7DL2kpLTH4tSmFy50PdObWUHG4qNVqtfHsHPq9/FGC9FPogMZAnJEJDFPl04cwsBORZRjVORU5vFlfLLthFAugTflDAiYJ1z8OMltgQsH1LhawsioOCKZWDcGQLC+goiX4Ux+vH8tHbtnxsE9B9rcmj4TMBiiWOhh0cJuNqR+hGwt/TMCM4NwH47S3RMPkGW2a+c9C0/J4W6UNa29PttSsKpjDQ2aUuCUHry4eOH8X5rVi3TxX6rsLV8sRnmyjY7xYBDN5m9S+XxRYaXsa9UZ0xV+NqB/fhNW68l6uLsrHsF55Yw87EDZ38eVtzEnPsRXHEt4gFe3ZeukqjaSMGvPj0qEq/PrUL2SVtR0BTnNMfDA7mFX959FPuuvAdr/6kc5ryYpcbP7cdfUeD330CH2cdMnv+YPB80ySFXTZt39a2hYZ+Qq04V9pkEDbOZfNY02E45ZHcfddMQuibB1BZzpDg/VXY2G+S2fja/L8UGbbt9t94sZcPcP6HGwWvZkP9RuNdTkQ0i8rR0ozHe575j3lk2bFhzrFDWEP1Dfc9jT6VjbLhnX0qZoT6Kr0bx3ETf+GygJWlXiPxZMcHuLGXDq0+fNBYijzarl1b5oH/sVyj9EcbD9Fd+7WVOVfIE6Nx432CzA/0/32GnswkBe1cvSfxgQYBee1VqFgf7zajiSLs/c/+lg97rhGUQ8DakUzPpJvpGuF1+fCb+fMSLjTklqAeX927JTxkudfp/z5OLliskb0QfmZyvi4zy7g5fTQLXwNJ5YAsJEda1DXN2MvOxyfPlk+fK714WErmVxfSWyX1+lsP1Uf9C5A72lYmkOmYPk6CjWBH5kYRnD3pE1/Ex54r/fNzuE67BzMkmz5+vzmvbf5Jm9nST5z+G+c7PXIV9pSL7UXxzGfKG59uPKXht+If/bRT8N97Bnstbn0vPxT4zfNAssB71siCgZuQT+keTyKH1OavRP3h8d6Sr0FAs2ZPXhD1XsFDEPtoV/eRLxibpFyxYVqX0V2SQBYKPs8NVRdj/y5FJv1AZ42lJ3MKGkceyiyyV8XPXp8sEtBje+Lu70h8i2ZC+xnTj8iQ2hI9+4fuTyoZjUedU88qRU+e+HF59nw3ZuzeKu2Kvnbe68qXTCzb0n+OrHvzNBo+3LR5s7Cn/pruvViE/6kmx32sSUJf8Hps33u+PuvxZ9gTY8yq9baSxlyS94/cLYM5zmbwuKnx7kYCScm36JeZLd375nE/PsI+Y9yZGthIQem5HSRNyhmGKfmH3OwKK3FtONmPOnIvW7uQXIqG+cyF3rwgJJsu/iNdokWBu2PBDxInZs3y9JDfEZWHOmOlzVyN3jO/TdDcMI6FmvUG5bg6jk8k5yCSfevjGDNR/RU5dov394GcSSkJO9P+dgz6/67xJ1wq8r4muPZrqFHhYCHSI7cX+EdWd4OVLwZuV53P50R80tITmzndFntCJPC7CoqBcSMHkA0XBx7ZHSzKRW8uM/hVxfD+guyo0lYIw557fp+5QsDLOSKvxGdNzJzm1OfnuE170EalLN1vWyWF+HNS4uQZ5w0Pn34SRhrjCnYPFWagHS+8Q17ss2Lnnh2TQcxbYJ5suLXnIgs4fUvlqn1ggs5A/xOMv63/6WLOr1e7PTuyde5/tm2WJvFA5Xy0QuaP229CCD+fZcE3MxlEykw0HNAzlNS4xPXZSFy0TnSLyVcifM81Pa7WwYfq5iE0NL5i5WMyJCPa7MTbM+rmrhhIjQDN8YnCeAvLloP7HKCDg0KxinVv6DKdO+kZ9Q0XZ/XBmLzt5bmOy10pW3vv8Dn2jWT7U3ryOAIOXcqTaH+J/8y9tlaH3iTwknA/T/caD/lH0JnLMW5mEf6fbOvYiR1pUfFHxxj4TKb/gIHLGeVZJm4E/CcM5QqPZ8SS0tPhsfXuZhMLh7iQR9AlRTfUyj/+ji8nzHo4r1IajpjDPIUxyxg0pRZnCtRTYt9cInzGgQGxrzBE+S+bcR3Dz9oyU/YxvvJNLLuXxoiAudr944FEKNgb1FLigPsa9e2q84xhendz7T54jc5zHe9a1n4KiI8ZH3mCvmTwPVLVQ2lw0lQVj3B+tzhdYECq7wGRpNgtiVvHv2/+SBaSnI5XRygJRgx9KYR9YkDRLJGp3DwtSNvzYnzwT/f9e9mUtzJfipM17F6KfdMYV96zcyIaHGSts95qwIcF2y3ut42z4cS32d9r/6SdNzWM6L6+wQTJDOKLgBhv+i912Zv41qrLROuwnG6TgxvPLvAQIv7b8abeYAOsMN+MN65BDBbbgLcGe4XY6Zco6Zk4WXNOQH8Mi/ncudPL8+OScdHhMRly2nHm+YN78KI8tjwmwGki7IYv6EDN0wz9R5BvfHRO9c0j4c6acnIV9Vte+peCjHAmQdt1KS42EX9MON+YbMOd+ah+eMbyIOmm6Gu8Zixzq773KyBP10T/RfWIm6uPsOv3q3SXMOeOuF6TVghckfCk+FD0DfWMPKXMy7y3Dp5uueFQvl6DgbdDUE3Oxp+wWKbqRtQY51XVq/mLUyc3dQu94jSiQe/lEItGCgvka8aFTbZhzhpP7ucnzIAFxbVcuXWLOF/bJn2lUv0rBWO8lZZkqZi/377c878WCZ/d3tt+IZ0HLO6XikRIW8Jj/nWKFukj3dzS9UMkCx8eqP/i6WVA+J3w+a4wFQ6R92N1hFqy+vnn5dPSNpx8SbfcIoQ80yvLtQl3Mb489eQjz5CfP34ZryKXvyhPveKGPJKx0lOtnYR9x2vjZBnPlyVjv2Lco9Bel5zly0WxQfeZX//o6G4aFTf11GtmgkM2T/g17SuD03RcsB9kw8PR92BZxAj5bxj75oU7AkfJ3Vy2wp4wlDneuWMtw6CbN2DlC7sirM5b1jkUx5/7scqtnVqMuclfNqtl6m4AdChE7NfKQW+6r+w9hn+3giz2n/xr7TpH2sS7UScLSYMLpFZM7Xjt7884jr/KtGhq9jP6xa92nGQ3qJKzav2PrzK0kbH0Us/GkNQnJS94pfidIyM1a1BfgRkKpm+Jup3ASxB4HWdRcIGFfVuTJ68ipD08v1MgsIGHvMv23+2qZ592qfGUsU+8y8/QsHgNld37sGf/WqqiThVWvZa1WIVdslvndiXnTZyD+cUibguL1ixb+tGL2MWdzLL6FeVJQIym+b3ESBaMlD90bsikQUZhuufseBTqPb7mN11BgMVM8RBk5pGl7nMcMFguatROO8lIsSFRLODfHjwVhCyTtZXNZMMXuz3fbKyxozTDnTU9jAWc8m2cCX9/PrIupqmBBgea/SSmjCzu9rzvzsKdcGpIo3fqTBQbTTqn5LWJDw4yjmxNV2OBXN1/Wy4jJmX+ncc8fZoPzVBf3z6FsOFssvD/tNBtOSL6pm4k8ciTv9N/ym8gtrV7VfcVseP3mi6FYKxuUgoS/vMC+om2wbMc9UfQF23maA4oEVAWNCa/aToBDxGGflZsJGPlQ6xWsRYC7cdRnAWsCbhTucboQTMB/dQJ9Y8a2QOl9yKVnFp7bv/waAXmSwp807hNw4eX1Z9NrCHimekzXDn2Ec6iTzm0mwE91+NWZHwQck5rgOzaFBM+KKwu3oH9UelYlz1Zm+mx6nOIPLdRH+6JPG97ZMfv9yfNAk88lTHJpz/xXVmLnmHn6JIdOnkcnW504Sj9IeGMs97BsBgUyvtNPjUsw87BNomuhxpiC9L47POVsCj43PFG8jD5R9Wu970vMk7e2Pq7mEcz5wpfdK0v5iijoLt009ftT5lyHXrz7LwMrzIGx0u47Tiw49tQ0L5xgQWZtnVqaLwveGJ0M1U5kQaDv59qQPBZkcQnXuFoW7JkufUIe9fDF3DPS7ykLhE0Gl0a8Y3LmcUnxGf4BFuQdNSVbfqHO9Pu2pk9lw3/rNNTHGRlPiVsb2GBVcTHTRoMNQwJ/HtzYxoY7U/+8KN6H+vHanKdJol84PrBUP8LMxaZueXpeDXOntZLHvjGXDUIa9+/Rz9jA30T1yqF/dIo8ne38nQ1k3Ref5X/YwLt9yd6ni5m5enzXrt9+mwiYSc9QFkH+mK8sFTfsQMCSaet6Og8z50VXSs9vkUsj4M83eaUFTwhocLMbyXvNPI8ymSuNhAPfdeTTFkv24oweAjJlDoefE8W/8/PX3bdhnkyPygvUxZ4y81TBGTDB+54t88HdEfPGXWWbeQAJA5XTGwvDmL39yTBxvYKHyKeW10VCHpNgula3yfYJfl+kIcCgAXnGJk0mv5f8nx4mcyUl4aejwnLUgcOcuxMqFDg9bVwTbMLsVybPe3wQSWv744/9d31k3lLssWadykWfUpjzhd2rN4xcWsQC5U7zI9wNLBit3ZfqsYMFOUEjqfo0vlYXExMPYsG8izYzYxJY4J3UEXvuEgvaXqpWDd1nAb3p5O09eFV7na87hvpYc9D+4K33jA7G+aMX7f3OAjHPVp5WPvSD/NIknh8sWJ+yRXeClw3imYWV8nJsEOuK8jmszoYLb06HxZizIdJfNcf4IBtuheQsJY4xc472ghm+1dhju2Ln3brzCH9+8JO8EPaXhJqxfV1FqJtRu5QVDWxYGzWr/m0/Gxbuyi66hjwyu+Tg/Pl/2cC9NxArgz23R6p43iU5ApwDAmPldJk97UYftwdOp9BXHug61mJv7Tz7al1qDgFz/wMgxk8mz3e0Sp3m7sGcke5PLV6DuTL5/OPkHsZ6yTF3N9TJJJ92ZKxt2LSWhBihYbV8DeyxsWv/Gu1BPpni9u3lQeY5t8kcGXROm5GNPmFlsOr+JeSKiTVF1JkREhoiBPa8Qe44Yp2qUDZKgoKs2pwkEcyLh/svmyxj9vkfSYHr0xTRD5qb57gqMvt98r8HrJn93OQ5oWu5/hnTxp3B0kPs9Jt5LAif+qQseBX6RcQUF/F1mAsJ3h/XaWHPuPp1904DFgzPX69Wb4P5kPrhsJs3C/4cGnxCnmdBhc3IKHWLBV1ehGU48ofC7iNxdDkLngR2vMxvQz6x/yx8GXsKb3+ivsE4C9wfrligLsnwaOOU4wbxyKGrLJ7vHjdgg1azsGTIXja4HLyvrHqADRab9s3l5bLhY3fguft+2G8G3OJ7U1AXDqqDZDYbBLeW3nCtZcNTx5yj4U/ZcDLogkn2EzYM2qwQS3nH6IKY8Xi1rwj203qHGYaSBCSmepnKI5duX6F0IncJAeXnhz5t0GD8Y1n5Xt0QZwJOjl/37D5GwFnhRJclqIfGP/8e4CEAYixzM5E/9Hwd2pLuEfDFvvd4SCX2Gv9XtnnYdzv/xl/RQf843iW3Zy1yB7u8YNpM9Jez+SoZ4pg3S/UOWD6SRH7IVrkng/3mbmzJgUVLGF71stG1X+9CwnyT6v4lXMwLqJ23Anl17epqo+2FjH9kx565V9dIwrISn1OjL0ng7X7bpPiJ4dVU24U3mgUpUPqlZxqCesnUlP9UKU2B+MyiqjygYEckZ6YZckeDoO1P+XJn+HwwvSetzRlm68J1ot4ZHDsIa4UfzpDxy1TLXpAFTnO3S/kIseChxMPwE8IskCbF0j4vY8HcuXcLM4EFfWpLJ16jr5TVmGcFYv5YGId7LQtggWCx6ZuUcBZ8lUzoUMjHXhK3b0V2MQu8/ntAkwUfLhkqvGhnwfcNR59w8Kr1K3Gd9jfUZcDLrjLsMyUxWk5i8pgPhTl56gpssA6tHJqB+jHpjnXlrMZc2P1yby+gTg5VLpbczuxhPr86dqXkKMOryi8OI3mywcl72cuzd9iQcovvRGsFG/ZK1X0zbsJefJUv6Q323l3E5RNXu5i+GyaidSV2MXPeg1bOHqvCq8wVroWuJgGyL3YsjNmHn08pdKzGXnPt0Y5tV7D3vrYZ4+6KJGDFVzXR58grn6au/v41hJmnpjoNE/sTCVh06p1KRBpzrszD9lPcpbfMcw2Tz8dN7v8V/xuIY84U5i2R4SMh7K+AlocQCWVlySoEckuJwMHaClMS6DKhunMe2J91DaIVQ5nzRPeTRGVv5DB5VNr57RH/AxICrgrMqczH3iMYluwp7AxV3ySNdwk6wxYJ3tlBIs4QF2rU82M+8z6HN+RumKIziL1cEOyi7Qz/VGBu5AxCS/sXPd3tDP4j/n0lXGfw1jE7KR7gDGYH7zzYHYL/3gqrO/MTnMHivwfGnKFfttFet8YZDvw7jv7KGf6z3xfOkF14JGH6H2dIcJJOeYr6W8G/XSVIDvVlm6TUIc+CXl49zYj1yDV2Ig/H9Vmwqco+3UGHBX5dhiEJ6Fc7vfzXqyMPLxLJrXlzEPVG/G3aFszwj/auaVjxsT9vOZ5ljv7VMSaRvhn7kq3I7HCHIcxBDe/aMMy14MYcjgxez+QVp8/lYUOh277guilsKCJsYqox3yLen2PZS7PBs3fW5+DNDB+3i7rotqKPBf763f+AZsPKRxFVl5B3zkfKZkSksqE87IL6xdtsuLFxi7ZTDRvsHo65fa1mQ/+BZdPTXrMh2uTGlai3bHCHzZs9W5jzSF6Osgvv/mbmud5xE+2zsF/5POlMtkZdZriGZs7RZPRpYCOs/xcIWPBL+12aAXPeYHLu33P6YNhWC+Z5vKtTVoz+imPmuf8P6X826w==AQAAAACAAAAQRAAAEC8AAA==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AQAAAACAAAAQRAAAWQsAAA==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AQAAAACAAACCCAAAGQAAAA==eJzj5BwFo2AUjIJRMApGwSigNwAA+uhMkw==
26
+ </AppendedData>
27
+ </VTKFile>
CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/Lambda/Lambda_1_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/Lambda/Lambda_2_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/Lambda/Lambda_300000.pvtu ADDED
@@ -0,0 +1,33 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <VTKFile type="PUnstructuredGrid" version="0.1"
3
+ byte_order="LittleEndian"
4
+ compressor="vtkZLibDataCompressor">
5
+ <PUnstructuredGrid GhostLevel="0">
6
+ <PCellData>
7
+ <PDataArray type="Float64" Name="id"/>
8
+ <PDataArray type="Float64" Name="xc"/>
9
+ <PDataArray type="Float64" Name="yc"/>
10
+ <PDataArray type="Float64" Name="c_6[1]"/>
11
+ <PDataArray type="Float64" Name="c_6[2]"/>
12
+ </PCellData>
13
+ <PPoints>
14
+ <PDataArray type="Float32" Name="Points" NumberOfComponents="3"/>
15
+ </PPoints>
16
+ <Piece Source="Lambda_0_300000.vtu"/>
17
+ <Piece Source="Lambda_1_300000.vtu"/>
18
+ <Piece Source="Lambda_2_300000.vtu"/>
19
+ <Piece Source="Lambda_3_300000.vtu"/>
20
+ <Piece Source="Lambda_4_300000.vtu"/>
21
+ <Piece Source="Lambda_5_300000.vtu"/>
22
+ <Piece Source="Lambda_6_300000.vtu"/>
23
+ <Piece Source="Lambda_7_300000.vtu"/>
24
+ <Piece Source="Lambda_8_300000.vtu"/>
25
+ <Piece Source="Lambda_9_300000.vtu"/>
26
+ <Piece Source="Lambda_10_300000.vtu"/>
27
+ <Piece Source="Lambda_11_300000.vtu"/>
28
+ <Piece Source="Lambda_12_300000.vtu"/>
29
+ <Piece Source="Lambda_13_300000.vtu"/>
30
+ <Piece Source="Lambda_14_300000.vtu"/>
31
+ <Piece Source="Lambda_15_300000.vtu"/>
32
+ </PUnstructuredGrid>
33
+ </VTKFile>
CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/Lambda/Lambda_3_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/Lambda/Lambda_4_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/Lambda/Lambda_5_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/Lambda/Lambda_6_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/Lambda/Lambda_7_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/Lambda/Lambda_8_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/Lambda/Lambda_9_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/Surf.pvd ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <VTKFile type="Collection" version="0.1"
3
+ byte_order="LittleEndian"
4
+ compressor="vtkZLibDataCompressor">
5
+ <Collection>
6
+ <DataSet timestep="300000" group="" part="0"
7
+ file="Surf/Surf_300000.vtu"/>
8
+ </Collection>
9
+ </VTKFile>
CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/config.txt ADDED
@@ -0,0 +1,78 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ variable BZ equal 1.380649E-23
2
+ variable PI equal 3.1415926536
3
+ variable molecular_mass equal 6.63E-26
4
+ variable molecular_diameter equal 4.17E-10
5
+ variable gamma equal 1.666666667
6
+ variable R equal ${BZ}/${molecular_mass}
7
+ variable L equal 1.0
8
+ variable xmin equal -5.0
9
+ variable xmax equal 6.0
10
+ variable ymin equal -5.0
11
+ variable ymax equal 5.0
12
+ variable Kn equal 0.12
13
+ variable Ma equal 2.5
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/Kn0p12/simulation0156_Kn0p12Ma2p5/cylinder.surf ADDED
@@ -0,0 +1,410 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ surf file from Pointwise
2
+
3
+ 200 points
4
+ 200 lines
5
+
6
+ Points
7
+
8
+ 1 0.5 0.0
9
+ 2 0.499753280182866E+000 -0.157053795390643E-001
10
+ 3 0.499013364214136E+000 -0.313952597646568E-001
11
+ 4 0.497780982301540E+000 -0.470541566592573E-001
12
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CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/gas.species ADDED
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+ # Species data
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+ # species name
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+ # molecular weight (atomic mass units, e.g. 16 for oxygen)
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+ # molecular mass (kg)
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+ # rotational degrees of freedom (integer, unitless)
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+ # inverse rotational relaxtion number (unitless)
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+ # inverse vibrational relaxation number (unitless)
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+ # species weight (unitless)
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+ # multiple of electon charge (1 for a proton)
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+ Ar 39.95 6.63E-26 0 0.0 0 0.0 0.0 1.0 0.0
CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/gas.vhs ADDED
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9
+ Ar 4.17e-10 0.81 273 1.0
CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/grid/Grid_0_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/grid/Grid_10_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/grid/Grid_11_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/grid/Grid_12_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/grid/Grid_13_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/grid/Grid_14_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/grid/Grid_15_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/grid/Grid_1_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/grid/Grid_2_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/grid/Grid_300000.pvtu ADDED
@@ -0,0 +1,41 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <VTKFile type="PUnstructuredGrid" version="0.1"
3
+ byte_order="LittleEndian"
4
+ compressor="vtkZLibDataCompressor">
5
+ <PUnstructuredGrid GhostLevel="0">
6
+ <PCellData>
7
+ <PDataArray type="Float64" Name="id"/>
8
+ <PDataArray type="Float64" Name="xc"/>
9
+ <PDataArray type="Float64" Name="yc"/>
10
+ <PDataArray type="Float64" Name="f_1[1]"/>
11
+ <PDataArray type="Float64" Name="f_1[2]"/>
12
+ <PDataArray type="Float64" Name="f_1[3]"/>
13
+ <PDataArray type="Float64" Name="f_1[4]"/>
14
+ <PDataArray type="Float64" Name="f_1[5]"/>
15
+ <PDataArray type="Float64" Name="f_1[6]"/>
16
+ <PDataArray type="Float64" Name="f_1[7]"/>
17
+ <PDataArray type="Float64" Name="f_1[8]"/>
18
+ <PDataArray type="Float64" Name="f_1[9]"/>
19
+ <PDataArray type="Float64" Name="f_1[10]"/>
20
+ </PCellData>
21
+ <PPoints>
22
+ <PDataArray type="Float32" Name="Points" NumberOfComponents="3"/>
23
+ </PPoints>
24
+ <Piece Source="Grid_0_300000.vtu"/>
25
+ <Piece Source="Grid_1_300000.vtu"/>
26
+ <Piece Source="Grid_2_300000.vtu"/>
27
+ <Piece Source="Grid_3_300000.vtu"/>
28
+ <Piece Source="Grid_4_300000.vtu"/>
29
+ <Piece Source="Grid_5_300000.vtu"/>
30
+ <Piece Source="Grid_6_300000.vtu"/>
31
+ <Piece Source="Grid_7_300000.vtu"/>
32
+ <Piece Source="Grid_8_300000.vtu"/>
33
+ <Piece Source="Grid_9_300000.vtu"/>
34
+ <Piece Source="Grid_10_300000.vtu"/>
35
+ <Piece Source="Grid_11_300000.vtu"/>
36
+ <Piece Source="Grid_12_300000.vtu"/>
37
+ <Piece Source="Grid_13_300000.vtu"/>
38
+ <Piece Source="Grid_14_300000.vtu"/>
39
+ <Piece Source="Grid_15_300000.vtu"/>
40
+ </PUnstructuredGrid>
41
+ </VTKFile>
CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/grid/Grid_3_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/grid/Grid_4_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/grid/Grid_6_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/grid/Grid_7_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/grid/Grid_8_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/grid/Grid_9_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/grid/final-grid.dat ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/log.sparta ADDED
@@ -0,0 +1,319 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ SPARTA (4 Sep 2024)
2
+ Running on 128 MPI task(s)
3
+ variable BZ equal 1.380649E-23
4
+ variable PI equal 3.1415926536
5
+ variable molecular_mass equal 6.63E-26
6
+ variable molecular_diameter equal 4.17E-10
7
+ variable gamma equal 1.666666667
8
+ variable R equal ${BZ}/${molecular_mass}
9
+ variable R equal 1.380649e-23/${molecular_mass}
10
+ variable R equal 1.380649e-23/6.63e-26
11
+ variable L equal 1.0
12
+ variable xmin equal -5.0
13
+ variable xmax equal 6.0
14
+ variable ymin equal -5.0
15
+ variable ymax equal 5.0
16
+ variable Kn equal 0.12
17
+ variable Ma equal 2.5
18
+ variable To equal 273.0
19
+ variable Tb equal 273.0
20
+ variable theta equal 0.0
21
+ variable mfp equal ${Kn}*${L}
22
+ variable mfp equal 0.12*${L}
23
+ variable mfp equal 0.12*1
24
+ variable cpmfp equal 4
25
+ variable nden equal 1.0/sqrt(2.0)/${PI}/${molecular_diameter}/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
26
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/${molecular_diameter}/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
27
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
28
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(${mfp}/${cpmfp}*${Kn})
29
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.12/${cpmfp}*${Kn})
30
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.12/4*${Kn})
31
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.12/4*0.12)
32
+ variable sos equal sqrt(${gamma}*${R}*${To})
33
+ variable sos equal sqrt(1.666666667*${R}*${To})
34
+ variable sos equal sqrt(1.666666667*208.242684766214*${To})
35
+ variable sos equal sqrt(1.666666667*208.242684766214*273)
36
+ variable vo equal ${Ma}*${sos}
37
+ variable vo equal 2.5*${sos}
38
+ variable vo equal 2.5*307.815564238681
39
+ variable vx equal ${vo}*cos(${theta}*2*PI/360)
40
+ variable vx equal 769.538910596703*cos(${theta}*2*PI/360)
41
+ variable vx equal 769.538910596703*cos(0*2*PI/360)
42
+ variable vy equal ${vo}*sin(${theta}*2*PI/360)
43
+ variable vy equal 769.538910596703*sin(${theta}*2*PI/360)
44
+ variable vy equal 769.538910596703*sin(0*2*PI/360)
45
+ variable ppc equal 30
46
+ variable xncells equal (${xmax}-${xmin})/${mfp}*${cpmfp}
47
+ variable xncells equal (6-${xmin})/${mfp}*${cpmfp}
48
+ variable xncells equal (6--5)/${mfp}*${cpmfp}
49
+ variable xncells equal (6--5)/0.12*${cpmfp}
50
+ variable xncells equal (6--5)/0.12*4
51
+ variable yncells equal (${ymax}-${ymin})/${mfp}*${cpmfp}
52
+ variable yncells equal (5-${ymin})/${mfp}*${cpmfp}
53
+ variable yncells equal (5--5)/${mfp}*${cpmfp}
54
+ variable yncells equal (5--5)/0.12*${cpmfp}
55
+ variable yncells equal (5--5)/0.12*4
56
+ variable Fnum equal ${nden}*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
57
+ variable Fnum equal 3.59551014725462e+20*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
58
+ variable Fnum equal 3.59551014725462e+20*(6-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
59
+ variable Fnum equal 3.59551014725462e+20*(6--5)*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
60
+ variable Fnum equal 3.59551014725462e+20*(6--5)*(5-${ymin})/${ppc}/${xncells}/${yncells}
61
+ variable Fnum equal 3.59551014725462e+20*(6--5)*(5--5)/${ppc}/${xncells}/${yncells}
62
+ variable Fnum equal 3.59551014725462e+20*(6--5)*(5--5)/30/${xncells}/${yncells}
63
+ variable Fnum equal 3.59551014725462e+20*(6--5)*(5--5)/30/366.666666666667/${yncells}
64
+ variable Fnum equal 3.59551014725462e+20*(6--5)*(5--5)/30/366.666666666667/333.333333333333
65
+ variable tstep equal (-${xmin}+${xmax})/${vx}/${xncells}/10/4
66
+ variable tstep equal (--5+${xmax})/${vx}/${xncells}/10/4
67
+ variable tstep equal (--5+6)/${vx}/${xncells}/10/4
68
+ variable tstep equal (--5+6)/769.538910596703/${xncells}/10/4
69
+ variable tstep equal (--5+6)/769.538910596703/366.666666666667/10/4
70
+ variable nave equal 10000
71
+ variable noutput equal 300000
72
+ clear
73
+ Running on 128 MPI task(s)
74
+ shell mkdir output
75
+ shell mkdir grid
76
+ shell mkdir surf
77
+ seed 7
78
+ dimension 2
79
+ global nrho ${nden}
80
+ global nrho 3.59551014725462e+20
81
+ global fnum ${Fnum}
82
+ global fnum 1.07865304417639e+16
83
+ timestep ${tstep}
84
+ timestep 9.74609587211707e-07
85
+ global gridcut 1.0 particle/reorder 100 comm/sort yes
86
+ region 1 cylinder z 0.0 0.0 3.50 -0.5 0.5
87
+ region 2 cylinder z 0.0 0.0 2.00 -0.5 0.5
88
+ region 3 cylinder z 0.0 0.0 0.80 -0.5 0.5
89
+ boundary o o p
90
+ create_box ${xmin} ${xmax} ${ymin} ${ymax} -0.5 0.5
91
+ create_box -5 ${xmax} ${ymin} ${ymax} -0.5 0.5
92
+ create_box -5 6 ${ymin} ${ymax} -0.5 0.5
93
+ create_box -5 6 -5 ${ymax} -0.5 0.5
94
+ create_box -5 6 -5 5 -0.5 0.5
95
+ Created orthogonal box = (-5 -5 -0.5) to (6 5 0.5)
96
+ create_grid ${xncells} ${yncells} 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
97
+ create_grid 366.666666666667 ${yncells} 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
98
+ create_grid 366.666666666667 333.333333333333 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
99
+ Created 528090 child grid cells
100
+ CPU time = 0.438562 secs
101
+ create/ghost percent = 0.674437 99.3256
102
+ balance_grid rcb cell
103
+ Balance grid migrated 527129 cells
104
+ CPU time = 0.389041 secs
105
+ reassign/sort/migrate/ghost percent = 17.8127 0.0375354 6.80465 75.3451
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 769.538910596703 ${vy} 0.0 temp ${To}
110
+ mixture air Ar vstream 769.538910596703 0 0.0 temp ${To}
111
+ mixture air Ar vstream 769.538910596703 0 0.0 temp 273
112
+ collide vss air gas.vhs
113
+ collide_modify vremax 100 yes remain no nearcp yes 10
114
+ read_surf cylinder.surf
115
+ 200 lines
116
+ -0.5 0.5 xlo xhi
117
+ -0.5 0.5 ylo yhi
118
+ 0 0 zlo zhi
119
+ 0.0157073 min line length
120
+ 1068 0 = cells overlapping surfs, overlap cells with unmarked corner pts
121
+ 471864 55158 1068 = cells outside/inside/overlapping surfs
122
+ 1068 = surf cells with 1,2,etc splits
123
+ 109.215 109.215 = cell-wise and global flow volume
124
+ CPU time = 0.412375 secs
125
+ read/check/sort/surf2grid/ghost/inout/particle percent = 6.61528 6.97353 0.713924 11.1124 74.5849 12.6221 0.0273147
126
+ surf2grid time = 0.0458249 secs
127
+ map/comm1/comm2/comm3/comm4/split percent = 34.98 13.5322 12.4437 1.47582 6.23565 3.55531
128
+ surf_collide 1 diffuse 273.0 1.0
129
+ surf_modify all collide 1
130
+ fix in emit/face air xlo ylo yhi
131
+ balance_grid rcb cell
132
+ Balance grid migrated 4498 cells
133
+ CPU time = 0.255743 secs
134
+ reassign/sort/migrate/ghost percent = 1.59976 0.0291617 3.76665 94.6044
135
+ create_particles air n 0
136
+ WARNING: Created unexpected # of particles: 3640487 versus 3640491 (../create_particles.cpp:346)
137
+ Created 3640487 particles
138
+ CPU time = 0.0568003 secs
139
+ stats 10000
140
+ stats_style step cpu np nattempt ncoll nscoll npave nscollave
141
+ run 200000
142
+ Memory usage per proc in Mbytes:
143
+ particles (ave,min,max) = 3.82324 0 13.5
144
+ grid (ave,min,max) = 18.2252 2.45129 34.8263
145
+ surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
146
+ total (ave,min,max) = 22.0691 9.59689 43.2844
147
+ Step CPU Np Natt Ncoll Nscoll Npave Nscollave
148
+ 0 0 3640487 0 0 0 0 0
149
+ 10000 148.27414 3686914 271634 222681 23 3649054 28.6288
150
+ 20000 365.23661 3852558 299212 247582 26 3716855.1 28.4686
151
+ 30000 607.89541 3912448 307376 255229 35 3774034.6 28.515467
152
+ 40000 853.34495 3932500 310287 257811 19 3811637.5 28.57595
153
+ 50000 1100.9471 3937321 310655 258017 35 3836472.5 28.62394
154
+ 60000 1347.5801 3941649 311457 258634 27 3853826 28.67185
155
+ 70000 1595.3171 3942602 311085 258574 20 3866546.8 28.714729
156
+ 80000 1842.4158 3943354 311122 258008 30 3876118.9 28.733187
157
+ 90000 2090.2593 3943133 311453 258963 32 3883720.6 28.756567
158
+ 100000 2336.8167 3943529 311297 258629 29 3889726 28.76483
159
+ 110000 2584.4605 3944736 311256 258599 32 3894659.8 28.778673
160
+ 120000 2832.7319 3943317 311017 258337 27 3898770.7 28.794183
161
+ 130000 3078.7757 3939891 310959 258246 35 3902058.1 28.797738
162
+ 140000 3324.2617 3942925 310952 257935 31 3904828.8 28.799907
163
+ 150000 3569.8033 3944043 311228 258483 27 3907433.9 28.813533
164
+ 160000 3816.9559 3942504 310730 257821 25 3909747.4 28.814625
165
+ 170000 4063.6529 3941904 311141 258445 29 3911699.3 28.815512
166
+ 180000 4310.2415 3942159 310990 258625 24 3913423.8 28.820883
167
+ 190000 4557.6815 3940943 310735 257974 27 3914885.5 28.832189
168
+ 200000 4805.314 3944656 311481 258847 24 3916254.1 28.83628
169
+ Loop time of 4805.32 on 128 procs for 200000 steps with 3944656 particles
170
+
171
+ MPI task timing breakdown:
172
+ Section | min time | avg time | max time |%varavg| %total
173
+ ---------------------------------------------------------------
174
+ Move | 0.041399 | 137.28 | 696.99 |1307.6 | 2.86
175
+ Coll | 2.6342 | 396.93 | 3398.3 |2996.3 | 8.26
176
+ Sort | 2.1365 | 98.84 | 498.86 |1213.9 | 2.06
177
+ Comm | 166.74 | 203.88 | 221.75 | 91.3 | 4.24
178
+ Modify | 0.054893 | 0.82199 | 12.383 | 202.6 | 0.02
179
+ Output | 0.031238 | 0.3143 | 0.3595 | 11.1 | 0.01
180
+ Other | | 3967 | | | 82.56
181
+
182
+ Particle moves = 783250815537 (783B)
183
+ Cells touched = 821919735132 (822B)
184
+ Particle comms = 600831442 (601M)
185
+ Boundary collides = 0 (0K)
186
+ Boundary exits = 63294208 (63.3M)
187
+ SurfColl checks = 186946663 (187M)
188
+ SurfColl occurs = 5767256 (5.77M)
189
+ Surf reactions = 0 (0K)
190
+ Collide attempts = 69484097842 (69.5B)
191
+ Collide occurs = 51841759033 (51.8B)
192
+ Reactions = 0 (0K)
193
+ Particles stuck = 0
194
+ Axisymm bad moves = 0
195
+
196
+ Particle-moves/CPUsec/proc: 1.27341e+06
197
+ Particle-moves/step: 3.91625e+06
198
+ Cell-touches/particle/step: 1.04937
199
+ Particle comm iterations/step: 1
200
+ Particle fraction communicated: 0.0007671
201
+ Particle fraction colliding with boundary: 0
202
+ Particle fraction exiting boundary: 8.08096e-05
203
+ Surface-checks/particle/step: 0.00023868
204
+ Surface-collisions/particle/step: 7.36323e-06
205
+ Surf-reactions/particle/step: 0
206
+ Collision-attempts/particle/step: 0.0887124
207
+ Collisions/particle/step: 0.0661879
208
+ Reactions/particle/step: 0
209
+
210
+ Particles: 30817.6 ave 186302 max 0 min
211
+ Histogram: 82 14 6 4 6 6 6 0 2 2
212
+ Cells: 4125.7 ave 4126 max 4125 min
213
+ Histogram: 38 0 0 0 0 0 0 0 0 90
214
+ GhostCell: 105920 ave 194636 max 5730 min
215
+ Histogram: 24 7 11 10 18 2 6 4 16 30
216
+ EmptyCell: 0 ave 0 max 0 min
217
+ Histogram: 128 0 0 0 0 0 0 0 0 0
218
+ Surfs: 200 ave 200 max 200 min
219
+ Histogram: 128 0 0 0 0 0 0 0 0 0
220
+ GhostSurf: 0 ave 0 max 0 min
221
+ Histogram: 128 0 0 0 0 0 0 0 0 0
222
+ compute 1 grid all air n nrho massrho u v w
223
+ compute 2 grid all air trot
224
+ compute 3 tvib/grid all air
225
+ compute 4 thermal/grid all air press temp
226
+ fix 1 ave/grid all 1 ${nave} ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
227
+ fix 1 ave/grid all 1 10000 ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
228
+ fix 1 ave/grid all 1 10000 10000 c_1[*] c_4[*] c_2[*] c_3[*] ave running
229
+ dump 1 grid all ${noutput} output/grid.*.dat id xc yc f_1[*]
230
+ dump 1 grid all 300000 output/grid.*.dat id xc yc f_1[*]
231
+ dump_modify 1 format float %12.5g
232
+ compute 5 surf all air n press px py shx shy fx fy etot erot evib
233
+ fix 2 ave/surf all 1 ${nave} ${nave} c_5[*] ave running
234
+ fix 2 ave/surf all 1 10000 ${nave} c_5[*] ave running
235
+ fix 2 ave/surf all 1 10000 10000 c_5[*] ave running
236
+ dump 2 surf all ${noutput} output/surf.*.dat id v1x v1y v2x v2y f_2[*]
237
+ dump 2 surf all 300000 output/surf.*.dat id v1x v1y v2x v2y f_2[*]
238
+ dump_modify 2 format float %12.5g
239
+ compute 6 lambda/grid f_1[2] f_1[8] Ar kx
240
+ dump 3 grid all ${noutput} output/lambdakn.*.dat id xc yc c_6[*]
241
+ dump 3 grid all 300000 output/lambdakn.*.dat id xc yc c_6[*]
242
+ dump_modify 3 format float %12.5g
243
+ run 100000
244
+ Memory usage per proc in Mbytes:
245
+ particles (ave,min,max) = 4.32422 0 20.25
246
+ grid (ave,min,max) = 18.2252 2.45129 34.8263
247
+ surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
248
+ total (ave,min,max) = 23.9553 10.982 44.6695
249
+ Step CPU Np Natt Ncoll Nscoll Npave Nscollave
250
+ 200000 0 3944656 311481 258847 0 0 0
251
+ 210000 362.95586 3941840 311164 258568 29 3942246.1 28.8708
252
+ 220000 726.52559 3940238 310938 258231 23 3941645.4 28.89785
253
+ 230000 1090.5906 3942318 311047 258262 30 3941554.3 28.898367
254
+ 240000 1453.3052 3942469 310863 258017 34 3941614.2 28.890725
255
+ 250000 1819.3501 3943002 311389 258096 25 3942099.8 28.88404
256
+ 260000 2183.1059 3943185 311258 258645 29 3942235.1 28.885967
257
+ 270000 2548.7357 3940829 311479 258877 25 3942287 28.894543
258
+ 280000 2912.8786 3941683 310925 257963 36 3942277 28.898788
259
+ 290000 3276.8825 3942785 311508 258550 31 3942232.1 28.904089
260
+ 300000 3641.2109 3942442 311397 258813 17 3942249.7 28.90176
261
+ Loop time of 3641.21 on 128 procs for 100000 steps with 3942442 particles
262
+
263
+ MPI task timing breakdown:
264
+ Section | min time | avg time | max time |%varavg| %total
265
+ ---------------------------------------------------------------
266
+ Move | 0.040607 | 70.711 | 356.02 | 908.4 | 1.94
267
+ Coll | 1.4874 | 215.04 | 1959.9 |2195.6 | 5.91
268
+ Sort | 5.8412 | 59.431 | 253.72 | 853.7 | 1.63
269
+ Comm | 95.194 | 116.17 | 126.14 | 66.4 | 3.19
270
+ Modify | 34.378 | 189.24 | 903.9 |1539.7 | 5.20
271
+ Output | 0.21324 | 0.2148 | 0.2183 | 0.2 | 0.01
272
+ Other | | 2990 | | | 82.13
273
+
274
+ Particle moves = 394224972593 (394B)
275
+ Cells touched = 413644498809 (414B)
276
+ Particle comms = 301665417 (302M)
277
+ Boundary collides = 0 (0K)
278
+ Boundary exits = 31800927 (31.8M)
279
+ SurfColl checks = 93797712 (93.8M)
280
+ SurfColl occurs = 2890176 (2.89M)
281
+ Surf reactions = 0 (0K)
282
+ Collide attempts = 35337613875 (35.3B)
283
+ Collide occurs = 26356069992 (26.4B)
284
+ Reactions = 0 (0K)
285
+ Particles stuck = 0
286
+ Axisymm bad moves = 0
287
+
288
+ Particle-moves/CPUsec/proc: 845840
289
+ Particle-moves/step: 3.94225e+06
290
+ Cell-touches/particle/step: 1.04926
291
+ Particle comm iterations/step: 1
292
+ Particle fraction communicated: 0.000765211
293
+ Particle fraction colliding with boundary: 0
294
+ Particle fraction exiting boundary: 8.0667e-05
295
+ Surface-checks/particle/step: 0.000237929
296
+ Surface-collisions/particle/step: 7.33129e-06
297
+ Surf-reactions/particle/step: 0
298
+ Collision-attempts/particle/step: 0.0896382
299
+ Collisions/particle/step: 0.0668554
300
+ Reactions/particle/step: 0
301
+
302
+ Particles: 30800.3 ave 186370 max 0 min
303
+ Histogram: 82 14 6 4 6 6 6 1 1 2
304
+ Cells: 4125.7 ave 4126 max 4125 min
305
+ Histogram: 38 0 0 0 0 0 0 0 0 90
306
+ GhostCell: 105920 ave 194636 max 5730 min
307
+ Histogram: 24 7 11 10 18 2 6 4 16 30
308
+ EmptyCell: 0 ave 0 max 0 min
309
+ Histogram: 128 0 0 0 0 0 0 0 0 0
310
+ Surfs: 200 ave 200 max 200 min
311
+ Histogram: 128 0 0 0 0 0 0 0 0 0
312
+ GhostSurf: 0 ave 0 max 0 min
313
+ Histogram: 128 0 0 0 0 0 0 0 0 0
314
+ write_grid grid/final-grid.dat
315
+ grid cells = 528090
316
+ CPU time = 0.0681195 secs
317
+ write_surf surf/geom.surf
318
+ surf elements = 200
319
+ CPU time = 0.00341129 secs
CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/mir.txt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ dimension 2
2
+ create_box -5.0 6.0 -5.0 5.0 -0.5 0.5
3
+ read_grid grid/final-grid.dat
CylinderKnMa/Kn0p12/simulation0156_Kn0p12Ma2p5/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]
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