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  1. .gitattributes +4 -0
  2. CylinderKnMa/Kn0p08/simulation0098_Kn0p08Ma6p7/Lambda/Lambda_14_300000.vtu +3 -0
  3. CylinderKnMa/Kn0p08/simulation0098_Kn0p08Ma6p7/grid/Grid_14_300000.vtu +3 -0
  4. CylinderKnMa/Kn0p08/simulation0098_Kn0p08Ma6p7/output/grid.300000.dat +3 -0
  5. CylinderKnMa/Kn0p08/simulation0098_Kn0p08Ma6p7/output/lambdakn.300000.dat +3 -0
  6. CylinderKnMa/Kn0p12/simulation0187_Kn0p12Ma5p6/surf/Surf_300000.vtu +38 -0
  7. CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/Grid.pvd +9 -0
  8. CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/Lambda.pvd +9 -0
  9. CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/Lambda/Lambda_0_300000.vtu +0 -0
  10. CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/Lambda/Lambda_10_300000.vtu +0 -0
  11. CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/Lambda/Lambda_11_300000.vtu +0 -0
  12. CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/Lambda/Lambda_12_300000.vtu +27 -0
  13. CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/Lambda/Lambda_13_300000.vtu +27 -0
  14. CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/Lambda/Lambda_14_300000.vtu +27 -0
  15. CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/Lambda/Lambda_15_300000.vtu +27 -0
  16. CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/Lambda/Lambda_1_300000.vtu +0 -0
  17. CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/Lambda/Lambda_2_300000.vtu +0 -0
  18. CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/Lambda/Lambda_300000.pvtu +33 -0
  19. CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/Lambda/Lambda_3_300000.vtu +0 -0
  20. CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/Lambda/Lambda_4_300000.vtu +0 -0
  21. CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/Lambda/Lambda_5_300000.vtu +0 -0
  22. CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/Lambda/Lambda_6_300000.vtu +0 -0
  23. CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/Lambda/Lambda_7_300000.vtu +0 -0
  24. CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/Lambda/Lambda_8_300000.vtu +0 -0
  25. CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/Lambda/Lambda_9_300000.vtu +0 -0
  26. CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/Surf.pvd +9 -0
  27. CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/config.txt +78 -0
  28. CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/cylinder.surf +410 -0
  29. CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/gas.species +14 -0
  30. CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/gas.vhs +9 -0
  31. CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/grid/Grid_0_300000.vtu +0 -0
  32. CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/grid/Grid_10_300000.vtu +0 -0
  33. CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/grid/Grid_11_300000.vtu +0 -0
  34. CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/grid/Grid_12_300000.vtu +0 -0
  35. CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/grid/Grid_13_300000.vtu +0 -0
  36. CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/grid/Grid_14_300000.vtu +0 -0
  37. CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/grid/Grid_15_300000.vtu +0 -0
  38. CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/grid/Grid_1_300000.vtu +0 -0
  39. CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/grid/Grid_2_300000.vtu +0 -0
  40. CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/grid/Grid_300000.pvtu +41 -0
  41. CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/grid/Grid_3_300000.vtu +0 -0
  42. CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/grid/Grid_4_300000.vtu +0 -0
  43. CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/grid/Grid_6_300000.vtu +0 -0
  44. CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/grid/Grid_7_300000.vtu +0 -0
  45. CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/grid/Grid_8_300000.vtu +0 -0
  46. CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/grid/Grid_9_300000.vtu +0 -0
  47. CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/grid/final-grid.dat +0 -0
  48. CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/log.sparta +319 -0
  49. CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/mir.txt +3 -0
  50. CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/output/surf.300000.dat +209 -0
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NF5nhOKg175xR4ibg/uo1XrNziThdXdZU5JEME71XwV3xKWA9jlTsGH6Mj0lGu94npKOrQDXvF5UszBDvL02ZPkGR/cng61ufYYcnNU38Qg7UbRxdCTUvVvjmgdgz9PydbD5ybMnsofpCWLTqM9wLipF155r32hclkH7N0TDbUwplEVKM8d1yDFr4uq4ZrkB4opr3RedKtAh/1vR6VQVrlmVvWW41MrNcfven1aCMn06Ldy3eF9Zzc+PqoU4z0X5s3whDz5tlxiebYSPewhFzakExq+R81a1WmCpc7NTuasOtR8VWiprtUDi6jmoQ1QG2Qs7Na7TOFW7daM3SeDjm14M6C4ZN88deLPlXh64m9GF6j5b8unf9EJbW+G236CB6VmeXR7cPQuhLC//EEIQkinwMTwzD3ivIIernEYwLd5lmPBuBVPUWsjxzFEFmZf7b9o7Be2PNxU9LYzhX0CG9/sY4PM9OpzxXmADXWJq/ygQMtneGUTw50IpOntMZ52BERm/2hAcXsfK3LNbyuEhM3BhFt5uEDlPio3rqJJ4Yu4XJTU9CQ5+YLLWVhzIHQ9dzTB48GsNb+wd5kGHfPPaUMIUNoev2hqhPgTFixXVY5CFv0itfaoEHST+6d8MoD5GqH0VLd09h3U0BaR5C4wsCXdJ4sGsy/yR3iYeJ6tkQ5Z95kPImmju/nIRl+oajyj6TaNJRIL5Z4ILgm97sF8lFhrD2/IZWDuqKJe1i/DmYlS0x+dwxgUL+beZqE+hZiolRSRvH5uT0e9mfxxDx6ME1O8IYkoji/BVH0WlZ2j1ePQKvV7tUDLaPIPLl6f4oj2FsOxDg3sbnbBXLrhofGQQ/TNHeLYMISjjLJzmw0tc+LNetvRdlhdymgNQeWJ+q65jf0Y0eW7N/zPM7Ub5eAKID0i4GNUqK7RBY4nRWG75yb9cfcmmFfaZ+w36rlhUPNCNtl7E8b7gR5imxJ3cV1iNwYR8fbS2STy94G12pwai54ENXY8L9MGGVGBv8UtN2mldC5V8buKuzwJaLN11yKIfgUtr5UtimsroOR5egKv5SgxC5GNe32R7/yacQf23SUaZz8pFmdUjCsTIP+nFhQ4pOuSj2UFD6MS4HxwS18MnG6tzOEvQ/hcXRRlaSbybeCmKxTseV72AhsNB5agpqDXs/xCUlw7j2xBP/fUmYnLrswXydgC9HDp9rTItDnWZ2WNWBe/BKuRDKfMiEGaUmh2JIx9e3xPbaECpyFBrs9RIjsazFzRQ0FwkGCYecdp+SCCkUgpQjjgRj/8CJyFg3MuYMFrupkqQVPwaCvZRLnMkJgtZykIEwZu8NlNhAQu8NgQDJmLaW5Ej4kSFcfltEdDEY39cK+/8dknGmTd5aCtb+EbCVYETBN8LiF5/BCMisOSOmmRuJzH2jV4qE+HPKFWjWukZj296rJtfdo+Fy6tm0ljQNWQs/pBp40uH752Q2KZuOwAo3vrr4nl/gvI9posNR13a3ehYD0x+IRaNFDEzxrWirwUDW8QcfPlkz8R+14BP9AQAAAACAAABABgAARwUAAA==eJw1lHs01GkYx610043JoiKR60oXl6aReh4ZwzBmSlJHra62slq6k3uS2NImbacLlUo7m1p1ttWFg7YUnUXs5hI1Y0aZJTNjZqi1an/vvO3vj9/tfc/3/T6f5yJgZ/tu6NbBREPXLPM2HThdzC6VKnQw95PtyODe/7+1UJlsvWgrVwfpjg8PX1utgWsJT1y88zTQXvLPuh2PB2D2yw8p0eUDINxksobzqxp8KkJ/tM1VQ6heQAWdY2fdyT7ZD4lHePtNFvfDs0v+v2lGeiF59PaaIoUC9knOm16teANlqVFX+S5yMPq0tjb3mBzUwSPl4sAusDjb69kUKoVoy6V2xVwJPODqXlSFSyBvtEDyolMKOxdprnNQCqOWwlGTmTJojg7s2KyQw7mSFVOe93TDKbXSY66VAmCPb/Kz830AodzDq8qVUNNx51BSoxq+7uCNip+gAQP9NQjTutZYlD0fgmrO7KDEjGE4kTLsHVc/AvKMwj9+bjDAGYWRLs9+MMRC5bWa4DIj/HQ7caB0+RhUOC4YV2I1HgmlOveJ2FwuM7OunYTWtd1wxcYUF38RcmjScRaePcNc08wwTHb13CPJlwir196q7LPAeZ32Y9JPTceaHZ5pZWiN+VmZEc0+NqjnzbJFPaZqOwyUHjC7GWCP2068SwKdAyaQg2OcqO4ZFyyxitiy+LUr6vOhdUPb0l3bTrjNx/DJbrcL5i1APf9kd1Qx9tliD1x+7PR3LJknkuw9DV9I4/iXjRZt9UMrMzj4u8553fGH3sjcdM5JPuhCXnqWoB7XRaA6CYh6+5t9sXzPSUsjx2WYGs28jfOj+1v9kIQ7q5SL04wYJ0X+9BnKw+o6xtDKAKrfF4DE7ruOQBrnaj7d5x6EZHnd6yD0irzPn5gXjDMIMF8BMsX0Z7xYgIR+BDcE3w6L1U0VIfhaRAITIvm9JVGI38cwK7eEGMvKqKqzFeEOsvGgCIlNy3wR9ieBV2S7iOoXiVDfFvUiyqNEhDaZvSvu3hRRvrEidGDC9XMV4V4m3PCPQpqHJCGSUzNmCalOUwjN8/KQz3oC/InBlW0qoPm5EozFBEtXEF6JW2Lc4hFE6yqLT8+pDKT56gzA9ysZIbMA6n8jD4na0El/yrWRi6F3Z2b2qv2Q2Jls7UfzyVtG/eX6Ystl5oDTiN2NdkzHAjJFxBBeisZkIdoHB5pCNpm0emMz81iTwEEtg1Xxhk3940LkEdCtnrQuLntQblvccTcpxNQFVJ89/zP3ubRuDrrik2AyaFxQoJ83TkjnjQNuIEYS7FFQbMxzOGWHpDyVAbYYobvXnrPEhp4js8JtdjHxB6KmY1Vfoc+cfEvs3njphWesOdK+NMOvxFMbua0s3N3CGvA9boIEzyX/KbiWNGDBBLz/7fgPF9+OQ6b7RL/kj8XcMSrzwEYj3JWTKx+4YIh+N7a/2pljgH+9jXYdPD0Cbev3iWaaD4OtjTYmPPk96OssfRC26jdogPa3Gl7mjEQNyZUQJm4bdaOqF5y+qbCsy1ZA+6rAD/w7b6B+IbvYaY4cIh68W7a7QAb73YiiFNpumR5p0UmAGXY9g3lSCKupbLgbJ4Hr8bM1T2264KibEcd5owyE/fudjbUyeJUbF6Eq6oYGvnLG+sQemDN5a4rX2L/BQXG2lv2yF1ynpogvsPvAepdHR1qDElIJliMqyCI2H6ng8UcyoNSw3SA23eixGvT55QxA+WiWGdRoQI8lSgvM0GAypwUyVrwitZCxgl+Q5qiDWFVmbVi1DibYO6ccvacFZjgavDIchP8AC7zeYg==AQAAAACAAABABgAAsgUAAA==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AQAAAACAAABABgAA9wUAAA==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AQAAAACAAABABgAAHgYAAA==eJwtk4k3FAgcxyMdSrYWEZolKu2GnIny02taSslEM1HsGEfryBHGUQYNGjHOmVSSI9qQ8EhZ9FOGhJw5HjWRW5hQyrVWvf6A73uf75WXFVK8LHQDX2TZN2rNctEosimFuszFkD2r1xX7cDH0xiOq3BQHtwsbC2/S5eItVSupvl2JmGCYlwHaibidolTWqpmALdz1lssKCfh1NUHG6FscQvbsqH9DHP536/AV6stYHOdf54noRCNLPFQpdG0UWldUTTQXsPDqpZ5nxkvh+KcWtTs07Cq6V6msJ7xnoKbC5YqF/iDkzmXclC7zx305CyVb5X3wTUGYtf9qLxS14Jj2S7ujc5mFaRjFDbGe/CDY2gmDrxsGEvZfwMf50/9qazvgyMS2NhslezyUN95gZu6AigYe9kVKjhikK628I52Gnw4/0w+ascO1EsGSvkO2uJmZf/cYyQat1eRSZizOI7XyrZ63FRm7LjrfNMs+jlMKR0vIKkb4xuOza90tXYiW7+rVqrUAl9/3iZbrOYGApCxiruENwyqzEYUG3jB04OVOLWYQ8LWeDN+VDYM506h5ZT8WNKWLndHgxgAtddX1+J2J8NjTKvz1qiSo0JX7Q6PpNogNEss27EkFNfrCQ02LDCgYWvVc/tB9YNSee8Rwy4E7/OoFr4U8kM3s3TNwvBD0rlpe384ugs869Y73vEuAwD6ypOZWCrbhnFTLhXKQL9yaKkythNL36SrNu1/AVpeTMzEWPNjtVCFTF1kDoYbxu4911kLypXC/UlY9dHi3LtR0NgKDIrJ87lUzMEnHUkJ2tQKFWjtGbmqDU/kcR5Z9O0yZLpVnm3TCG0eNwrmnXRBAeJvyuKcbHAzen2InvYWvBLUDkxw+RHeQ2kVIvRDntPd2o1kfFF2eLjB3/QDz08Lj9yz6gV9wkeTEHICuMuDnkgdBQXDmDwnGEGi0zeY/1B6GFfFXIZMR8EsvNVNSHQW6rHN2+fYxEInr5r1aGoNd7Bb9nNsfgV1syY/xHAfnftbjb5ITkBZZ0DfKnYBZmy2LHjsnoS6SLnWaMQlLs769d7YIoLOSLLr1mgC4VC+9mVwBULhBK44F0LjoIr65QQA0KQ8HwpwAYgj4ZLRJABLJsa5HqgWQsXHs3JCPAO4ePrIsIi2AXK4ovmmaBNpx5ZZ6lUnwp3VEpd+ZgGS974lPAF7Vtm/xGYdr/1DqNHkff+Y9Bq/oz1Jl1ceAOD/xsfLAKHyMCiu5YzoCVWXneX60YZCKt1shGAL1+Q2t0UcHISDf+tYn0wFg22QEulL7oY92dNN9uw9QIFeiWufWB3/DaWLEmV54J7a/d6aKDxbNEzvZLW/hYBbzS7B4D1TovwwZ/9IFMfmHipSNOqGuVyXAN6YdDvwYRhvorFDSNVt/9tkMs0nvEq+FN4Jtir3RbGA9HMtIIu19UgteQxTvEGoN+L4eSL7ozoNNVcY8jskLOP3DcCX8M2KitqxYAd8p1veVwqB4cm3DmhIQ2qZPN48sgtsbpkzKDxZC3r6gfEW9R2DcMD4jM5gN//Z8aZUUuv+T9x70SCiXlK1LgxO8c8Pv1ZKhvmN+R7pqEqhrdzpnZiWAZL1qXgSPDb+f7XfTF175lSCNUb7IhH0nhHhP6UFQs41Alkilw0kF3Yxqe0/IE2xqOj9lC9HfzBoCNSzBfXGAORdxEkTNU63kf5XFjTo3pk/fJCKpvrqx7qElWtmudiMVUNEhunhOWf4vPOs/TXRNc8Aq95g94mQahlTalgd60tBOMrt9MYWG3DU2YuqtjlhNLQ5iNNqjiA25fFzzArZ9C6ckHLyA6/Ntuj3PuuA2tmIWg+mKqzDuN4NST1RgfSDm8D2xrjA3uMaAjjZSD6p77QIx4qmKc/HGKziXY3ol0y8ElRyjMt+NMPFR11/0U4QILFFPk548z8JDdpHrOCcjkaI4uLvdkI2sX1UDDqrGIt8wt4HTEYvPH2SaGUnEo06SnJjv2Xikr6w/qyIevRJJjjJ+ifiLyYtnKUQOXvJgVBGZHPwQ7x+gT+HgJxnCgtVeLnr6Hya6dHMxxmftn7YdHBxweiqU+tsN/B8DWS3AAQAAAACAAABABgAAKQYAAA==eJwtkX08FAYcxnM1ISeX2uR1RpNQK2WE+2U1k06ZEKOxMaQlLwm547wn6To2JK9zOMpyR7nO3A+Xd+qce2mtic0kilK6ui1W++z5//l+nu/n+ZjWmFf/0y6InNPjK62dgdmYsNPYxAuoLyZaHJa/AY8DujGkjCDQ6HMX1maEgt2SUs52Og7Eq2TuerNoeLHbyY2+GAuXthqzCGmnYG9EimZXahzQhcrF12NxoBNWmdf6NB5+a9SvUYlJgL7WeKJSnASTNS9pBSpJkMXbfKxlDRVC2x5+d5OUBMXWS/6R0jPw3hRVk+NNA6vs6Hzn/VQo/dz+j3slybDi0PKSfXQy5G5L2aJjSofBLxS6X6akgXfUqPJGWxpY0S1Wrm7JAN8lqn+TVzbMx1Jb7ILPwtDTisjKjlwoW7ToDYlmwMJRt6M7LjDhs6+CRepVBaAk6hA9n/4ATlKTT4XEYvi2LYk+N3gJBrHwyM+tZeCoDPz58zWVUFVOJqS8qoKxfIOmK/3VsMFnC5utrAE3UeA0qboOVDNkwqKcBkg56JxsG9MINl7dXkr1a5B7Xsu1S8CBunyVynP6zTCQS+m4xmyBTyTfZPqTb8DGqML8v8x4YHTCgPN+BR90yR/V7lvXDlZpy40hvQKoaLq1cqC2AzbFEUrU9Lvg78TDTI1gIfRkrjTx67gF16iFDzt/74Y9rAcCrdJeeO5Xvjo+rB/8PmgdWTE2ABSvk8TvfxyC7reUgIlhWOWjZc0tuwPDj7jFd6kicDg8/UvP1hFY8V/E4K4dZ0yXiIH4RifgKnsUriSYPu8zloCRh+1fGvMSYE1K7VVDpLD6Usik1WMpXJ4yrJt2lYGUbMjYyJaBSVNMOPOJDLw72ayDe+Twrq3pKAc9pTnP90s59B74NMc5SA5v4Z07NeWQ+nhxjqGQgUugcwknXAakXj4vT1UGalcNvgpxkMKi4Nn1sEIJHPDLspN1v91DPuLPQTFI9u7kp98dAb4iqj+6TgTv63L50tjb/3sMAaF1bqpeqx8owqek7Zt64JHr1mWTN10wrt0geZwqAKo4Z9XhYR6E+KuW1oRwYNaW/UZ2kAXHb9roaD48B9NKsoHZvhxMhX/+UYzXYMPlXHyizkXGBKei25OHLVcuLhREIArLT786zu3CiZEe0vFn3TgeFmCnnd+PCtXAYsqGIdwvpwh+nbqNM+QV9e6lIiTZOrZ7Fo5gIfmUM21QjH65h1Q+KR9Fw6nBNU0MCZ6xfWcoRelARuDMQynuXV71gWWEDDdfjsmMvylD31h60AUjOVLXFhnEu8nRpM9Z3eaEHAmuJ/6YTJZjUN+Mz539cuwNN/R215bjgN6idt6cDHcVZ02YfivDsq25OcO9Upz/8HStKFGKwUXsMb27EvTU4LeztktQFtkmCqgbxY7H5Y5WEjGqv64Ma54ZwUSVlyP1liP4Z9TUkVi6CHmTvMO7fe+g55PRZ8Wpt1Evi3HWgjmE/92tGMAd8dYmxi/6UKXTwCn5ZC9yX1StmfHvQfffkCtm3cLfV394PadAiOcc9/NDFzrRIer2WfFYB+q37VuUdQgw8tgusznOL+jw4FBeUSQfd8SmDgYP81DTpzTCeugGpm+j1Gq4XEe76qkrk8HNeOxiWt1FSw6yJn64+dqlCbd11q81m7+Kodmvsq2dGnCw7FKQnZyNrTSGcnZDLbYzqu25C9Wol1vbXNBZhevcAtXs5ytQjzVuMelWhgPb/e6nhJTg+lmv1+XMYjy5Lr1joOpHZNSsPerxIB+fX7QwTmtgogalLk5fcgFPtc7WWBDOY/Bm83verjl4LWGGqdqaiXuEl3clBGai9U4ThYCQhnnNj9TGQ1OxyIYekL02FSUGEZsEZinY50Qwg+xkdNAaznLppGGJyIzDuk/Du5SNBX66NNydHifm2NPQ8DwtkkiiopGV2rlb9UlYEB65RVGXiGftFUTCRCI+2jGbJLSJR/PujyZkdqdx+8dv2tcbnUKrMDcXC2o01oqMJDMeMRheIDQvc43C+6Z7FmKnj2H6r/Vfm86Fom/ynaWXlsE4722pk1wfiMOUMxZZix7YROL4mLvsxox7sy2V7Q74L6faNW0=AQAAAACAAABABgAAjwMAAA==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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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+ </AppendedData>
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+ </VTKFile>
CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/Grid.pvd ADDED
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1
+ <?xml version="1.0"?>
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+ <VTKFile type="Collection" version="0.1"
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+ byte_order="LittleEndian"
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+ compressor="vtkZLibDataCompressor">
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+ <Collection>
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+ <DataSet timestep="300000" group="" part="0"
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+ file="Grid/Grid_300000.pvtu"/>
8
+ </Collection>
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+ </VTKFile>
CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/Lambda.pvd ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <VTKFile type="Collection" version="0.1"
3
+ byte_order="LittleEndian"
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+ compressor="vtkZLibDataCompressor">
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+ <Collection>
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+ <DataSet timestep="300000" group="" part="0"
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+ file="Lambda/Lambda_300000.pvtu"/>
8
+ </Collection>
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+ </VTKFile>
CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/Lambda/Lambda_0_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/Lambda/Lambda_10_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/Lambda/Lambda_11_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/Lambda/Lambda_12_300000.vtu ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
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+ <VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
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+ <UnstructuredGrid>
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+ <Piece NumberOfPoints="3434" NumberOfCells="3300" >
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+ <PointData>
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+ </PointData>
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+ <CellData>
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+ <DataArray type="Float64" Name="id" format="appended" RangeMin="109801" RangeMax="121612" offset="0" />
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+ <DataArray type="Float64" Name="xc" format="appended" RangeMin="-4.985" RangeMax="-2.0096" offset="5088" />
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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="39668" />
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+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="63580" />
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+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="69416" />
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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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WNnYOTi5uHl4+hm/RZ2RiZmFlY+fg5OLm4eVj+FZ9RiZmFlY2dg5OLm4eXj6Gpc/IxMzCysbOwcnF/TH/P4i3fOA=AQAAAACAAAAgZwAAqAMAAA==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eJzt2kErAwAcQPELrRw0xLZkEk0SVy5KO01NbNNykG1lyk5ToxRtF4WDlSlKhlBrceEikdhBTbY2jTblsgk5EIctEXH1/wjv9PsE7/a8riNPQK3s9CLiPw8zc1/ONkSUTNvGe7RWRJTM5xwb1x5ElKxydb/PBxBR0pSpnnTsIaKk26aIaRKIKOnPvdUmXxBRMtp3GtoqLUNEwcf0zsdACyJKKmzLxkojIkrq48OpBxciSjr6zI3rs4go6U13TPSHEFEyONh0oTxHRMl0LG/J3iOiZMGS3V4pKkdEQdVvKPWIKGnuWvXp9Igo6Y7NJO/siCjpt3galryIKBmN6HdHgogo+WRo/a47RkRJRUxjytwioqTOUry58IGIko7IVbNTU4GIgj7DyVRNOyJKrl2G4ykrIkr+bbxjiChZOBsK2xcRUVJl6P1U7yOipPlAO/2cQETJ0Y6Sm81XRJT8AVoWcfk=AQAAAACAAAAgZwAAOyUAAA==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BAAAAACAAACAHAAAohUAAJoVAACcFQAAFgUAAA==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cc8NvbrnjngceeeKZF155450PPvnDF9/88M+gP8AgQwwzwihjjDPBJFNMM8Msc8yzwCJLLLPCKmuss8EmW2yzwy577HPAIUccc8IpZ5xzwSVXXHPDb265454HHnnimRdeeeOdDz75wxff/PxZ8PzTXwIMMsQwI4wyxjgTTDLFNDPMMsc8CyyyxDIrrLLGOhtsssU2O+yyxz4HHHLEMSeccsY5F1xyxTU3/OaWO+554JEnnnnhlTfe+eCTP3zxzQ+//uaXAIMMMcwIo4wxzgSTTDHNDLPMMc8CiyyxzAqrrLHOBptssc0Ou+yxzwGHHHHMCaeccc4Fl1xxzQ2/ueWOex545IlnXnjljXc++OQPX3zzw69/9kuAQYYYZoRRxhhngkmmmGaGWeaYZ4FFllhmhVXWWGeDTbbYZodd9tjngEOOOOaEU84454JLrrjmht/ccsc9DzzyxDMvvPLGOx988ocvvvnhnwV/gEGGGGaEUcYYZ4JJpphmhlnmmGeBRZZYZoVV1lhng0222GaHXfbY54BDjjjmhFPOOOeCS6645obf3HLHPQ888sQzL7zyxjsffPKHL775+XPY8c9/CTDIEMOMMMoY40wwyRTTzDDLHPMssMgSy6ywyhrrbLDJFtvssMse+xxwyBHHnHDKGedccMkV19zwm1vuuOeBR5545oVX3njng0/+8MU3P/z6F78EGGSIYUYYZYxxJphkimlmmGWOeRZYZIllVlhljXU22GSLbXbYZY99DjjkiGNOOOWMcy645IprbvjNLXfc88AjTzzzwitvvPPBJ3/44psffv3LXwIMMsQwI4wyxjgTTDLFNDPMMsc8CyyyxDIrrLLGOhtsssU2O+yyxz4HHHLEMSeccsY5F1xyxTU3/OaWO+554JEnnnnhlTfe+eCTP3zxzQ//HPYFGGSIYUYYZYxxJphkimlmmGWOeRZYZIllVlhljXU22GSLbXbYZY99DjjkiGNOOOWMcy645IprbvjNLXfc88AjTzzzwitvvPPBJ3/44pufPwed/+qXAIMMMcwIo4wxzgSTTDHNDLPMMc8CiyyxzAqrrLHOBptssc0Ou+yxzwGHHHHMCaeccc4Fl1xxzQ2/ueWOex545IlnXnjljXc++OQPX3zzw6+//SXAIEMMM8IoY4wzwSRTTDPDLHPMs8AiSyyzwiprrLPBJltss8Mue+xzwCFHHHPCKWecc8ElV1xzw29uueOeBx554pkXXnnjnQ8++cMX3/zw61//EmCQIYYZYZQxxplgkimmmWGWOeZZYJEllllhlTXW2WCTLbbZYZc99jngkCOOOeGUM8654JIrrrnhN7fccc8DjzzxzAuvvPHOB5/84YtvfvjnoD/AIEMMM8IoY4wzwSRTTDPDLHPMs8AiSyyzwiprrLPBJltss8Mue+xzwCFHHHPCKWecc8ElV1xzw29uueOeBx554pkXXnnjnQ8++cMX3/z8CXL8m18CDDLEMCOMMsY4E0wyxTQzzDLHPAssssQyK6yyxjobbLLFNjvsssc+BxxyxDEnnHLGORdccsU1N/zmljvueeCRJ5554ZU33vngkz988c0Pv/7tLwEGGWKYEUYZY5wJJplimhlmmWOeBRZZYpkVVlljnQ022WKbHXbZY58DDjnimBNOOeOcCy654pobfnPLHfc88MgTz7zwyhvvfPDJH7745odf/+6XAIMMMcwIo4wxzgSTTDHNDLPMMc8CiyyxzAqrrLHOBptssc0Ou+yxzwGHHHHMCaeccc4Fl1xxzQ2/ueWOex545IlnXnjljXc++OQPX3zzwz9BvgCDDDHMCKOMMc4Ek0wxzQyzzDHPAossscwKq6yxzgabbLHNDrvssc8BhxxxzAmnnHHOBZdccc0Nv7nljnseeOSJZ1545Y13PvjkD1988/MnwPnvfwkwyBDDjDDKGONMMMkU08wwyxzzLLDIEsussMoa62ywyRbb7LDLHvsccMgRx5xwyhnnXHDJFdfc8Jtb7rjngUeeeOaFV95454NP/vDFNz/8+rtfAgwyxDAjjDLGOBNMMsU0M8wyxzwLLLLEMiusssY6G2yyxTY77LLHPgcccsQxJ5xyxjkXXHLFNTf85pY77nngkSeeeeGVN9754JM/fPHND7/+wy8BBhlimBFGGWOcCSaZYpoZZpljngUWWWKZFVZZY50NNtlimx122WOfAw454pgTTjnjnAsuueKaG35zyx33PPDIE8+88Mob73zwyR+++OaHfwL8AQYZYpgRRhljnAkmmWKaGWaZY54FFllimRVWWWOdDTbZYpsddtljnwMOOeKYE04545wLLrnimht+c8sd9zzwyBPPvPDKG+988Mkfvvjmh1//8ZcAgwwxzAijjDHOBJNMMc0Ms8wxzwKLLLHMCqussc4Gm2yxzQ677LHPAYccccwJp5xxzgWXXHHNDb+55Y57HnjkiWdeeOWNdz745A9ffPPDr//0S4BBhhhmhFHGGGeCSaaYZoZZ5phngUWWWGaFVdZYZ4NNtthmh1322OeAQ4445oRTzjjngkuuuOaG39xyxz0PPPLEMy+88sY7H3zyhy+++eHXf/4lwCBDDDPCKGOMM8EkU0wzwyxzzLPAIksss8Iqa6yzwSZbbLPDLnvsc8AhRxxzwilnnHPBJVdcc8NvbrnjngceeeKZF155450PPvnDF9/88E9xT4BBhhhmhFHGGGeCSaaYZoZZ5phngUWWWGaFVdZYZ4NNtthmh1322OeAQ4445oRTzjjngkuuuOaG39xyxz0PPPLEMy+88sY7H3zyhy+++eHXf/klwCBDDDPCKGOMM8EkU0wzwyxzzLPAIksss8Iqa6yzwSZbbLPDLnvsc8AhRxxzwilnnHPBJVdcc8NvbrnjngceeeKZF155450PPvnDF9/88Ou//hJgkCGGGWGUMcaZYJIppplhljnmWWCRJZZZYZU11tlgky222WGXPfY54JAjjjnhlDPOueCSK6654Te33HHPA4888cwLr7zxzgef/OGLb3749d9+CTDIEMOMMMoY40wwyRTTzDDLHPMssMgSy6ywyhrrbLDJFtvssMse+xxwyBHHnHDKGedccMkV19zwm1vuuOeBR5545oVX3njng0/+8MU3P/xT2BdgkCGGGWGUMcaZYJIppplhljnmWWCRJZZZYZU11tlgky222WGXPfY54JAjjjnhlDPOueCSK6654Te33HHPA4888cwLr7zxzgef/OGLb3749d9/CTDIEMOMMMoY40wwyRTTzDDLHPMssMgSy6ywyhrrbLDJFtvssMse+xxwyBHHnHDKGedccMkV19zwm1vuuOeBR5545oVX3njng0/+8MU3P/z6+18CDDLEMCOMMsY4E0wyxTQzzDLHPAssssQyK6yyxjobbLLFNjvsssc+BxxyxDEnnHLGORdccsU1N/zmljvueeCRJ5554ZU33vngkz988c0Pv/7HLwEGGWKYEUYZY5wJJplimhlmmWOeBRZZYpkVVlljnQ022WKbHXbZY58DDjnimBNOOeOcCy654pobfnPLHfc88MgTz7zwyhvvfPDJH7745od/inoDDDLEMCOMMsY4E0wyxTQzzDLHPAssssQyK6yyxjobbLLFNjvsssc+BxxyxDEnnHLGORdccsU1N/zmljvueeCRJ5554ZU33vngkz988c0Pv/7nLwEGGWKYEUYZY5wJJplimhlmmWOeBRZZYpkVVlljnQ022WKbHXbZY58DDjnimBNOOeOcCy654pobfnPLHfc88MgTz7zwyhvvfPDJH7745odf/+uXAIMMMcwIo4wxzgSTTDHNDLPMMc8CiyyxzAqrrLHOBptssc0Ou+yxzwGHHHHMCaeccc4Fl1xxzQ2/ueWOex545IlnXnjljXc++OQPX3zzw6///UuAQYYYZoRRxhhngkmmmGaGWeaYZ4FFllhmhVXWWGeDTbbYZodd9tjngEOOOOaEU84454JLrrjmht/ccsc9DzzyxDMvvPLGOx988ocvvvnhn4L+AIMMMcwIo4wxzgSTTDHNDLPMMc8CiyyxzAqrrLHOBptssc0Ou+yxzwGHHHHMCaeccc4Fl1xxzQ2/ueWOex545IlnXnjljXc++OQPX3zzw6//80uAQYYYZoRRxhhngkmmmGaGWeaYZ4FFllhmhVXWWGeDTbbYZodd9tjngEOOOOaEU84454JLrrjmht/ccsc9DzzyxDMvvPLGOx988ocvvvnh1//9JcAgQwwzwihjjDPBJFNMM8Msc8yzwCJLLLPCKmuss8EmW2yzwy577HPAIUccc8IpZ5xzwSVXXHPDb265454HHnnimRdeeeOdDz75wxff/PDr//0SYJAhhhlhlDHGmWCSKaaZYZY55llgkSWWWWGVNdbZYJMtttlhlz32OeCQI475/wFEZZdxAQAAAACAAADkDAAAGwAAAA==eJztwTENAAAAw6C7/g3PxwIUAADAjwE0gnQF
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CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/Lambda/Lambda_13_300000.vtu ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ <?xml version="1.0"?>
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+ <UnstructuredGrid>
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+ <Piece NumberOfPoints="3434" NumberOfCells="3300" >
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+ <PointData>
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+ </PointData>
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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="0.11824" RangeMax="0.12188" offset="20072" />
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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="40768" />
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+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="64680" />
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+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="70516" />
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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=AQAAAACAAAAgZwAAZiYAAA==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AQAAAACAAAAgZwAArRoAAA==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AgAAAACAAAD4IAAADhoAAL0HAAA=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BAAAAACAAACAHAAAohUAAJoVAACcFQAAFgUAAA==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CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/Lambda/Lambda_14_300000.vtu ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
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+ <VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
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+ <UnstructuredGrid>
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+ <Piece NumberOfPoints="3434" NumberOfCells="3300" >
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+ <PointData>
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+ </PointData>
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+ <CellData>
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+ <DataArray type="Float64" Name="xc" format="appended" RangeMin="1.026" RangeMax="4.0014" offset="5080" />
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+ <DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.061918" RangeMax="0.12301" offset="20592" />
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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="42608" />
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+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="66520" />
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+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="72356" />
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+ </Cells>
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+ </Piece>
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+ </UnstructuredGrid>
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+ <AppendedData encoding="base64">
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zsLKxc3BycfPw8jF8hz4jEzMLKxs7BycXNw8vH8N36jMyMbOwsrFzcHJx8/DyMXyXPiMT80/4/wFi7RoHAQAAAACAAAAgZwAAzAMAAA==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eJzt2kErAwAcQPELrRw0xLZkEk0SVy5KO01NbNNykG1lyk5ToxRtF4WDlSlKhlBrceEikdhBTbY2jTblsgk5EIctEXH1/wjv9PsE7/a8riNPQK3s9CLiPw8zc1/ONkSUTNvGe7RWRJTM5xwb1x5ElKxydb/PBxBR0pSpnnTsIaKk26aIaRKIKOnPvdUmXxBRMtp3GtoqLUNEwcf0zsdACyJKKmzLxkojIkrq48OpBxciSjr6zI3rs4go6U13TPSHEFEyONh0oTxHRMl0LG/J3iOiZMGS3V4pKkdEQdVvKPWIKGnuWvXp9Igo6Y7NJO/siCjpt3galryIKBmN6HdHgogo+WRo/a47RkRJRUxjytwioqTOUry58IGIko7IVbNTU4GIgj7DyVRNOyJKrl2G4ykrIkr+bbxjiChZOBsK2xcRUVJl6P1U7yOipPlAO/2cQETJ0Y6Sm81XRJT8AVoWcfk=AQAAAACAAAAgZwAADSgAAA==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AQAAAACAAAAgZwAA/xwAAA==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AgAAAACAAAD4IAAAZRsAAPEHAAA=eJxN1G2oBGhdhvEhjx510EMearBhRxtiiMlGm/LEIEdn0kmGGjzVUUYZIitFk62kwsLEVdM0t1ptLXvDKM2kwA/7YcOtCIks09aUrBS3NjWxFzU1rQjK68B13z2ffp//98P1qOe+7Env3d22Hnzpfe6Jr4z/bPSa+Nc/c3v8wj+/I/7W37wzHr/4jfGnv+vX4j95zG/Eb3zgm+Nb73tr/C13/278lXe8Pf6X590V//Hm7vjOr7onfv7n/ih+4nveGT/iLX8af+Il747vecZfxnc89v3xcx78wXh1/9/FD3/HR+KPvv7++O4XfDy+/SmfjJ99y7/Fj//CZ+KH3vv5+L63/md8123/8/9uNVjrxSO/bN27ncQP+OwD173hafw3737Iuvccxr/3Ww9b97Zn8ct+8svXvfN5/PSnf8W6Nx/F88Uj173/OP7fB90SP/9zk/gDf//o+Invmca/8/tfEz/iLbP4Ja/72vgTL5nH3/EDj4nvecYinj35cfEdj13G/z3+pvg5D76I7/38N8er+1fxm9/7hPjh77iMf/y3nxR/9PWbeP/SJ8d3v2AbTw9PjW9/yi7+wuO+LX72Lfv4Lx7ytPjxX7iK3/SP3xk/9N7r+EfveUZ831sP8e7OZ8V33XaMb7n1u+NXP/N74s9uvzc+Lr8/ftfkufE3DJ8X/+oXnx8/6GMviH/4fbfGH/qDH4q3b3th/PY3/Ej8yJf/WPyKH3xR/Kln/UR8eOqL43d+40vir3/0S+Nvf9Vt8aO+1K57n/SyG9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0q7carDXt6t1OYtrVG57GtKv3HMa0q7c9i2lX73we067efBTTrt5/HNOubjGJaVd3mca0qxvNYtrVveYx7ep2i5h2dcdlTLu66UVMu7rvKqZd3foypl3dfRPTrv6BbUy7+h92Me3q39jHtKv/5CqmXf0z1zHt6v85xLSrf+kY0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rTrfY9/+Y1pl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2tVbDdaadvVuJzHt6g1PY9rVew5j2tXbnsW0q3c+j2lXbz6KaVfvP45pV7eYxLSru0xj2tWNZjHt6l7zmHZ1u0VMu7rjMqZd3fQipl3ddxXTrm59GdOu7r6JaVf/wDamXf0Pu5h29W/sY9rVf3IV067+meuYdvX/HGLa1b90jGmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admna9f6ve8WNaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adrVWw3Wmnb1bicx7eoNT2Pa1XsOY9rV257FtKt3Po9pV28+imlX7z+OaVe3mMS0q7tMY9rVjWYx7epe85h2dbtFTLu64zKmXd30IqZd3XcV065ufRnTru6+iWlX/8A2pl39D7uYdvVv7GPa1X9yFdOu/pnrmHb1/xxi2tW/dIxpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2vWBr/6pG9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0q7carDXt6t1OYtrVG57GtKv3HMa0q7c9i2lX73we067efBTTrt5/HNOubjGJaVd3mca0qxvNYtrVveYx7ep2i5h2dcdlTLu66UVMu7rvKqZd3foypl3dfRPTrv6BbUy7+h92Me3q39jHtKv/5CqmXf0z1zHt6v85xLSrf+kY0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rTrr0evvDHt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5Nu3qrwVrTrt7tJKZdveFpTLt6z2FMu3rbs5h29c7nMe3qzUcx7er9xzHt6haTmHZ1l2lMu7rRLKZd3Wse065ut4hpV3dcxrSrm17EtKv7rmLa1a0vY9rV3Tcx7eof2Ma0q/9hF9Ou/o19TLv6T65i2tU/cx3Trv6fQ0y7+peOMe3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27PviwV92YdmnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl291WCtaVfvdhLTrt7wNKZdvecwpl297VlMu3rn85h29eajmHb1/uOYdnWLSUy7uss0pl3daBbTru41j2lXt1vEtKs7LmPa1U0vYtrVfVcx7erWlzHt6u6bmHb1D2xj2tX/sItpV//GPqZd/SdXMe3qn7mOaVf/zyGmXf1Lx5h2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXX/7gJ++Me3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27eqvBWtOu3u0kpl294WlMu3rPYUy7etuzmHb1zucx7erNRzHt6v3HMe3qFpOYdnWXaUy7utEspl3dax7Trm63iGlXd1zGtKubXsS0q/uuYtrVrS9j2tXdNzHt6h/YxrSr/2EX067+jX1Mu/pPrmLa1T9zHdOu/p9DTLv6l44x7dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs+9F9tl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2tVbDdaadvVuJzHt6g1PY9rVew5j2tXbnsW0q3c+j2lXbz6KaVfvP45pV7eYxLSru0xj2tWNZjHt6l7zmHZ1u0VMu7rjMqZd3fQipl3ddxXTrm59GdOu7r6JaVf/wDamXf0Pu5h29W/sY9rVf3IV067+meuYdvX/HGLa1b90jGmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admna9eFPv/rGtEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3qrQZrTbt6t5OYdvWGpzHt6j2HMe3qbc9i2tU7n8e0qzcfxbSr9x/HtKtbTGLa1V2mMe3qRrOYdnWveUy7ut0ipl3dcRnTrm56EdOu7ruKaVe3voxpV3ffxLSrf2Ab067+h11Mu/o39jHt6j+5imlX/8x1TLv6fw4x7epfOsa0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07frIx19zY9qlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp29VaDtaZdvdtJTLt6w9OYdvWew5h29bZnMe3qnc9j2tWbj2La1fuPY9rVLSYx7eou05h2daNZTLu61zymXd1uEdOu7riMaVc3vYhpV/ddxbSrW1/GtKu7b2La1T+wjWlX/8Mupl39G/uYdvWfXMW0q3/mOqZd/T+HmHb1Lx1j2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6Zdmnbd9+GfuTHt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5Nu3qrwVrTrt7tJKZdveFpTLt6z2FMu3rbs5h29c7nMe3qzUcx7er9xzHt6haTmHZ1l2lMu7rRLKZd3Wse065ut4hpV3dcxrSrm17EtKv7rmLa1a0vY9rV3Tcx7eof2Ma0q/9hF9Ou/o19TLv6T65i2tU/cx3Trv6fQ0y7+peOMe3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27/uGvXntj2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6Zdmnb1VoO1pl2920lMu3rD05h29Z7DmHb1tmcx7eqdz2Pa1ZuPYtrV+49j2tUtJjHt6i7TmHZ1o1lMu7rXPKZd3W4R067uuIxpVze9iGlX913FtKtbX8a0q7tvYtrVP7CNaVf/wy6mXf0b+5h29Z9cxbSrf+Y6pl39P4eYdvUvHWPapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2adt3/rttvTLs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9Ou3mqw1rSrdzuJaVdveBrTrt5zGNOu3vYspl2983lMu3rzUUy7ev9xTLu6xSSmXd1lGtOubjSLaVf3mse0q9stYtrVHZcx7eqmFzHt6r6rmHZ168uYdnX3TUy7+ge2Me3qf9jFtKt/Yx/Trv6Tq5h29c9cx7Sr/+cQ067+pWNMuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL066P/uHP3ph2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXb3VYK1pV+92EtOu3vA0pl295zCmXb3tWUy7eufzmHb15qOYdvX+45h2dYtJTLu6yzSmXd1oFtOu7jWPaVe3W8S0qzsuY9rVTS9i2tV9VzHt6taXMe3q7puYdvUPbGPa1f+wi2lX/8Y+pl39J1cx7eqfuY5pV//PIaZd/UvHmHZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdH7vr525MuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL067earDWtKt3O4lpV294GtOu3nMY067e9iymXb3zeUy7evNRTLt6/3FMu7rFJKZd3WUa065uNItpV/eax7Sr2y1i2tUdlzHt6qYXMe3qvquYdnXry5h2dfdNTLv6B7Yx7ep/2MW0q39jH9Ou/pOrmHb1z1zHtKv/5xDTrv6lY0y7NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTrn9628/fmHZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdvdVgrWlX73YS067e8DSmXb3nMKZdve1ZTLt65/OYdvXmo5h29f7jmHZ1i0lMu7rLNKZd3WgW067uNY9pV7dbxLSrOy5j2tVNL2La1X1XMe3q1pcx7erum5h29Q9sY9rV/7CLaVf/xj6mXf0nVzHt6p+5jmlX/88hpl39S8eYdmnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2feNMdN6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpV281WGva1budxLSrNzyNaVfvOYxpV297FtOu3vk8pl29+SimXb3/OKZd3WIS067uMo1pVzeaxbSre81j2tXtFjHt6o7LmHZ104uYdnXfVUy7uvVlTLu6+yamXf0D25h29T/sYtrVv7GPaVf/yVVMu/pnrmPa1f9ziGlX/9Ixpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWnXJ9/wuhvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StKu3Gqw17erdTmLa1RuexrSr9xzGtKu3PYtpV+98HtOu3nwU067efxzTrm4xiWlXd5nGtKsbzWLa1b3mMe3qdouYdnXHZUy7uulFTLu67yqmXd36MqZd3X0T067+gW1Mu/ofdjHt6t/Yx7Sr/+Qqpl39M9cx7er/OcS0q3/pGNMuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0659f+/ob0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rSrtxqsNe3q3U5i2tUbnsa0q/ccxrSrtz2LaVfvfB7Trt58FNOu3n8c065uMYlpV3eZxrSrG81i2tW95jHt6naLmHZ1x2VMu7rpRUy7uu8qpl3d+jKmXd19E9Ou/oFtTLv6H3Yx7erf2Me0q//kKqZd/TPXMe3q/znEtKt/6RjTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StOtfX/YLN6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpV281WGva1budxLSrNzyNaVfvOYxpV297FtOu3vk8pl29+SimXb3/OKZd3WIS067uMo1pVzeaxbSre81j2tXtFjHt6o7LmHZ104uYdnXfVUy7uvVlTLu6+yamXf0D25h29T/sYtrVv7GPaVf/yVVMu/pnrmPa1f9ziGlX/9Ixpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWnXp150541pl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2tVbDdaadvVuJzHt6g1PY9rVew5j2tXbnsW0q3c+j2lXbz6KaVfvP45pV7eYxLSru0xj2tWNZjHt6l7zmHZ1u0VMu7rjMqZd3fQipl3ddxXTrm59GdOu7r6JaVf/wDamXf0Pu5h29W/sY9rVf3IV067+meuYdvX/HGLa1b90jGmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admna9elb33Bj2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6Zdmnb1VoO1pl2920lMu3rD05h29Z7DmHb1tmcx7eqdz2Pa1ZuPYtrV+49j2tUtJjHt6i7TmHZ1o1lMu7rXPKZd3W4R067uuIxpVze9iGlX913FtKtbX8a0q7tvYtrVP7CNaVf/wy6mXf0b+5h29Z9cxbSrf+Y6pl39P4eYdvUvHWPapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2adv379/3ijWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admna1VsN1pp29W4nMe3qDU9j2tV7DmPa1duexbSrdz6PaVdvPoppV+8/jmlXt5jEtKu7TGPa1Y1mMe3qXvOYdnW7RUy7uuMypl3d9CKmXd13FdOubn0Z067uvolpV//ANqZd/Q+7mHb1b+xj2tV/chXTrv6Z65h29f8cYtrVv3SMaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adr12Wf+0o1pl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2tVbDdaadvVuJzHt6g1PY9rVew5j2tXbnsW0q3c+j2lXbz6KaVfvP45pV7eYxLSru0xj2tWNZjHt6l7zmHZ1u0VMu7rjMqZd3fQipl3ddxXTrm59GdOu7r6JaVf/wDamXf0Pu5h29W/sY9rVf3IV067+meuYdvX/HGLa1b90jGmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admna9fmnvfHGtEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3qrQZrTbt6t5OYdvWGpzHt6j2HMe3qbc9i2tU7n8e0qzcfxbSr9x/HtKtbTGLa1V2mMe3qRrOYdnWveUy7ut0ipl3dcRnTrm56EdOu7ruKaVe3voxpV3ffxLSrf2Ab067+h11Mu/o39jHt6j+5imlX/8x1TLv6fw4x7epfOsa0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07fqP7S/fmHZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdvdVgrWlX73YS067e8DSmXb3nMKZdve1ZTLt65/OYdvXmo5h29f7jmHZ1i0lMu7rLNKZd3WgW067uNY9pV7dbxLSrOy5j2tVNL2La1X1XMe3q1pcx7erum5h29Q9sY9rV/7CLaVf/xj6mXf0nVzHt6p+5jmlX/88hpl39S8eYdmnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl1ffMKv3Jh2adqlaRf+P/hdmox4nE3Ub2gnBB3H8R81nefIkaPGNW7JiBXDpq5cDNndb+mSUaNV81gyIiPF67hKKirs8CyKgntwiYGkppR2RoEP7sGFFxES/THroqAo6OKykIhKPDnF/r8H78+nZ6/H38+X92AwGNz242P7nr/my8P/cfCWr94dT91+T/z3d90Xf//yB+N7LngoPnTmePzmk9+MX3ns0fgvt56Iv7dyMr77VafiA+e+G+998vH40od/ED99+In41P6fxceu+EV880W/ipfO/ia+5LHfxU/ddTY+efBP8dHr/hzftOev8dXnn4kvPv1cfOb4C/GJI//8v1sNhnp+90uGvdtI/NJnLxj2hqPxr5/YNew9x+Jvfe1lw952PL7zUy8f9s4T8Q03vGLYm0/Gc/O7h73/VPyfC/fEB85Nx7/8/WXx3idn4ke+/Zr40odn48NffF389OG5+B0fuDw+tX8+nr32yvjYFQvxi1NvjG++aDE+/dyb4qWzS/FDP70mvuSx5fgTX98XP3XXSrx+x7XxyYOr8czW9fHR69bi81e+Nb5pz3r8k11vj68+vxE/8Id3xhef3ow/emp/fOb4Vrx2943xiSPb8Z5D74k//+73xs+uvi/eXnh//MPpW+Krxm6N733+QHzhHw/GH/75ofi33/lQvPqN2+JHv/SRePenPxZ/5oMfj/924yfjretvjx9/w+H49ZfdEb/tc0fiV99y574Xrrp3x+f2fjb+0eQX4vufORrTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTrt5qMNS0q3cbiWlXbzga067ecyymXb3teEy7eueJmHb15pMx7er9p2La1S2mY9rVXWZi2tWNZmPa1b3mYtrV7eZj2tUdF2La1U0XY9rVfZdi2tWtl2Pa1d1XYtrVH1iNaVf/YS2mXf2N9Zh29U82YtrVn9mMaVf/ZyumXf2l7Zh2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXS++9r4d0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rSrtxoMNe3q3UZi2tUbjsa0q/cci2lXbzse067eeSKmXb35ZEy7ev+pmHZ1i+mYdnWXmZh2daPZmHZ1r7mYdnW7+Zh2dceFmHZ108WYdnXfpZh2devlmHZ195WYdvUHVmPa1X9Yi2lXf2M9pl39k42YdvVnNmPa1f/ZimlXf2k7pl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWnXP/bcv2PapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2advVWg6GmXb3bSEy7esPRmHb1nmMx7eptx2Pa1TtPxLSrN5+MaVfvPxXTrm4xHdOu7jIT065uNBvTru41F9Oubjcf067uuBDTrm66GNOu7rsU065uvRzTru6+EtOu/sBqTLv6D2sx7epvrMe0q3+yEdOu/sxmTLv6P1sx7eovbce0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07frXxFd2TLs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9MuTbs07dK0S9Ou3mow1LSrdxuJaVdvOBrTrt5zLKZdve14TLt654mYdvXmkzHt6v2nYtrVLaZj2tVdZmLa1Y1mY9rVveZi2tXt5mPa1R0XYtrVTRdj2tV9l2La1a2XY9rV3Vdi2tUfWI1pV/9hLaZd/Y31mHb1TzZi2tWf2YxpV/9nK6Zd/aXtmHZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6Zd/971wI5pl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2tVbDYaadvVuIzHt6g1HY9rVe47FtKu3HY9pV+88EdOu3nwypl29/1RMu7rFdEy7ustMTLu60WxMu7rXXEy7ut18TLu640JMu7rpYky7uu9STLu69XJMu7r7Sky7+gOrMe3qP6zFtKu/sR7Trv7JRky7+jObMe3q/2zFtKu/tB3TLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StGsweHDHtEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3qrQZDTbt6t5GYdvWGozHt6j3HYtrV247HtKt3nohpV28+GdOu3n8qpl3dYjqmXd1lJqZd3Wg2pl3day6mXd1uPqZd3XEhpl3ddDGmXd13KaZd3Xo5pl3dfSWmXf2B1Zh29R/WYtrV31iPaVf/ZCOmXf2ZzZh29X+2YtrVX9qOaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp2adqlaZemXZp26f8CyWeA5Q==BAAAAACAAACAHAAAohUAAJoVAACcFQAAFgUAAA==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CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/Lambda/Lambda_15_300000.vtu ADDED
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AQAAAACAAADIagAAbhMAAA==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AQAAAACAAAAQRAAAWQsAAA==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AQAAAACAAACCCAAAGQAAAA==eJzj5BwFo2AUjIJRMApGwSigNwAA+uhMkw==
26
+ </AppendedData>
27
+ </VTKFile>
CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/Lambda/Lambda_1_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/Lambda/Lambda_2_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/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"/>
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+ <Piece Source="Lambda_7_300000.vtu"/>
24
+ <Piece Source="Lambda_8_300000.vtu"/>
25
+ <Piece Source="Lambda_9_300000.vtu"/>
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+ <Piece Source="Lambda_10_300000.vtu"/>
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+ <Piece Source="Lambda_11_300000.vtu"/>
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+ <Piece Source="Lambda_12_300000.vtu"/>
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+ <Piece Source="Lambda_13_300000.vtu"/>
30
+ <Piece Source="Lambda_14_300000.vtu"/>
31
+ <Piece Source="Lambda_15_300000.vtu"/>
32
+ </PUnstructuredGrid>
33
+ </VTKFile>
CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/Lambda/Lambda_3_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/Lambda/Lambda_4_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/Lambda/Lambda_5_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/Lambda/Lambda_6_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/Lambda/Lambda_7_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/Lambda/Lambda_8_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/Lambda/Lambda_9_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/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/simulation0188_Kn0p12Ma5p7/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 5.7
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/simulation0188_Kn0p12Ma5p7/cylinder.surf ADDED
@@ -0,0 +1,410 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ surf file from Pointwise
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+
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+ 200 lines
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+
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+ 196 196 197
407
+ 197 197 198
408
+ 198 198 199
409
+ 199 199 200
410
+ 200 200 1
CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/gas.species ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Species data
2
+
3
+ # species name
4
+ # molecular weight (atomic mass units, e.g. 16 for oxygen)
5
+ # molecular mass (kg)
6
+ # rotational degrees of freedom (integer, unitless)
7
+ # inverse rotational relaxtion number (unitless)
8
+ # vibrational degrees of freedom (integer, unitless)
9
+ # inverse vibrational relaxation number (unitless)
10
+ # vibrational temperature (K)
11
+ # species weight (unitless)
12
+ # multiple of electon charge (1 for a proton)
13
+
14
+ Ar 39.95 6.63E-26 0 0.0 0 0.0 0.0 1.0 0.0
CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/gas.vhs ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ # VHS collision model parameters for each species
2
+
3
+ # species name
4
+ # diameter (m)
5
+ # omega (unitless)
6
+ # tref (referenced temperature)
7
+ # alpha (unitless)
8
+
9
+ Ar 4.17e-10 0.81 273 1.0
CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/grid/Grid_0_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/grid/Grid_10_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/grid/Grid_11_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/grid/Grid_12_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/grid/Grid_13_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/grid/Grid_14_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/grid/Grid_15_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/grid/Grid_1_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/grid/Grid_2_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/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/simulation0188_Kn0p12Ma5p7/grid/Grid_3_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/grid/Grid_4_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/grid/Grid_6_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/grid/Grid_7_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/grid/Grid_8_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/grid/Grid_9_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/grid/final-grid.dat ADDED
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CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/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 5.7
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 5.7*${sos}
38
+ variable vo equal 5.7*307.815564238681
39
+ variable vx equal ${vo}*cos(${theta}*2*PI/360)
40
+ variable vx equal 1754.54871616048*cos(${theta}*2*PI/360)
41
+ variable vx equal 1754.54871616048*cos(0*2*PI/360)
42
+ variable vy equal ${vo}*sin(${theta}*2*PI/360)
43
+ variable vy equal 1754.54871616048*sin(${theta}*2*PI/360)
44
+ variable vy equal 1754.54871616048*sin(0*2*PI/360)
45
+ variable ppc equal 30
46
+ variable xncells equal (${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}/${xncells}/10/4
68
+ variable tstep equal (--5+6)/1754.54871616048/${xncells}/10/4
69
+ variable tstep equal (--5+6)/1754.54871616048/366.666666666667/10/4
70
+ variable nave equal 10000
71
+ variable noutput equal 300000
72
+ clear
73
+ Running on 128 MPI task(s)
74
+ shell mkdir output
75
+ shell mkdir grid
76
+ shell mkdir surf
77
+ seed 7
78
+ dimension 2
79
+ global nrho ${nden}
80
+ global nrho 3.59551014725462e+20
81
+ global fnum ${Fnum}
82
+ global fnum 1.07865304417639e+16
83
+ timestep ${tstep}
84
+ timestep 4.27460345268293e-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 = 0.435182 secs
101
+ create/ghost percent = 0.686924 99.3131
102
+ balance_grid rcb cell
103
+ Balance grid migrated 527129 cells
104
+ CPU time = 0.441139 secs
105
+ reassign/sort/migrate/ghost percent = 31.1382 0.0321209 5.77256 63.0572
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 1754.54871616048 ${vy} 0.0 temp ${To}
110
+ mixture air Ar vstream 1754.54871616048 0 0.0 temp ${To}
111
+ mixture air Ar vstream 1754.54871616048 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 = 0.337439 secs
125
+ read/check/sort/surf2grid/ghost/inout/particle percent = 8.76882 7.65971 0.894348 12.8882 69.789 2.11928 0.0336769
126
+ surf2grid time = 0.0434897 secs
127
+ map/comm1/comm2/comm3/comm4/split percent = 33.6508 14.8259 12.8878 1.64591 6.44871 3.8268
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 = 0.243926 secs
134
+ reassign/sort/migrate/ghost percent = 1.80888 0.0326898 3.85476 94.3037
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 = 0.0574397 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 113.57144 3690792 129640 110650 54 3645740.1 50.2725
150
+ 20000 291.10103 3959740 150801 130681 57 3747477.7 51.182
151
+ 30000 518.25225 4018919 155121 134747 64 3831109.1 51.583967
152
+ 40000 754.03138 4029006 155327 135139 41 3879851.2 51.804975
153
+ 50000 992.25954 4030157 155350 135086 60 3909992.1 51.91794
154
+ 60000 1230.0576 4029955 155011 134746 59 3929948.7 52.025283
155
+ 70000 1466.4129 4031176 155595 135087 49 3944296.9 52.107829
156
+ 80000 1703.0555 4028697 155250 134746 61 3955052.3 52.171
157
+ 90000 1941.4143 4032455 155302 134867 52 3963519.7 52.215544
158
+ 100000 2179.8192 4031906 155590 135116 63 3970427 52.25487
159
+ 110000 2417.008 4033774 155514 135227 39 3976110.9 52.280636
160
+ 120000 2654.5519 4033871 155608 135083 46 3980891.5 52.316667
161
+ 130000 2893.2636 4030704 155796 135213 53 3984835.8 52.335562
162
+ 140000 3131.1855 4029504 155188 134912 51 3988048.2 52.347864
163
+ 150000 3368.3778 4032596 156007 135589 49 3990980.2 52.358733
164
+ 160000 3607.5985 4031183 155701 135223 55 3993552.8 52.371763
165
+ 170000 3846.7439 4029083 155185 134612 52 3995750.2 52.386271
166
+ 180000 4084.2591 4030814 155229 135044 47 3997683.1 52.39935
167
+ 190000 4322.238 4031985 155496 135248 53 3999476.5 52.403668
168
+ 200000 4560.6261 4030852 155571 135002 64 4001080.9 52.412925
169
+ Loop time of 4560.64 on 128 procs for 200000 steps with 4030852 particles
170
+
171
+ MPI task timing breakdown:
172
+ Section | min time | avg time | max time |%varavg| %total
173
+ ---------------------------------------------------------------
174
+ Move | 0.031775 | 142.46 | 840.74 |1378.3 | 3.12
175
+ Coll | 2.5705 | 267.87 | 2891.8 |2801.3 | 5.87
176
+ Sort | 1.321 | 98.658 | 517.66 |1244.1 | 2.16
177
+ Comm | 152.3 | 185.52 | 202.36 | 86.9 | 4.07
178
+ Modify | 0.035939 | 0.70701 | 10.909 | 189.0 | 0.02
179
+ Output | 0.021056 | 0.27193 | 0.3041 | 9.2 | 0.01
180
+ Other | | 3865 | | | 84.75
181
+
182
+ Particle moves = 800216177594 (800B)
183
+ Cells touched = 835992660445 (836B)
184
+ Particle comms = 562975313 (563M)
185
+ Boundary collides = 0 (0K)
186
+ Boundary exits = 55567237 (55.6M)
187
+ SurfColl checks = 545339673 (545M)
188
+ SurfColl occurs = 10482585 (10.5M)
189
+ Surf reactions = 0 (0K)
190
+ Collide attempts = 37678422147 (37.7B)
191
+ Collide occurs = 28472435730 (28.5B)
192
+ Reactions = 0 (0K)
193
+ Particles stuck = 0
194
+ Axisymm bad moves = 0
195
+
196
+ Particle-moves/CPUsec/proc: 1.37079e+06
197
+ Particle-moves/step: 4.00108e+06
198
+ Cell-touches/particle/step: 1.04471
199
+ Particle comm iterations/step: 1
200
+ Particle fraction communicated: 0.000703529
201
+ Particle fraction colliding with boundary: 0
202
+ Particle fraction exiting boundary: 6.94403e-05
203
+ Surface-checks/particle/step: 0.00068149
204
+ Surface-collisions/particle/step: 1.30997e-05
205
+ Surf-reactions/particle/step: 0
206
+ Collision-attempts/particle/step: 0.0470853
207
+ Collisions/particle/step: 0.0355809
208
+ Reactions/particle/step: 0
209
+
210
+ Particles: 31491 ave 224312 max 0 min
211
+ Histogram: 86 14 4 12 2 6 0 0 2 2
212
+ Cells: 4125.7 ave 4126 max 4125 min
213
+ Histogram: 38 0 0 0 0 0 0 0 0 90
214
+ GhostCell: 105920 ave 194636 max 5730 min
215
+ Histogram: 24 7 11 10 18 2 6 4 16 30
216
+ EmptyCell: 0 ave 0 max 0 min
217
+ Histogram: 128 0 0 0 0 0 0 0 0 0
218
+ Surfs: 200 ave 200 max 200 min
219
+ Histogram: 128 0 0 0 0 0 0 0 0 0
220
+ GhostSurf: 0 ave 0 max 0 min
221
+ Histogram: 128 0 0 0 0 0 0 0 0 0
222
+ compute 1 grid all air n nrho massrho u v w
223
+ compute 2 grid all air trot
224
+ compute 3 tvib/grid all air
225
+ compute 4 thermal/grid all air press temp
226
+ fix 1 ave/grid all 1 ${nave} ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
227
+ fix 1 ave/grid all 1 10000 ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
228
+ fix 1 ave/grid all 1 10000 10000 c_1[*] c_4[*] c_2[*] c_3[*] ave running
229
+ dump 1 grid all ${noutput} output/grid.*.dat id xc yc f_1[*]
230
+ dump 1 grid all 300000 output/grid.*.dat id xc yc f_1[*]
231
+ dump_modify 1 format float %12.5g
232
+ compute 5 surf all air n press px py shx shy fx fy etot erot evib
233
+ fix 2 ave/surf all 1 ${nave} ${nave} c_5[*] ave running
234
+ fix 2 ave/surf all 1 10000 ${nave} c_5[*] ave running
235
+ fix 2 ave/surf all 1 10000 10000 c_5[*] ave running
236
+ dump 2 surf all ${noutput} output/surf.*.dat id v1x v1y v2x v2y f_2[*]
237
+ dump 2 surf all 300000 output/surf.*.dat id v1x v1y v2x v2y f_2[*]
238
+ dump_modify 2 format float %12.5g
239
+ compute 6 lambda/grid f_1[2] f_1[8] Ar kx
240
+ dump 3 grid all ${noutput} output/lambdakn.*.dat id xc yc c_6[*]
241
+ dump 3 grid all 300000 output/lambdakn.*.dat id xc yc c_6[*]
242
+ dump_modify 3 format float %12.5g
243
+ run 100000
244
+ Memory usage per proc in Mbytes:
245
+ particles (ave,min,max) = 4.42969 0 23.625
246
+ grid (ave,min,max) = 18.2252 2.45129 34.8263
247
+ surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
248
+ total (ave,min,max) = 24.0607 10.982 44.6695
249
+ Step CPU Np Natt Ncoll Nscoll Npave Nscollave
250
+ 200000 0 4030852 155571 135002 0 0 0
251
+ 210000 373.3546 4030379 155157 134750 51 4031474.9 52.759
252
+ 220000 746.37482 4030944 155797 135361 47 4031513.8 52.7192
253
+ 230000 1120.5724 4030457 155278 135066 61 4031463.4 52.654967
254
+ 240000 1492.7743 4029537 155549 135011 55 4031213.9 52.629675
255
+ 250000 1865.5888 4033498 155767 135422 48 4031147.8 52.65486
256
+ 260000 2239.559 4032159 155404 134931 60 4031622.3 52.6506
257
+ 270000 2613.0825 4030070 155192 134881 51 4031658.1 52.645786
258
+ 280000 2986.0555 4033337 155866 135579 49 4031807.3 52.632038
259
+ 290000 3359.3869 4033069 155591 135304 50 4032039.2 52.630856
260
+ 300000 3733.8137 4034300 155826 135392 60 4032091.4 52.61704
261
+ Loop time of 3733.81 on 128 procs for 100000 steps with 4034300 particles
262
+
263
+ MPI task timing breakdown:
264
+ Section | min time | avg time | max time |%varavg| %total
265
+ ---------------------------------------------------------------
266
+ Move | 0.038544 | 72.541 | 436.23 | 964.6 | 1.94
267
+ Coll | 1.4191 | 148.07 | 1742.4 |2121.3 | 3.97
268
+ Sort | 5.8466 | 60.359 | 299.97 | 882.1 | 1.62
269
+ Comm | 94.898 | 114 | 124.44 | 61.9 | 3.05
270
+ Modify | 29.973 | 193.68 | 1080.6 |1620.1 | 5.19
271
+ Output | 0.25843 | 0.2606 | 0.2648 | 0.3 | 0.01
272
+ Other | | 3145 | | | 84.23
273
+
274
+ Particle moves = 403209139171 (403B)
275
+ Cells touched = 421199727749 (421B)
276
+ Particle comms = 282892289 (283M)
277
+ Boundary collides = 0 (0K)
278
+ Boundary exits = 27980302 (28M)
279
+ SurfColl checks = 274586619 (275M)
280
+ SurfColl occurs = 5261704 (5.26M)
281
+ Surf reactions = 0 (0K)
282
+ Collide attempts = 19281395446 (19.3B)
283
+ Collide occurs = 14559361374 (14.6B)
284
+ Reactions = 0 (0K)
285
+ Particles stuck = 0
286
+ Axisymm bad moves = 0
287
+
288
+ Particle-moves/CPUsec/proc: 843661
289
+ Particle-moves/step: 4.03209e+06
290
+ Cell-touches/particle/step: 1.04462
291
+ Particle comm iterations/step: 1
292
+ Particle fraction communicated: 0.000701602
293
+ Particle fraction colliding with boundary: 0
294
+ Particle fraction exiting boundary: 6.9394e-05
295
+ Surface-checks/particle/step: 0.000681003
296
+ Surface-collisions/particle/step: 1.30496e-05
297
+ Surf-reactions/particle/step: 0
298
+ Collision-attempts/particle/step: 0.0478198
299
+ Collisions/particle/step: 0.0361087
300
+ Reactions/particle/step: 0
301
+
302
+ Particles: 31518 ave 224469 max 0 min
303
+ Histogram: 86 14 4 12 2 6 0 0 2 2
304
+ Cells: 4125.7 ave 4126 max 4125 min
305
+ Histogram: 38 0 0 0 0 0 0 0 0 90
306
+ GhostCell: 105920 ave 194636 max 5730 min
307
+ Histogram: 24 7 11 10 18 2 6 4 16 30
308
+ EmptyCell: 0 ave 0 max 0 min
309
+ Histogram: 128 0 0 0 0 0 0 0 0 0
310
+ Surfs: 200 ave 200 max 200 min
311
+ Histogram: 128 0 0 0 0 0 0 0 0 0
312
+ GhostSurf: 0 ave 0 max 0 min
313
+ Histogram: 128 0 0 0 0 0 0 0 0 0
314
+ write_grid grid/final-grid.dat
315
+ grid cells = 528090
316
+ CPU time = 0.0693426 secs
317
+ write_surf surf/geom.surf
318
+ surf elements = 200
319
+ CPU time = 0.00380649 secs
CylinderKnMa/Kn0p12/simulation0188_Kn0p12Ma5p7/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/simulation0188_Kn0p12Ma5p7/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 0.01884 1.3589 -1.3587 0.021345 -0.00013525 -0.0086093 -0.021344 0.00020004 121 0 0
11
+ 129 -0.31871 0.38526 -0.30645 0.39508 0.41499 30.713 19.203 -23.97 2.7258 2.1838 0.34445 -0.3422 4140.6 0 0
12
+ 2 0.49975 -0.015705 0.49901 -0.031395 0.02052 1.4472 -1.4456 0.068171 -0.00025562 -0.0054205 -0.02271 0.00098564 125.83 0 0
13
+ 130 -0.30645 0.39508 -0.29389 0.40451 0.39562 29.253 17.564 -23.393 2.6856 2.0164 0.31807 -0.33578 3917 0 0
14
+ 3 0.49901 -0.031395 0.49778 -0.047054 0.01914 1.3793 -1.375 0.10822 -0.0020531 -0.026087 -0.02163 0.0012901 126.87 0 0
15
+ 131 -0.29389 0.40451 -0.28104 0.41354 0.37238 27.558 15.846 -22.546 2.717 1.9095 0.29157 -0.32415 3782 0 0
16
+ 4 0.49778 -0.047054 0.49606 -0.062667 0.01896 1.3432 -1.3351 0.1474 -0.00019551 -0.0017709 -0.020974 0.0022874 114.41 0 0
17
+ 132 -0.28104 0.41354 -0.26791 0.42216 0.35585 26.291 14.435 -21.975 2.6758 1.7577 0.26876 -0.31755 3516.2 0 0
18
+ 5 0.49606 -0.062667 0.49384 -0.078217 0.01924 1.3524 -1.3389 0.19055 -0.0064951 -0.045637 -0.021132 0.0022762 107.41 0 0
19
+ 133 -0.26791 0.42216 -0.25452 0.43037 0.33193 24.506 12.804 -20.895 2.7778 1.7022 0.24476 -0.30147 3327.7 0 0
20
+ 6 0.49384 -0.078217 0.49114 -0.093691 0.0188 1.3316 -1.3118 0.22894 -0.010455 -0.059905 -0.020768 0.0026551 120.52 0 0
21
+ 134 -0.25452 0.43037 -0.24088 0.43815 0.31389 23.213 11.501 -20.163 2.6721 1.5241 0.22262 -0.29277 3195.4 0 0
22
+ 7 0.49114 -0.093691 0.48796 -0.10907 0.0177 1.2743 -1.2478 0.25841 -0.011757 -0.056773 -0.019785 0.0031672 101.55 0 0
23
+ 135 -0.24088 0.43815 -0.227 0.4455 0.29462 21.688 10.148 -19.167 2.7792 1.4715 0.20306 -0.27794 3007.1 0 0
24
+ 8 0.48796 -0.10907 0.48429 -0.12434 0.01793 1.2827 -1.2473 0.29944 -0.014082 -0.058654 -0.019812 0.0037821 99.776 0 0
25
+ 136 -0.227 0.4455 -0.21289 0.45241 0.27189 20.128 8.8549 -18.075 2.6267 1.2868 0.18034 -0.2637 2792.4 0 0
26
+ 9 0.48429 -0.12434 0.48015 -0.1395 0.01754 1.2319 -1.1883 0.32507 -0.0078547 -0.028712 -0.018788 0.004655 93.994 0 0
27
+ 137 -0.21289 0.45241 -0.19857 0.45888 0.25634 19.117 7.8671 -17.424 2.6834 1.2116 0.16572 -0.25465 2682.6 0 0
28
+ 10 0.48015 -0.1395 0.47553 -0.15451 0.01689 1.2145 -1.1608 0.35712 -0.015623 -0.050782 -0.018479 0.0048117 108.84 0 0
29
+ 138 -0.19857 0.45888 -0.18406 0.46489 0.23954 17.669 6.7615 -16.324 2.4458 1.0131 0.14462 -0.24049 2460.8 0 0
30
+ 11 0.47553 -0.15451 0.47044 -0.16937 0.01716 1.2133 -1.1478 0.393 -0.012529 -0.036595 -0.018226 0.0055981 105.8 0 0
31
+ 139 -0.18406 0.46489 -0.16937 0.47044 0.22424 16.551 5.8502 -15.482 2.5448 0.96159 0.13186 -0.22808 2318.9 0 0
32
+ 12 0.47044 -0.16937 0.46489 -0.18406 0.01566 1.0748 -1.0054 0.37992 -0.018028 -0.04771 -0.016076 0.0052181 85.483 0 0
33
+ 140 -0.16937 0.47044 -0.15451 0.47553 0.20599 15.22 4.93 -14.399 2.3224 0.79512 0.11391 -0.21368 2082.6 0 0
34
+ 13 0.46489 -0.18406 0.45888 -0.19857 0.01484 1.0482 -0.96843 0.40113 0.0021148 0.0051055 -0.015178 0.0063809 98.878 0 0
35
+ 141 -0.15451 0.47553 -0.1395 0.48015 0.19016 14.121 4.1521 -13.497 2.3579 0.72539 0.10226 -0.2006 2050.2 0 0
36
+ 14 0.45888 -0.19857 0.45241 -0.21289 0.01379 0.97627 -0.88977 0.40175 -0.0059782 -0.01324 -0.01407 0.0061024 95.077 0 0
37
+ 142 -0.1395 0.48015 -0.12434 0.48429 0.17995 13.338 3.5194 -12.865 2.3367 0.63925 0.091984 -0.19203 1946.2 0 0
38
+ 15 0.45241 -0.21289 0.4455 -0.227 0.01387 0.98002 -0.88008 0.43115 0.0050124 0.010232 -0.013745 0.0069329 95.484 0 0
39
+ 143 -0.12434 0.48429 -0.10907 0.48796 0.16706 12.436 2.9032 -12.093 2.2168 0.53222 0.080422 -0.18158 1820.8 0 0
40
+ 16 0.4455 -0.227 0.43815 -0.24088 0.01314 0.91424 -0.80797 0.4278 0.005887 0.011119 -0.012599 0.0068942 115.17 0 0
41
+ 144 -0.10907 0.48796 -0.093691 0.49114 0.1539 11.344 2.3004 -11.108 2.1576 0.44681 0.070023 -0.16746 1651 0 0
42
+ 17 0.43815 -0.24088 0.43037 -0.25452 0.01122 0.77814 -0.67592 0.38554 0.015963 0.027986 -0.010366 0.0064953 94.615 0 0
43
+ 145 -0.093691 0.49114 -0.078217 0.49384 0.14303 10.586 1.8201 -10.429 2.117 0.36948 0.061842 -0.158 1577.1 0 0
44
+ 18 0.43037 -0.25452 0.42216 -0.26791 0.01039 0.74761 -0.63744 0.39062 0.045462 0.074187 -0.0092984 0.0073009 97.379 0 0
45
+ 146 -0.078217 0.49384 -0.062667 0.49606 0.12997 9.5642 1.3476 -9.4688 1.9245 0.2739 0.051396 -0.14443 1366.4 0 0
46
+ 19 0.42216 -0.26791 0.41354 -0.28104 0.00933 0.64646 -0.54032 0.35492 0.054584 0.083097 -0.0076296 0.0068801 84.045 0 0
47
+ 147 -0.062667 0.49606 -0.047054 0.49778 0.12176 8.965 0.98376 -8.9108 1.8035 0.19911 0.043781 -0.13684 1307.5 0 0
48
+ 20 0.41354 -0.28104 0.40451 -0.29389 0.00932 0.64433 -0.52716 0.37049 0.070289 0.10001 -0.0071762 0.0073903 92.525 0 0
49
+ 148 -0.047054 0.49778 -0.031395 0.49901 0.11243 8.3153 0.65241 -8.2897 1.8921 0.14891 0.039967 -0.12787 1256 0 0
50
+ 21 0.40451 -0.29389 0.39508 -0.30645 0.00844 0.58924 -0.47121 0.35379 0.094553 0.12593 -0.0059163 0.0075352 87.365 0 0
51
+ 149 -0.031395 0.49901 -0.015705 0.49975 0.10248 7.6692 0.36127 -7.6606 1.7867 0.084259 0.033739 -0.119 1205.9 0 0
52
+ 22 0.39508 -0.30645 0.38526 -0.31871 0.00797 0.53685 -0.41897 0.33566 0.10446 0.13039 -0.0049401 0.0073203 88.198 0 0
53
+ 150 -0.015705 0.49975 0 0.5 0.0936 6.9073 0.1085 -6.9065 1.6834 0.026445 0.028146 -0.10807 1067.6 0 0
54
+ 23 0.38526 -0.31871 0.37506 -0.33066 0.00842 0.57769 -0.43928 0.37518 0.13268 0.15535 -0.0048158 0.0083332 102.66 0 0
55
+ 151 0 0.5 0.015705 0.49975 0.08512 6.3182 -0.099242 -6.3174 1.5572 -0.024463 0.022901 -0.099614 951.2 0 0
56
+ 24 0.37506 -0.33066 0.36448 -0.34227 0.00784 0.54824 -0.4055 0.36897 0.16859 0.18528 -0.0037211 0.0087058 103.37 0 0
57
+ 152 0.015705 0.49975 0.031395 0.49901 0.07862 5.7843 -0.27248 -5.7779 1.4953 -0.070518 0.019208 -0.091863 889.18 0 0
58
+ 25 0.36448 -0.34227 0.35355 -0.35355 0.0079 0.54765 -0.39328 0.38112 0.1756 0.1812 -0.0034193 0.0088325 103.4 0 0
59
+ 153 0.031395 0.49901 0.047054 0.49778 0.07123 5.2757 -0.41393 -5.2595 1.4287 -0.11244 0.015939 -0.084378 812.66 0 0
60
+ 26 0.35355 -0.35355 0.34227 -0.36448 0.00781 0.54221 -0.37733 0.38938 0.19964 0.19347 -0.0027911 0.0091549 103.15 0 0
61
+ 154 0.047054 0.49778 0.062667 0.49606 0.06524 4.8206 -0.52898 -4.7915 1.3296 -0.14679 0.012575 -0.077567 778.54 0 0
62
+ 27 0.34227 -0.36448 0.33066 -0.37506 0.00828 0.56759 -0.382 0.41981 0.22005 0.20023 -0.0025438 0.0097391 110.55 0 0
63
+ 155 0.062667 0.49606 0.078217 0.49384 0.05821 4.3108 -0.6074 -4.2678 1.2469 -0.17745 0.010044 -0.069823 721.51 0 0
64
+ 28 0.33066 -0.37506 0.31871 -0.38526 0.00965 0.66886 -0.43439 0.5086 0.26625 0.2274 -0.002641 0.011561 131.11 0 0
65
+ 156 0.078217 0.49384 0.093691 0.49114 0.05314 3.9105 -0.67233 -3.8523 1.1199 -0.19546 0.0070308 -0.063579 615.14 0 0
66
+ 29 0.31871 -0.38526 0.30645 -0.39508 0.01065 0.72826 -0.45534 0.56836 0.28807 0.23078 -0.0026275 0.012552 139.04 0 0
67
+ 157 0.093691 0.49114 0.10907 0.48796 0.04824 3.5793 -0.72584 -3.5049 1.0828 -0.22425 0.0056076 -0.058576 585.36 0 0
68
+ 30 0.30645 -0.39508 0.29389 -0.40451 0.01198 0.85407 -0.5128 0.68299 0.33483 0.2514 -0.0027955 0.014677 170.39 0 0
69
+ 158 0.10907 0.48796 0.12434 0.48429 0.04495 3.3299 -0.77736 -3.2379 1.0494 -0.25194 0.004273 -0.054817 571.24 0 0
70
+ 31 0.29389 -0.40451 0.28104 -0.41354 0.01275 0.91199 -0.5244 0.74614 0.36127 0.2539 -0.0025623 0.015708 166.29 0 0
71
+ 159 0.12434 0.48429 0.1395 0.48015 0.04094 2.9932 -0.78983 -2.8871 0.95456 -0.26114 0.0025874 -0.049451 484.7 0 0
72
+ 32 0.28104 -0.41354 0.26791 -0.42216 0.0144 1.0147 -0.5571 0.8481 0.40527 0.26621 -0.0023848 0.017503 188.99 0 0
73
+ 160 0.1395 0.48015 0.15451 0.47553 0.0354 2.57 -0.7557 -2.4564 0.85663 -0.26353 0.0015853 -0.042723 437.68 0 0
74
+ 33 0.26791 -0.42216 0.25452 -0.43037 0.01563 1.1116 -0.58079 0.94776 0.46247 0.2834 -0.0018585 0.019338 215.17 0 0
75
+ 161 0.15451 0.47553 0.16937 0.47044 0.03283 2.3652 -0.76615 -2.2377 0.76645 -0.26241 4.7815e-06 -0.039271 394.76 0 0
76
+ 34 0.25452 -0.43037 0.24088 -0.43815 0.01788 1.2711 -0.62976 1.1041 0.49081 0.27995 -0.0021825 0.021739 231.25 0 0
77
+ 162 0.16937 0.47044 0.18406 0.46489 0.03009 2.1886 -0.77361 -2.0473 0.77123 -0.29142 -3.7346e-05 -0.036735 387.45 0 0
78
+ 35 0.24088 -0.43815 0.227 -0.4455 0.01939 1.3938 -0.65219 1.2318 0.54717 0.28971 -0.0016496 0.023898 258.35 0 0
79
+ 163 0.18406 0.46489 0.19857 0.45888 0.02756 1.9922 -0.76237 -1.8405 0.71615 -0.29664 -0.00072601 -0.033569 342.11 0 0
80
+ 36 0.227 -0.4455 0.21289 -0.45241 0.02216 1.5997 -0.70377 1.4366 0.56656 0.27755 -0.0021552 0.026924 275.45 0 0
81
+ 164 0.19857 0.45888 0.21289 0.45241 0.0242 1.7392 -0.71569 -1.5851 0.6514 -0.29412 -0.0010099 -0.029517 311.26 0 0
82
+ 37 0.21289 -0.45241 0.19857 -0.45888 0.02355 1.7151 -0.70577 1.5631 0.60937 0.27514 -0.0015143 0.028874 308.3 0 0
83
+ 165 0.21289 0.45241 0.227 0.4455 0.02211 1.593 -0.70084 -1.4306 0.61392 -0.30076 -0.0013652 -0.027195 284.46 0 0
84
+ 38 0.19857 -0.45888 0.18406 -0.46489 0.02742 1.9898 -0.76148 1.8384 0.70646 0.29263 -0.00086418 0.033472 329.23 0 0
85
+ 166 0.227 0.4455 0.24088 0.43815 0.0205 1.4569 -0.68175 -1.2876 0.54877 -0.29056 -0.0020886 -0.024789 256.47 0 0
86
+ 39 0.18406 -0.46489 0.16937 -0.47044 0.03 2.182 -0.77128 2.0411 0.74432 0.28125 -0.00042345 0.036478 373.2 0 0
87
+ 167 0.24088 0.43815 0.25452 0.43037 0.01708 1.2116 -0.60031 -1.0525 0.46207 -0.26356 -0.0021714 -0.020671 223.22 0 0
88
+ 40 0.16937 -0.47044 0.15451 -0.47553 0.03326 2.3978 -0.77669 2.2685 0.82006 0.28077 0.00068121 0.040043 403.63 0 0
89
+ 168 0.25452 0.43037 0.26791 0.42216 0.01627 1.1509 -0.60134 -0.98129 0.44451 -0.2724 -0.0024633 -0.019692 198.85 0 0
90
+ 41 0.15451 -0.47553 0.1395 -0.48015 0.03689 2.6902 -0.79102 2.5713 0.89512 0.27537 0.0016351 0.044713 466.42 0 0
91
+ 169 0.26791 0.42216 0.28104 0.41354 0.01503 1.0772 -0.59143 -0.90037 0.39979 -0.26261 -0.0030102 -0.018267 193.06 0 0
92
+ 42 0.1395 -0.48015 0.12434 -0.48429 0.03829 2.8127 -0.7422 2.713 0.89681 0.24534 0.0024285 0.046468 472.14 0 0
93
+ 170 0.28104 0.41354 0.29389 0.40451 0.01297 0.91187 -0.52433 -0.74605 0.36783 -0.25852 -0.0024582 -0.015779 172.19 0 0
94
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