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  1. .gitattributes +4 -0
  2. CylinderKnMa/Kn0p32/simulation0672_Kn0p32Ma4p1/output/grid.300000.dat +3 -0
  3. CylinderKnMa/Kn0p32/simulation0673_Kn0p32Ma4p2/output/grid.300000.dat +3 -0
  4. CylinderKnMa/Kn0p32/simulation0674_Kn0p32Ma4p3/output/grid.300000.dat +3 -0
  5. CylinderKnMa/Kn0p32/simulation0675_Kn0p32Ma4p4/output/grid.300000.dat +3 -0
  6. CylinderKnMa/Kn0p38/simulation0839_Kn0p38Ma5p8/Lambda/Lambda_0_300000.vtu +0 -0
  7. CylinderKnMa/Kn0p38/simulation0839_Kn0p38Ma5p8/Lambda/Lambda_1_300000.vtu +27 -0
  8. CylinderKnMa/Kn0p38/simulation0839_Kn0p38Ma5p8/Lambda/Lambda_2_300000.vtu +27 -0
  9. CylinderKnMa/Kn0p38/simulation0839_Kn0p38Ma5p8/Lambda/Lambda_300000.pvtu +21 -0
  10. CylinderKnMa/Kn0p38/simulation0839_Kn0p38Ma5p8/Lambda/Lambda_3_300000.vtu +27 -0
  11. CylinderKnMa/Kn0p38/simulation0839_Kn0p38Ma5p8/grid/Grid_2_300000.vtu +35 -0
  12. CylinderKnMa/Kn0p38/simulation0839_Kn0p38Ma5p8/grid/Grid_300000.pvtu +29 -0
  13. CylinderKnMa/Kn0p38/simulation0839_Kn0p38Ma5p8/grid/Grid_3_300000.vtu +35 -0
  14. CylinderKnMa/Kn0p38/simulation0839_Kn0p38Ma5p8/output/grid.300000.dat +0 -0
  15. CylinderKnMa/Kn0p38/simulation0839_Kn0p38Ma5p8/output/lambdakn.300000.dat +0 -0
  16. CylinderKnMa/Kn0p38/simulation0839_Kn0p38Ma5p8/output/surf.300000.dat +209 -0
  17. CylinderKnMa/Kn0p38/simulation0839_Kn0p38Ma5p8/surf/Surf_300000.vtu +38 -0
  18. CylinderKnMa/Kn0p38/simulation0839_Kn0p38Ma5p8/surf/geom.surf +610 -0
  19. CylinderKnMa/Kn0p38/simulation0840_Kn0p38Ma5p9/Grid.pvd +9 -0
  20. CylinderKnMa/Kn0p38/simulation0840_Kn0p38Ma5p9/Lambda.pvd +9 -0
  21. CylinderKnMa/Kn0p38/simulation0840_Kn0p38Ma5p9/Lambda/Lambda_0_300000.vtu +0 -0
  22. CylinderKnMa/Kn0p38/simulation0840_Kn0p38Ma5p9/Lambda/Lambda_1_300000.vtu +27 -0
  23. CylinderKnMa/Kn0p38/simulation0840_Kn0p38Ma5p9/Lambda/Lambda_2_300000.vtu +27 -0
  24. CylinderKnMa/Kn0p38/simulation0840_Kn0p38Ma5p9/Lambda/Lambda_300000.pvtu +21 -0
  25. CylinderKnMa/Kn0p38/simulation0840_Kn0p38Ma5p9/Lambda/Lambda_3_300000.vtu +27 -0
  26. CylinderKnMa/Kn0p38/simulation0840_Kn0p38Ma5p9/Surf.pvd +9 -0
  27. CylinderKnMa/Kn0p38/simulation0840_Kn0p38Ma5p9/config.txt +78 -0
  28. CylinderKnMa/Kn0p38/simulation0840_Kn0p38Ma5p9/cylinder.surf +410 -0
  29. CylinderKnMa/Kn0p38/simulation0840_Kn0p38Ma5p9/gas.species +14 -0
  30. CylinderKnMa/Kn0p38/simulation0840_Kn0p38Ma5p9/gas.vhs +9 -0
  31. CylinderKnMa/Kn0p38/simulation0840_Kn0p38Ma5p9/grid/Grid_0_300000.vtu +0 -0
  32. CylinderKnMa/Kn0p38/simulation0840_Kn0p38Ma5p9/grid/Grid_1_300000.vtu +0 -0
  33. CylinderKnMa/Kn0p38/simulation0840_Kn0p38Ma5p9/grid/Grid_2_300000.vtu +35 -0
  34. CylinderKnMa/Kn0p38/simulation0840_Kn0p38Ma5p9/grid/Grid_300000.pvtu +29 -0
  35. CylinderKnMa/Kn0p38/simulation0840_Kn0p38Ma5p9/grid/Grid_3_300000.vtu +35 -0
  36. CylinderKnMa/Kn0p38/simulation0840_Kn0p38Ma5p9/grid/final-grid.dat +0 -0
  37. CylinderKnMa/Kn0p38/simulation0840_Kn0p38Ma5p9/log.sparta +319 -0
  38. CylinderKnMa/Kn0p38/simulation0840_Kn0p38Ma5p9/mir.txt +3 -0
  39. CylinderKnMa/Kn0p38/simulation0840_Kn0p38Ma5p9/output/grid.300000.dat +0 -0
  40. CylinderKnMa/Kn0p38/simulation0840_Kn0p38Ma5p9/output/lambdakn.300000.dat +0 -0
  41. CylinderKnMa/Kn0p38/simulation0840_Kn0p38Ma5p9/output/surf.300000.dat +209 -0
  42. CylinderKnMa/Kn0p38/simulation0840_Kn0p38Ma5p9/runmpirun128.sh +18 -0
  43. CylinderKnMa/Kn0p38/simulation0840_Kn0p38Ma5p9/runmpirun64.sh +18 -0
  44. CylinderKnMa/Kn0p38/simulation0840_Kn0p38Ma5p9/slurm-28428841.out +205 -0
  45. CylinderKnMa/Kn0p38/simulation0840_Kn0p38Ma5p9/surf/Surf_300000.vtu +38 -0
  46. CylinderKnMa/Kn0p38/simulation0840_Kn0p38Ma5p9/surf/geom.surf +610 -0
  47. CylinderKnMa/Kn0p38/simulation0841_Kn0p38Ma6p0/Grid.pvd +9 -0
  48. CylinderKnMa/Kn0p38/simulation0841_Kn0p38Ma6p0/Lambda.pvd +9 -0
  49. CylinderKnMa/Kn0p38/simulation0841_Kn0p38Ma6p0/Lambda/Lambda_0_300000.vtu +0 -0
  50. CylinderKnMa/Kn0p38/simulation0841_Kn0p38Ma6p0/Lambda/Lambda_1_300000.vtu +27 -0
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AQAAAACAAADgLgAAcyIAAA==eJxFWnVYk18btkFUTGwMVGwRFVtuGxM7UGywMbDFbrHF7lYMBDvAwmQbLBgbjFj3+9pd3znHc30//nDXkO098cQdz9O/I29MqafFoHrN998lr8nIvzLSX4uq+zNLTvfTYnz5X3MbdNIif/i5Z9ruWhQyVWvzaZAWp78FWhMaaDHDd8TAcos0WLZoZ+FslxoWdYcSEddV6Hg9qf/wuQoU6ig9WGViBk5VD8irX0KGSa1GtGwSLwFMz9bubqZFwNnRc2YEaZFQxsf0a6AWNbRNnhrnaRFi3YOqS7Uwdgp0vRishd+gvQmHV2jQq0LK9sn31bBnX/0RHqVC04qr4k+2U6C/RfC8WDwDpx9Fhh58IYWP7xsLzkkwZm3dK2O7SPCnadOB/bpJ4N3v0Iyfo7QYU2ZrTLOVWoTeurL7Q5wWdZ3BheLJ84fPLTN7/0QNvAdd3xe5RQ3XyIy+b2uooPnhd7q5TQ76Kfu6dJRsv6FJUIwUw32jW+eukSB0ecG3nNYSTN0yZVxubwn/vAQfnDWL3tBIsK+l6sv1q1p0rbpU7BKuxcOen7OejNRgedsrwaPGqlF9Rnyyr0GJET8Xdp56So7o2J3mD7XT0TspVzmzjxQPP4Sd8FgiQaWb40tbekoQvuvZ50bhEgTVF5M+nZbgtZMuVILjvcc0mRsiRejkcqM73JLibqOb3fyracCOyUcNn5eV19Xcp0RTdsFy0NVE58ow633jQi9bS3Hhw+INqnUS7D2QpisfKoGt0NOaXVZJ0HfNkTF3siQQyjxqebiJFPTfqvulKNzyRLcef6Uo2+ho9MYlMoSR26wvynC205bjjReS58xsWSY1RI7fyfF9NibJsDtwSfO6taVouOVB2a4zJXA07dO68kAJfm/+pNOsJfcVMqJizzwJIi9PHD60oRRZxmGFtk+TYsvGMapkkxQf6TFMk6GFbWj4iC8y6MtdznSvTcehH8uG7fHKwMFt30Kly2U4PqXrl+VfJRiyZU2PS0MlSPE13NL3kvB4lUCuHukOeChBhdBS4z/5SLF4eFC3zJVSVPg6+oe8OFnnKRrgMrBr7Z+OsCp3FYXy02H5UFs5d0IGVqjTNkxwktd75nvDOsphmpXRrORgCTZ60sCQYAG7CAlIMixZnSzh+SIFve2kx1LsTsn//X68DCzMyXlVnJrzZ//+dMzo2KlazQYZiN88faFHUgbCztY6o/CVo1X7fuOPT5FjYeOEJj8T5NhXUWhy7pccSd/vtR2+XYLSHt1vrCkpxV6/VleNO6RwrKQrksHRo0rmXakMNz6dLuUcmw7707ywh0I6Bpv7KoPiMlAi5M2VBaXlIMFNDlQOcgiFhh6VI1XVNLKaUY4DGR863+ukQH12EQoc2O9//pROgXKOu9eL2qQ4Q77VulCG14ceHthdNh27+/ZOf3aCfD8LjAxU61AqJseQgSamgmnh7eX8nOVo+GzTxVFpcuyZ5DM3opYCx57XSYyersCNFnPOFk5WwHvaqiAPTyXGaFXeqwcqQaPoOYlbtX+ouKRROuoW8T7dT5aOrfWXV3sRnYFzl0ueEYuS84gaMnX9ADnKlTgRU/agHLkPjl7saJbj6K5ZPV60V2Dc8yWTs7YpMLThqa2JBgUkza9tet5Fic+P3t+edkDJ96XE05ElK29urULPPI86t7eq/n9eVbw3RBSuKMfmqG2takTIcWEVrYxyHF6b9u1rNQXmd/HSnJ2nwAB9Vl5ntQLfK9GKqQStOiOPkP3Q8BXI+4CAJ8EdVZhdzLjo9zoVgpeNvhQkU2Fj0sY6Hg0y8aaI/zzXnEx0uPV68aOTcvRusKjIEU8FRtFyNEEB7edSi1PvKLDCa8370tWVIEWj1Z+VSrAwyFWiyfbmxTo0UmHz8y4HgheqkN9ZXbddqgo/BNeTDvUy0ZEFZiaC5V6lw/IycWuxbqO1oxp+v78s0h9To4nv1b8LDingwwo+uZ+oOQMGjVZiUeKfjEmPlLju+efuXl8Veoy8uzx0uQpzntg2l3+mQkwgjcxM7F83J2DG9kwcGuCzvZ8zE12fvoitPkANVu6S1DxeskCKc8OUuVlY3fJdbsy9LMx9KA+/uEcJUoyP5b4l98EKpArTl9XKPX6b1PugmFM+VTOBl7m3N6zIxLg/PciWMjGlUcOcEX3UaP08iUSQGlfTHjVd91eNV582NKg1OAukiZBSn4XWf1a+3FhUA23EjuVbemvg2eXoiJNXNOhRrGb3/UdUkJBbrOKdiRXC4QaFZ2ai54y57za+ycQ9EhXbG6nROWXogbo71bidOiEuyKlGB0VC97RBWUg9sfjbrBtZmPxxftSlqhoMbmvxehutASlalXzfaHDscUlSGrTY8G66acttLa8z2ZCvOrel9JVMlGmn/5jqqcak3ydTVyxT49yvczkXTWqoxxYd22B0FvJK0z/Iwsgj+8jJanAyrMKpCwc0aBmyq0D3SYOov2n94oZqMTGxxp3maVrQUy/WJhsvvx8dvGVNNkLvP3sY/jwbA1LflQ9skANzYNH979+q0aZ8W7KlLAR2X3pr/vMs/KaPDdRgVtMvB/PiNMhOKr9F81mD3+vyEqOGaHFco21w+S7pYxUnkRKRzeMkGyW/n5p205mNr50qFf/RMweDOv0KCjubgxnbs4aoi+kQNXJlwp3JOpjL0sTU4OurGFJBNbxfaDDw23mSSVp8mk3/UIuWAy549W6QjZRCP+2Z+7PhcTjC3MydjQksoHLA2vWxHEQtmLL8WQUdyl13VXFv0uHaWVoIdDxec/H2at7i0/dzQatCq2jS7w++eG41abFu5ETSMrNxPpTuJBuvetcZrwnIgWXV5jNdT+YgNu6nb2wRHRazjevQz8P1t6ZVh7wYWvBzcfRNO13uoVx8LdwnymjORQGp5rdb5eHdxZf9223NQ5+LCSsO2PIQXqfb+ynSbOib046Sg2ODaUPKwbbq9CZ02NJ/Z6fz63X8HnVQ+Om+r5qZi+SbNCFzEfDDS7m9Vx4i9u65mXgxD8sv95izqUY+73v5uBX3dMgHZz6mTaInXoD0akNyaqwoQJsH67WHu+vQYK89spJEh4v4ucevVS56GGv1r/0gF9Jx/V97dMnD3/20oOehTYuanm+K5ONmzIfEwbPysb7KyuIzXubDMK4FgWAFGDTue7OM9QVoyxpSAS5M+rblUAU9xxt6XLnxNla/Wo/1M6oG+13IxVgW+HkYQWHj7jx4kioa9zMPtnjv+9Xm5GPh+CkHL+XnY5g9+WWLIQXoR6rr3DsFPP/0uE+62sd2evi2n0ZSUI9O5qn3Cp/UY23wnoZ9NXqwtlzEAAK+MsrWM2AY5jYZOikfASzg8nk/LkBKUOKIdS8KwNKqsB4LyhdsDQvQ/4OfE/XwYAGlx0r5zbDP9/Xo/LVWiw6iHoXzi5SMrW0AS4sxBiRUaEZakgHNKIy8a8CPSTSTDejYld5cASi6im+pB7mcd98n6VHkZO3enrv0KPFwku6MVI/4ivKe2nd6hNN0rmnAbLq8YQZeTwzofbhMqzevDch8f4h0EgNyrC9J5TJC+fOl5kSYEeMZoDFiYpG7ojXeiGtPdquvndDjX6HUY/XM5IVxVQ3YeOdY//kjDByfGThuMaD4nDzZMF8jYhf7DF011IjBOw7OqbDeCINIE8QIcmk9K6QY0W5rt4kWuRHplzMIQjLiawl6QCakkFtKCTKh3YWGzd6vMeDFnxskUgxgMMhmwC+SLSv9jBzPGTEw6xJBMEYcKPk4M+OoEfQWDFIjr5tGzCBV8FslEyJGv6hxOMSECoE0Uk1I0zciVMIE2hXzEk24oN5975XShHNt50c/7mFEh6wXUW3WGOGzMKbvlFtGrIk837ex3YiLeyhgNUHp+zy9UkcT6jFAY8KOUrQjmtCXEQQTrjcwrz8hM/FzNiFjqto2s6kZRjNNfDM+KAcS5GxGoOfVmmMizBwPGJGzqxKBKiZcoundzYQ6h86+ehtlwsANZQjSN8E+kxZME8rs3DvKVtWMjJTNJLPNKNWNMg4z+tVXSBodMGOZw598tRnPG7w6rnxqBkX9t/Rm+LVLLfPtlxnla0XVTKpswetuJVtH/TWBoqHiFcyotkBT4UM3M9p/exZxeaIZE+rfsoTHmnHkMP0xY1HYgNnBCWbMqXLE1UZJ/o6mzTszOvQKif5e1oJyi2qvyfS3cHxkQbeTr+POzbJgRc8BBEJZeLxYcKIxzUwzxyNmHrdmMNhc24IvFHb0siAY28vVirKg6NJS9RutsqCubHSb48ctWEXQY/v7Ft43LahC2EZLlQUU1V5PtyBkSblOw+wW3HQuuO3z08LxnxUTFw+qVXmmheMPC37crN3YL9WCBS1ejIgsIO8pzP1oAa3qxsJWsHLlbwVptra53a3YZO2449ZwK2R7CwXdnm2Fm3SDqG1WxMWvG9L3uBVTZ63cIz9gxXha9o5acdODMkMr2DGQ71n391rEq95W6HWfpmGoFaP/2lpOGG9FCVaArSCHSCLByu/ZiswjVt+Ldiuepp3udeejFYsYALOiIYWnXjZ0S06YkFjDhvsFpxvJG9pwi26niQ1F2cHZEEHpySsrGKzRWbFq+/1ZJb9b4cEKuA2UrUzoZuP5b8OA+SOyl/SygdG3ljY8ozC+uw23h+fvnDfGhmXjHk9sN9uGyc2Diz9ZasPC+gf/7l5lw0RZ4XUdltuwduySj8M32zCEFcT/3v+r/zYsZgTDBiEk9nVirA1/vHuRUmsDS7e7ZD93D7bp7bKhfbm9xQfobZgb0r75UoWN1zcbXpce/vJxhg31Sx16cu2hDY2ZIEDW4ZHUemO6DaNrpv+a6W3nOoMd5I/vzatj5zjYjrlri73YFWiHx4pVVet2tqNW68HV/gbbOZ+yI23400vnQu0Yeq/WRtcQO6ha0KinHT8l4pvU7nbe7+2oG7f92MYuduws8a5yn8F2vg8736cdkc8CPn+8YOc6hR0E3JCItmOS/v7XeW/sIOD8TimZHQWpNEHtWLBm4s5aj+0o+dz1o/hDO8Z2D7ZnX7Vj32ZKSO0oUaESgaJ2OJdKu0b+siOlatrWxT4OtCfd4E45B6wHRpKW60CVyLav69dzgICu1i1qOjCHARIHKFo6Ud+BSYxwORCV5pNv8XNAW0ZXObKtA/0JiitPXpmcMMXB+7MDzpL9O5+a7eD93sHzxwGxO2WeDoQ26vmk7nAHGCxb4ABl5/e3kOeS2+y6zsHv34Fj39U16xxyYJgk64ffaQcoC/U/78C2dq12/XrqQKGF9IYc/HzI+r2z/naQOjDr7rjpCSoH5jXo1LbIewdCKHzSOpCx/iFBLg4MOTWIMCYH7ycOPF3w1rDX5EA9BlQcGPP5fk7sbwevrw70Yw3OgWokm+sWcWJCaUvPh15O0KoRWMeJ0qwxO5H2m16ok/N5J49zJ2a8PONwRzgxyv/XUMx1cpzhxKnhVFBxYt9ACoCdYHR8lBPK+KYnLcucqMSIhBO9Hno1RryT56UTLZjw5ETYjKFeD1KccKZNI6nqxOY/JVuMzHSC0Y4nTrD2r3PyOufEMLnQYIeCrJNe4yMnElR9SOdx4nIfyuxcHKe5sNK+7seBDi7eN104cejz5EYNXdg2iBJnF3peGkpKlAuyTqGKPeEuTLm187L/FhcI6L/2uZeL8xcXYiolhBiWu/A9VLo8cJ/rHy2Su9AvZn3AgAsudD1X8Mj7mAu9XZdmrrvk4vHu4viffG7q0Rqqim7YqlJFwoXrYw6/609eqapUyukCC2Ozi+/TBSab2V0YwIg3+b4Wl+YeVrlA1bmbMhceBHaZtNXDzfUHN3qyQHAj5acpZWakG8c/UaLtRmEqK811g5WLZW4wurHZjZnZY0hrc/N8c2OPsAJB493Y/Nh/VmYPNyiaHtffjba1NZti57vRiVT9/J1uNKzkRyCxG9u2yl7dPu2GN02f124w+SzXDYpmSYSAsrLyBW40Z0DKjTevw7QqbwGFEkj5ryOAHVdrAZdp+DxxI/5pm9K1ywsQIubtS+4ooJHXp62d+wqgUXEuUMCTpSXK/K4oYNFr2byiwQJqMIIlgLU78kq7esvuAnzHRHQqGCTAhzU8Ad39qTIiICzP2cGxUkDlqjceqBcISCern3xMQNLgWUeWkNd/PENAdZrmkwRcm5E/P3angGdV/IcVPytg7L7sOnHbBfRkgJ+sh9Jw8nvSJCOHJQhg8kIe2dewUcGSj2QdDLgIAJWh3OTvaRmuL4J2kXdnBCze6ry29pqAR8mUeAkYyIikiJGRBT5P/wrQnJ3XxUsjoBYjuAIIeF00v4YIqprOby9yPUnEMloOfwro8aL96opeIioHHdpkqCdy3CXg9OnV67b5iJhG4dcXAZtbPz5SlDznI5Ufq4ig1SmXfA+jbZVFDO9IO7II1r5HkOdQeacmeS4jVgIWsgQVcS2gQk50CxGNqezZQcTjPtMl9yuJYOVznMj1J5HjRgEZgXViUsg6SxGWpcoWkHfoROLzoiISrVT4FHFm3MZ9J4eLnC+IYG1qCfl8U8qMRcxlhENE+cKbB5+fKkI40blZ5hERNlPO4MB0EfaKy/YulIk8X0Rcfk8Bpgj3ENrIyDlXpIKuAAaXPUQUGnVjSj3y/8V25zx/81tAbO0p4pjuItdFRLRkjUHk+rII15wTzt1HRfgygZmcr/dqAr1FtDlzq923ZyL8GFEUwWT42iLvoyLX4ck5U9lnB3le2oVwAzmff3WU7JteT5CIL5OpsCJCoisfWmq8CIpuPm0VYWmoDvbdJeIllVV2i0h4uIwwUxF9aoRcfXGRPHfr+N5JuSIoShhF/v8fDhfBZObpItcTRDB62lzEsD1eU0p1E3FYuyK8RhMSbyevXNNOELnOQ55DWHvOYBFTGKAW0X1s+vl7l8m5sgYjIjYsYFP0GRH1KH1OFrluSda7jzYs8jnFQgJxRGw/fWz6qLoivve9PejVFBHKQpToiXjVuONeyWoRd3Qt2mhmiKAscVM0ieOu2fuaku8L8vC02t+T86fhRe7xH68WwcqYSoRn9OBnA3TkXOe3/3iFPO8fjhcx8OPOYQtJfunIbXr3EhFXtdhIb7LfWFqmJovIPtzdFrRY5DqnyPGQiIlM0Bfhw4wUsi8Km46J2Pz9QxH3WbJ/Sg/SSHz3oAWW7HcpXSiJUyqzkvihqLJFGxFV3h8nnUXkvEbkuEvEBi19MIlXKnPNFNF7QrcjSeRe/uFdETeOv734sr+IEAbwRc57RK5/iKi+adeWxiQeU6i8ReLXOJoSTXI+BF35kbwuku3Kq03qwz9eKWDyNK/jGq2Ab8NM548+J/lPYcltgfs2Ii7epEKGgD65Uxw9SP6/e361Sg9yjqWpvBwmgnbBPz3+e99xkeVm57ICmh1JDy0RIvD4EDifFzh/ELgORdYnvU4yWuA6l8B1ZoHrhwJoNlSUCzg1m3ZuATTrgkl9eE7pat3/7m9Te4qIBRwnUWRpKKBcvQ0hNcjz//U3gftLAu9bAvZRGYnU96JUzj1B+gMrWALE9JyoKkcEDGCGk8B1OoHnkYCGKXNXCKSeV992gZyMAKpOdpG7IaylwpWb4y03ytI2ZXODwaCfpK+5Z5BWKWDBg2b+bWsLODSk2d1b1YX//54UzSX9PAQwu4G8j//iIMhV4H6SwH0wAa1jLQS5kr64fZpcDjeSJb1WNJzq5n3KjdQIatC4UdDqomTyZDcSo6eTLbtBo/vGcTdoNvV57MaV/VQAcKMQ+xEwjwmrpC+QqN9K9jGLAXI3GG365EbpxF2h4767kXXtRFx+Ozeoule2kRtsex3dvD8TvPIznlRSN49TN+oywuzGGFoGxrl5PLs5vnNDT9Nir5vzbzfn7W4wmBzvBkU9yeR1EGucLlwQJhDo58LYO1lVSka5OC92cZzhQgVmmLk473HxPutCDSbsuuC/Q9Hx8hHy/+Pf/ll63cXxhAu0C+tFFy51pIKWG8wGI/jL6aYAw4miNzQPke/Epe2rT843ONGWCSdObPi82vujxcnxtxMVnp3dUS/LCVr9DSVcvG+6eJ64uN/pwui0Vs+TWrhQJLk4YSoudKa23HgXGB1e4AJFn4P2Ovl5OHG9e9qgyyudeDe4EmldTtwqQhV+J9fxnNyHcaL4pfjIWeTvqjJg5QSzra7/t24G471d2LDWlp/awMV1LxdmMoDngukyFQwdiKj1ff1agv//6ZgO7hc5wGyFAsJ/EtsTiuJAsQ6NJl0QHNzHdIJdC+EDDyqN2r+S4PlAZoQ5MZgFpJPXUyfXeZ38Hp3cD3GAuiUvNzp4HSM8h3Ql+0nCa9Zd+lnonAOjqP3z2IErtnNfd1x3cN/NASY3bnCAyXzk9a+bEmbCz5gg7oCsHnUyHLBROSLfAepWnyfrb0Vtz092dHq1xv1ZtKMnEwrt2Bw7/49/JQeoe55X2wHqBiwlPDGQ2sVtHGjBEtmB9zQ8+zjgxQixg+voZP3MeHFwPuHgfcMBdp2RDo4L7bgz7UCxS/F2TGSExo5zr95G/bhpR/U2nwbNS7LjY9zMkztf2UGr2dUXdmwakbxnmdmO0x+rP+z52Y4pvcpcmPTNDvkkhgyhevqD9CI79P0Wzy5mtPN+b+f6kx03qRzc1I67qxnQ4r6CHS6CLis0s6M1+7HjQ33HkTft7NwfsXOf1A6WPnXsoFVWHUw+t23DnWP9/9MFfFmi/KcHsHGF2YTnB1OkZgOz6e7ZEKQcuqzTMxtIc358Q2njdd2Gsqwh2bieY0OneelblPk2pFX/XG6HaOP40AZd7O/Ir2Yb3lPb5psNbDm+ZL2GEitWVSWvscOrjvW0Y3h8dtFrT6w4TOFjmhWfqd1qteIxtRWL2fBm/sWFiX+seDWdKmk2bKH2bmsbzleiQqYNQ8sq7N6TbYhhjcTGeSzZB6UPS20ooQ25mLDChjv3KcGy4ccqKvjauH5u5fXZCuomfF5txYfxt1sZDloR1Lh43nilFX+XUmZn5fuzYj+Fw7lWGBQvy896b4V3OanC9NWKCGYM2FDrz5GrQ8rauN5mQ0Q96rDYwGyyLuRcCLot2GDhcWQBVYWy8iwI7UWdRyvX8a0cz1rB6EsrK9fHrdyHt+IplbHjrJx/k/fUJky1gqpGs9xWlGYEyQqZlP5YEZtocOy/YUYMG7gww4emfzELP08Lj3sLstO/EqRhwd1eVFi34F69Y5WT7eT3npRYWvG+N3XerXATlDKiqRUUpU5tZuV4zYodtIx1JfdJZfkwK9d3TDxuzZhY+/iDD2FmPMqmQr0ZbMzgppn7fWbOk8xgtgJZ57cCmigWdGIXZgGzibtYeL2ygMkOMRYwuznuPz3VyjqeCdQdmgYTBjGCZcKDU3TQxYRrBCUpEkxgdERjQiMKy6uZweBhPzP3i80Ietu+V0i0GTtoOdptRv8rdefvOm/m+WEGGzdRmrnvakaxBZ++pQw0gskQa42gavvOy0aMYgXGiHULeu/7UsKE3aR69gwwcf3VhCW0Da00obRsUfUZ8SY0oOmtM+GSiQoOJp4PZuwcTZUOM+dXZtR+fNeRscqMFDomstHA50UMGMAC2gDKVk90NnI9xMh1PSMIWCZI0MjrkBFMZixnQt8HUz/I2ppA0cnH+SYEEFR/7ryJ69MmVPzQLWOq2gRWDrJN8GQCkZ7zUAPHdwY+l2TAVmW+vlScgeuCBt7fjKAoo2MnIx43pQqyEaVrlx/mt9WIJszgIutzU0Jo5PqukevAJj7/Y+I6UQHv33oY95pCHRP1XK/Rc51Nj+W/8i/gpx7BN+t3HdjcgAlsMMgAZt8eMEAzgEaigee5geuJRh6n5Lzu7vWtQe7xn49oRGc6VhWaD2YrZORzvlCA/U1pJSkAgxE/Cngf0qNLWYpY9aDTBQ+O6nmf0IMtk6yrBBt4MHC/wwDS7GaPXGngvMwARqMkBq4v5CL/decPHkXzQLvF0GV5/N7yOf7I530nn+smBfjkc67atgsFXF/S44hnjRPjG+s5/tNDTcv/Uj2eztHeaXRTz3VqPUhzJYDNgKrUDmil43GlQypBM+sr5PL5g1xQNF1Gl4tezGDMQ1ZNKpTkIWwIdTTzOY7LhzczSgrwIppmUAHWEFRWXFuAa0NoAdeDuqHtm+tRlA1G6DnPzoaRtou6OXzeLIf3AR3XE3RgsqxRB2YDtcyFF7XNYnMxmbXbXJ7HeVxXyMM2Chv88mE4SAef8uHMoIMEBVDfuP2oz/SC/8+zGXpRIKzl82nZKPxFEd/0ZDbvWzm46EcnwnJAo37Bpxyw8Bqr436sDkxG9MpF0pkSqpYrcjleJ+dWbFvqYbIeOrVhvpfH5/ny8fNAh3GVK2q4PqABdZ1CRQ2oO1lspBYMBqZrud+WzXFJNp9jyUFVKmvtzcE0Rux0YGNe43Rw7r9Rev5VHU5RG/eLDidl1KDMhbU4bYy5/59n+IfbszChsaTcqwdZXA/SgJX1gxpQ9cz8QYOvlPZEavm8jBbM7uuUjcYHxo4pszUb78tTQzIbswgqKj08B3ceUSEpB8uZUKFDHMmmpWRdwxjwyYT9y96X033VYPbfbjXY1xWouV6Zha7Ufr+aBa9/jYHPtWjQKrryl1upGs6vtZDVml5801Ut7hWmBnI2qNowIjKb+8PZfL4mh/NFFffFVLz+ZvJ+n4kebABNDc9dbUmpVfP9qBHADKAsrhdlIZXKWkU08C9MkbkG1F32vq/BvdE08LVgxxGjBXUbr6RpcexMvfu/NiuReLUNeZISfQzLKyWEqMDg8hEV98FUfG4vE0vZQF4mr6dq/GhIv1kNNn7lUHNfKwvhNZqQLWVxfJnF9QoN5h1WRQYmaQDS1S5tV6ALI8YKVKVtr7sSAymsO6fE211fL+8vqUL8OTrQoeJ1QAU/Kk+WyYRX+XmeI2ZmIoHSykeZYLaEn5rPN6qRHE4Hw9Q8T7M478niOOu/ebsAKndHKsDGrV4quM+nBBvrjFZiBtumEo++SPcWClIhZtZEkioqMNrtUuHv2Dc7d3TN5LpuJgKYQJPJdU01foZHvfhzQ42WEYsI9cjg/F2Ov9R2mChHfH51bZOncs4TFHhD5evVClSiMqNZga2HKvT91EqJT+1OlytM7ulfXVMikqDhRe1UfM5Shc/9wja1z1LxPpzJdcBMFA66PftaQDooSrj3Kh3LGdHIwOl+NDLlIIshDFfOfTQ5n5eQYwSVFbsqwNrNCQX3RRWcdyph/tr2d/YuJcfZSj4vo4L7SYd6/WJUqD+ZOuRSULVo+2QZ7vSjxE+GYOGdJmJHOvyZ4JyBKWxhGahP4VxTOewtJ4xfs1IOZisny7m+oQBV+beGKfCKji0kKkDZm+cfBc5PLUuuVokybIBFifDo3Ma+VyWw0XGLWlK0o2Mnp6UIZwPCMu7zyLiPkY4WbDA0nc8jZ3BcLOc+rRy0S4w5LOd+qfz/88n09qpvUqADM4QVeDCLTkxJ+DyphPvTEq6PS3g8SbkfI0V/Cm8WybCWwkyPdJAiTShROufXGSCXsM87KwOL51OFSY4ef4tVaTpTzuu/nPM3Ocr8rhh+9ZKM91sprMvmLcmaI+H5L+G4SoLBr6aUaGKScLwu5Tq2FIyGT5Dx+UkZnxtNh/tH8YeTdOlgMimJl394OQO51E7vKQd1TR5MVeKKP1U85GCy2VUZnrL5cymfB5P8/1wizc3cMzaTc6Byk1KC3N5UiJTy85Wifi86OSIDkwuuy0Bd45z26dyvTOfzEhn4H40D9gM=AQAAAACAAADASwAAlQ8AAA==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AgAAAACAAACAOwAABRMAABMJAAA=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CylinderKnMa/Kn0p38/simulation0839_Kn0p38Ma5p8/Lambda/Lambda_2_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="606" NumberOfCells="500" >
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+ <PointData>
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+ <CellData>
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+ <DataArray type="Float64" Name="xc" format="appended" RangeMin="-4.9522" RangeMax="4.5174" offset="948" />
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+ <DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.37404" RangeMax="0.3846" offset="5592" />
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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="11388" />
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+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="15092" />
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+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="16068" />
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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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_AQAAAACAAACgDwAAtQIAAA==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AQAAAACAAACgDwAATwAAAA==eJy7vOexiKynkMPlUXqUHqUxaM6fC9I3rxqlR+lRGhut7FXdrM8jPEqP0qM0Ftp2duj81bmj9Cg9SmOji68LfXI8P0qP0qM0NhoAXjcwVw==AQAAAACAAACgDwAAFQoAAA==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AQAAAACAAACgDwAA7gkAAA==eJxlV3tYzVkX1kWlFEd3jtKVrpRSFEuiUqopFY3SVUaTyLWIkIkiCqWQEKUiJalJiTIhRKk5G6kPSSqXUmRC3/qd59mzPd/31z5n3/da7/uu91dZa+xWaU6gsGPETf5sAsc7JuZ0OhDo23r8R489gZRMj6EN1gQmx2a1N88ksH/Q5f4WExx/MMMiezIBo5RSrRNKBORWbjeXlCIQJ6bhfUOcgPb7ov7TMgSaI9/qmmD/1PAskYqRBOw95ec/lyRwI1JC9rs8gQ8duXJ/qhL47jxl/g0NAusSDrT3qRPY0FW3MkqNwJY82/C4CQQCah4brMB5Vt/MvbOw/1jRb7Os8P9uffOtpxQJ5CSn1j3jsXGdjaLHpHDdmPf1T1crE8iP1Pp0B/dt1nV5v3kKgXm2w+LKBgQOq4h7yRnh/bKWhq/COGwe/P2y3Wz2X0drZYCrFQEFnwvnb5oReNuU8rAP49Hb7+gdZ0lgfNZGD3Mb1p+vu7d8zFwCy3nf1ujguhCToq9lMwh0bPBeFDaHwKIIzyebFxBwM6lv2z2PxVfEvCTs4lQCH1f/U6yuR8A6Nu7HKGMCddk+L3yxhVfVO5MMCciUZEfdxvE/205PeYTxL04j0T74zmkDn7I1MQ7yk79YKWCcD2j9/XLxCBbvcpPZAfHYpuurpDSNYutmWFe6p2Lc/yj6Y5KkDgHDinsLonHfdG5Yn8DYjeo7mnQJnEwbCJyC/TkwlKxpSuBX/TX2lkZs/bWyRImPiIMIsTmwfyyBWRtfF1uPwXfGrlKZo0lgjs+6Fr2JBBrg5l8J4wmcHjTpKMDz5JuXiS3DtsVOLFJGm4AxX+quKJ4X2bAkKQTfy48OMPWcRuD3Xr0RtdPZfpsdJbuH+QTCbP+yjEEcXebtFQzIMFxQHND1h0Al8j3m1aY36L6vE+JWeAABPGxtdziBHuWeuNX7EA+5u9wWZmC8kycvFCwioHlgY8QEWQLCdCGuV/OLlDJFCdwb/KKqLEfgc4zcp9cY78E2x01hOP487WThLTG2jkP/Bbynf9cb5wUYz68KI16pmrF7UTwGOmo33MN25omvzfxJ7B0er84dv4X/l9i+VHNC/Gop1irtwv2WBx0934pxTJYOkrHBe1wqcvJYg+cpy+0OFsF49CMaajEfmREv5jpg62R9KqwO8fFDV0HzP5if+zEOVdswH/siuB4CFdCa74Vxd9XiGI1xUR9t/UWN5f2SX+GEq5hvd+nyyrMmDK8UjxIDRuvLDRlOfzRxxCfgm5Bfdx15JqQT5jeDd67yJvJxnIvM8n68T7DW2EvdyozfSuZpcS/wfGG4+UwHXr+TyhmJ51XH5SypQ/whaUJOmbLznbrEzXgzWHw9Qz/PNcD4ZqrbSR3EfoeEO4UJFrhf2tSpN5CHs6UFWWsRD/WJb0c5If96zBrdo5CvDyTSg9sN2flUj2wqCjACBO6kXUtNQlyD+fLyhaMJPCpbO0lbhuGfxp/mry2bIwwBQVwCRppAauTcJ0cwHs8fLJ64DvEci2jbgf2r6xRbX+M8BO2ZBszLHm66AoGLbmMaOjG/s5s1LGowv9VufV18xNc1aT3I/SyAbcjS2q8CsDiwdJ+rCIH4ros7L45jesCh2hTvfdySUwwC3dwwvm+ldIaAIO/S3AxLr4xnOkrf21jLQ8oREIZ3FvJ2wyZTS0fUEYUlKduWEEi84tF6YC3jf23VQ4wEgQLit8kV84Xg1s+VZ/gcH37jzR7UZ379t1A5xN9iH8/Pvvi/Vf2Dp4E80wVpY68mf2xF5U47PlBj+kz1pjRmxbmFeK9DycWFORin9pAykUx1hlshDHUZ3qi+mETPXxSvzebTvFBe7arjCM14QflN4+9Y4no7SILA2uh36ToiTGdvFRljZUNdcrmSn9QnAKG8fxTAB8sF9uswL7TuvffzXuUuTaCGzEuKxfzEhFZsOKxCoFKlLn6TIsvbEy58Soz3tG45tAS9tVVm8ygeJetV3Z5OYPWW5nFEQfBtO1y/Rt89IAzz86zqcuNZxFOSyWYjDdxvq8kR+XeoR1fU9TRr9FkeKf5oPij/Jno6YykgML1lx8MxGOdbfofNu3C+hP3d/PXIA1+hgLPzKO9pHaF17GFI85tQA4a7v4dn3j+K78rrbXQORFyMlpx3eQfWp9zQXeeHsH7xbpcjswg8tQw0moNx/M3HcuyhkSwP/sJCyd73OPO7A0+V+QEaX6p7dD9aDzfVXF2QLsvO77XrSAYVxsezbdflTkxnOvIq8b5WDOqKs6NN6VEz5gPWkKtTitEHDFYH5/l7ELDzs0EJYHFbgb3uk1k9pXprHsQxi9VVqmu0DlOcLBUSh+k8xd1xMfH1/YMCQPPV0dkrALv66pOb8L9wmTjDLdWH75k10VHYvlFJqmz9LvjXn1E8c+wWHxbAOyJ1q/sfAUhNKok/PCQAvQL9oQIpFjd6H5p/Gl+q49R3CeGPeD2Yxxkj5g9oP92vqrdkZao4a5t603bW4TvoeLT0jt7R45mu0n1onXvaUdu/G3mu53OwemAK0wPKAzpO62Bpw4hWUcSNmdBwML7TuPVxx38RwEihURX8W//pu6mOfVJvXOP3k6/i3Ig0j/nWTqz6+1G3jg4nbR9CHS0P4Zzz/9dFH1SppXymR9lleT3XNJnuUR69k70+LR3bvbzqrEQt5oNonac8pvWY8o3qZnLZ7cY9yMOACMtP+TOZL1V89Q0dOAEhPF2wDlq5NCT7EIjibDq2jUO1gpPe6O87ZqH0o7/EaufwC/La4+b5szhfLUF0m6YrAVWObu7MP4nZepVuwXGuqgdi/bAramkMxe8LS8flGUFzWV5eSkRvV9Fg/o/6Ilq3tE8oVXQaMP5RnxGfNm5h/098ofotJTQAqBNFZyQe4/wzMbv2KaKf3xnpW+VvwfZ7wx2vxvQVg9lxD3VMaG/GMTyrtWSUPDNm9RBFs/UO+gZRRLECEBDnz0s5hn5CGXd1mM7m23O29qfvDepfBxMvzS7WZnp5YXg9OhPmE2kdoz6Y+hnhZwXq0Kns1IsDC9j3A8VVmcRVx0LUIw514jNZ/aR+n/KH6hut8/R7guJEKBc/+Se6z3peW7z3VPaf+i+KM4pLmlfq12jc6Xfk/34nUT9MdXJ+ltXeDNz3l7xts9QwnkT2mdIKvEdupoViLs4zsuV3v5zB/Gh0WXvZYsxLu8LEu68xH7+Sx3Ixzri+zTTnXiDmmfvMRJ9fe+ZtTzD6lnEmOoc6V6APEWYA9b+pZ6eXP9aD7EdRib7IT7xt2DLU2SMOZ466EZCtscefBBbyVL167QgIZduS4YvilvI63C0kdhG+u6iq56S1IYsn7dew5ioa+iSxlN4P+L7pCa9TvWxRD3C36PmMX/8F061Dog==AQAAAACAAABoHAAA5wYAAA==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AQAAAACAAACgDwAA+gQAAA==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CylinderKnMa/Kn0p38/simulation0839_Kn0p38Ma5p8/output/grid.300000.dat ADDED
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CylinderKnMa/Kn0p38/simulation0839_Kn0p38Ma5p8/output/lambdakn.300000.dat ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p38/simulation0839_Kn0p38Ma5p8/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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+ 1 0.5 0 0.49975 -0.015705 0.00173 0.040677 -0.040672 0.00063893 -4.0895e-05 -0.0026032 -0.0006395 -3.0854e-05 10.016 0 0
11
+ 129 -0.31871 0.38526 -0.30645 0.39508 0.12214 3.4192 2.1378 -2.6685 0.57802 0.46308 0.042659 -0.034641 1106.8 0 0
12
+ 2 0.49975 -0.015705 0.49901 -0.031395 0.00173 0.043768 -0.043719 0.0020618 0.00017482 0.0037071 -0.00068397 9.0612e-05 12.222 0 0
13
+ 130 -0.30645 0.39508 -0.29389 0.40451 0.11788 3.291 1.976 -2.6318 0.6188 0.46461 0.040757 -0.03404 1082.6 0 0
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+ 131 -0.29389 0.40451 -0.28104 0.41354 0.10924 3.049 1.7532 -2.4946 0.62445 0.43887 0.037346 -0.032289 1010.8 0 0
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17
+ 132 -0.28104 0.41354 -0.26791 0.42216 0.10443 2.9214 1.6039 -2.4417 0.60602 0.39808 0.034712 -0.0321 965.09 0 0
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19
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+ 6 0.49384 -0.078217 0.49114 -0.093691 0.00169 0.041383 -0.040767 0.0071149 -0.00046798 -0.0026814 -0.00064768 6.9638e-05 11.846 0 0
21
+ 134 -0.25452 0.43037 -0.24088 0.43815 0.09315 2.5972 1.2868 -2.256 0.61006 0.34797 0.029794 -0.02997 872.11 0 0
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23
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24
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25
+ 136 -0.227 0.4455 -0.21289 0.45241 0.08118 2.2573 0.99307 -2.0271 0.59564 0.2918 0.024954 -0.027257 757.11 0 0
26
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27
+ 137 -0.21289 0.45241 -0.19857 0.45888 0.08187 2.2942 0.94408 -2.0909 0.63375 0.28615 0.024784 -0.028348 815.03 0 0
28
+ 10 0.48015 -0.1395 0.47553 -0.15451 0.00169 0.040382 -0.038597 0.011874 0.0013467 0.0043776 -0.0005851 0.00025527 12.363 0 0
29
+ 138 -0.19857 0.45888 -0.18406 0.46489 0.07574 2.0969 0.80244 -1.9373 0.61432 0.25446 0.022253 -0.026432 716.87 0 0
30
+ 11 0.47553 -0.15451 0.47044 -0.16937 0.00165 0.038446 -0.036373 0.012453 0.0016789 0.0049038 -0.00054495 0.00027263 11.099 0 0
31
+ 139 -0.18406 0.46489 -0.16937 0.47044 0.07063 1.948 0.68855 -1.8222 0.6032 0.22793 0.02029 -0.025042 685.65 0 0
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+ 12 0.47044 -0.16937 0.46489 -0.18406 0.00185 0.042763 -0.040002 0.015115 0.0027826 0.007364 -0.00058462 0.00035309 11.42 0 0
33
+ 140 -0.16937 0.47044 -0.15451 0.47553 0.06426 1.7715 0.57382 -1.676 0.56979 0.19508 0.017963 -0.023261 619.98 0 0
34
+ 13 0.46489 -0.18406 0.45888 -0.19857 0.00178 0.041984 -0.038788 0.016067 0.001078 0.0026024 -0.00059233 0.00029324 12.087 0 0
35
+ 141 -0.15451 0.47553 -0.1395 0.48015 0.06254 1.7163 0.50467 -1.6404 0.59212 0.18216 0.017228 -0.022906 610.39 0 0
36
+ 14 0.45888 -0.19857 0.45241 -0.21289 0.00137 0.032284 -0.029424 0.013285 0.0022107 0.0048961 -0.00042745 0.00028558 9.9378 0 0
37
+ 142 -0.1395 0.48015 -0.12434 0.48429 0.05847 1.5998 0.42214 -1.5431 0.55987 0.15316 0.015425 -0.021832 559.72 0 0
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+ 15 0.45241 -0.21289 0.4455 -0.227 0.00148 0.033149 -0.029769 0.014584 0.0051362 0.010484 -0.00038691 0.00039375 9.9348 0 0
39
+ 143 -0.12434 0.48429 -0.10907 0.48796 0.05428 1.495 0.349 -1.4537 0.50614 0.12151 0.013432 -0.020925 533.78 0 0
40
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AQAAAACAAABABgAA5AUAAA==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AQAAAACAAABABgAABQYAAA==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AQAAAACAAABABgAA9wUAAA==eJwtk3k01GsYx8eYRYsKUSKi4iZyr2trcZ9fcUsphbGmjhZHdVGStTpIliS3usrBIEtDtiyVlDw/QitXrjVRw2BIyTCyhDtDf77vOc/7fb6f7/fldGo9eTpkBpOk2Vl+twvk/jmZfpjjDs+k1+glPvIBScg+gpq+4HCK6RG67iKcGLQwVHEPgXieYb3e9lBIeiJwTGZGQFrRkX2uVpHgGtNzSBh8BcJzPYXs0Rjw4uuodHpfhzAp48taBlchi3vQwajzGhyViy8le25AXdU5NbugWIjc1dXT73wDss3DCsPWxIG7abVxkFwC3L9wu6+iIx7YHU4az4fZ8HFK6YG9agpcW2JeWZ6UAXzLgtktRnchejTNFxdmgacHN+BeaxZYDwftYmXlg6uHzbZN2YWguJW73lj4EHJqZ3NilEvB/mAhDiaXQQavaTPjOILbwqSW1vWVEMCQnpZzrgJJU7uSQMsaoPVF//JF+jXYu7wcsPu3Fmzo6Te3SLyDxyphn60eNwDtNceZe6gRolPZJ+zVWuCNTl54lcl7UPFQLlRI+QBu2gl1loxPoNh3eocatQvu7OftbjDohoJc/Q30Dh7IRrYIF/n2Adwb6/d/ywfTvJOdXlEDUGrIih4x+gIjPfTWXZlDoCqWUxkG691JwRqVAsi92n6CcnoEjgW1mQQ4CCHjY/kS9u9jsE8+es8AbRxCdfdyFu6chLvPKlZo2EzB2Yml/SX3p3+eZ8FU+XOX4SoKcU+u3qz1G4V4zarIyrCUIKJUj311qqQSLr77VRQGqIRJom1KTp4k4dJTr94eQCOKkoYya97QiLJz/6ykNdMJDV5ocq0Wg5h7L4FB+LPT1pb+YBBeStKfdJYxCUHDvqPLHJiEa7YLyzqTSdxZpduxLpxJ3FaL8fFSYhJ3tUWTR5nEIY/qmaIpBvGQE/BiwxMGkfbAaLySRyf+5glUG07TiX6N36Ry2TTCVbHLYUWJJLF2z/lQ3bdUAi+uNnarkiC++3xiy9ylEF8vgMHhJzPArFO0eq/0A8pTxIIT0Lc6k2++aQze3XCeMZ0UQEpPwBm/5q+gpFUzkXiAD0kWXrZtflwQqSg7HW8CG2fbsUMyZWA+J1CGdgmxlzx1m3DijlvxgDcXI0fbW0K8+WiwWFXGRn0I530L0D9Q7GgM9fx01FRHx5FlrXnnSsEUSnuJE5vBeY4UcmrLmbrIBgly7poiSdLslugUJUmS1nPFopF2F/MfHQ2ik8vzd3EDY+lksgi7RQmDnM+HQQaIgWgzyfBX4uAYJP/UxrG4DiYZcsv0qrsbk2xJP2Oy0J5JfhONGS1gkp76wSUElUnWFzsKS50Y5Al1d9GqdHIxdWOEgiOdnO+5SE9ch1FJcud6H2pCpCQ5nwuVFFPdvZhKFp8XFBz4LEE2V3voBxtRyPm8KKSKGO/sDDbbDeo+1ZxGoyvbRVYnkVpGl10Okz85jOPc/ju+o8UATV/GUIhi+ba6EUwVY30owNHpRv9+jWEsF9eU/g3Tt0YmbTj3BXvz14uaNoDexwIrZZf242C6jf0fb3rR4iVTVFEe+jjudf8jvxvnvnE2F8Vq3P6PyI5irTwo9QHV99/Mj7/QhsIRjrp8TTMacTS1h4MbccpZbPAdlv8ar7XyVj0+MyiwvVRdi3HVVb3d719izuBT9fGPNXivQl+U9HM0Tl0mEXGgAh+NiBctR2e/EVbEhzK06nzxTtmxFNn60lG9Eg8wy8pcL8evAAVFGgrjUfmo1NRPNNvkYC0v0cNzbyayDbv1zeQ56F5cKDuSm4FvzWSsS4pTcLp1HXTZszFvYjhOQRiPhfsp1S9vxqPcf2EO0zK38YOM5aLDo7cwarPUFqemm7hpVm16zOc6BkVKK1g2ROPQq+c78k7GoLxxG+MrcQ0rojc4dLtHoR6N8iLZJAKVVjbKhjtfRv2wur8GZcMwp6ZEmRURgqlxY2fNjl3C2CMaiWWyl3AiKLC1wCIAdSy0FoCmN5KDydu0G08h67FuoenOI9jN52SUtu/E/wGWmSKPAQAAAACAAABABgAAGAYAAA==eJw10nk4FAgfB/ByvrbHajXVKrPOSs/KEbXFmm8ojBzty5YcYYiNcsyjVZNc7RTelBG5qtEoR6xjRY5qsq5qaFyDIZmDxOaY1rprVvvs+/vn98fv+T7P7/k+n7hC3VhemDxbk5jotTK+HewaCY16SBPiZlJ/mkQTEzozV5hSEn5RZnACiknsMlZlkoLVIXj46HvzP1qCPP+q0V/eHX4qdsRz64/CSTi/rTPOA2TKlDSBE4A0elnZ2aIfMN4adllfnYJjrqeMflM6i0W5bDXbOSrmSEucG+vjsIb1wMVQKQ7/W1nS2uuWgPeBFYQXx1Jhc6K3Scabgde84ufvYtOgtrWOr6GXAXNBHcXmXA66Wr4KluzMRaqm51o6jYWqTzfXrLiwYNFT7UuQK4Bc8cRoZHYJvEwWA3K2VqJ1p1kqJ+YhktS1Q5y2PYI18WjNqE4tLp36mqSd/xim9FfB71Wf4KBDoi5NrQEhQ+0uRGojluXrfQdZTVAyOSN9ad8K53Gfj8zG52jrFM/v/fgCit1GUQcd2rFxjVjNdJYLViex6RWhA8e45Omt3t2oXiCsXnpgGS9qzazvwe3Zp5KqwF7oBPo6m6/04ZrCzCa7I/1Qdm1hc2v6kezFogX7DEJZsCsld2EQLvJ5qWZrh9CStMWhcWYYEboZ0pToYQznY5mhLYS1nLpVerYAkrrohpB+IcbMkh+6vhFB02/K3YokQva2tUFBfBG+Wf3KrEwMkQ7FXrdTDNo/hYhg++OGg0OKYuS8JRa8sxvB7rel20YujeDnLaeKHhNHQLnbazq9bwT/neyWZMaJcVOusOhk8GrehfGF3zox9mr0XU4KF8FIdYBq0CzAp+0EbcF6Icplx67qTQrQaqN5os9QgDyFz0W9Qd7ax/KqhCGQ3vFLljwH/918tOnd9HBX7kO7uVMnw7MHFjuehEZNdiLXdTni+4AOtHkdfq5owcU09avhxOMcJMcww4UHnoNZ3iT7Mr8JB4xsrw8PPoOJsVcCT6MWhfvPM5QWqiBzSJ/S71uCixNu92cdClA5pbGuUysXijtY3h5IRp7nFvaMfTyyDDTuycRHwHWnY9XrOlsoKtfPJwZYod9qz0smgYrssu96gx7G4c/rT8nduZkYtaStUrqDIsPD5nsy8hB5hSCrm10O11/px38aewiVDPVIe8V61M2HvQgveIYUJ69FfW4j/Grv81JqWqF0Zn+G6MFLNFMPF2uFc3EmhWzz6vcOVJh8htj1b5886MdLf/Vv7UWcXPN148g+WPgmKqY5DuJemMUXfXkDGK1xMXOTDkHbObU0K2oY2VmfR4BA3ljQt3MCXCytpsTwhSBaRId2M0UYl1zI+fRehBJRcptOjAik826Fe9rF+IfVshgLapu//MVfjA+W3ADemBgDmjeu3qKL0bKYcyQhdgQjKgp3LqiIYSekEUptR2DzR2FQfKEYPzt/synIcdUH98P3NeYimPadunf/gwjeJ2IvRkwIEfJDwCWH3QLkJpYLx9MFGHZOzghR/b/bN1inqxd9tXYI+nYmmxwDh9C13NJ35/gAbKmLKuOP+Ijeo/ift+/4+OvuugmPt73IXDq/KpAHm7Q5Be/MHpjGPjoQL+rGwD7KLpJ8FyJ3aWnMnu7A6XSf8H1/ciE9V+aeNcNBDpUeWZvAQVvGZh+N2y0Ire/wLGC0IBVfn5uyaILEYLPkdmYD7g8UiI1lG1DkeOv19JHHOG3dvC9mQx1GO5PLCxMeoceX7kFKrQbfetmtIbQSft/+5E45WY6oujq/CscH0PPNn/Q+XoSupFC9qOp8nGDu/8Pl2l1c2RiyaGfPQro/8Vpp122QDaRaH+fSsfKdoVNU1Q08pZ8VDzEYaOZ017LSUrBhJlhX6Xc6stR3PXmfHAtPeeOOKsNYWFeETTJlLuDk7oaNf01FoGcxn7l9PAxhtM3TrZOBIKtYF98w8YfxoVrTaOGPkNLo8vOyBtB7c1OmYoYEr+1uR89fJuO3Z93mtg+M2JY+OyZnNY/g1kJ7uP68OTtmR2NkNW+RROZUuhV/0GUvNXButRTIsbf0lOSpTs49/RuttRp1AQAAAACAAABABgAAHAYAAA==eJwtlHk0FAgcx22HUq5tZZ1dWo9KWdt62mp+s2xF49gOKjnKrCOjFtmYSIYNqSjpDYOMYzCMmaHQYfoZHTQGkxjrnqN2ZYu0jTst+/b/3/u93+fzvt9fPaviuOshf3SPD7bw9DkDo6fzpjldxyCCudvFZNshsFWffM7ZQYGLc1K2y4Q/GvNSaMg+BcUW9Gfb6vyggkiwCWyMhNUaXlowEgah2UtEX+hHgLser6rGMhZUUwl9zAP+wNPVlI5oRcDGDk12QdQlyPINd9QZooFRsF66ePgapJ7NDuWJr8BEeJ7J0uR0UNFe5ToYMiDQl3r99gY69MWzHsTRs0Bt8Y9xmqbZQPBxTEqyvg00XzMnXS4TyCOe9oShfPA3iEwIqmDCmSCRK5QWAluQXEMeLgYkR70NrORA1seJg1ESDtzbSan1DuJC6hqsfdPGhS1jcVWWR/hg5S20VTzngkLM+1NNyAdB2R3PE2mVkCNXj4k1qAQKbbf5QUYl9Mh5z41UfDh1hRJjPsOD0PbtFoxlfBgmSg+V87jwy1+nQ84VlUHxysppM81yYG1xMPlbUQwtaXi31K0ApkeFFLptDlwmqnQ2GKaDX5StqjksCobWNFn390ThAuXO0gw8O7GD4JmTj7TlYa/f5rKRyjE0fLW1CgM3b5vKm61Gll5EtBO5DinauuIXSsSueg8N/aTHGOeIF0ztGpEqJvrPzjThkLWvT9wFMYoOC0uLXCUYxH3pSHr9Ald8GbrcPbgduxJTwubMO3BK4HJx3KwLe/X9bZs2dmN6RMur7NM9yDeusRKF9KH9+kXa+fv78ZzRKXad6SC6vrjhNecgwzGy2JvUJEO7/T65ZKIMhwlqbJccOY609pz+mqHAokNHCM3/KP6/U4Hilfw0V28l6lhkh1+KVOLaB8xH/q5K5DwtUTNoU2BtDinMvVuO6fPbp9/JMCPpkufLOhlW5Y6WPCPJ0fAzQdlAk2FrcvuAbKUMs+3uD+ZbDOD+UWPf6IBeHLfwSmtQSfHz+k/jv8mkaPg0nFS+/gUqWdlP1vElmJA4p7HVQ4w7r909PJBaj8ecQwhcLQEem5YsVVk9RN1KYYMTowTtxt/ed3YpgJf6XZPO47UQMSwKpK6pg+1xtcR4RTPcjtahm0SKwKR1NngeDexvMXZLVnSAXrNVReKTTgjRmGIG3vkD2MLtmmu/7IX/tL/rg+Rcywgf8iB0tmWnHDaQgeXQePqzIDlIdMx+32csh6N/GVwXDMihJ03vxsnVSvh9VUDP3C0FwILWPjkMa5B2MUOUcPPIwqAcLJt1Gx/cU8Cf1NBI6RkF7Oqx87MiKCA0o+6Hxjg5EIVPU4yc5ZCyy+lBwAcZVLs1ktU3yYDF7CUZFfYDldidsbmuHwISnG3C9fsg5ifnyxvPd4NgRikI9v8DHi3EYo8UVDkfH41Vd8Lx+bZ1c9ohVf29vuPP7eA3mZy5ykkCby4oKW1bWoC8R6v45GQTXJUe6FxyoBHmQ/kdMh7/z4dQbSOnT1MfgoO7MysvtAaWrai76TbfMxuemXY3sQxaYNrcJaEAyJlf3X0uvwlR1oKjZ3up8A3HZpKpeR5DfXImg/fdwNeSDb1TsQz8OAeumdYFSIkvnVErKkZTj3uvzSzZ+LN7Pu2obTlOnCOF13O5yHJaMM3FZlVN1ooxPj5afVkjeJKL8o5l6ZHalSiRCoUDT/goNVmXWdjIw8S1OW6m5XyceQOU2NkK9NN5R16KFfjtT66+bV0crL7aEb2ppAK//7HjgtrBctSaLU38dLsUmxwG+0WrWLh1yQ6Lk8UstD/eyrpXVoTHo/PK7BfnI5SLM6SDBTh6NuauHZmJ7H7eopjaLPzu8d5jmJWJLKQ3JATQUUf6eYeYTkdG5tYnw2nX0fhDm6Zi8RUU17yUJp+4inoZBbeiaZcxnlPi4et9CVssawtH7sejwG6sM1URg5nn1uWbPDyPtVVvKsw//ooB7wUyt18ccZGkpTBprxfmhfzqRckIxpH60Vvb1hyGha8aaxSJf499q/0qLQiEy8fuHCFaYbJI0sArOAHyVg3RohMkUKcqBvJbPOBfNYRNtA==AQAAAACAAABABgAALwYAAA==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AQAAAACAAABABgAANwYAAA==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AQAAAACAAABABgAA6AMAAA==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AQAAAACAAABABgAAFQAAAA==eJxjYBgFo2AUjIJRMApIBwAGQAABAQAAAACAAABABgAAFQAAAA==eJxjYBgFo2AUjIJRMApIBwAGQAABAQAAAACAAADAEgAA0gMAAA==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AQAAAACAAABABgAAXwEAAA==eJwtxVFEHAAAANBKkpzkJEmSJMlJkiRJkiRJkiQnSXKSJEmSJEmSJEmSZGYmmUmSJEmSJEkyMzOTzCRJkmT20Xs/LybqXazjHO8EB5zoJAed7BSnOs3pznCms5ztHOc6zyHnu8CFLnKxS1zqMpe7wpWucrVrXOs617vBjW5ys1vc6rDb3O4Od7rLEXe7x73uc78HPOghD3vEox7zuCc86SlPe8aznvO8F7zoJS97xate8wd/9Cd/9ro3/MVfvektb3vHu97zvg986CMf+8SnPvO5L3zpK1/7m7/7h3/6l3/7xrf+47++870f/OgnP/vFr37zP0dFvxfjWMc53gkOONFJDjrZKU51mtOd4UxnOds5znWeQ853gQtd5GKXuNRlLneFK13late41nWud4Mb3eRmt7jVYbe53R3udJcj7naPe93nfg940EMe9ohHPeZxT3jSU572jGc95/9sSVRSAQAAAACAAADIAAAADAAAAA==eJxjZh4eAADsVAJZ
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38
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AQAAAACAAADASwAAlQ8AAA==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AgAAAACAAACAOwAABRMAABMJAAA=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CylinderKnMa/Kn0p38/simulation0840_Kn0p38Ma5p9/Lambda/Lambda_2_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="606" NumberOfCells="500" >
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+ <PointData>
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+ <CellData>
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+ <DataArray type="Float64" Name="xc" format="appended" RangeMin="-4.9522" RangeMax="4.5174" offset="948" />
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+ <DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.37406" RangeMax="0.38499" offset="5516" />
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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="11264" />
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+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="14968" />
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+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="15944" />
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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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_AQAAAACAAACgDwAAtQIAAA==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AQAAAACAAACgDwAATwAAAA==eJy7vOexiKynkMPlUXqUHqUxaM6fC9I3rxqlR+lRGhut7FXdrM8jPEqP0qM0Ftp2duj81bmj9Cg9SmOji68LfXI8P0qP0qM0NhoAXjcwVw==AQAAAACAAACgDwAA3AkAAA==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AQAAAACAAACgDwAAzAkAAA==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AQAAAACAAACgDwAAyAIAAA==eJwtxRG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+ </AppendedData>
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+ </VTKFile>
CylinderKnMa/Kn0p38/simulation0840_Kn0p38Ma5p9/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/Kn0p38/simulation0840_Kn0p38Ma5p9/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 0.38
13
+ variable Ma equal 5.9
14
+ variable To equal 273.0
15
+ variable Tb equal 273.0
16
+ variable theta equal 0.0
17
+ variable mfp equal ${Kn}*${L}
18
+ variable cpmfp equal 4
19
+ variable nden equal 1.0/sqrt(2.0)/${PI}/${molecular_diameter}/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
20
+ variable sos equal sqrt(${gamma}*${R}*${To})
21
+ variable vo equal ${Ma}*${sos}
22
+ variable vx equal ${vo}*cos(${theta}*2*PI/360)
23
+ variable vy equal ${vo}*sin(${theta}*2*PI/360)
24
+ variable ppc equal 30
25
+ variable xncells equal (${xmax}-${xmin})/${mfp}*${cpmfp}
26
+ variable yncells equal (${ymax}-${ymin})/${mfp}*${cpmfp}
27
+ variable Fnum equal ${nden}*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
28
+ variable tstep equal (-${xmin}+${xmax})/${vx}/${xncells}/10/4
29
+ variable nave equal 10000
30
+ variable noutput equal 300000
31
+ clear
32
+ shell mkdir output
33
+ shell mkdir grid
34
+ shell mkdir surf
35
+ seed 7
36
+ dimension 2
37
+ global nrho ${nden}
38
+ global fnum ${Fnum}
39
+ timestep ${tstep}
40
+ global gridcut 1.0 particle/reorder 100 comm/sort yes
41
+ region 1 cylinder z 0.0 0.0 3.50 -0.5 0.5
42
+ region 2 cylinder z 0.0 0.0 2.00 -0.5 0.5
43
+ region 3 cylinder z 0.0 0.0 0.80 -0.5 0.5
44
+ boundary o o p
45
+ create_box ${xmin} ${xmax} ${ymin} ${ymax} -0.5 0.5
46
+ create_grid ${xncells} ${yncells} 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
47
+ balance_grid rcb cell
48
+ species gas.species Ar
49
+ mixture air Ar frac 1.0
50
+ mixture air Ar vstream ${vx} ${vy} 0.0 temp ${To}
51
+ collide vss air gas.vhs
52
+ collide_modify vremax 100 yes remain no nearcp yes 10
53
+ read_surf cylinder.surf
54
+ surf_collide 1 diffuse 273.0 1.0
55
+ surf_modify all collide 1
56
+ fix in emit/face air xlo ylo yhi
57
+ balance_grid rcb cell
58
+ create_particles air n 0
59
+ stats 10000
60
+ stats_style step cpu np nattempt ncoll nscoll npave nscollave
61
+ run 200000
62
+ compute 1 grid all air n nrho massrho u v w
63
+ compute 2 grid all air trot
64
+ compute 3 tvib/grid all air
65
+ compute 4 thermal/grid all air press temp
66
+ fix 1 ave/grid all 1 ${nave} ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
67
+ dump 1 grid all ${noutput} output/grid.*.dat id xc yc f_1[*]
68
+ dump_modify 1 format float %12.5g
69
+ compute 5 surf all air n press px py shx shy fx fy etot erot evib
70
+ fix 2 ave/surf all 1 ${nave} ${nave} c_5[*] ave running
71
+ dump 2 surf all ${noutput} output/surf.*.dat id v1x v1y v2x v2y f_2[*]
72
+ dump_modify 2 format float %12.5g
73
+ compute 6 lambda/grid f_1[2] f_1[8] Ar kx
74
+ dump 3 grid all ${noutput} output/lambdakn.*.dat id xc yc c_6[*]
75
+ dump_modify 3 format float %12.5g
76
+ run 100000
77
+ write_grid grid/final-grid.dat
78
+ write_surf surf/geom.surf
CylinderKnMa/Kn0p38/simulation0840_Kn0p38Ma5p9/cylinder.surf ADDED
@@ -0,0 +1,410 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ surf file from Pointwise
2
+
3
+ 200 points
4
+ 200 lines
5
+
6
+ Points
7
+
8
+ 1 0.5 0.0
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_AQAAAACAAACgDwAAtQIAAA==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AQAAAACAAACgDwAATwAAAA==eJy7vOexiKynkMPlUXqUHqUxaM6fC9I3rxqlR+lRGhut7FXdrM8jPEqP0qM0Ftp2duj81bmj9Cg9SmOji68LfXI8P0qP0qM0NhoAXjcwVw==AQAAAACAAACgDwAAjAYAAA==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AQAAAACAAACgDwAASQoAAA==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AQAAAACAAACgDwAATwkAAA==eJxlV3k8lVsXNlSHMiQ0UNGoK2mggT6b6up8XSmllG5JQoV8UoorNFAXlZLiFuqi+oXELWkgab8pSocMCSnnmM5JR8UxhNz1x7fa/e79a//2++537TU863nWKwvSS2tppsRy37QZ8UJKTj9yM3aDddTthLC5rZQIjsR7qYopWfbruSpTKSVGgWvCBj9RIgy1UbKRUVJnrBGy4DMloy+qmhZ3UOI0eUWVQjclS9qK++7C+6giK4NhA5Sc0wvM1JHnyOEMefNt/ZTMcSkwiYN14q6Pp/uGc0T1nehZjQZHVo9savg2kiNT8w10RqpzZMBmkDfuGyXq1uWp2e2UhCzY7P4z+NPrGuV46Asl4XuHJX7uoaRovkXdH4OUOF+QXtcDexZqC5YXDOFIgc8if2VF7vv94z/z8+rBv9W84eItXZTUJ9Q6/gX25A1j8kaC/aCnZyKfQXze6WsTp8D6ZFXJLPlOSm5z1O39V0ri/bLNZg/lvvt9NjOzMlGJIz27PdZOUuVIs+eDOyI5jnhZ/E6v/ZAH5fa4SX9+oCS/JzqlDe45OuGF1luw++lShKwd3msaLXNc1cf86pZxwUPgPvpOwT6sj+Ub81xtd7CIyLF4fM8+Xpnbx/JgumKucA74lT74UN4O8hcg7q8shedXr4f6Lwa70jmPdPZBXWYk5Ap4YAfj+jJmTpGKMkeMQo2CL4/gSL68d8JJiNNnas8eK8jj5lvBfcfAnmWQ3CSLAWbPNs5STQh7nSNBQhe4x2HLz76+8DzH5JTVZvA3wzu87jnEJVlh51ULeIm5Vlk38BHiqzLY1PieEkPF9CzhW/g+IElc0EjJ2OHVasvbWD0QV20FMsseqCvGi/6gfzY/+Zm4QxwuyvdCLyowfzHfiY0hWmng59l7kS8tp3BkQmhwYP0mjqSRXMGduxwpvLXQf8e+J+QYNS2cFllIfHQnBFxqZfhAvxH3z1N4Odo9rG4bX6jZSgGXg/eLhDFdDPdYB8QF7rFeGnn+wa/A3w2VYusowJFk7Uy3gyocCTu3p7WXxxHjjq6N4yHuyA9pe9Tg+cK7fbnpP9QfcY4r4irzrX0Ov53hL96rxuqUhBLVKqVSs25WF3w+fdqYfgnk3Ub/gvkTCfsecYz+Hh/yH+oH93ce+5r8O8SHvIBrh9r6Uk8p69udDmO11cFuVXWVbBLk79bKidG0hfENvk89Ps7YBPwM95h5xa4e6v/wTrRBFSVJ98zK5CsAT4a3+A+qKVl8MjtA8TUl41u9OAvATeDqtpw0WFVLZr2Oq6Nk7e7e4kVwvrUsNe4h2BlYOlXdXwT1r03RHQ7rXMdm8+4G5i/moXyXiu5VwImhyvHUoz1sf2DPBoXb4N98KwdxFPj/NC9WKQj2+oI636pW5jc+R9xj/acbf+mM5DH+m1cWqaYlY+/jTllHnu+l5IHON2kn4GLn1g7VzGEcUV+VkewA/Yf9hbh39T+6dQysE51HxW0C/6UGTZPKhSwPI5y294+HPnKv913yBfKVd+hjqaDu3/k4ueaivRj4z0/hpMEiiPOv9b0RroDDZa4+gkrgD9/4BOstozkyLsakIsWUI8f0Sm5stONIbr4kcUEsR54W+spPhLhKxt+ImAd84bV8e+5/R3Fkvbuep6Y2R2Jj9UMXanHEUNsleaomR/g274O8Yb9EdqXTEXg+Lzr5sQacr1vYduA1fF/ZkCV9DPbGaN7itUD89tKA2C7ID/KNe4ut+dkOxv9Jj7WKk6QMV1cvXw+58I6SdU2JietbGO7/qRdYX+SFCwPq7qPg/YyYhir3Jkqsi7dmZYIuYv/jvZgn5KW2uzr8DRLGYxc6TXfvAVx65vK6xUWUVGxw+Mk1nxKL/pB1IQLAS6H8b/NfwvmSlduWFVIyu8FqRw3sO4b+9rq4nBK7b8afcmuhz4xcRD2NrE5Yz02L3xh4fGD8gX14ctP+lRHAD8jnyP/61TmeB4APkJdRRzAfzmc0s4LbGf96md4oHvaW9VtM4lfRZvArq8L/4VXY19zxTBtXz+I1lug6B4qZXjZ2aIsKoQ4FO7aE7Gxl/eLxRNge0cj6HuNBXD7QmNJlD/tIYan/7s+sL5E/kGcv2//SPr2L8TCeR97FOqJeLD5/2jcF3mN+wg82nI/WZPjMOOBa6aXB8Bn1Slf/2hiOzKtx52XD/IF9iH2KOoPzBfYjrqmnO6dXgP4cnX1kmJ4h9x03C2/qcyMAT2YTPyQer2c8pTVlp/MNyKMw0Ec9tYaS7AetXpbvWZ9i/46VH9C+UkbJq8/u/HDgrecXjR7ugzpFz56j3ADfVTjPnTwUVqdx3m+3gd24MI9oGXyf3iVSuiliuMH6oA5j3janJis0i1h9kMcw/3gOcfTP+QXtIe/h3OKdPSuWA/66XZLodFib8YPTzKmCZA3W98o9e3WWQp4zm40zW5XZHIg6h/MR8iDiAO9FvcH8YH73RrTY6zaw9fCV6UseNTBcvxzeHfepEuay9pw0m0o2ByMvoi5hXyGPI49hHCvup26UqDAexL7DOUQxyezMLAWGp3LfFk3+D/hC3V98ydPTWoXZQ9yizuNchHqEcWHfYl/inIzzJtYJ51OsjyDygFuGItMl1H20j32H/Xa8z7m4oonxRor5/YR86IvG/k+1O5TYHMlfOjSspJfNoQPrauTuj4X5bJ6dEU8feF5yomX7ZOD/8GdFPt1MD3FuQn7FeXAyuWa79gfcu8jVR35tYXq+Zn8FfQP1txj6q62+hL2X/f//xjbKVXuJiNlBu+dHX84JaGb9iXqC/YJzLM5ByMtoB3EUv32Q/1HA8IQ87tebZRz7Buys2xVQBrrUV+5o2i9h82Szy/u8pXBvNf/P0oQmNs8gD6CuoV9Yf8Q7/p9gfyDf4TnkH96hl8undbA5DuPD8+jPmUUjFI7I2HyPOoM4wfm5tSbszNZelhfEHc5rT2/nqteVsXWW7/4TTvD8pluGyLCO4YhvZnjC6B3TB4xbYuW31xx0dDBLKu6oZbqD8x/aQd3A/1Ocy1H3Ue8wvsu//K8rrJbp81y7EUsdngJvjjzb+KiAEvEzwaUJHCUR2+zSb1Ko8/wX67JAp+tj5LZpCJiOj0p7fOJ0CeDmqvVzj+eUmDzL1N5bw+YwxT+c4k60MD5G/cRz95I26lZ/+Pd/EPIv8u3ffCs/9A==AQAAAACAAACgDwAAuQIAAA==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AQAAAACAAACgDwAAvg0AAA==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AQAAAACAAACgDwAAvA0AAA==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AQAAAACAAACgDwAABgUAAA==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AQAAAACAAACgDwAAGwAAAA==eJztwTEBAAAAwqD1T20MH6AAAACAtwEPoAABAQAAAACAAACgDwAAGwAAAA==eJztwTEBAAAAwqD1T20MH6AAAACAtwEPoAABAQAAAACAAABoHAAA5wYAAA==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+ _AQAAAACAAABYAgAAiQAAAA==eJwtx9s1AwEAANHpwzuVaCIIitkKEKIHBOki+hDx6AJn7/zcM1XDw/q4/x5HB/bk2dKzZ89ePHv1bOXZu2cbzz4823r26dmXZ9+e/fidt/F3Rwe259m+ZweeHXp25NnEs6lnJ56denbm2cyzc88uPLv0V/7asxvP5p7denbn2cKze//nL3yyhvI=AQAAAACAAABYAgAAiAAAAA==eJw7eGqh67ZiIYeMza+Kt14Vcvi0ISB7lrmww6yZICDs4Nj06PiM38IOZ+o99tfGijgUZ0x8W7NfxOFf6vcniYqiDkv9HIQTm0UdDHyWcbk9FXW4bvLewtVdzCHRKNRAa6WYA6f0vDhNbnGHyRIsYXy54g7WjL4tvOfFHQ6O2jus7QUAd63urQ==AQAAAACAAABYAgAANgAAAA==eJy7vOexiKynkMNlOtOcPxekb15Ff1rZq7pZn0eY7rTt7ND5q3PpTxdfF/rkeJ7+NADFJe2aAQAAAACAAABYAgAABAIAAA==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AQAAAACAAABYAgAAYwIAAA==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AQAAAACAAABYAgAAAgEAAA==eJxdka9rQlEUx9/y8sAwFgxrJosY5EbRIgiCsmQQES0LKgaLYnpBbPcHDlwQTGIR/BOGhsVFYUGLxajB9975DGGnfPiee875nnuv5wXRsCoZxtGoWhhVeNLK6CA+tQrLvC5saqlvod/RHa122yCGWvoNegYX1G+Y++ik79tKvm2l7mqEXSN1D3BNv8+8PuzdGc0b4D8h78jP0TknTDmZ94z+xd+HMfYaG+ELe23Z/4N5Pn5/9x7985+yd4X7FvHLwjR7xDk/W94dJqzMW/IvGfY54LOBs/u7R30W/YZPwChfxq/k5LzAuUK/UnfBd8UeefiDf51/eYJ7/L60ugEWgw2AAQAAAACAAABYAgAAuwEAAA==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AQAAAACAAABYAgAAYwIAAA==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AQAAAACAAABYAgAAYwIAAA==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AQAAAACAAABYAgAAaAEAAA==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eJxjYBgFo4D6AAACWAABAQAAAACAAABYAgAADwAAAA==eJxjYBgFo4D6AAACWAABAQAAAACAAACABAAAJQEAAA==eJw9zj1KwnEAh/Efzs3ewLGxMTCkGwReoE1q8QThBcLojeKPiiAkgiQEQUMvB5CWCFrcXBoCL5DP8Hyf6TM+rXq/ufNx3izbvhuX8cneTVw7vIuvj6p493gYv3fHcbs3iX/7D/HZaBbXH+fx9G0RH3w+xV+r57jz9xKX8hq3tv/7y4v8a/41/5p/zb/mX/Ov+df8a/41/5p/zb/mX/Ov+T/9ucq/5l/zr/nX/Gv+Nf+af82/5l/zr/nX/Gv+Nf+a/2p9m3/Nv+Zf86/51/xr/jX/mn/Nv+Zf86/51/xr/jX/y819/jX/mn/Nv+Zf86/51/xr/jX/mn/Nv+Zf86/51/yXMsi/5l/zr/nX/Gv+Nf+af82/5l/zr/nX/Gv+Nf/6H0+7Z2I=AQAAAACAAABgCQAAhgEAAA==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eJwtxRF0QgEAAMD2XhAEQfAhCIIgCIJgEARBEATBIAiCIAiCIBgEQRAEQRAEQRAMgiAYBEEQBINBEARBEATdyYVDbxFHHXPcgRNOOuW0M84657w/XXDRJZddcdU1f7nuhptuue2Ou+65728PPPTIY0889cxzL7z0ymv/eOOtd/713gcfffLZf/73xVfffPfDT4c+3oUdcdQxxx044aRTTjvjF05rIJU=AQAAAACAAABLAAAADAAAAA==eJzj5KQaAABkfQKk
34
+ </AppendedData>
35
+ </VTKFile>
CylinderKnMa/Kn0p38/simulation0840_Kn0p38Ma5p9/grid/final-grid.dat ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p38/simulation0840_Kn0p38Ma5p9/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 0.38
17
+ variable Ma equal 5.9
18
+ variable To equal 273.0
19
+ variable Tb equal 273.0
20
+ variable theta equal 0.0
21
+ variable mfp equal ${Kn}*${L}
22
+ variable mfp equal 0.38*${L}
23
+ variable mfp equal 0.38*1
24
+ variable cpmfp equal 4
25
+ variable nden equal 1.0/sqrt(2.0)/${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}*${Kn})
29
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.38/${cpmfp}*${Kn})
30
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.38/4*${Kn})
31
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.38/4*0.38)
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 5.9*${sos}
38
+ variable vo equal 5.9*307.815564238681
39
+ variable vx equal ${vo}*cos(${theta}*2*PI/360)
40
+ variable vx equal 1816.11182900822*cos(${theta}*2*PI/360)
41
+ variable vx equal 1816.11182900822*cos(0*2*PI/360)
42
+ variable vy equal ${vo}*sin(${theta}*2*PI/360)
43
+ variable vy equal 1816.11182900822*sin(${theta}*2*PI/360)
44
+ variable vy equal 1816.11182900822*sin(0*2*PI/360)
45
+ variable ppc equal 30
46
+ variable xncells equal (${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)/0.38*${cpmfp}
50
+ variable xncells equal (6--5)/0.38*4
51
+ variable yncells equal (${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)/0.38*${cpmfp}
55
+ variable yncells equal (5--5)/0.38*4
56
+ variable Fnum equal ${nden}*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
57
+ variable Fnum equal 3.58555028535087e+19*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
58
+ variable Fnum equal 3.58555028535087e+19*(6-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
59
+ variable Fnum equal 3.58555028535087e+19*(6--5)*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
60
+ variable Fnum equal 3.58555028535087e+19*(6--5)*(5-${ymin})/${ppc}/${xncells}/${yncells}
61
+ variable Fnum equal 3.58555028535087e+19*(6--5)*(5--5)/${ppc}/${xncells}/${yncells}
62
+ variable Fnum equal 3.58555028535087e+19*(6--5)*(5--5)/30/${xncells}/${yncells}
63
+ variable Fnum equal 3.58555028535087e+19*(6--5)*(5--5)/30/115.789473684211/${yncells}
64
+ variable Fnum equal 3.58555028535087e+19*(6--5)*(5--5)/30/115.789473684211/105.263157894737
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}/${xncells}/10/4
68
+ variable tstep equal (--5+6)/1816.11182900822/${xncells}/10/4
69
+ variable tstep equal (--5+6)/1816.11182900822/115.789473684211/10/4
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 3.58555028535087e+19
81
+ global fnum ${Fnum}
82
+ global fnum 1.07865304417638e+16
83
+ timestep ${tstep}
84
+ timestep 1.30773885289706e-06
85
+ global gridcut 1.0 particle/reorder 100 comm/sort yes
86
+ region 1 cylinder z 0.0 0.0 3.50 -0.5 0.5
87
+ region 2 cylinder z 0.0 0.0 2.00 -0.5 0.5
88
+ region 3 cylinder z 0.0 0.0 0.80 -0.5 0.5
89
+ boundary o o p
90
+ create_box ${xmin} ${xmax} ${ymin} ${ymax} -0.5 0.5
91
+ create_box -5 ${xmax} ${ymin} ${ymax} -0.5 0.5
92
+ create_box -5 6 ${ymin} ${ymax} -0.5 0.5
93
+ create_box -5 6 -5 ${ymax} -0.5 0.5
94
+ create_box -5 6 -5 5 -0.5 0.5
95
+ Created orthogonal box = (-5 -5 -0.5) to (6 5 0.5)
96
+ create_grid ${xncells} ${yncells} 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
97
+ create_grid 115.789473684211 ${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 115.789473684211 105.263157894737 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 53265 child grid cells
100
+ CPU time = 0.0886094 secs
101
+ create/ghost percent = 1.29242 98.7076
102
+ balance_grid rcb cell
103
+ Balance grid migrated 53160 cells
104
+ CPU time = 0.0853582 secs
105
+ reassign/sort/migrate/ghost percent = 66.1888 0.0362473 9.22623 24.5487
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 1816.11182900822 ${vy} 0.0 temp ${To}
110
+ mixture air Ar vstream 1816.11182900822 0 0.0 temp ${To}
111
+ mixture air Ar vstream 1816.11182900822 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
+ 336 0 = cells overlapping surfs, overlap cells with unmarked corner pts
121
+ 47589 5340 336 = cells outside/inside/overlapping surfs
122
+ 336 = surf cells with 1,2,etc splits
123
+ 109.215 109.215 = cell-wise and global flow volume
124
+ CPU time = 0.0939214 secs
125
+ read/check/sort/surf2grid/ghost/inout/particle percent = 25.4577 25.2149 2.97192 25.3827 20.9728 6.42041 0.175283
126
+ surf2grid time = 0.0238398 secs
127
+ map/comm1/comm2/comm3/comm4/split percent = 14.4541 24.4168 3.96656 2.36442 11.8076 7.08267
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 988 cells
133
+ CPU time = 0.0303041 secs
134
+ reassign/sort/migrate/ghost percent = 10.0834 0.0944393 29.5925 60.2296
135
+ create_particles air n 0
136
+ WARNING: Created unexpected # of particles: 363039 versus 363040 (../create_particles.cpp:346)
137
+ Created 363039 particles
138
+ CPU time = 0.0126771 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) = 1.6084 0 1.6875
144
+ grid (ave,min,max) = 2.88342 1.51379 4.32629
145
+ surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
146
+ total (ave,min,max) = 4.51242 3.22189 6.03439
147
+ Step CPU Np Natt Ncoll Nscoll Npave Nscollave
148
+ 0 0 363039 0 0 0 0 0
149
+ 10000 10.174333 405883 4682 4097 21 385058.82 15.0707
150
+ 20000 20.803735 406558 4708 4139 11 395955.24 15.2514
151
+ 30000 33.377403 407171 4776 4173 16 399598.48 15.2952
152
+ 40000 44.5253 407745 4904 4335 16 401607.36 15.35035
153
+ 50000 56.152796 407486 4861 4303 14 402774.28 15.37992
154
+ 60000 67.742917 407543 4834 4276 17 403501.11 15.39395
155
+ 70000 78.972343 407348 4784 4218 20 403965.98 15.397986
156
+ 80000 90.31087 408519 4826 4223 15 404419.54 15.403787
157
+ 90000 101.25135 407482 4847 4290 15 404738.06 15.411767
158
+ 100000 111.92511 407128 4750 4160 13 405000.04 15.41744
159
+ 110000 124.14583 407335 4822 4261 21 405233.39 15.424982
160
+ 120000 135.68283 406815 4695 4149 18 405390.34 15.424642
161
+ 130000 147.02611 406697 4713 4111 12 405533.71 15.4218
162
+ 140000 157.80228 407472 4777 4246 20 405630.99 15.424536
163
+ 150000 168.48934 406946 4815 4288 17 405758.28 15.424453
164
+ 160000 180.55177 406790 4685 4130 12 405847.53 15.426937
165
+ 170000 191.94504 407121 4857 4260 22 405930.25 15.429182
166
+ 180000 203.3561 407026 4770 4201 13 406001.13 15.431311
167
+ 190000 214.20912 406838 4772 4228 13 406047.89 15.428537
168
+ 200000 225.14339 407355 4706 4160 7 406093.33 15.42964
169
+ Loop time of 225.144 on 128 procs for 200000 steps with 407355 particles
170
+
171
+ MPI task timing breakdown:
172
+ Section | min time | avg time | max time |%varavg| %total
173
+ ---------------------------------------------------------------
174
+ Move | 0.023684 | 9.7764 | 63.411 | 406.3 | 4.34
175
+ Coll | 0.27599 | 7.6308 | 62.705 | 372.5 | 3.39
176
+ Sort | 0.093888 | 1.6489 | 11.328 | 171.9 | 0.73
177
+ Comm | 55.524 | 88.23 | 98.632 | 93.3 | 39.19
178
+ Modify | 0.019155 | 0.10705 | 2.0592 | 92.7 | 0.05
179
+ Output | 0.0095 | 0.014816 | 0.02113 | 2.5 | 0.01
180
+ Other | | 117.7 | | | 52.29
181
+
182
+ Particle moves = 81218666370 (81.2B)
183
+ Cells touched = 84813115530 (84.8B)
184
+ Particle comms = 184698669 (185M)
185
+ Boundary collides = 0 (0K)
186
+ Boundary exits = 17563601 (17.6M)
187
+ SurfColl checks = 203282859 (203M)
188
+ SurfColl occurs = 3085928 (3.09M)
189
+ Surf reactions = 0 (0K)
190
+ Collide attempts = 1119568982 (1.12B)
191
+ Collide occurs = 881432485 (881M)
192
+ Reactions = 0 (0K)
193
+ Particles stuck = 0
194
+ Axisymm bad moves = 0
195
+
196
+ Particle-moves/CPUsec/proc: 2.81829e+06
197
+ Particle-moves/step: 406093
198
+ Cell-touches/particle/step: 1.04426
199
+ Particle comm iterations/step: 1
200
+ Particle fraction communicated: 0.00227409
201
+ Particle fraction colliding with boundary: 0
202
+ Particle fraction exiting boundary: 0.000216251
203
+ Surface-checks/particle/step: 0.00250291
204
+ Surface-collisions/particle/step: 3.79953e-05
205
+ Surf-reactions/particle/step: 0
206
+ Collision-attempts/particle/step: 0.0137846
207
+ Collisions/particle/step: 0.0108526
208
+ Reactions/particle/step: 0
209
+
210
+ Particles: 3182.46 ave 22164 max 0 min
211
+ Histogram: 84 16 6 10 2 6 0 2 0 2
212
+ Cells: 416.133 ave 417 max 415 min
213
+ Histogram: 1 0 0 0 0 109 0 0 0 18
214
+ GhostCell: 10796.4 ave 19812 max 593 min
215
+ Histogram: 21 9 14 8 17 3 6 4 16 30
216
+ EmptyCell: 74.8203 ave 218 max 0 min
217
+ Histogram: 40 1 16 7 26 15 8 11 2 2
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) = 1.66113 0 3.375
246
+ grid (ave,min,max) = 2.88342 1.51379 4.32629
247
+ surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
248
+ total (ave,min,max) = 4.70511 3.36171 6.17471
249
+ Step CPU Np Natt Ncoll Nscoll Npave Nscollave
250
+ 200000 0 407355 4706 4160 0 0 0
251
+ 210000 20.969576 407472 4711 4138 13 407284.59 15.4846
252
+ 220000 42.127417 406773 4800 4242 13 407253.87 15.47305
253
+ 230000 61.928912 407090 4840 4270 15 407229.24 15.4642
254
+ 240000 83.162229 406677 4806 4296 11 407209.23 15.463575
255
+ 250000 103.83261 407400 4779 4242 21 407154.8 15.45882
256
+ 260000 123.78711 406957 4735 4204 13 407189.38 15.46665
257
+ 270000 145.1497 407065 4726 4163 13 407219.67 15.469043
258
+ 280000 165.84136 407428 4848 4288 18 407255.6 15.468412
259
+ 290000 185.63125 406992 4742 4179 16 407236.98 15.466844
260
+ 300000 206.44739 407251 4701 4132 18 407220.32 15.46621
261
+ Loop time of 206.448 on 128 procs for 100000 steps with 407251 particles
262
+
263
+ MPI task timing breakdown:
264
+ Section | min time | avg time | max time |%varavg| %total
265
+ ---------------------------------------------------------------
266
+ Move | 0.012335 | 4.9466 | 32.192 | 288.5 | 2.40
267
+ Coll | 0.13683 | 3.8557 | 32.424 | 267.4 | 1.87
268
+ Sort | 0.052509 | 0.83329 | 5.6707 | 120.6 | 0.40
269
+ Comm | 32.321 | 48.602 | 54.332 | 63.6 | 23.54
270
+ Modify | 1.9219 | 13.693 | 84.101 | 446.3 | 6.63
271
+ Output | 0.033359 | 0.034843 | 0.038235 | 0.6 | 0.02
272
+ Other | | 134.5 | | | 65.14
273
+
274
+ Particle moves = 40722031841 (40.7B)
275
+ Cells touched = 42523170132 (42.5B)
276
+ Particle comms = 92529311 (92.5M)
277
+ Boundary collides = 0 (0K)
278
+ Boundary exits = 8802428 (8.8M)
279
+ SurfColl checks = 101901464 (102M)
280
+ SurfColl occurs = 1546621 (1.55M)
281
+ Surf reactions = 0 (0K)
282
+ Collide attempts = 564160772 (564M)
283
+ Collide occurs = 444121806 (444M)
284
+ Reactions = 0 (0K)
285
+ Particles stuck = 0
286
+ Axisymm bad moves = 0
287
+
288
+ Particle-moves/CPUsec/proc: 1.54102e+06
289
+ Particle-moves/step: 407220
290
+ Cell-touches/particle/step: 1.04423
291
+ Particle comm iterations/step: 1
292
+ Particle fraction communicated: 0.00227222
293
+ Particle fraction colliding with boundary: 0
294
+ Particle fraction exiting boundary: 0.000216159
295
+ Surface-checks/particle/step: 0.00250237
296
+ Surface-collisions/particle/step: 3.798e-05
297
+ Surf-reactions/particle/step: 0
298
+ Collision-attempts/particle/step: 0.0138539
299
+ Collisions/particle/step: 0.0109062
300
+ Reactions/particle/step: 0
301
+
302
+ Particles: 3181.65 ave 22312 max 0 min
303
+ Histogram: 85 15 5 11 2 6 0 2 0 2
304
+ Cells: 416.133 ave 417 max 415 min
305
+ Histogram: 1 0 0 0 0 109 0 0 0 18
306
+ GhostCell: 10796.4 ave 19812 max 593 min
307
+ Histogram: 21 9 14 8 17 3 6 4 16 30
308
+ EmptyCell: 74.8203 ave 218 max 0 min
309
+ Histogram: 40 1 16 7 26 15 8 11 2 2
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 = 53265
316
+ CPU time = 0.00754826 secs
317
+ write_surf surf/geom.surf
318
+ surf elements = 200
319
+ CPU time = 0.00271872 secs
CylinderKnMa/Kn0p38/simulation0840_Kn0p38Ma5p9/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/Kn0p38/simulation0840_Kn0p38Ma5p9/output/grid.300000.dat ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p38/simulation0840_Kn0p38Ma5p9/output/lambdakn.300000.dat ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p38/simulation0840_Kn0p38Ma5p9/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 0.00185 0.046883 -0.046877 0.00073641 -3.0175e-05 -0.0019209 -0.00073679 -1.8605e-05 11.333 0 0
11
+ 129 -0.31871 0.38526 -0.30645 0.39508 0.12617 3.599 2.2503 -2.8088 0.64407 0.516 0.045462 -0.036013 1193.2 0 0
12
+ 2 0.49975 -0.015705 0.49901 -0.031395 0.00155 0.039475 -0.039431 0.0018595 -8.4948e-05 -0.0018013 -0.0006207 9.1448e-07 9.2779 0 0
13
+ 130 -0.30645 0.39508 -0.29389 0.40451 0.11736 3.3454 2.0086 -2.6752 0.62102 0.46628 0.041305 -0.034697 1113.9 0 0
14
+ 3 0.49901 -0.031395 0.49778 -0.047054 0.00156 0.039919 -0.039796 0.003132 0.0001257 0.0015972 -0.00062312 7.4283e-05 11.772 0 0
15
+ 131 -0.29389 0.40451 -0.28104 0.41354 0.11137 3.1744 1.8253 -2.5971 0.62308 0.43791 0.038457 -0.033916 1061.6 0 0
16
+ 4 0.49778 -0.047054 0.49606 -0.062667 0.00168 0.041216 -0.040967 0.0045228 0.00014718 0.0013331 -0.00064118 9.1981e-05 11.688 0 0
17
+ 132 -0.28104 0.41354 -0.26791 0.42216 0.10753 3.0344 1.666 -2.5362 0.66897 0.43943 0.036676 -0.032934 1047.7 0 0
18
+ 5 0.49606 -0.062667 0.49384 -0.078217 0.00158 0.041929 -0.04151 0.0059078 0.00017876 0.001256 -0.00064921 0.00011252 10.743 0 0
19
+ 133 -0.26791 0.42216 -0.25452 0.43037 0.10037 2.8773 1.5034 -2.4533 0.63659 0.3901 0.033613 -0.032407 997.99 0 0
20
+ 6 0.49384 -0.078217 0.49114 -0.093691 0.00165 0.040532 -0.039929 0.0069687 0.0010916 0.0062548 -0.00061003 0.0002077 11.581 0 0
21
+ 134 -0.25452 0.43037 -0.24088 0.43815 0.09476 2.7019 1.3387 -2.3469 0.64338 0.36698 0.031133 -0.0311 923.47 0 0
22
+ 7 0.49114 -0.093691 0.48796 -0.10907 0.0017 0.042795 -0.041906 0.0086784 -2.3801e-06 -1.1493e-05 -0.00065827 0.00013613 11.084 0 0
23
+ 135 -0.24088 0.43815 -0.227 0.4455 0.08812 2.5193 1.1789 -2.2265 0.60776 0.32179 0.028063 -0.029918 860.72 0 0
24
+ 8 0.48796 -0.10907 0.48429 -0.12434 0.00165 0.041225 -0.040086 0.0096238 0.0011555 0.0048131 -0.0006115 0.00022676 10.214 0 0
25
+ 136 -0.227 0.4455 -0.21289 0.45241 0.08432 2.4126 1.0614 -2.1666 0.63948 0.31328 0.026716 -0.029111 842.85 0 0
26
+ 9 0.48429 -0.12434 0.48015 -0.1395 0.00151 0.037494 -0.036165 0.0098936 0.0015765 0.0057628 -0.00054329 0.00024592 10.553 0 0
27
+ 137 -0.21289 0.45241 -0.19857 0.45888 0.0808 2.2976 0.94551 -2.0941 0.63815 0.28813 0.024875 -0.028366 800.86 0 0
28
+ 10 0.48015 -0.1395 0.47553 -0.15451 0.00166 0.04099 -0.039178 0.012053 0.00049048 0.0015943 -0.00060768 0.00021436 13.322 0 0
29
+ 138 -0.19857 0.45888 -0.18406 0.46489 0.07401 2.0982 0.80296 -1.9385 0.61129 0.25321 0.022214 -0.026472 736.81 0 0
30
+ 11 0.47553 -0.15451 0.47044 -0.16937 0.00177 0.042693 -0.040392 0.013829 0.0021085 0.0061585 -0.00060133 0.00031395 11.79 0 0
31
+ 139 -0.18406 0.46489 -0.16937 0.47044 0.06993 1.9898 0.70333 -1.8613 0.58312 0.22034 0.020207 -0.025775 697.05 0 0
32
+ 12 0.47044 -0.16937 0.46489 -0.18406 0.00152 0.035371 -0.033088 0.012503 0.0035673 0.0094406 -0.00046368 0.00034467 10.563 0 0
33
+ 140 -0.16937 0.47044 -0.15451 0.47553 0.06542 1.8675 0.60493 -1.7668 0.59518 0.20377 0.01885 -0.024552 675.54 0 0
34
+ 13 0.46489 -0.18406 0.45888 -0.19857 0.00158 0.036691 -0.033898 0.014041 0.0030648 0.0073992 -0.0004843 0.00033677 11.969 0 0
35
+ 141 -0.15451 0.47553 -0.1395 0.48015 0.06168 1.7418 0.51216 -1.6648 0.57472 0.17681 0.017072 -0.023372 623.37 0 0
36
+ 14 0.45888 -0.19857 0.45241 -0.21289 0.00172 0.040971 -0.037341 0.01686 0.0045313 0.010036 -0.00051535 0.00042246 10.811 0 0
37
+ 142 -0.1395 0.48015 -0.12434 0.48429 0.05748 1.6062 0.42383 -1.5492 0.54413 0.14886 0.015204 -0.021996 573.28 0 0
38
+ 15 0.45241 -0.21289 0.4455 -0.227 0.00142 0.034007 -0.03054 0.014961 0.0059289 0.012102 -0.00038657 0.0004251 11.838 0 0
39
+ 143 -0.12434 0.48429 -0.10907 0.48796 0.05433 1.5329 0.35785 -1.4906 0.5848 0.1404 0.014807 -0.021207 565.85 0 0
40
+ 16 0.4455 -0.227 0.43815 -0.24088 0.00165 0.037451 -0.033098 0.017524 0.0089962 0.016991 -0.00037857 0.00054214 12.536 0 0
41
+ 144 -0.10907 0.48796 -0.093691 0.49114 0.05058 1.4303 0.29004 -1.4006 0.56265 0.11652 0.013393 -0.020169 540.94 0 0
42
+ 17 0.43815 -0.24088 0.43037 -0.25452 0.0016 0.037072 -0.032202 0.018368 0.0073127 0.012821 -0.00039095 0.00048988 13.833 0 0
43
+ 145 -0.093691 0.49114 -0.078217 0.49384 0.04547 1.274 0.21904 -1.255 0.51477 0.089842 0.011526 -0.018302 475.77 0 0
44
+ 18 0.43037 -0.25452 0.42216 -0.26791 0.00181 0.043585 -0.037162 0.022773 0.0085482 0.013949 -0.00044945 0.00057681 14.179 0 0
45
+ 146 -0.078217 0.49384 -0.062667 0.49606 0.04195 1.1549 0.16273 -1.1434 0.47593 0.067735 0.010032 -0.016895 424.9 0 0
46
+ 19 0.42216 -0.26791 0.41354 -0.28104 0.00169 0.038694 -0.032341 0.021244 0.011729 0.017855 -0.00032375 0.00061414 15.269 0 0
47
+ 147 -0.062667 0.49606 -0.047054 0.49778 0.04219 1.1912 0.13071 -1.184 0.51256 0.056587 0.010104 -0.017708 472.89 0 0
48
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+ 88 -0.45888 -0.19857 -0.46489 -0.18406 0.22449 6.3518 5.8683 2.4307 0.20001 -0.48287 0.095317 0.030596 1952 0 0
170
+ 89 -0.46489 -0.18406 -0.47044 -0.16937 0.22786 6.5068 6.0867 2.3 0.20495 -0.54238 0.098825 0.027607 2031.2 0 0
171
+ 90 -0.47044 -0.16937 -0.47553 -0.15451 0.23248 6.5879 6.2327 2.1339 0.15779 -0.46086 0.10038 0.02628 2002.6 0 0
172
+ 91 -0.47553 -0.15451 -0.48015 -0.1395 0.23544 6.6831 6.3877 1.9651 0.14021 -0.45576 0.10254 0.023708 2055.3 0 0
173
+ 92 -0.48015 -0.1395 -0.48429 -0.12434 0.2394 6.8609 6.6177 1.8104 0.10859 -0.39695 0.10565 0.022202 2155.5 0 0
174
+ 93 -0.48429 -0.12434 -0.48796 -0.10907 0.24473 6.9398 6.748 1.6201 0.083587 -0.34817 0.10731 0.019978 2104.8 0 0
175
+ 94 -0.48796 -0.10907 -0.49114 -0.093691 0.24731 6.9884 6.8432 1.4172 0.064072 -0.30939 0.1085 0.0174 2084.4 0 0
176
+ 95 -0.49114 -0.093691 -0.49384 -0.078217 0.24931 7.1162 7.0102 1.2235 0.050729 -0.29066 0.11091 0.014652 2224.7 0 0
177
+ 96 -0.49384 -0.078217 -0.49606 -0.062667 0.25231 7.1673 7.0958 1.0099 0.031217 -0.21934 0.11195 0.012417 2193 0 0
178
+ 97 -0.49606 -0.062667 -0.49778 -0.047054 0.25287 7.2438 7.2001 0.79489 0.019784 -0.1792 0.1134 0.0096709 2274.7 0 0
179
+ 98 -0.49778 -0.047054 -0.49901 -0.031395 0.25565 7.262 7.2396 0.56977 0.011428 -0.1452 0.11389 0.0066688 2202.2 0 0
180
+ 99 -0.49901 -0.031395 -0.49975 -0.015705 0.25594 7.295 7.2869 0.34364 0.0031776 -0.067381 0.11451 0.0043393 2221.8 0 0
181
+ 100 -0.49975 -0.015705 -0.5 0 0.25387 7.2463 7.2454 0.11382 -1.7066e-05 0.0010864 0.11381 0.0018049 2204.5 0 0
182
+ 101 -0.5 0 -0.49975 0.015705 0.25539 7.2845 7.2836 -0.11442 -7.3752e-06 -0.00046948 0.11441 -0.0018046 2248.1 0 0
183
+ 102 -0.49975 0.015705 -0.49901 0.031395 0.25381 7.2153 7.2073 -0.33989 0.00405 0.08588 0.11327 -0.0039897 2195.6 0 0
184
+ 103 -0.49901 0.031395 -0.49778 0.047054 0.25251 7.2424 7.2201 -0.56823 0.012493 0.15873 0.1136 -0.0064321 2244.1 0 0
185
+ 104 -0.49778 0.047054 -0.49606 0.062667 0.25387 7.2347 7.191 -0.7939 0.017588 0.15931 0.11323 -0.0099676 2260.4 0 0
186
+ 105 -0.49606 0.062667 -0.49384 0.078217 0.25038 7.1599 7.0885 -1.0088 0.033266 0.23374 0.11186 -0.012175 2221.2 0 0
187
+ 106 -0.49384 0.078217 -0.49114 0.093691 0.24984 7.1473 7.0408 -1.2288 0.053307 0.30544 0.11143 -0.014504 2247.2 0 0
188
+ 107 -0.49114 0.093691 -0.48796 0.10907 0.24451 6.9552 6.8107 -1.4104 0.065338 0.3155 0.108 -0.017198 2105.3 0 0
189
+ 108 -0.48796 0.10907 -0.48429 0.12434 0.24407 6.9487 6.7567 -1.6221 0.080023 0.33332 0.10739 -0.020244 2093.4 0 0
190
+ 109 -0.48429 0.12434 -0.48015 0.1395 0.24012 6.8142 6.5727 -1.7981 0.10585 0.38694 0.1049 -0.022165 2087 0 0
191
+ 110 -0.48015 0.1395 -0.47553 0.15451 0.23862 6.7588 6.46 -1.9874 0.11955 0.38859 0.10335 -0.025112 2055.2 0 0
192
+ 111 -0.47553 0.15451 -0.47044 0.16937 0.23384 6.6881 6.3275 -2.1664 0.16113 0.47063 0.10192 -0.026636 2098.4 0 0
193
+ 112 -0.47044 0.16937 -0.46489 0.18406 0.22721 6.4885 6.0697 -2.2935 0.20581 0.54467 0.098571 -0.02747 2066.4 0 0
194
+ 113 -0.46489 0.18406 -0.45888 0.19857 0.22313 6.3535 5.8698 -2.4314 0.23189 0.55984 0.095842 -0.029397 1985.6 0 0
195
+ 114 -0.45888 0.19857 -0.45241 0.21289 0.2185 6.2648 5.7098 -2.5781 0.24446 0.54141 0.093525 -0.03199 1951.3 0 0
196
+ 115 -0.45241 0.21289 -0.4455 0.227 0.21205 6.051 5.434 -2.6621 0.25785 0.52634 0.089403 -0.033547 1909.6 0 0
197
+ 116 -0.4455 0.227 -0.43815 0.24088 0.20691 5.8999 5.2141 -2.7607 0.3116 0.5885 0.086794 -0.03412 1836 0 0
198
+ 117 -0.43815 0.24088 -0.43037 0.25452 0.19814 5.6842 4.9375 -2.8163 0.3267 0.57277 0.082686 -0.03524 1794.1 0 0
199
+ 118 -0.43037 0.25452 -0.42216 0.26791 0.19856 5.6236 4.7949 -2.9383 0.36517 0.59591 0.081051 -0.036793 1743.5 0 0
200
+ 119 -0.42216 0.26791 -0.41354 0.28104 0.18768 5.3576 4.4779 -2.9414 0.40965 0.62363 0.07677 -0.036406 1705.8 0 0
201
+ 120 -0.41354 0.28104 -0.40451 0.29389 0.18229 5.207 4.2601 -2.9941 0.40458 0.57566 0.07327 -0.037987 1627.9 0 0
202
+ 121 -0.40451 0.29389 -0.39508 0.30645 0.17628 5.0346 4.0261 -3.0229 0.47824 0.63695 0.070751 -0.037476 1602.3 0 0
203
+ 122 -0.39508 0.30645 -0.38526 0.31871 0.1696 4.8502 3.7852 -3.0325 0.49285 0.61517 0.067197 -0.03797 1543.9 0 0
204
+ 123 -0.38526 0.31871 -0.37506 0.33066 0.16225 4.6482 3.5345 -3.0187 0.53496 0.62636 0.06392 -0.037578 1513.5 0 0
205
+ 124 -0.37506 0.33066 -0.36448 0.34227 0.1562 4.4743 3.3093 -3.0113 0.53935 0.59274 0.060452 -0.037989 1453 0 0
206
+ 125 -0.36448 0.34227 -0.35355 0.35355 0.15151 4.3494 3.1234 -3.0268 0.56984 0.58803 0.058011 -0.038307 1417.8 0 0
207
+ 126 -0.35355 0.35355 -0.34227 0.36448 0.14473 4.1378 2.8795 -2.9714 0.57254 0.55483 0.054223 -0.037959 1351.6 0 0
208
+ 127 -0.34227 0.36448 -0.33066 0.37506 0.13656 3.9138 2.634 -2.8947 0.58964 0.53653 0.050635 -0.037041 1273.2 0 0
209
+ 128 -0.33066 0.37506 -0.31871 0.38526 0.13181 3.7508 2.4359 -2.8521 0.60744 0.5188 0.047803 -0.03665 1249.7 0 0
CylinderKnMa/Kn0p38/simulation0840_Kn0p38Ma5p9/runmpirun128.sh ADDED
@@ -0,0 +1,18 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #!/bin/bash
2
+ #SBATCH -J Cylinder——Kn
3
+ #SBATCH -p wzhcnormal
4
+ #SBATCH -N 2
5
+ #SBATCH --ntasks-per-node=64
6
+
7
+
8
+ module purge
9
+ module load compiler/devtoolset/7.3.1
10
+ module load mpi/hpcx/2.11.0/gcc-7.3.1
11
+ export UCX_WARN_UNUSED_ENV_VARS=n
12
+ /public/software/mpi/hpcx/v2.11.0/gcc-7.3.1/bin/mpirun -n 128 ../../../sep2024-sparta/src/spa_mpi <config.txt
13
+
14
+ /work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/grid2paraview.py mir.txt Grid -r ./output/grid.*.dat
15
+
16
+ /work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/grid2paraview.py mir.txt Lambda -r ./output/lambdakn.*.dat
17
+
18
+ /work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/surf2paraview.py ./surf/geom.surf Surf -r ./output/surf.*.dat
CylinderKnMa/Kn0p38/simulation0840_Kn0p38Ma5p9/runmpirun64.sh ADDED
@@ -0,0 +1,18 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #!/bin/bash
2
+ #SBATCH -J Cylinder——Kn
3
+ #SBATCH -p wzhcnormal
4
+ #SBATCH -N 1
5
+ #SBATCH --ntasks-per-node=64
6
+
7
+
8
+ module purge
9
+ module load compiler/devtoolset/7.3.1
10
+ module load mpi/hpcx/2.11.0/gcc-7.3.1
11
+ export UCX_WARN_UNUSED_ENV_VARS=n
12
+ /public/software/mpi/hpcx/v2.11.0/gcc-7.3.1/bin/mpirun -n 64 ../../../sep2024-sparta/src/spa_mpi <config.txt
13
+
14
+ /work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/grid2paraview.py mir.txt Grid -r ./output/grid.*.dat
15
+
16
+ /work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/grid2paraview.py mir.txt Lambda -r ./output/lambdakn.*.dat
17
+
18
+ /work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/surf2paraview.py ./surf/geom.surf Surf -r ./output/surf.*.dat
CylinderKnMa/Kn0p38/simulation0840_Kn0p38Ma5p9/slurm-28428841.out ADDED
@@ -0,0 +1,205 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ SPARTA (4 Sep 2024)
2
+ Running on 128 MPI task(s)
3
+ Running on 128 MPI task(s)
4
+ Created orthogonal box = (-5 -5 -0.5) to (6 5 0.5)
5
+ Created 53265 child grid cells
6
+ CPU time = 0.0886094 secs
7
+ create/ghost percent = 1.29242 98.7076
8
+ Balance grid migrated 53160 cells
9
+ CPU time = 0.0853582 secs
10
+ reassign/sort/migrate/ghost percent = 66.1888 0.0362473 9.22623 24.5487
11
+ Reading surface file ...
12
+ 200 lines
13
+ -0.5 0.5 xlo xhi
14
+ -0.5 0.5 ylo yhi
15
+ 0 0 zlo zhi
16
+ 0.0157073 min line length
17
+ 336 0 = cells overlapping surfs, overlap cells with unmarked corner pts
18
+ 47589 5340 336 = cells outside/inside/overlapping surfs
19
+ 336 = surf cells with 1,2,etc splits
20
+ 109.214731023047 109.214731023047 = cell-wise and global flow volume
21
+ CPU time = 0.0939214 secs
22
+ read/check/sort/surf2grid/ghost/inout/particle percent = 25.4577 25.2149 2.97192 25.3827 20.9728 6.42041 0.175283
23
+ surf2grid time = 0.0238398 secs
24
+ map/comm1/comm2/comm3/comm4/split percent = 14.4541 24.4168 3.96656 2.36442 11.8076 7.08267
25
+ Balance grid migrated 988 cells
26
+ CPU time = 0.0303041 secs
27
+ reassign/sort/migrate/ghost percent = 10.0834 0.0944393 29.5925 60.2296
28
+ Creating particles ...
29
+ WARNING: Created unexpected # of particles: 363039 versus 363040 (../create_particles.cpp:346)
30
+ Created 363039 particles
31
+ CPU time = 0.0126771 secs
32
+ Memory usage per proc in Mbytes:
33
+ particles (ave,min,max) = 1.6084 0 1.6875
34
+ grid (ave,min,max) = 2.88342 1.51379 4.32629
35
+ surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
36
+ total (ave,min,max) = 4.51242 3.22189 6.03439
37
+ Step CPU Np Natt Ncoll Nscoll Npave Nscollave
38
+ 0 0 363039 0 0 0 0 0
39
+ 10000 10.174333 405883 4682 4097 21 385058.82 15.0707
40
+ 20000 20.803735 406558 4708 4139 11 395955.24 15.2514
41
+ 30000 33.377403 407171 4776 4173 16 399598.48 15.2952
42
+ 40000 44.5253 407745 4904 4335 16 401607.36 15.35035
43
+ 50000 56.152796 407486 4861 4303 14 402774.28 15.37992
44
+ 60000 67.742917 407543 4834 4276 17 403501.11 15.39395
45
+ 70000 78.972343 407348 4784 4218 20 403965.98 15.397986
46
+ 80000 90.31087 408519 4826 4223 15 404419.54 15.403787
47
+ 90000 101.25135 407482 4847 4290 15 404738.06 15.411767
48
+ 100000 111.92511 407128 4750 4160 13 405000.04 15.41744
49
+ 110000 124.14583 407335 4822 4261 21 405233.39 15.424982
50
+ 120000 135.68283 406815 4695 4149 18 405390.34 15.424642
51
+ 130000 147.02611 406697 4713 4111 12 405533.71 15.4218
52
+ 140000 157.80228 407472 4777 4246 20 405630.99 15.424536
53
+ 150000 168.48934 406946 4815 4288 17 405758.28 15.424453
54
+ 160000 180.55177 406790 4685 4130 12 405847.53 15.426937
55
+ 170000 191.94504 407121 4857 4260 22 405930.25 15.429182
56
+ 180000 203.3561 407026 4770 4201 13 406001.13 15.431311
57
+ 190000 214.20912 406838 4772 4228 13 406047.89 15.428537
58
+ 200000 225.14339 407355 4706 4160 7 406093.33 15.42964
59
+ Loop time of 225.144 on 128 procs for 200000 steps with 407355 particles
60
+
61
+ MPI task timing breakdown:
62
+ Section | min time | avg time | max time |%varavg| %total
63
+ ---------------------------------------------------------------
64
+ Move | 0.023684 | 9.7764 | 63.411 | 406.3 | 4.34
65
+ Coll | 0.27599 | 7.6308 | 62.705 | 372.5 | 3.39
66
+ Sort | 0.093888 | 1.6489 | 11.328 | 171.9 | 0.73
67
+ Comm | 55.524 | 88.23 | 98.632 | 93.3 | 39.19
68
+ Modify | 0.019155 | 0.10705 | 2.0592 | 92.7 | 0.05
69
+ Output | 0.0095 | 0.014816 | 0.02113 | 2.5 | 0.01
70
+ Other | | 117.7 | | | 52.29
71
+
72
+ Particle moves = 81218666370 (81.2B)
73
+ Cells touched = 84813115530 (84.8B)
74
+ Particle comms = 184698669 (185M)
75
+ Boundary collides = 0 (0K)
76
+ Boundary exits = 17563601 (17.6M)
77
+ SurfColl checks = 203282859 (203M)
78
+ SurfColl occurs = 3085928 (3.09M)
79
+ Surf reactions = 0 (0K)
80
+ Collide attempts = 1119568982 (1.12B)
81
+ Collide occurs = 881432485 (881M)
82
+ Gas reactions = 0 (0K)
83
+ Particles stuck = 0
84
+ Axisymm bad moves = 0
85
+
86
+ Particle-moves/CPUsec/proc: 2.81829e+06
87
+ Particle-moves/step: 406093
88
+ Cell-touches/particle/step: 1.04426
89
+ Particle comm iterations/step: 1
90
+ Particle fraction communicated: 0.00227409
91
+ Particle fraction colliding with boundary: 0
92
+ Particle fraction exiting boundary: 0.000216251
93
+ Surface-checks/particle/step: 0.00250291
94
+ Surface-collisions/particle/step: 3.79953e-05
95
+ Surface-reactions/particle/step: 0
96
+ Collision-attempts/particle/step: 0.0137846
97
+ Collisions/particle/step: 0.0108526
98
+ Gas-reactions/particle/step: 0
99
+
100
+ Particles: 3182.46 ave 22164 max 0 min
101
+ Histogram: 84 16 6 10 2 6 0 2 0 2
102
+ Cells: 416.133 ave 417 max 415 min
103
+ Histogram: 1 0 0 0 0 109 0 0 0 18
104
+ GhostCell: 10796.4 ave 19812 max 593 min
105
+ Histogram: 21 9 14 8 17 3 6 4 16 30
106
+ EmptyCell: 74.8203 ave 218 max 0 min
107
+ Histogram: 40 1 16 7 26 15 8 11 2 2
108
+ Surfs: 200 ave 200 max 200 min
109
+ Histogram: 128 0 0 0 0 0 0 0 0 0
110
+ GhostSurf: 0 ave 0 max 0 min
111
+ Histogram: 128 0 0 0 0 0 0 0 0 0
112
+ Memory usage per proc in Mbytes:
113
+ particles (ave,min,max) = 1.66113 0 3.375
114
+ grid (ave,min,max) = 2.88342 1.51379 4.32629
115
+ surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
116
+ total (ave,min,max) = 4.70511 3.36171 6.17471
117
+ Step CPU Np Natt Ncoll Nscoll Npave Nscollave
118
+ 200000 0 407355 4706 4160 0 0 0
119
+ 210000 20.969576 407472 4711 4138 13 407284.59 15.4846
120
+ 220000 42.127417 406773 4800 4242 13 407253.87 15.47305
121
+ 230000 61.928912 407090 4840 4270 15 407229.24 15.4642
122
+ 240000 83.162229 406677 4806 4296 11 407209.23 15.463575
123
+ 250000 103.83261 407400 4779 4242 21 407154.8 15.45882
124
+ 260000 123.78711 406957 4735 4204 13 407189.38 15.46665
125
+ 270000 145.1497 407065 4726 4163 13 407219.67 15.469043
126
+ 280000 165.84136 407428 4848 4288 18 407255.6 15.468412
127
+ 290000 185.63125 406992 4742 4179 16 407236.98 15.466844
128
+ 300000 206.44739 407251 4701 4132 18 407220.32 15.46621
129
+ Loop time of 206.448 on 128 procs for 100000 steps with 407251 particles
130
+
131
+ MPI task timing breakdown:
132
+ Section | min time | avg time | max time |%varavg| %total
133
+ ---------------------------------------------------------------
134
+ Move | 0.012335 | 4.9466 | 32.192 | 288.5 | 2.40
135
+ Coll | 0.13683 | 3.8557 | 32.424 | 267.4 | 1.87
136
+ Sort | 0.052509 | 0.83329 | 5.6707 | 120.6 | 0.40
137
+ Comm | 32.321 | 48.602 | 54.332 | 63.6 | 23.54
138
+ Modify | 1.9219 | 13.693 | 84.101 | 446.3 | 6.63
139
+ Output | 0.033359 | 0.034843 | 0.038235 | 0.6 | 0.02
140
+ Other | | 134.5 | | | 65.14
141
+
142
+ Particle moves = 40722031841 (40.7B)
143
+ Cells touched = 42523170132 (42.5B)
144
+ Particle comms = 92529311 (92.5M)
145
+ Boundary collides = 0 (0K)
146
+ Boundary exits = 8802428 (8.8M)
147
+ SurfColl checks = 101901464 (102M)
148
+ SurfColl occurs = 1546621 (1.55M)
149
+ Surf reactions = 0 (0K)
150
+ Collide attempts = 564160772 (564M)
151
+ Collide occurs = 444121806 (444M)
152
+ Gas reactions = 0 (0K)
153
+ Particles stuck = 0
154
+ Axisymm bad moves = 0
155
+
156
+ Particle-moves/CPUsec/proc: 1.54102e+06
157
+ Particle-moves/step: 407220
158
+ Cell-touches/particle/step: 1.04423
159
+ Particle comm iterations/step: 1
160
+ Particle fraction communicated: 0.00227222
161
+ Particle fraction colliding with boundary: 0
162
+ Particle fraction exiting boundary: 0.000216159
163
+ Surface-checks/particle/step: 0.00250237
164
+ Surface-collisions/particle/step: 3.798e-05
165
+ Surface-reactions/particle/step: 0
166
+ Collision-attempts/particle/step: 0.0138539
167
+ Collisions/particle/step: 0.0109062
168
+ Gas-reactions/particle/step: 0
169
+
170
+ Particles: 3181.65 ave 22312 max 0 min
171
+ Histogram: 85 15 5 11 2 6 0 2 0 2
172
+ Cells: 416.133 ave 417 max 415 min
173
+ Histogram: 1 0 0 0 0 109 0 0 0 18
174
+ GhostCell: 10796.4 ave 19812 max 593 min
175
+ Histogram: 21 9 14 8 17 3 6 4 16 30
176
+ EmptyCell: 74.8203 ave 218 max 0 min
177
+ Histogram: 40 1 16 7 26 15 8 11 2 2
178
+ Surfs: 200 ave 200 max 200 min
179
+ Histogram: 128 0 0 0 0 0 0 0 0 0
180
+ GhostSurf: 0 ave 0 max 0 min
181
+ Histogram: 128 0 0 0 0 0 0 0 0 0
182
+ Writing grid file ...
183
+ grid cells = 53265
184
+ CPU time = 0.00754826 secs
185
+ Writing surface file ...
186
+ surf elements = 200
187
+ CPU time = 0.00271872 secs
188
+ Processing 4 grid chunk(s).
189
+ Completed grid chunk number: 3
190
+ Completed grid chunk number: 2
191
+ Completed grid chunk number: 1
192
+ Completed grid chunk number: 0
193
+
194
+ Done in 0:00:09 (wall clock time)
195
+
196
+ Processing 4 grid chunk(s).
197
+ Completed grid chunk number: 3
198
+ Completed grid chunk number: 2
199
+ Completed grid chunk number: 1
200
+ Completed grid chunk number: 0
201
+
202
+ Done in 0:00:08 (wall clock time)
203
+
204
+ Processing SPARTA surface information.
205
+ Processing dump result file: ['./output/surf.300000.dat']
CylinderKnMa/Kn0p38/simulation0840_Kn0p38Ma5p9/surf/Surf_300000.vtu ADDED
@@ -0,0 +1,38 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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="400" NumberOfCells="200" >
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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="1" RangeMax="200" offset="0" />
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+ <DataArray type="Float64" Name="v1x" format="appended" RangeMin="-0.5" RangeMax="0.5" offset="432" />
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+ <DataArray type="Float64" Name="v1y" format="appended" RangeMin="-0.5" RangeMax="0.5" offset="1468" />
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+ <DataArray type="Float64" Name="v2x" format="appended" RangeMin="-0.5" RangeMax="0.5" offset="2476" />
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+ <DataArray type="Float64" Name="v2y" format="appended" RangeMin="-0.5" RangeMax="0.5" offset="3508" />
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+ <DataArray type="Float64" Name="f_2[1]" format="appended" RangeMin="0.00136" RangeMax="0.25594" offset="4512" />
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+ <DataArray type="Float64" Name="f_2[2]" format="appended" RangeMin="0.032341" RangeMax="7.295" offset="6472" />
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+ <DataArray type="Float64" Name="f_2[3]" format="appended" RangeMin="-0.10541" RangeMax="7.2869" offset="8516" />
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+ <DataArray type="Float64" Name="f_2[4]" format="appended" RangeMin="-3.0325" RangeMax="3.0462" offset="10616" />
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+ <DataArray type="Float64" Name="f_2[5]" format="appended" RangeMin="-0.00018004" RangeMax="0.66897" offset="12700" />
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+ <DataArray type="Float64" Name="f_2[6]" format="appended" RangeMin="-0.63654" RangeMax="0.63695" offset="14796" />
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+ <DataArray type="Float64" Name="f_2[7]" format="appended" RangeMin="-0.00073679" RangeMax="0.11451" offset="16936" />
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+ <DataArray type="Float64" Name="f_2[8]" format="appended" RangeMin="-0.038307" RangeMax="0.038231" offset="19076" />
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+ <DataArray type="Float64" Name="f_2[9]" format="appended" RangeMin="8.9874" RangeMax="2274.7" offset="21220" />
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+ <DataArray type="Float64" Name="f_2[10]" format="appended" RangeMin="0" RangeMax="0" offset="22580" />
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+ <DataArray type="Float64" Name="f_2[11]" format="appended" RangeMin="0" RangeMax="0" offset="22632" />
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+ </CellData>
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+ <Points>
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+ <DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="0.49999998503" RangeMax="0.50000001255" offset="22684" />
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+ </Points>
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+ <Cells>
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+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="24012" />
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+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="24916" />
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+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="25408" />
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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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AQAAAACAAABABgAA6QUAAA==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AQAAAACAAABABgAAFAYAAA==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AQAAAACAAABABgAABwYAAA==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AQAAAACAAABABgAAEgYAAA==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AQAAAACAAABABgAAMgYAAA==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AQAAAACAAABABgAANQYAAA==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AQAAAACAAABABgAA6QMAAA==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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
37
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38
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AQAAAACAAADASwAAlQ8AAA==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AgAAAACAAACAOwAABRMAABMJAAA=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AQAAAACAAADgLgAA5QcAAA==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AQAAAACAAADcBQAAFAAAAA==eJzj5BwFo2AUjIJRMNwAAKgINL0=
26
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27
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