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  1. .gitattributes +3 -0
  2. CylinderKnMa/Kn0p08/simulation0095_Kn0p08Ma6p4/Lambda/Lambda_14_300000.vtu +3 -0
  3. CylinderKnMa/Kn0p08/simulation0095_Kn0p08Ma6p4/grid/Grid_14_300000.vtu +3 -0
  4. CylinderKnMa/Kn0p08/simulation0095_Kn0p08Ma6p4/output/grid.300000.dat +3 -0
  5. CylinderKnMa/Kn0p12/simulation0175_Kn0p12Ma4p4/surf/Surf_300000.vtu +38 -0
  6. CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/Grid.pvd +9 -0
  7. CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/Lambda.pvd +9 -0
  8. CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/Lambda/Lambda_0_300000.vtu +0 -0
  9. CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/Lambda/Lambda_10_300000.vtu +0 -0
  10. CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/Lambda/Lambda_11_300000.vtu +0 -0
  11. CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/Lambda/Lambda_12_300000.vtu +27 -0
  12. CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/Lambda/Lambda_13_300000.vtu +27 -0
  13. CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/Lambda/Lambda_14_300000.vtu +27 -0
  14. CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/Lambda/Lambda_15_300000.vtu +27 -0
  15. CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/Lambda/Lambda_1_300000.vtu +0 -0
  16. CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/Lambda/Lambda_2_300000.vtu +0 -0
  17. CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/Lambda/Lambda_300000.pvtu +33 -0
  18. CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/Lambda/Lambda_3_300000.vtu +0 -0
  19. CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/Lambda/Lambda_4_300000.vtu +0 -0
  20. CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/Lambda/Lambda_5_300000.vtu +0 -0
  21. CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/Lambda/Lambda_6_300000.vtu +0 -0
  22. CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/Lambda/Lambda_7_300000.vtu +0 -0
  23. CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/Lambda/Lambda_8_300000.vtu +0 -0
  24. CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/Lambda/Lambda_9_300000.vtu +0 -0
  25. CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/Surf.pvd +9 -0
  26. CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/config.txt +78 -0
  27. CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/cylinder.surf +410 -0
  28. CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/gas.species +14 -0
  29. CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/gas.vhs +9 -0
  30. CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/grid/Grid_0_300000.vtu +0 -0
  31. CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/grid/Grid_10_300000.vtu +0 -0
  32. CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/grid/Grid_11_300000.vtu +0 -0
  33. CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/grid/Grid_12_300000.vtu +0 -0
  34. CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/grid/Grid_13_300000.vtu +0 -0
  35. CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/grid/Grid_14_300000.vtu +0 -0
  36. CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/grid/Grid_15_300000.vtu +0 -0
  37. CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/grid/Grid_1_300000.vtu +0 -0
  38. CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/grid/Grid_2_300000.vtu +0 -0
  39. CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/grid/Grid_300000.pvtu +41 -0
  40. CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/grid/Grid_3_300000.vtu +0 -0
  41. CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/grid/Grid_4_300000.vtu +0 -0
  42. CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/grid/Grid_6_300000.vtu +0 -0
  43. CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/grid/Grid_7_300000.vtu +0 -0
  44. CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/grid/Grid_8_300000.vtu +0 -0
  45. CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/grid/Grid_9_300000.vtu +0 -0
  46. CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/grid/final-grid.dat +0 -0
  47. CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/log.sparta +319 -0
  48. CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/mir.txt +3 -0
  49. CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/output/surf.300000.dat +209 -0
  50. CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/runmpirun128.sh +18 -0
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AQAAAACAAABABgAAjQUAAA==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AQAAAACAAABABgAAwQUAAA==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AQAAAACAAABABgAA6wUAAA==eJw1k3k81Gkcx3WzOlSLlFpXVjocOTp25+PooEJLhS45ElKvNqUcrRzJ1UitUEQKzW7uNKj8nEXOIYNyzVTOZpxjDmRnvOw/z+v7fJ/v6/t8nuf9+S74bbmaQYEScfaufkOGOIiM3jzlnqfOhEmmPcMv2IHIeVRkPNHjTlSr6NwvMHYiLF6btyV6exP9yx3O/ZRwm1iuEWJi9jqEwOXzjRdCIwjbpxuSaeuDCHYNRWK/rj8hL+hQJ41bEabxhTFJmz0Jsc40C9k6byw8SJBN7/qg4JZV+FaKH0qiDALNEmIQ7Ty2Y2lPIjxDB9L905PhIxM0SiJn4J0exeXFdDb0Pghqy6/kgcQabnG6U4h0184/w8j58Dyia/jxRjHinL5u+e5ahu1p1Q4OYxV4lya2pj6pCs+tP2iXZ3/A9+Kdygd86rH9sNwM6UsdlPTLlvGmGuHitaE9Ia8JUgZuq3/ltqDedGidnQ8djuzjRqS+z0j2CwiX1m3HZrMDhtSYTrD2h1VmhTFAe+CxKUOdCXVLe3fFSiZy84pMXKq/oVlR1Pgb6rUUfN5O9kLM8tGOgq5eVA4cE7YeQObxuOGD09+RYm6w2r6MBdvgHfSKC8OYWuPRsmp0GJPV7KoyoxHYiGRvG4X8IFNvbfEo9oS7905SxiAnKjMcxxO6ztCOvRwcuaISM3OXA9ayIs04dS62nJVj2shy4aLkft07hYs9AtZg8U4+aFEnfxgLuDjOKfgUNs3HKeGONciHWNRfk7suCeBpsUHGzUyAM7PBJJxDHE+17xNAP9TwzLcGAXRPF5ounS+ATvJLfV4pD2xfUYqP8w+vxScr83FP1J7FQ0Pzse8ar7no6pa8TwmYwKqUtyWyqhMQitliLM+BbFsd1+rLGNrsRBeNIWGlqGAUK2h9QmcNzeliQ7lode7ppYP4fFirriuoDw6zD+7FVITkEqMcJuZpPjY0nukGK27jPDe3z1g4c6KKfIeOqc5UTEZ9RFeorUbw5TocsrBhzjv7HnSmlVjEuWIkkub78fi5SAk6c/TtVCoY0Sr1nBux2Cpx2KqaHgalbwHk7IvWSFCZ7x0s7QiFfeKReuQQnKeecsloikX3xMJQFjsbi3R9JQffUeEgZbPzZWURTryiy0pcqEBHo5tJuyMNz+TCU3PvN+HtesbL7r0tICuLFLQjZ2VIC0eSgWtbFX8Zd2fiYvC6Yb59DxjsFx2eT/pgneOoLJU5AMUlG2teTrPQT81c0BsxDKnZYBhqKyTzUr3GkC9Kq41DuAjRj8PSNOGmauk4ktZqdKgs5uFVkG9Dri0X8eUKWZddeLiy7++JxXY8XKoLaezs5s/5ToCTCoYjjjX8Od6T0KvdbU6LEiCjVQRIgE3VUu8L8wUoDU4TTpIAE2onI0s5/DldfNyWEQHlQfVr4OPaf3hQmp642h3PRbOEyIFc2DzXFXacwCz2FA4u2S2pk/uDM8fzf9+Ow6nm1MHKJWO4qHOTahAwin5VLfEX8iMYLxNn0N4NYYoy0mjmMIw9OoWBrXFscGvuienmDaLc7r7ugOIA/KONhRPSj6a2qm41rz7EpHP2Gp3oQf9mk+0yZl/BvDod0JHFhCWraSTWnwEN2ZGEWE43XhVo/W4f2oFl5HvWvWs68VF4+oHXhhYhzZ0xrag0lNh+YYYO7cipkmKPJux1sqlYF0dD5jW/N9bpDaAk6ktTNOtQ8SPHZzSrBrJUmljn/CqIKPhHv0ft1bWulDclmP3GO6WQz/G/ku1agB5xucrcaiqc+YVLZ/pzsCtLXnGBVwbMYzUfRrP+BSve2d/z9jOEHQ3UpPo8weefI8PdVkZh1a0HV2dsYlHzaZ52fYoVkcgditQ6BuK2L6Mru9+BoI0Vq4ffNCJI+Q9U1DNvEoabjhfIxt4ipD+mJkUV+RH5LPqdRjEvooFJZ7ts9SRapck+5s3XiUxVC1uzFg8iw3f3NosIe6LSqSZ/4W5XwlnpxCGlbCuCuUibarmLRPAbSlo0PaZI/wFcTUV1AQAAAACAAABABgAA6QUAAA==eJw9VHs8E3oUvwmLpD6YyiMJlUelpKQ4EVHSe149iEjoU3mUSiNXkTKkuJRQ8ipU80jkeMxGSti65VlYJFlsNbbVdSfu/fd3fud7zvl+v+cYVLXuz0sLx4RfvLVucRHYyNc8WSbMwOBRcidZcBObqo0ytrkno1R1X0e5dAyuWbLH23ksDV08s4r+ScxBSkJNBSM5C0NKz/VlGmaj7Dwpoyy3VEz8bECdVZeIIy/Z0RbK3lhtStHQi4nCa9mLjp86cA0ubcnZSyVEwwX+wayl1degmRPnHmZ1H3pkl7OYNjmQVsBx8kvIAzL98kxN5yLA8LUeLYEl0BSdc9VcowzyVym0+698AROzasN0HMsgXO2mIZOP0FJg+XJXXjU4yihHGmEN6NEFt3dH0cDyVopZsywN/ig4yti6mA6zPWZbyG+nwSqhbOt1awYMxd3ukQ6hQ++Nvp2Dbg3g+VN0fTaBDlHegYQnRg3wO+0wA5wCwtwoixjAD5XnfZKqB5loDQ+OCx0kJw40UGJoUMC0tfs0TANR4Cav9DU1EPT4nzdHKqsg0OJi452V5eBbwr0x0VAKLgbW3Fubn0KilGKoUlAWXFEdERyJiIObeMEmRiYeH56xt/WVy8NsgtQD708l6MByU7kSW4V+Sz/4BXjQkcV6Wlxp+wrzq+Le5t9tQQUloHcWs7AkIqSZ6tyGLUs6BGSfTuw5tLJ34+qPyPBWJ9nP60MXG5KiVVcf6p20MVkRPIDeiZI5uZ6DaLrIaPfCiSHcJ3X/hukMDh5cbDHq8WoERY2chlrLUbxNSnuY/56L21LDltZc4aHXGPtIxt88/GZibeMv+IGUoNOqcz7y8VnhzIHry8fxsb93/HDION6MvOzCrBjHwGKiGEow3Z9wOi6c/i/CIucfZe3RItxQVH+mMk2AOkESKbNU/3sXYLrKqi5taQF6Lux1ml8qwLrFkwh8vNEYaosX+WhPvL79i+R3jFRuaxrbx53un4sdl/tNY4q+YVD961Mzzb8iQ9dUnDKAVF3H4KRrPTilczt2O5cPWwYwkVnRp6Te0IJjm0Lbc3aWonbSRBxZVAM7TpPazlo3A2/Ts42+pUwomEPs+2nPhlqmvrglNnx5Q86MkuuHRt5HzqOuQSA0LdzTrsoFwer+Ah32KJTwfrGCB7lg/Juw75B/vPt0NIUPBSXuoW1mfJiqOw6+KWfv3NMSQM2VbMeXawTAGaraoLVdCMaHn2+TkxBB81uHr6vKBTCltwjkJPTFIwun6whgQJQ72mo/Du8UuBZvvIQQ6lMRmLBgHAxYKf3q2WOQsEDSQX4FH7aoDfWuU+HDEr/g8w8MfsAk23cP8+CN19sBH30eCNKPUb8EjMKUH0ZAO9RwpPMCB+KXbXu3o3IIZlSrmZFPDsKJAI/zNQoDMNf6knn8MjYQ1Rs+QWYvfO3S+EbS/wjrHpPC63o6YaurRcoT7/cgXjZmWwMLxEOfc8ppgR4xW2cyXsMLU0bY1x900LjXok5rqoLjC3PH9u8sBTspIglbc2GSLTY3Fuw04+zUzsXh53Q7k+/K2XjIz0VX0v8J7iOcM/tLqRQLFAzkj5Ff4Mo6kucHYjV27F7d9CGiBiVsT/SyybXYqav+aCKANu2rOrQSDosZZmDWsKvz8b10dDSfVLAeq562ZioFMvCo1rzCofn1WLy/m3LKpR5z09YTcw3p0/6rQ7IxYVb/5zrUVySLQ3X/4ybrLbjFkqHheEyhGVWbhru0Vtwq1apC1+I1PUnCakxxfT0jfMNz/HPP5EY9R4mjn99b6JTgvfO+bg8lqRiwQ3lMI/kp/qbJOB9DUllJD1Lz0PW3sW5j84jXnG7HB+i8NjVVjuIO9et1fKiiXRA7eFSycDQQ3v2qbH9EcgBNdsVErGIi2AVbFsLVNHAvvxDGaUyG4C0qRJO2RKAOFxkvWZAEuUobVSKFqSA+dpebfO/Aw80rpOcyKVBolS4kxN8BNd0D2sNbYyG+SPXiK0IEOJgTL4nsDuK/ILRX/w==AQAAAACAAABABgAALQYAAA==eJwdlIk/FAgcxWVzbrtWKj60lFqqicix7p+7phCqFXJ3SDsqVDJr5KrRTDNolA5tWGLj4yYa/UzOIcs4Ro4wM5EIZZ1t2OofeO993vt+ntQV89QNakyc96t2ITgw0Xv9absuWybeU69558VmonPOY2aNGgPrucs/2kUzsCWjkJYhxcCuZ+EQjHQsIylJcEQ0vHuqqocYmYAe1bWT7YVUbAI9qtx7KjZwsgL+0buGPhOu22b14vGO2dKhZJlYvB9b1Ja/NQajrc0j165cxSMnnrfuPhyJMssO1cHy4SihsN1TPOUSKhb7bF4THYrZp4JIF1nBWLl/ovJ23+/YkRLwQ0hIEBrF7TIgPzqJ3fKXLJsCA/DGrmJ67SF/lA2RNNhL8cWghA83TI29sZBzOlFzygtHA7RmL2d5YjqhfIr2wRN5YrHE20ZuOHBpwv7M1eNoorzbauKaKx7ie39yVDyGpM72yRf+9ihUcXgWxSXivIK0cgXHAp84KQ3OO9lD6mJmjt6CM9TMkOcrfNxBNYSR8u+WQMjdc9DU4M5ZwOLLE+nqoRD1LtOaMHoJ2m1IKvZWV2He6raEQlQchEex3fIdqNCTXVS9aZYBe90kuyU1k+FjoIhatsgCV4rrZOfHVJjxpb22ePIAUkmP8+U5j8DwXbmttlEmqJ+r/FREzAYi2yyNcCAXjqg8oFJI+XCexTZpvFoIW1IzG6dJxSD9t32B5I4yWJvYV8ddLoeAKQ9ri7FKyHdYzKIMsqH+6MmhjRwEnT01FiYXOeC1SeE+82wtxHXGKEZK1IPhiOx0iHwj0JQdaj/Ic6FVNVDiWl4z8HOuB4ZJtcJLr4NNUuZtcCGP1h8oxoPPSqE962d4IJ232eOEaSeUitv8VhHRBVG95leO5XRD2Lom7+kVPqx6chk3LV+B8Q6/7EmfXqAltDaWpffBEQOrrkixAXDJOiVXKv4aajTOdtnoD4KMgNcgf3YInNfoPLSyGYbSkeM3njQPw/hafXlDMwGonEhOKikUgO8tg/GtykKo8P/qKARrGT3SarMQ3jbMxv2iKgICR3h+1E0EzBdzO44zRfDS7g/NU9Ui2Na/RAlii+C5Qon3uhER9AkKuMpzIoi/XEmdrhPBakqKRtYjESw5vYzQZYkguk1uW9w+EXzDcKMInnWHdvzXIIS+EO0vlQqhQHqlIvlnIQhVD6pVPRIARWmrWZ+RAOg/qZI2Fw2DbLz0F4SHQfyetMpD7yEg67IUJncNQky94GXB6ACoPh7br73aDx+rKJzgV31w61x5pa55L0j98VXpFbSuiTGO+MwHRrLbW6XEbhi3EMt1fNAFxMCWyg1unbCisUF9+KcOWLmX5yLHa4fVYvJMoXMblC0TCI4HWiHBynekXb0FeBJzWqFVTVAR4RQxtNgAcv6nZdN66sCiZLulo1YtmBqKf40A3+YcQjhYaPRgqZsNscF7ztD5laCz08Jiq2kFRBxOkg34vgzUG/l6cQHFoKf41IxPLwT68xj9AF4elHT8tSGMnAvr+19/F+aTDXfOj2mpDmbCwL5gxyqtdCDvXR27r58GyaxZnVKTu0BeaCR3N7PgfT/RdlExCUwmDjO4QgbUG4+PPVVOgGj58VcLd2Lh88aetFuxFOg22/fmGSsC2pdH5RSbQyFFoF00Rg+GcyOGhPclJ2CXk4fXv4eOwpUmpf0jvnZwM6ixVjfaCsZ3tloRaOZYPX3gmNkFHUwXy9RuoDhh1qifG1HZFdXURJYr1KN4xt2VuGjsjmaclYmBUncsvS412Nfpgx9yFwqkpjzRoeqyqgbBF18E7fYj0b0Q2Z6lnhreKKepk8Yn+WKH3ZJRwoI/yiX/nUyKP4nZc+ufu34MwnYal9fREoyj4RIZmidDsKL/TTZ73UWsceZlUH8LR5hzL9BrI2Oj7fSSZEskbq5TyjiyLhoLjgXSyakxmPEjYWAmKQ5zjK8kySzGo8tSz0zz3DUMs2fNS/pQ8ZdwG+WNRgm4yeGzS9ddGs5sf3eP+ysN+/XLe2IGafjlDHrzPtFR0t6bXyfOxD3Zd6cuujLxB6XtkR52TMzw0x33IDPxTZxMpnsvA/+8ILDcvykR/wfZ1ylrAQAAAACAAABABgAAKwYAAA==eJwt0o0/FAYYwHENCXOJ5KVIaeUtmZS38eS1kFviGuelVCdd3s7bcco5eQlJKm81pDg7GV1ersvLQzju3OHW2yc1S1uIbC2UobW1z/6F3/fHCR8KWdqoDZ1vBf7OUU7gGS0NNTR3BWbypDiLewgobR9Y88IAuN5egfHUYzDHI0bcazgOxAabOg01Cqw3MOD+fjIM/iKP1bQuhwHRzzSfeTsCWlKHGQsWNEiMKSZMmMSA3fwl1fdWMUAMn9Of5cXC467Qrw5CHGj6KkWb58SBSDA6Prk/HiQU//Fj2+MgQWajpvnzODiV9sOSTFUCdKwP7Z4/Gw8WcjJ95fZ0sIy1cnCPToLl77g+Cg8TYHakxeaXUgb4JQXp6NSegeD8xDDCJyYM3/J8EjTFgmFlutn5uTTI5u5Hl7YMUNHk19yyy4Q6jqlSq2EOpPnm6OY558HprUsTJzsvQvXJA5arjxTAb2t1ha/gCoSt/JOl+6kQVkSu27EuswTUqJm+3m1XwY9W22yuXAbFh5xf6nlWwNucF0yTp5WQ14yN9oybEKeYNfpyrBrMLl5f+HqcDbOkd9zWPRwIXJHBWFxVB8Zjiu1/b6kHi8n0Ycfi21BfZqiY3cQFPklVNmjpDjTZVWnpS5tASpaOW/OaoX2ZeFk7igfi0wpAk+EDsbi3Z/zXe5D8oS/5kagNrtV5r5ZOdoDtyuMNdGYnmKincCqsuuCu3SleUNh9SD7nRle16wZHgkfJyaVu2Es2jtpr3QvE3+mGSnO9QC5XoJ+YEUAHlXJ/x3wfbLwh1e0Z7Idr+lMOMhwhZDjJbXAqFMEM69CR/ikR9MZ43tpEG4BA0vugNcsDUCO/Y1HpJzH86iNz/sSwGHwm2wRm3hJgvjdwPe4nAQvyXpK6iwR2jhUvJvlIwD4l6kHFRzGMHXVVYYeIwXNKznLNbjGILHq4ZpEDwD1w6ir9exHkfs7KFYKidbrxruR+6Fewv0aq6IOz3u5lqVsFoLi+PNhooAdsGcujbOiGZz3CjwTXLsjMP2dU4IIwnhRNfxzZCg92tvf4sXnwembI1VnQ+P9PDcA7wjF7QWGDfUi2whWvUiCtmneoUGMBTe3Km81FKfhQlbSws60ULflastPWbCyS+4FDOfUjGh0edvrCrRGlgTUFRSIePiocevfN3Vb02h4wnZvegYRKD4leWBeaUrRf+ml2o/uNYm9TXg+S5/kjOR97UWvoeiUzrQ81BOvSNlzpR6Jy8JxGlRBvC3XmVfNEWGezx3xv/gDuoapv+2AnRlYAfdY3S4yvrwqtnj0XY33LUeZTewnu17kZ77tLgptfqNY+fCNB7f9gJLhWftGlfIsEd0vsiNICMYYnMqpNncUYlqT3vKx5APMYn4cYwFczq/6lE+ETtXeOQ6FCpHrNXvCJ60c5G8MQ9kwfTtjmNfmOCnBxZrrTxkCAgWSV7GTTXtx8IZ62XqUHR2LMekmUbjy63UG+M/E+Du62Ym8z7cLHLz+P0ImVqiuyDlR3YPLIWINQpx3PNEryXiu2Yjmjqisigo9eGuc9puTuYvhg185K9xa8NqCSaVvXhGODGQXBD++g7oY3Xl8Kufi05MmarPDbqLe7oFQ5sB4rbKZ9Lghr0SU3fGKJw0EFo0Ql/sEatNJkPlPfwsZ8ksfQnNpNXLnPkrV5XSW6MbxbD8tfx9GESj7RoAxziUXkP6yuonY9IfXurWJsbeEFXJItQuVSk7PUs5dR2bg2pXq2AIPLBzWq0y/inx6XJhYdziPPsNFxq3Y2crtL5j4cPIeEDvNSY60MLOV3vuKGpiNtn3/8lyksdP4kp2lCTcXcb9kJJm8ZGPjzEsUx5jSmEOxj9XfR0Z/iuZTrmoh6O9yVpIIEpDU+oN4sTMC/VrlFfaFLx+EOr5GGogS8XNo1KEug47a1n4XjcOFR6I93ZOjolWZV5c2KRVmmT+NR9Th0vWESHkKLxafvvmowmo5B0aYSf9tH0fixOYTvsSESA6ixB4nUSHyVGuRVfoeKh7P024u5J7BT2y33jPpxDB6J9tNZCMGoWO2ZmubDmJGyQsuY7IuKp9XP6LZ9i0HyHhGH7JzQunAtrWz2a/wHPfAYHQ==AQAAAACAAABABgAA5wMAAA==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eJxjYBgFo2AUjIJRMApIBwAGQAABAQAAAACAAABABgAAFQAAAA==eJxjYBgFo2AUjIJRMApIBwAGQAABAQAAAACAAADAEgAA0gMAAA==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AQAAAACAAABABgAAXwEAAA==eJwtxVFEHAAAANBKkpzkJEmSJMlJkiRJkiRJkiQnSXKSJEmSJEmSJEmSZGYmmUmSJEmSJEkyMzOTzCRJkmT20Xs/LybqXazjHO8EB5zoJAed7BSnOs3pznCms5ztHOc6zyHnu8CFLnKxS1zqMpe7wpWucrVrXOs617vBjW5ys1vc6rDb3O4Od7rLEXe7x73uc78HPOghD3vEox7zuCc86SlPe8aznvO8F7zoJS97xate8wd/9Cd/9ro3/MVfvektb3vHu97zvg986CMf+8SnPvO5L3zpK1/7m7/7h3/6l3/7xrf+47++870f/OgnP/vFr37zP0dFvxfjWMc53gkOONFJDjrZKU51mtOd4UxnOds5znWeQ853gQtd5GKXuNRlLneFK13late41nWud4Mb3eRmt7jVYbe53R3udJcj7naPe93nfg940EMe9ohHPeZxT3jSU572jGc95/9sSVRSAQAAAACAAADIAAAADAAAAA==eJxjZh4eAADsVAJZ
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+ </AppendedData>
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+ </VTKFile>
CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/Grid.pvd ADDED
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1
+ <?xml version="1.0"?>
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+ <VTKFile type="Collection" version="0.1"
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+ byte_order="LittleEndian"
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+ compressor="vtkZLibDataCompressor">
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+ <Collection>
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+ <DataSet timestep="300000" group="" part="0"
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+ file="Grid/Grid_300000.pvtu"/>
8
+ </Collection>
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+ </VTKFile>
CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/Lambda.pvd ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <VTKFile type="Collection" version="0.1"
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+ byte_order="LittleEndian"
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+ compressor="vtkZLibDataCompressor">
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+ <Collection>
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+ <DataSet timestep="300000" group="" part="0"
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+ file="Lambda/Lambda_300000.pvtu"/>
8
+ </Collection>
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+ </VTKFile>
CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/Lambda/Lambda_0_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/Lambda/Lambda_10_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/Lambda/Lambda_11_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/Lambda/Lambda_12_300000.vtu ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
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+ <VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
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+ <UnstructuredGrid>
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+ <Piece NumberOfPoints="3434" NumberOfCells="3300" >
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+ <PointData>
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+ </PointData>
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+ <CellData>
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+ <DataArray type="Float64" Name="id" format="appended" RangeMin="109801" RangeMax="121612" offset="0" />
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+ <DataArray type="Float64" Name="xc" format="appended" RangeMin="-4.985" RangeMax="-2.0096" offset="5088" />
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+ <DataArray type="Float64" Name="yc" format="appended" RangeMin="4.024" RangeMax="4.985" offset="6360" />
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+ <DataArray type="Float64" Name="c_6[1]" format="appended" RangeMin="0.0035605" RangeMax="0.0036416" offset="6856" />
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+ <DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.11847" RangeMax="0.12117" offset="19800" />
13
+ </CellData>
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+ <Points>
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+ <DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="4.4777588543" RangeMax="7.0710678119" offset="28676" />
16
+ </Points>
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+ <Cells>
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+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="39972" />
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+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="63884" />
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+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="69720" />
21
+ </Cells>
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+ </Piece>
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+ </UnstructuredGrid>
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+ <AppendedData encoding="base64">
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WNnYOTi5uHl4+hm/RZ2RiZmFlY+fg5OLm4eVj+FZ9RiZmFlY2dg5OLm4eXj6Gpc/IxMzCysbOwcnF/TH/P4i3fOA=AQAAAACAAAAgZwAAqAMAAA==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eJzt2kErAwAcQPELrRw0xLZkEk0SVy5KO01NbNNykG1lyk5ToxRtF4WDlSlKhlBrceEikdhBTbY2jTblsgk5EIctEXH1/wjv9PsE7/a8riNPQK3s9CLiPw8zc1/ONkSUTNvGe7RWRJTM5xwb1x5ElKxydb/PBxBR0pSpnnTsIaKk26aIaRKIKOnPvdUmXxBRMtp3GtoqLUNEwcf0zsdACyJKKmzLxkojIkrq48OpBxciSjr6zI3rs4go6U13TPSHEFEyONh0oTxHRMl0LG/J3iOiZMGS3V4pKkdEQdVvKPWIKGnuWvXp9Igo6Y7NJO/siCjpt3galryIKBmN6HdHgogo+WRo/a47RkRJRUxjytwioqTOUry58IGIko7IVbNTU4GIgj7DyVRNOyJKrl2G4ykrIkr+bbxjiChZOBsK2xcRUVJl6P1U7yOipPlAO/2cQETJ0Y6Sm81XRJT8AVoWcfk=AQAAAACAAAAgZwAA2SUAAA==eJxlnXlYTmv3xx1kOIhMmToydURkFtGWg4iIiAxFhhKbiIiIiJyIiEwREZEoMovIFDmZOjLPMwcdER397vNe7+e3up73r309ep6972Gt7/qu71r3VtjCZVv5cbq2pVFOm2JjdS15V9WPSyfq2rF+3aZbjtG19L/98s8O0zWPnz56nO2raw2Kvfe+Nlz+7rJ5/fx5E3Rt0kWj0/E+cs0La2DuO0nX6rikfWo5XtdaL7MwHT1S1/rtjRwbOlrX3DtlVqnpJd8b5bX3yZjFujZ3iVmr33/XtVnrTKuvDNY158d+v94K0jVbvVU/F19dC78TYHV+uq59m23Zydtf14L62s9tN1XXrLMKjx+dpmtxPVMr91yiaz9FmTRO2KRrp32sRulLdS3sF5drv6j7Ni9319d4ma79E1eu/IE1ujbj7odjr9T187nC62cW6drG2PDw3RFqHgVPF+Srz30+6eUeztC1xc2dDlqo8Qy47d/2xgJdK1Vz+JVi6rnDguKO+M7WtYHXAn7LUuOfuaVqmTVzda1h68wm9QN0rbila3IZtR4TrxY/sEet89In/r9cmqJr14+HDtul7tu9u/1qbaGudV5bte7mFbrmVzdjlP1uXSt5OvfLl1Rdu1Hf4UGvfbrW5Uze+9fquv1gQOibE7o2pIXtzQnpurYgoXila4m65rk+fPuBWF0bZORmZL5N5pezLSJkkxrvjgqP3f9W6/f7G79Kf+hqPCUfT/8nWK4+5R94/aTW+ejv5pZzAnXtyuVgLXmyrjW7VZCY6iv7lXE3sMFRL9nPVStiIycou4lYG7No8ihd++t+Xvwfs3RtgpZq2X+D2t/8+6urqHFtDYs6vDlaPd/NetHUrbo2+J9hVers1LVn02JzFqnvue8KXXJ8g3z2e/t688dwXZv+9N2edyt1re8Qq+VBav5Bf91JsTyja6Mzda+Sp3Tt6d6gZbf361q5yeaT1ibrmklDx+xO6v73IqO2rAnTtYumbn9WmKdrr/LeBd1Rdnb5RlDLg8peNzfLtiipxrts53qfGW7qOf6tbBzd5fPdUYcf9FDzr3AutNsWNT9thM2E3jN17d3z3A3Xld2V/2ns17/n6FpgRK2G4cpOXrbMaG2t9j//oNGHY2rcu2zSm3dRdnRhQNuwUWt1LeVm3qlbyg5bfX+0tNRqmeeqH+4/V1yvazWu+ve5p/79lyNB/le36JrRYtNu2+Jk3gE3ci8+U9+784ffoNdF9rnHTPPBy2N0rXRQrQExu9Q8x8R/nqv+HhzQoG+wWrfjwQ3aB8yTcQ+Kil4eqOa1sMSE57fV/K22m72bNFDX/G1dF+Z1V3ZjNOXGKXUtExs7zs1e10IuhLda3EvX9iy2rtK9p67ljrR3bthXPu+8ZrQ7Zoiyy2oPnL8q3HjcK62srfKHXm0dktqr+W4dcjiv33xdu3kgbHyc+vdSfWxXOIeL3/3cyT6h5xpZr5IDbYIHKj89N7TVnLGRCi/MnO80XSvr+nNZz9dfA2Qe+H/f174176r7t99X7vMu5U/va14f0WCVrj1Yun7vyuW6Vs8/LitgmdjhZOv07r1ixb/cPrvXq5Gga6vzRtUop3Dj6pcxFX+o3z3vcL5Ra+U/BX5WjmOUXW8emfLSZY7Mz6pKjmdlhTdv62X1+3W54MuxE4WvL6txNxqX8HaK2tfhySGzT0XJ98G5Q5n5V24ov58337zLonBZL3DkfF3XiybKH9+8/7DsTzXPC08DqqUq/KySGDFptcKR2e62nnYKX6Lmxe8brfx63Kv8JUeG6lrl2ckJ3QfpWt1KL/vcHij7xX6bHAwfuU59Pys9xCnRT9ce9k/9bqfwaO+7d2ueKnupdTFgaM46XUvbXqZamrKz0FFWM/3VujTrcbih53ZdO1wsZ0XDPYJbry0z7Zsqf5uWZPw2WtlZWnunzWYKNyqmhg2IVvjf9GF+zGllH0cG23s1U7jRYnWDsl4qjnSpP/zQFw9l973TizVX4/G0um5tMlnWvcNO4xI7QmXfbJ68PvhN2XtEqeEFlZXdXP/Ly+yb2udtC9af27BF/It9t40xMYld+r9+yTqzb5s2RGzcsVr8zKmRU6Z1pOBJViv7M/0VXi3t3ypykvLLX933ftPXyXqBs+wTdtKzuPdfL9R8gst537o/QtdOlZx0L9NF4inX9LTI9v6aijvDHPuUaqfW9UvAi93q89E6Y/fnOCh7Ox9mGzlY1xZ91//OVnhU+N+4DY7ZD7INcFB2UmxMq3HDFZ4XH9522pBFEl9WXA/seCZA8Jx4Wjs8Oi5ErYPb4tjd09T+W77MW3nOW/bj0wazkjPVc1ZeCup5co7YK/Zfppvdpj4KZxZOsRg+d43YA3GXuIk9+OQUbk/yVP4XbmnsOkDX2jk6TSnXR9cOWnlEPVLzLb8qPrh/L8GfVSPSr9VWnz9623Vt7KhwcvSx7A5qvmesnffUVPG+8iu9/ivlT4mNMxxt1H403BIac1bZ5bdXT5PK7RY7zfnT1+H9Zl07uceo9NkY2b8XE+NeBG+WfeV72A84gl2Ar8zXq9/hCm7q7/vv5SbfDRXewj6N9kj+OFL5Rfk23Y52U78/UOn6NKvtgvf8O8+/NMd02J7Dyp+iQg9dOalrI56N6VzpgOA+cR08g+90Htt2RL9pwqdUUIieqfy698nwXisUf7vZIyu3uLKjab+5+H9T6xrYwCPxdX81v92mL4PchdcNHJOaaeUiuAKfwy46TLe2H6z8eHVo3Fav8WLfYxpmd67gJ7wGnpTQ4nynTqsFB1k3/Dvp2YdtD5V91lyzfu0SZV/dKnsql1bxf651k74Kx45X9U672Vvtxy8POvylPnet5XE2V+HfIQ87t5ZqvDntsit+V/7jlWiWPbarrn0x8951uYOK37kF42M7Kpzskv31YyeFXyEpS63b6pr5zXLrFqnPo85VTZii/OxHRqS53kzXYj7lT92n8DErIi7MfbDg08szxgrBhDeYbor6fZnyo4Pra1UImSZx37vqXTej2cKHDfH5ifGzQS+U3SecLnd+rcI/uyZu8d+HCf713xHlt9BLeGy0d/Ltweo5Z391OVZtpnxmnfgMzwxp57iziYoX992OvevqJ1fGgx+H5voWv672bXi3DCMztY5tQywbeSgef2tK8pm+6vm1hqU+bavs1vy388ZNpghvYj7wIHgFV/y7Y0eXZSVUfHH4I7TZWheJO+xT4xRTZfnCI8CJ74llfhxaKX4G3mL3bXKfri++TuL8ix+vpzzwkXl1auW6oVDtW3bA3pQBowU3wVOrqXZN69qo/KaT2+xX7XXtRE5YheDWulbNJqfU+y4SJxt9/eB/ZaTMH5wBX1NnWXSfruz1S2rxxydV/K6e42f3KELi/brnXm1KKD92draOnq381tHbwm+xmkfVR74tni0TPCSug8P1bTPqWEwXnD1ytuBuVqTEPfj/2nrdXrqqvKB5QNTzpDTlzwPiG0ScV3Hl4dMLVU8IftR9625TT31v8cYyVhkH1fOWmWgp6vexqf6z/joivNliXVhiWpKujfzPg9T+rjBttiFS/BWcxK9ZnymLrOoMcNW1/8BMkbgG/3hU/bHDG3f5Xvs5Vq2HKfwY2uf8F3Nl775pZbK2TxJ7BsfBUfgyOAdeEm9iVkXuilXj+vunu4tN1bhdKrh+aRAj+Ah+40+/fshdmDFG8iDsBh7cPNr8u4/isY/vGEVG9RC7rbRg76ZeCieTZrS17uysayXeB/w40F/yhBQv295thwhu2nR1DiqtvndlXewcT/X5pzz/D4edFN+r7Xn8+SDhQ4lHjW9GjpH4zXjAcfg0cTnW7G7XAm+Jf3wfHMSv4H3gDd9fNzMh1WOK4Bi44poR2P9ymPCo2Zfz/nykeN6G+z5dC+NVvJ61/t42ZSczKmbN6aCuN1/4NM2LErzZ4Lv38jBlt7852S3+TeHAH4Wjfiqu9m3NsZAxh0KUn18pOHs+WHASngnOEzf4XuMG13vUmi88crmx2/vqar97N3M82XqF8Gj2HzvhuTu7pJl3+zcuzo6+EaXibJ20QO+byn/+k4ZHi50T94nH5E/kG4yXfAK/X7s/dOr+JWJnLUo8mPtzkTwP/gBfhpeMdzhWe1CUrDd5DnkF+33CwWFBI2+xE/AY/ox+gP4BXmDnxH+uC+wc1jefJXkquAKvRT+YXXhzXctjyi5WG7c8ovKg6aaZkzvvVfl8n+S6fuq6a0Lsh+V7hI+0bp7W1zVJ1o884Ux0uQYndkpeOic9/9k99ZxrTbpddUqQ7/Wv5vLq143KDuaZ9Vq1UfZz/e6weXuXyXrDn8gDyJOIC+AScQEcNYxbrOf3Lk6hVd0l/sJjwOE/E8JnbA0SewTfeS76CDwI/EDf+XuVeeVpPqKf4Gf4K/E/v6fjrBoKJ50ORQxe6iHxmDjKfMlL0LPQBVJfPjpa44joKeSzyTWyxrXYIryVfYCn4h/EtZYXil86qMZ3qeLwZ2XVentMTrjpvUB4DuuGjgeOwguZF/P+EFsrb7an8Ev0g6m9nb1/dBaebxyWsMLJSXQk+BT6Hroaefi/XjRio+SlZotiDswPEfsgjyNvI26hM/D3DybZE+pGiT6FDoOf8nf8lbhCPMTusGv2BT2m0/UP1z7tFP8CT82TghdmKj95tDD6RPgq0SPBydanjHKSA0WPY9/BrczSHrlGoYI/Q04HeVxYLjjl0LlbrG2o5KPYj0XTLJtf5ohegt2i6xI/sFe+T76IH7HP6MTkn67D0+40HizxEPtlH7Ejrtucj5XsEyJxHb4BDuwzzxzSJlrytstdbXe4qfXvGlrLNmqt6EeME/9CF/qYnX/o0lzRu9Bl4W/gIVf0QfQL8hHWG36LXhIwzmZg13Fir/gPeiH4cWdj5Kr1i4Xf1p0be3rOEvFD379fRHwuonNhT+ie6ETcF30SHWFd98yCiirODxmY/qrhMOFV8FZ4FeMhXwAPiRfEEXQA/MkQh8lv0I/BWfgJ/kZ8Ic9GL0LHrFbV+VObXYJXfO9T2ZyA2huEz7E+6GDsF8/FfskLyXOqxUUGRkwXPMP/4A3Yw9cFFs0nTpX9X2LhnF5/kejNQccLcnPihM+Dq/Cidm9e7Pyh7NXa7lgr93jRDfkeevzQo8F6+iq5L34LvrDf6CbYN+u9+58Xs97OFHugLoH+PGJG/PmJQf+r/5CfYH/4I/wPXgFPx57xe3QM6h98n7x4/2Sbzh1UvjSvytiMx26C+yXrualUQPg9vCXe6NnED+r+PyZYDxk5V/Bqz+fXoS8DZV7oaMQv8j78888HeodPG4QvoAPCD9Gn4BfogaxHg0nx96dHSL0HnMBu8GfyM+N8r1If5wvPJD5Gngl2PTZfdDDGo7f/FwEF59nvwyvNas+fKXoreRP5A35N/oTfkw/g1+wHOjN1E/TrUkfzjP4+rdZtVEyluEyVLyXnV/lwTj3nt+R2gSpftJofeSvlhPBd8ip0LXjzu4F7TWbslnnDa1lPdFT84eXmkPhrij82WRKRceSI5Knwk/rxISsvxgtfxC+q1HF6ahMn6wbOEx/g301qZw+sHiJ2gH9GvR9jUXqr+Dd5JPiBXkH9gX0Gt7DXp/bppu2DRE+BH23onPVzeTfhK+R1F5LWu0xykHoJcRAeiD8Z1h2wS3BpzMqI/ft2SFwg34GnYc/MC96DXWKP8AnsjjznYkhVpyTF1+9/G9SoXbriG5b2t4ceVXlWRPjxEymil8Jr4DnwGXQDeCe8Bh5GntPxzrv0PPX9W5WdvtsfljyB+h91VfQ/9geeTbxEr0cHQtdHXwFfGSfxmnUr3GRca996iSuME3/Bb+Ex+Bd4Sv7JuOBb8Bb0Cdaf+Rj6EXaJDg+fgJeR/4FnJZZXbbdzq8QN/O1ESvH8CxuFB4Ezi8ZbqtRc/CXd03ry+BWCG+QZW18XzEvoo2uLT0V0WeAk8RK9LLrt9RplFO4YPQ8sn6T4xICJx0626Cf2/fOGuGmDlH3HR1l+6dNF4cJMG4sWXVW+/yDYJKa38Ebqx/gVvAIcBd/hq+Rr1APgl/BK8lz2B50bHkl+AK4Tv9Gb4c3gCjo7dsg+okPze+py7BN2if2A5/ydOAZfJ1+Bf1GXq1fmzdBshfPd/wypu7Gf5J/wFvg/dSn8AF0UOyZfYd/hazwXvWNlB9tUz2SJB+T18Ex+D2/DvsCnPiMt5y9Q338zPKHE7B1id8Rl8InngjfgRHivtlt9dglfYL7k3/Bo4j9X+Ad8hnx7fo9uS1v5yzoRf4i/+CP4yP6iz8Bn+Hd4MfeDr2CH6GbkNd6PCqJS3KU/hrozdb5KH32qvgsR3okuQd7MOtD/Qp6E7oAdcKV+gn1TVyd+obtNPVLu/pap4mfoS/B26gD4G+NlvXkOcZ44y/rA2+DJ/J31ZH/Iu1gHeOypqZYuU4qsN3we+6FPg7iOjkgc5vvkHdUnHL7QeYT0odyzuNs011X5mVPG+yr9pY8BvRZdf1bT4THvFf45Lt27uIuma09iLB/+1lztw8UIy1m2Ul8s/Mfv8fFe6v7x0aN8eovuSp0Eu0XPpZ5NPxA8nnyf+Ai/YN+o9xBX0Je40g9FnkZ9BnxEl367v+rtBUPFr04X+L65OFjWpapfylF7Zb//2DivqeQp+g11IHRW+AM4yxV+SR6Ef9tdyn34vgg+EKfBQfyT/SdPYb7wYPwFHMYfWG90efqL0MvJO9oMcBxdsafiUR/zZp9wlXrnneY5Zl8GSJzDHohb8Gz8nn1Bz0Pfwn/h3/gD8Y6+AvyH/AI8hadiD+S/4CX6FHZDPkP8Ir+EX8EPmvZNqT5ui+AD+jf9RPBO1pu8Bj6D38OHwIdxdXJ6l1W45R9v8m3dLNEL6DuBL59761/6tIfwYfwC/yVuES+JU9yP+j91QngAeiP1aPwGnObKOMhrwSGeT35O3Ca+g0vg2LLqrg9rhQv/pr6EXmMYl6l7wGfaHi7zInGe6E/cj/hN/GF/+D3fhydRR4fvwB/AcfCR9YTvwXvhI+wr+8d84DXEB/IJPjM/xotdkT+hv2BXPI/xcB/yFfCAPOLrx0exFXeIvgefp06HLgOvA/fhX/A6xgfPp65K/o/OC78GT4kn8FPqYeT/rDf7gZ3SL/P/uv9/5836g9PsN3wEfoUew33BE/pDwDfwC52PPijqE3yG/6LPMS90MfIa+k6pA6I3wGfASfo3qT+Bs/8/jvxcPW2A9EfQnwOPJZ+gPwR/gcehe7Af+Cf6rWFdnToV/Yvoh/BJ8PDo1zubzJMkjwZHqS9xpX6FnkFfEFdwlvgGTzYt71KsZaLYMTod+00dHxwBZ8kH0I3BU/gRejpxmTh1eUvM5HH9JA+jPkQdD1zALsFL9Dv2gevzS+X2LS/Sb0FcI96NbJNVr9oE4YfsG7ojdQn8B3unTkK+ih+ib9JvRj5NXEeXAFf5Hn6OXtLj57GP3qhxhe2LGj5brUPZ7ODG8SNE34bHoCuS/8Mv4DP8Hb/GP+C//Dt5OXjH+Fhv1gm/hXey7uwD64Yf3R6fctVxgvgh8ZL9IQ8gf8Yu4EXwPnQr6jqG9WT0OPCA9YCHEzeoY1JHA4fJF+EN+A18A90O/8Ev6Ld+uzzsbMYZtV6lsiK7nhV9qaKHxe8rjkpfCnyRPJI6AboJ8RneCR6AIwe2mhaG+kr9ivwJHk6fFnoG/UH0oxvq4sRj+h6wX+oQ9JkyTtYHnIGnoZfSv0f9kXoKeE28Zz7ks+i55BnYAXoBdgbvpD8A3CQPI77jx6wX5zTQg6ibkN+ix5MXM376PPjMPmFn6G/YE/ZF/wT6FHoD+IG9ocugP3A/nosudrDMvwAgOMNz2A/uB56jm8FL0E2oJ9Z7OqqH2WnlN+Oji++6KOcsklwSai08IvuJfaOPrrC32TcuUXg9z0U3Reekjkl9C/4FT4P3MC7WFf5vWAfBfsEX8IH8Hd0DO3D85vPPEz+J3/Rrga/4Abo69oI9Ea+oF6KDgtP8HVyivoQuRL6HHgF/hCfDD8GXST4x+RuPSV0Av0LXpr8F/8FfyLPwY+yLeM75EvRr6v3YFXyNfIh4B/6UMfG4WzBd8lH6utF1mA+6Bn088E/4Anwf/IYPkYfAm9FB0HvhEfBfPrMu7CPrSzwjn6Pez3jhvcQ37JT6M+uGf4GD2Cv7gr/ye/JRdIBh70ZZV1Xr/eBkwJTHu6VviL4g7g8fACfGDk4pHL5c8IX6HH4AHwSn8RPWDb2B8ZJ/gmvkZdRbqFMwXuoF5EXkT/Br+qTpY7U4UfXMrJ6iGxF/4FszW7ut/NRL9CR0dfgNdkGcxt94LvyD52NP4BjrW7tgSB3Lg9LXWaWfVVyowre7xV1MO56S/s+E0XE/whRfDtlm9MuVZPEHeBO8kueCL9gp9TrwinWGx4NL6N30SX4e0s3dfIDob1zpe+L32Bdxgb4a+uzgB/A3/AK9Fz/iyn7j3+jU3H/LOb+JuSm6ll3L8V33AzIf+D16EH5mGMfhJ8RH6j3U21hn8gl0H/CI/mb8gPkb8gj4MziDLoX+hJ+g34Bf4CHjx2+Ir/gxfJI8inoVeEe+Bu7ib/Q7oOvAi6jn0h9I/zN1O+pj4D/x1tjK4UKXIs8Hz8BL9p11h++gu3El/jA/7Jd1ZL3QhRgXeAEeMi76oyNb2l12L+JH8Fl0PM6xYQdlZ5iN3JgoeAzvRMe4d95/9PMdgpuc++RKfsU+E//RYYhPxHV0VOYBHqKzUx+nrvokMObS71GC+4yLOIi+Bo8k/pOXEE/IqwzP46G700/d3Me+Q+1OCj8+F45cY6Xwt8QXp92tdK2FZzcH0y669su9MmG/F+nPd552OKlNb9EZ4PngCnoGuIVuAE4xf/gK+Sj9YsR/w/yD/aLOgr/T30heCR7A59kPxkO9AhxBL8Bu4UfYJTg/x9XOt+MkyQ/QQzmPRV5JPgqvR8ehTkBf5a6MMkc2Dpf4RV4EPyQ/QI/iPBrnbupnGu8IVvuz6VvemAPd5NwGujrjg5fQp0S/A/6B/k0eiT5L/EEfA+fQ51hP5k3+z5V8nzwanGId2QfmRx8TeTn+Q/2G/It8C39Dr0D/Q+fDbngu92Xc9FthT+gw1DdYP+yUfWa/6Kvi3BN9Qpxvwb/oT4FnUK+n35Z/N6vxzO6+s4oXgSmxNg6yn+j46ILo8uiT6DDEd/JG+CXxGB2W+AufApfIF9hv+v+xS/pouLrVfNn2alfFVzY1+DTCUfqkyV/RUfBP6gXEAeIVvAa/QH/DjuF13ytMOpdur/DM8nHNnI4qDvfKfvSyicLhCd1aGDdX9lr2ff+LjtK3hR/CY/Bz+nh5Pn4OblJPpd8E/R/7oQ5tqOOQd4H38EX4JLoDdsx9sW/Os9PfBG7Sj0MdgHyQ+gr+xHk1+k/pA+Sc5sMnxRdt6CrnwLA3zvPRd0n9Ef2Meg/4he6Jv2K/8MfU8hP+uNpP+DX2QbxgP/U1FsWGqusXZ4eJdVxlv4hX4Aj1Y/QR7IS6H3YPXuHP3AecoU7GeSdwnn0in2EfiR+GfQ/YC/kauh5xmrwLfRs9HF2EfJx6DfZJ/Zf1Iy7/5WvbxqqH1I9fHzO5vFitV+n7QbX2uIkuTf0Au+I8D/o+PJA+G/Qg9A1wlLya82GcW8K+2L/xceZPR/X43zjHurIu6Bn4BboJugt9pOhD5H3wL+oK9Nfgt+AUPAi7ZZzEFfo2WBf4BudwiSf4If4HrwVP4dvwNnQOdAXyG+wCPgGfBX/ADXgJdS7iEro/f6ceDr+i/kBcgc/h79Rv6Stbcjiyb5D6XZM9tR5MdS5iX/+NH+wf/TPEQfx3xdi09LrdJX9G/58xqW2PHkX6w+ib4DN1MfabOHJtSfy6ocOE5/DeA/RT9pN6CPkOfkpcpx8Kf8P/yKPQh8m30G+udLRLGbRNzm3u9It5vCpe8gT2DfugPkC/KfGJuMaV/lL8AP4NP6AOx/ta0Pfg79Rz0F3o+6BuDN/ld8RN3sODbkA+y/szOEdG3nt1rHnIlnTJkx4fCgy6v1feb4JuzHqRT8LH6askjlJ/hU+D4+A35ynRzYkr4B36OrhBvgxvgbcSZ3ku/VXwM8aB/kfcxZ6Ju8QF4h14h5+Be5yTAv+Gmbz5LbOH2C/8HPwmHwZHqT/i9+Rv4Aa4B64Q58kD+Tt6Nr/jfvBd+oCoB6Fr0N9CPQndEN5Pvh+drTt/3yO/J+9Gx6O/jfoacZ9xEw/Jh9GnWG/swfC9BIb7Rn8sfIa8hbjM+hrW5Tg3TL5B/Dc898pn/Jr74Ef8jrjJ/jE++mPR3bEzeB06KXZLXZk+BeKMIf/DD+B36NHYOX0V6DnEc+ZL3IAPch/8FTsy1G3hIdRD6IejHxd+gB5BfZD6Jn0j6GbUCzpUz5jpeELXapZ0NW6W/L/na8gzDM9vgrvMj/4T9F/iP7oxOE894YtV6uDRJ9X4Uvwjvl5S+DA0rtrqM4Lv9H1Q5wBPwDPqitQh0N/gR1yJK+iC6BnwKngAuEL+yWd4EetCvYk4xX3wK/AP3sH6oDujnxr2u7Hf3Jf5o1+h+zNf8IX5wLPgjeiX9FPA6/AL+oPQp/gMrmP/vHeD/J08C7zB3rliv9QZWB/Wgzob+Ip9oRNyDgb7Rk82PLfQ9Vh+wfMDulbs2rs7hQfV/k4znXowQ+UNpz4UM8rUtR67C2s8OC52njgsvnxoitgZdcr1NR3yBpyW8zbHP9xPqJMiuit8ln3A/9CbWXfsHD/ADtDHsEPiPv2f6KvcBxyCX4F/8HH8EN0EHRe9nbwdfCTugpPgL/ob+ghxlniF3Rq+twfeBe/hufA9zhuAo4bvteGcZdzt4tHbBgo/Q8dBn2Le8A1wn3HCR+HP5Mnom+gb8FjmDU8nTyR/hMfgB8QT1pn6CHEOvyVeYxe8r8Q7OOqPnUX6pdhvvs/68f4E9G74LnbNec+CRy9Ollb387jn1bv8YbHf8lsLrV9e0bWBXdoe8Tsu7zWEP8IvwU36XAx1ROpg2Cf1HfqQ+T3xBnzBj7FfcA5/p27A99Al6RMFJ8Br1hU/oO4C7pDngWvYBXoP8RrdDNxmvamPt2yX2mXoHuFf+D11LPg2dQtwn3lTh0Dnht8xPsNzyeQ/jIP70TdDvZb1oG4FH4IvYIfgL/chPydusI7/H3//a+fwaPI1+hTJ48jDDc9Vkk+Rf4JP9EPDq8Ejw/NfrBPfI+9GN+N9AfQJ0geCX9G3iO5A3MMf4bHoS+jR8GDyW/CEfeL55G3oDYybcRK3wFfsEpxFx6D/FN0KnOW56HLgIbhjeK4SvkjfHHkqeRs8n3GyHsRHw/oyvIG4RT8IcR5cpH5ueP6YPBB/gx9RxwI34UH4P3yG5zI++nngd/gJ+0vdA97GPpF/kx9QP4Kf0OfFOQX0efsXQSW2qWup3TFDRnQWPfVZqZejnxQ5L8f+MF/iGDoJ58jhhcRD/I04TV7A+IirzIP8CzyEd1E34Nwg7z2i/s+4iXf0vfL+UOyQ+AefpS5GXMNfmB/rQN0RHZY4yfjgBfgD8RieCP5it9ShyUuoa/Dv2Af8Av3NsA+LfSevwn/BFfyC/QOvWJ/a5o9bPO6j8pzGD+o/7yn6HLoa7+8odyWk3fZR0u9N3Qi+gt6Ansb8Dc9loW8TF+CDxFP4MnkjvBy7gneA/8RR4h68i/wFPY28D77xfEfwhuxDKi/THCPqFTlvR/5LXyH9qMQjdCr0MngkvwcXmC9xBn3UsN8LPCT/RR8jHsET0TXha+jB6A/EOXCDdSFPpr+LfmTiEfVq6mx8DxyEv4LD3A+/pk8L3sI5C3QS6hzoT+iu6AX4IzhCXOC8GXyW9cCe4cHEf+ZFnkUfFudDyLuJn/AB+BX5ITqs4fuisQt4juH5UXAe/yTOk4/SH4E9sv7oL8Q99oM+LvqeqOMSf8BTdGR4puH7Lrk/8Rndnrop/JU8mj4deBz1Hngv/ou9kJfwfOIrfa3krfCUKb+ed+m+Q/yfOirjwf6IA+gC4Bt4y3ob9onwO/Qr4hI4D37w3iX6BNBRiFv04dIfRr7OvtM/wfPgB/BFdDnyS/gTuIDuwHPh4+A9eIU+xXuMiBOMr6dvg7Fh20Tvxs7gQfT1wJvgKYbxzLDvlO8Tz+BT3Jf4zfzg3/Bz+Ap6PPNCjyO/Q/8CR4gD7Au4hs5LfyJ9h+SD5Hebr/i6f0kS/8ZeDXkh+8a/M2/4Cee+sEv0UXCG9/FR/0Sn4u/YK+sBzvB9eBn7Af/Hbok3+AO/gw9Sz0B/4RwT8Y08jvyZv8MfwW/4L33m/J38gXWh744+OvCQuiH/Tj8u/s85f97viJ7Kc7Fn7If7YSf8nfhC/oqexPuc6JvjPTG8J43+fvo98Rv+nbze8P8xgMfAd9BLqK/ACw3f9we/4/vELeI0eG7IK+nvJr+HN/F3+gS4P3wAfg4/pn5K/w683qTn9defbRRu3Qqtvtxe+nIYB3HMsC/AsL8GfzQ8p09cgScQx7Bf7Ir6DOcp6FNElyFO0DeIXaG7o6+zTvBl/IJ4YpivUb+kv5X4yjrSt7Iv2eTJiiLnZNDl4C28h5ZzQPCWBVlhDcO6y/ug6Sugr433Rj+9XmbrqiJ9JPQhoSfAt8lDyIuoo8IjGR/xA78B98gP2U/qE/AG6orwWfJScAreA86wP6vHmIUnXlN+tC+vzj83VL75/lZqu6u61uiGl2e1DF0b2tjuidcFxYM9Y0uvOyl90P+qpdEX5Drc3P7j6Msqz8l6/bT8Wekr35EYuOZFmlq3sk6Ve6v7jbrp41bmuPSf8P9y8P5y3kPVM7b4r3dOiV71I+d1Zon98n3OkfHeIJ738NOQ1q0uyJXxx8cFbXtyVuqKxDPWkfhEXRNdnn4P4lDwi/tnGp3XtUV/Pn1g9oeK04dzjX9S63WiQeqkier6f0BXZ8A=AQAAAACAAAAgZwAA7xkAAA==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BAAAAACAAACAHAAAohUAAJoVAACcFQAAFgUAAA==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eJztwTENAAAAw6C7/g3PxwIUAADAjwE0gnQF
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CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/Lambda/Lambda_13_300000.vtu ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ <?xml version="1.0"?>
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+ <UnstructuredGrid>
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+ <Piece NumberOfPoints="3434" NumberOfCells="3300" >
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+ <PointData>
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+ </PointData>
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+ <CellData>
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+ <DataArray type="Float64" Name="xc" format="appended" RangeMin="-1.9795" RangeMax="0.9959" offset="5096" />
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+ <DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.11779" RangeMax="0.12118" offset="19848" />
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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="40428" />
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+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="64340" />
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+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="70176" />
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+ </Cells>
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+ </Piece>
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+ </UnstructuredGrid>
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+ <AppendedData encoding="base64">
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_AQAAAACAAAAgZwAA2w4AAA==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AQAAAACAAAAgZwAA4QMAAA==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eJzt2kErAwAcQPELrRw0xLZkEk0SVy5KO01NbNNykG1lyk5ToxRtF4WDlSlKhlBrceEikdhBTbY2jTblsgk5EIctEXH1/wjv9PsE7/a8riNPQK3s9CLiPw8zc1/ONkSUTNvGe7RWRJTM5xwb1x5ElKxydb/PBxBR0pSpnnTsIaKk26aIaRKIKOnPvdUmXxBRMtp3GtoqLUNEwcf0zsdACyJKKmzLxkojIkrq48OpBxciSjr6zI3rs4go6U13TPSHEFEyONh0oTxHRMl0LG/J3iOiZMGS3V4pKkdEQdVvKPWIKGnuWvXp9Igo6Y7NJO/siCjpt3galryIKBmN6HdHgogo+WRo/a47RkRJRUxjytwioqTOUry58IGIko7IVbNTU4GIgj7DyVRNOyJKrl2G4ykrIkr+bbxjiChZOBsK2xcRUVJl6P1U7yOipPlAO/2cQETJ0Y6Sm81XRJT8AVoWcfk=AQAAAACAAAAgZwAAviUAAA==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AQAAAACAAAAgZwAAVhoAAA==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AgAAAACAAAD4IAAADhoAAL0HAAA=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BAAAAACAAACAHAAAohUAAJoVAACcFQAAFgUAAA==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CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/Lambda/Lambda_14_300000.vtu ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
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+ <VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
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+ <UnstructuredGrid>
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+ <Piece NumberOfPoints="3434" NumberOfCells="3300" >
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+ <PointData>
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+ </PointData>
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+ <CellData>
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+ <DataArray type="Float64" Name="id" format="appended" RangeMin="110001" RangeMax="121812" offset="0" />
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+ <DataArray type="Float64" Name="xc" format="appended" RangeMin="1.026" RangeMax="4.0014" offset="5080" />
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+ <DataArray type="Float64" Name="yc" format="appended" RangeMin="4.024" RangeMax="4.985" offset="6400" />
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+ <DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.063484" RangeMax="0.12165" offset="22972" />
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+ </CellData>
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+ <Points>
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+ <DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="4.1345047654" RangeMax="6.4133780525" offset="35192" />
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+ </Points>
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+ <Cells>
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+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="47284" />
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+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="71196" />
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+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="77032" />
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+ </Cells>
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+ </Piece>
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+ </UnstructuredGrid>
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+ <AppendedData encoding="base64">
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zsLKxc3BycfPw8jF8hz4jEzMLKxs7BycXNw8vH8N36jMyMbOwsrFzcHJx8/DyMXyXPiMT80/4/wFi7RoHAQAAAACAAAAgZwAAzAMAAA==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eJzt2kErAwAcQPELrRw0xLZkEk0SVy5KO01NbNNykG1lyk5ToxRtF4WDlSlKhlBrceEikdhBTbY2jTblsgk5EIctEXH1/wjv9PsE7/a8riNPQK3s9CLiPw8zc1/ONkSUTNvGe7RWRJTM5xwb1x5ElKxydb/PBxBR0pSpnnTsIaKk26aIaRKIKOnPvdUmXxBRMtp3GtoqLUNEwcf0zsdACyJKKmzLxkojIkrq48OpBxciSjr6zI3rs4go6U13TPSHEFEyONh0oTxHRMl0LG/J3iOiZMGS3V4pKkdEQdVvKPWIKGnuWvXp9Igo6Y7NJO/siCjpt3galryIKBmN6HdHgogo+WRo/a47RkRJRUxjytwioqTOUry58IGIko7IVbNTU4GIgj7DyVRNOyJKrl2G4ykrIkr+bbxjiChZOBsK2xcRUVJl6P1U7yOipPlAO/2cQETJ0Y6Sm81XRJT8AVoWcfk=AQAAAACAAAAgZwAABi8AAA==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AQAAAACAAAAgZwAAuiMAAA==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AgAAAACAAAD4IAAAZRsAAPEHAAA=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BAAAAACAAACAHAAAohUAAJoVAACcFQAAFgUAAA==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CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/Lambda/Lambda_15_300000.vtu ADDED
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_AQAAAACAAAAQRAAABgoAAA==eJw11zfUuL9f1+FMFlT8ozMSVBCdMlhoamZFiYK6RuyInox0AuhMFFEsQyYLtqizGrA7ZbSABMGZKDaK5/g753s90zW8h9fnZLnPHUII5Sd+Ln9GqGzsHJxc3Dy8fAz/9ZOfY2RiZmFlY+fg5OLm4eVj+El9RiZmFlY2dg5OLm4eXj6Gn9JnZGJmYWVj5+Dk4ubh5WP4b/qMTMwsrB/7/7WzsLKxc3BycfPw8jH8rPsYmZhZWNnYOTi5uHl4+Rh+Tp+RiZmFlY2dg5OLm4eXj+Hn9RmZmFlY2dg5OLm4eXj5GH5Bn5GJ+WP/lT//aWdiZmFlY+fg5OLm4eXjZw/zqc/IxMzCysbOwcnFzcPLx/AF+oxMzCysbOwcnFzcPLx8DL9Kn5GJmYWVjZ2Dk4ubh5eP4VfrM/J9if1L7YxMzCysbOwcnFzcPLx8DL9Bn5GJmYWVjZ2Dk4ubh5eP4cv0GZmYWVjZ2Dk4ubh5ePkYfqM+IxMzCysbOwcnFzcPLx/Db7J/tZ2P4be7j5GJmYWVjZ2Dk4ubh5eP4XfoMzIxs7CysXNwcnHz8PIx/E59RiZmFlY2dg5OLm4eXj5+9gH51GdkYmZhZWPn4OTi5uH92L/OzsPLx/D17mNkYmZhZWPn4OTi5uHlY/gD+oxMzCysbOwcnFzcPLx8DH9Qn5GJmYWVjZ2Dk4ubh5eP4Q/pMzIxs7CysXNwcnF/7N9o5+Lm4eVj+NPuY2RiZmFlY+fg5OLm4eVj+CZ9RiZmFlY2dg5OLm4eXj6GP6PPyMTMwsrGzsHJxc3Dy8fwZ/UZmZhZWNnYOTg/9u+2c3BycfPw8jF8j/sYmZhZWNnYOTi5uHl4+Ri+V5+RiZmFlY2dg5OLm4eXj+HP6TMyMbOwsrFzcHJx8/DyMfx5fUYmZhZWNvaP/QftbOwcnFzcPLx8DH/VfYxMzCysbOwcnFzcPLx8DH9Nn5GJmYWVjZ2Dk4ubh5eP4a/rMzIxs7CysXNwcnHz8PIx/A19RiZmFtaP/R/aWVjZ2Dk4ubh5ePn42Y/yp/sYmZhZWNnYOTi5uHl4+Rj+kT4jEzMLKxs7BycXNw8vH8M/1mdkYmZhZWPn4OTi5uHlY/gn+oxMzB/7v7YzMbOwsrFzcHJx8/DyMfwbfUYmZhZWNnYOTi5uHl4+hn+rz8jEzMLKxs7BycXNw8vH8O/0GZmYWVjZ2Dk4ubh5ePkY/r0+I9+P2n/MzsjEzMLKxs7BycXNw8vH8F/0GZmYWVjZ2Dk4ubh5ePkYflyfkYmZhZWNnYOTi5uHl4/h6jMyMbOwsrFzcHJx8/DyMfyE/WfsfAz/032MTMwsrGzsHJxc3Dy8fAz/S5+RiZmFlY2dg5OLm4eXj+F/6zMyMbOwsrFzcHJx8/DyMfwffUYmZhZWNnYOTi5uHt6P/fN+4dPOw8vH8Ms++TlGJmYWVjZ2Dk4ubh5ePoZfrs/IxMzCysbOwcnFzcPLx/Ar9BmZmFlY2dg5OLm4eXj5GD5fn5GJmYWVjZ2Dk4v7Y/9iOxc3Dy8fw691HyMTMwsrGzsHJxc3Dy8fw6/TZ2RiZmFlY+fg5OLm4eVj+PX6jEzMLKxs7BycXNw8vHwMX6LPyMTMwsrGzsH5sX+5nYOTi5uHl4/hK9zHyMTMwsrGzsHJxc3Dy8fwlfqMTMwsrGzsHJxc3Dy8fAxfpc/IxMzCysbOwcnFzcPLx/DV+oxMzCysbOwf+9fa2dg5OLm4eXj5GIr7GJmYWVjZ2Dk4ubh5ePkYfp8+IxMzCysbOwcnFzcPLx/D79dnZGJmYWVj5+Dk4ubh5WP4On1GJmYW1o/9j9tZWNnYOTi5uHl4+Rj+hPsYmZhZWNnYOTi5uHl4+Rj+pD4jEzMLKxs7BycXNw8vH8Of0mdkYmZhZWPn4OTi5uHlY/hGfUYm5o/9O+xMzCysbOwcnFzcPLx8DN+pz8jEzMLKxs7BycXNw8vH8F36jEzMLKxs7BycXNw8vHwMXZ+RiZmFlY2dg5OLm4eXj+G79Rn5vt/+l+yMTMwsrGzsHJxc3Dy8fAw/oM/IxMzCysbOwcnFzcPLx/CX9RmZmFlY2dg5OLm4eXj5GP6KPiMTMwsrGzsHJxc3Dy8fww/af8jOx/B33cfIxMzCysbOwcnFzcPLx/D39BmZmFlY2dg5OLm4eXj5GP6+PiMTMwsrGzsHJxc3Dy8fwz/QZ2RiZmFlY+fg5OLm4f3Yf9jOw8vH8CPuY2RiZmFlY+fg5OLm4eVj+Bf6jEzMLKxs7BycXNw8vHwM/1KfkYmZhZWNnYOTi5uHl4/hX+kzMjGzsLKxc3BycX/s/8HOxc3Dy8fwH93HyMTMwsrGzsHJxc3Dy8fwn/QZmZhZWNnYOTi5uHl4+Rj+sz4jEzMLKxs7BycXNw8vH8OP6jMyMbOwsrFzcH7sP23n4OTi5uHlY3juY2RiZmFlY+fg5OLm4eVj+O/6jEzMLKxs7BycXNw8vHwM/0OfkYmZhZWNnYOTi5uHl4/hZ/QZmZhZWNnYP/Zf9P8+7WzsHJxc3Dy8fAy/+JOfY2RiZmFlY+fg5OLm4eVj+CX6jEzMLKxs7BycXNw8vHwMv1SfkYmZhZWNnYOTi5uHl4/h8/QZmZhZWD/2L7SzsLKxc3BycfPw8jH8GvcxMjGzsLKxc3BycfPw8jF8kT4jEzMLKxs7BycXNw8vH0PUZ2RiZmFlY+fg5OLm4eVj+GJ9Ribmj/0325mYWVjZ2Dk4ubh5ePkYfos+IxMzCysbOwcnFzcPLx/Db9VnZGJmYWVj5+Dk4ubh5WP4bfqMTMwsrGzsHJxc3Dy8fAxfrs/I97vsv9vOyMTMwsrGzsHJxc3Dy8fwNfqMTMwsrGzsHJxc3Dy8fAy/R5+RiZmFlY2dg5OLm4eXj+H36jMyMbOwsrFzcHJx8/DyMXyt/Q/b+Ri+wX2MTMwsrGzsHJxc3Dy8fAx/RJ+RiZmFlY2dg5OLm4eXj+GP6jMyMbOwsrFzcHJx8/DyMfwxfUYmZhZWNnYOTi5uHt6P/ZvtPLx8DN/iPkYmZhZWNnYOTi5uHl4+hm/VZ2RiZmFlY+fg5OLm4eVj+DZ9RiZmFlY2dg5OLm4eXj6Gb9dnZGJmYWVj5+Dk4v7Yv8/Oxc3Dy8cw3MfIxMzCysbOwcnFzcPLx/AX9BmZmFlY2dg5OLm4eXj5GP6iPiMTMwsrGzsHJxc3Dy8fw/frMzIxs7CysXNwfux/087BycXNw8vH8Lfcx8jEzMLKxs7BycXNw8vH8Lf1GZmYWVjZ2Dk4ubh5ePkY/o4+IxMzCysbOwcnFzcPLx/DD+kzMjGzsLKxf+z/1M7GzsHJxc3Dy8fwz9zHyMTMwsrGzsHJxc3Dy8fwz/UZmZhZWNnYOTi5uHl4+Ri2PiMTMwsrGzsHJxc3Dy8fww/rMzIxs7B+5v8HmvW4vQ==AQAAAACAAAAQRAAAjwIAAA==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AQAAAACAAAAQRAAASQEAAA==eJzt2U8rwwEcgPELrRw0xLZkEpHElctKO01NbD8tB5mVKTtNjVK0XRQOVqYoGUJpceEikdhBTSY02pTLJuRAHKZF/vy+b+M5fd7Ac3v8ngNfSK9t9SP+uZ+a/nY3I4pJ50iH0YEoZjOu1Rsfoljmaf+YCSGKtlT5mGsHUfQ6NXHDJaIYzLxXXr0iirGu4831wiJE1afkVq6nEVHUOBespVZE0XwxkHj0IIquLnvdyhSi6E+aRrs3EcVwb/2Z9hRRTMazSvoBUfxU0huLecWIqrr/MKoRRXvbUqDWjCh645NX932IYlDx1cz7EcVY1Lw9GEYUny1NP1WHiKImbrCl7hDFWiV/bTaHKLqi1w1uQwmiasByNF7Rgigun0cuEg5EUd2cw4ji50l/pG8OUdRZOr/0u4iifc848XKJKA6ZCm7X3hDFX6QXVXY=AQAAAACAAAAQRAAANjoAAA==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AQAAAACAAAAQRAAA/zgAAA==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AQAAAACAAADIagAAbhMAAA==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AQAAAACAAAAQRAAAWQsAAA==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+ </AppendedData>
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+ </VTKFile>
CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/Lambda/Lambda_1_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/Lambda/Lambda_2_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/Lambda/Lambda_300000.pvtu ADDED
@@ -0,0 +1,33 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ <?xml version="1.0"?>
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+ <VTKFile type="PUnstructuredGrid" version="0.1"
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+ byte_order="LittleEndian"
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+ compressor="vtkZLibDataCompressor">
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+ <PUnstructuredGrid GhostLevel="0">
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+ <PCellData>
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+ <PDataArray type="Float64" Name="id"/>
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+ <PDataArray type="Float64" Name="xc"/>
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+ <PDataArray type="Float64" Name="yc"/>
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+ <PDataArray type="Float64" Name="c_6[1]"/>
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+ <PDataArray type="Float64" Name="c_6[2]"/>
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+ </PCellData>
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+ <PPoints>
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+ <PDataArray type="Float32" Name="Points" NumberOfComponents="3"/>
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+ </PPoints>
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+ <Piece Source="Lambda_0_300000.vtu"/>
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+ <Piece Source="Lambda_1_300000.vtu"/>
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+ <Piece Source="Lambda_2_300000.vtu"/>
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+ <Piece Source="Lambda_3_300000.vtu"/>
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+ <Piece Source="Lambda_4_300000.vtu"/>
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+ <Piece Source="Lambda_5_300000.vtu"/>
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+ <Piece Source="Lambda_6_300000.vtu"/>
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+ <Piece Source="Lambda_7_300000.vtu"/>
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+ <Piece Source="Lambda_8_300000.vtu"/>
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+ <Piece Source="Lambda_9_300000.vtu"/>
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+ <Piece Source="Lambda_10_300000.vtu"/>
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+ <Piece Source="Lambda_11_300000.vtu"/>
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+ <Piece Source="Lambda_12_300000.vtu"/>
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+ <Piece Source="Lambda_13_300000.vtu"/>
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+ <Piece Source="Lambda_14_300000.vtu"/>
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+ <Piece Source="Lambda_15_300000.vtu"/>
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+ </PUnstructuredGrid>
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+ </VTKFile>
CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/Lambda/Lambda_3_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/Lambda/Lambda_4_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/Lambda/Lambda_5_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/Lambda/Lambda_6_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/Lambda/Lambda_7_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/Lambda/Lambda_8_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/Lambda/Lambda_9_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/Surf.pvd ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <VTKFile type="Collection" version="0.1"
3
+ byte_order="LittleEndian"
4
+ compressor="vtkZLibDataCompressor">
5
+ <Collection>
6
+ <DataSet timestep="300000" group="" part="0"
7
+ file="Surf/Surf_300000.vtu"/>
8
+ </Collection>
9
+ </VTKFile>
CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/config.txt ADDED
@@ -0,0 +1,78 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ variable BZ equal 1.380649E-23
2
+ variable PI equal 3.1415926536
3
+ variable molecular_mass equal 6.63E-26
4
+ variable molecular_diameter equal 4.17E-10
5
+ variable gamma equal 1.666666667
6
+ variable R equal ${BZ}/${molecular_mass}
7
+ variable L equal 1.0
8
+ variable xmin equal -5.0
9
+ variable xmax equal 6.0
10
+ variable ymin equal -5.0
11
+ variable ymax equal 5.0
12
+ variable Kn equal 0.12
13
+ variable Ma equal 4.5
14
+ variable To equal 273.0
15
+ variable Tb equal 273.0
16
+ variable theta equal 0.0
17
+ variable mfp equal ${Kn}*${L}
18
+ variable cpmfp equal 4
19
+ variable nden equal 1.0/sqrt(2.0)/${PI}/${molecular_diameter}/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
20
+ variable sos equal sqrt(${gamma}*${R}*${To})
21
+ variable vo equal ${Ma}*${sos}
22
+ variable vx equal ${vo}*cos(${theta}*2*PI/360)
23
+ variable vy equal ${vo}*sin(${theta}*2*PI/360)
24
+ variable ppc equal 30
25
+ variable xncells equal (${xmax}-${xmin})/${mfp}*${cpmfp}
26
+ variable yncells equal (${ymax}-${ymin})/${mfp}*${cpmfp}
27
+ variable Fnum equal ${nden}*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
28
+ variable tstep equal (-${xmin}+${xmax})/${vx}/${xncells}/10/4
29
+ variable nave equal 10000
30
+ variable noutput equal 300000
31
+ clear
32
+ shell mkdir output
33
+ shell mkdir grid
34
+ shell mkdir surf
35
+ seed 7
36
+ dimension 2
37
+ global nrho ${nden}
38
+ global fnum ${Fnum}
39
+ timestep ${tstep}
40
+ global gridcut 1.0 particle/reorder 100 comm/sort yes
41
+ region 1 cylinder z 0.0 0.0 3.50 -0.5 0.5
42
+ region 2 cylinder z 0.0 0.0 2.00 -0.5 0.5
43
+ region 3 cylinder z 0.0 0.0 0.80 -0.5 0.5
44
+ boundary o o p
45
+ create_box ${xmin} ${xmax} ${ymin} ${ymax} -0.5 0.5
46
+ create_grid ${xncells} ${yncells} 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
47
+ balance_grid rcb cell
48
+ species gas.species Ar
49
+ mixture air Ar frac 1.0
50
+ mixture air Ar vstream ${vx} ${vy} 0.0 temp ${To}
51
+ collide vss air gas.vhs
52
+ collide_modify vremax 100 yes remain no nearcp yes 10
53
+ read_surf cylinder.surf
54
+ surf_collide 1 diffuse 273.0 1.0
55
+ surf_modify all collide 1
56
+ fix in emit/face air xlo ylo yhi
57
+ balance_grid rcb cell
58
+ create_particles air n 0
59
+ stats 10000
60
+ stats_style step cpu np nattempt ncoll nscoll npave nscollave
61
+ run 200000
62
+ compute 1 grid all air n nrho massrho u v w
63
+ compute 2 grid all air trot
64
+ compute 3 tvib/grid all air
65
+ compute 4 thermal/grid all air press temp
66
+ fix 1 ave/grid all 1 ${nave} ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
67
+ dump 1 grid all ${noutput} output/grid.*.dat id xc yc f_1[*]
68
+ dump_modify 1 format float %12.5g
69
+ compute 5 surf all air n press px py shx shy fx fy etot erot evib
70
+ fix 2 ave/surf all 1 ${nave} ${nave} c_5[*] ave running
71
+ dump 2 surf all ${noutput} output/surf.*.dat id v1x v1y v2x v2y f_2[*]
72
+ dump_modify 2 format float %12.5g
73
+ compute 6 lambda/grid f_1[2] f_1[8] Ar kx
74
+ dump 3 grid all ${noutput} output/lambdakn.*.dat id xc yc c_6[*]
75
+ dump_modify 3 format float %12.5g
76
+ run 100000
77
+ write_grid grid/final-grid.dat
78
+ write_surf surf/geom.surf
CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/cylinder.surf ADDED
@@ -0,0 +1,410 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ surf file from Pointwise
2
+
3
+ 200 points
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+ 200 lines
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+
6
+ Points
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+
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CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/gas.species ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Species data
2
+
3
+ # species name
4
+ # molecular weight (atomic mass units, e.g. 16 for oxygen)
5
+ # molecular mass (kg)
6
+ # rotational degrees of freedom (integer, unitless)
7
+ # inverse rotational relaxtion number (unitless)
8
+ # vibrational degrees of freedom (integer, unitless)
9
+ # inverse vibrational relaxation number (unitless)
10
+ # vibrational temperature (K)
11
+ # species weight (unitless)
12
+ # multiple of electon charge (1 for a proton)
13
+
14
+ Ar 39.95 6.63E-26 0 0.0 0 0.0 0.0 1.0 0.0
CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/gas.vhs ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ # VHS collision model parameters for each species
2
+
3
+ # species name
4
+ # diameter (m)
5
+ # omega (unitless)
6
+ # tref (referenced temperature)
7
+ # alpha (unitless)
8
+
9
+ Ar 4.17e-10 0.81 273 1.0
CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/grid/Grid_0_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/grid/Grid_14_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/grid/Grid_15_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/grid/Grid_1_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/grid/Grid_2_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/grid/Grid_300000.pvtu ADDED
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+ <?xml version="1.0"?>
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+ <VTKFile type="PUnstructuredGrid" version="0.1"
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+ <PDataArray type="Float64" Name="f_1[10]"/>
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+ </PCellData>
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+ <PPoints>
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+ <PDataArray type="Float32" Name="Points" NumberOfComponents="3"/>
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CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/grid/Grid_3_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/grid/Grid_4_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/grid/Grid_7_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/grid/Grid_8_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/grid/Grid_9_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/grid/final-grid.dat ADDED
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CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/log.sparta ADDED
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1
+ SPARTA (4 Sep 2024)
2
+ Running on 128 MPI task(s)
3
+ variable BZ equal 1.380649E-23
4
+ variable PI equal 3.1415926536
5
+ variable molecular_mass equal 6.63E-26
6
+ variable molecular_diameter equal 4.17E-10
7
+ variable gamma equal 1.666666667
8
+ variable R equal ${BZ}/${molecular_mass}
9
+ variable R equal 1.380649e-23/${molecular_mass}
10
+ variable R equal 1.380649e-23/6.63e-26
11
+ variable L equal 1.0
12
+ variable xmin equal -5.0
13
+ variable xmax equal 6.0
14
+ variable ymin equal -5.0
15
+ variable ymax equal 5.0
16
+ variable Kn equal 0.12
17
+ variable Ma equal 4.5
18
+ variable To equal 273.0
19
+ variable Tb equal 273.0
20
+ variable theta equal 0.0
21
+ variable mfp equal ${Kn}*${L}
22
+ variable mfp equal 0.12*${L}
23
+ variable mfp equal 0.12*1
24
+ variable cpmfp equal 4
25
+ variable nden equal 1.0/sqrt(2.0)/${PI}/${molecular_diameter}/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
26
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/${molecular_diameter}/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
27
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
28
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(${mfp}/${cpmfp}*${Kn})
29
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.12/${cpmfp}*${Kn})
30
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.12/4*${Kn})
31
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.12/4*0.12)
32
+ variable sos equal sqrt(${gamma}*${R}*${To})
33
+ variable sos equal sqrt(1.666666667*${R}*${To})
34
+ variable sos equal sqrt(1.666666667*208.242684766214*${To})
35
+ variable sos equal sqrt(1.666666667*208.242684766214*273)
36
+ variable vo equal ${Ma}*${sos}
37
+ variable vo equal 4.5*${sos}
38
+ variable vo equal 4.5*307.815564238681
39
+ variable vx equal ${vo}*cos(${theta}*2*PI/360)
40
+ variable vx equal 1385.17003907406*cos(${theta}*2*PI/360)
41
+ variable vx equal 1385.17003907406*cos(0*2*PI/360)
42
+ variable vy equal ${vo}*sin(${theta}*2*PI/360)
43
+ variable vy equal 1385.17003907406*sin(${theta}*2*PI/360)
44
+ variable vy equal 1385.17003907406*sin(0*2*PI/360)
45
+ variable ppc equal 30
46
+ variable xncells equal (${xmax}-${xmin})/${mfp}*${cpmfp}
47
+ variable xncells equal (6-${xmin})/${mfp}*${cpmfp}
48
+ variable xncells equal (6--5)/${mfp}*${cpmfp}
49
+ variable xncells equal (6--5)/0.12*${cpmfp}
50
+ variable xncells equal (6--5)/0.12*4
51
+ variable yncells equal (${ymax}-${ymin})/${mfp}*${cpmfp}
52
+ variable yncells equal (5-${ymin})/${mfp}*${cpmfp}
53
+ variable yncells equal (5--5)/${mfp}*${cpmfp}
54
+ variable yncells equal (5--5)/0.12*${cpmfp}
55
+ variable yncells equal (5--5)/0.12*4
56
+ variable Fnum equal ${nden}*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
57
+ variable Fnum equal 3.59551014725462e+20*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
58
+ variable Fnum equal 3.59551014725462e+20*(6-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
59
+ variable Fnum equal 3.59551014725462e+20*(6--5)*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
60
+ variable Fnum equal 3.59551014725462e+20*(6--5)*(5-${ymin})/${ppc}/${xncells}/${yncells}
61
+ variable Fnum equal 3.59551014725462e+20*(6--5)*(5--5)/${ppc}/${xncells}/${yncells}
62
+ variable Fnum equal 3.59551014725462e+20*(6--5)*(5--5)/30/${xncells}/${yncells}
63
+ variable Fnum equal 3.59551014725462e+20*(6--5)*(5--5)/30/366.666666666667/${yncells}
64
+ variable Fnum equal 3.59551014725462e+20*(6--5)*(5--5)/30/366.666666666667/333.333333333333
65
+ variable tstep equal (-${xmin}+${xmax})/${vx}/${xncells}/10/4
66
+ variable tstep equal (--5+${xmax})/${vx}/${xncells}/10/4
67
+ variable tstep equal (--5+6)/${vx}/${xncells}/10/4
68
+ variable tstep equal (--5+6)/1385.17003907406/${xncells}/10/4
69
+ variable tstep equal (--5+6)/1385.17003907406/366.666666666667/10/4
70
+ variable nave equal 10000
71
+ variable noutput equal 300000
72
+ clear
73
+ Running on 128 MPI task(s)
74
+ shell mkdir output
75
+ shell mkdir grid
76
+ shell mkdir surf
77
+ seed 7
78
+ dimension 2
79
+ global nrho ${nden}
80
+ global nrho 3.59551014725462e+20
81
+ global fnum ${Fnum}
82
+ global fnum 1.07865304417639e+16
83
+ timestep ${tstep}
84
+ timestep 5.41449770673173e-07
85
+ global gridcut 1.0 particle/reorder 100 comm/sort yes
86
+ region 1 cylinder z 0.0 0.0 3.50 -0.5 0.5
87
+ region 2 cylinder z 0.0 0.0 2.00 -0.5 0.5
88
+ region 3 cylinder z 0.0 0.0 0.80 -0.5 0.5
89
+ boundary o o p
90
+ create_box ${xmin} ${xmax} ${ymin} ${ymax} -0.5 0.5
91
+ create_box -5 ${xmax} ${ymin} ${ymax} -0.5 0.5
92
+ create_box -5 6 ${ymin} ${ymax} -0.5 0.5
93
+ create_box -5 6 -5 ${ymax} -0.5 0.5
94
+ create_box -5 6 -5 5 -0.5 0.5
95
+ Created orthogonal box = (-5 -5 -0.5) to (6 5 0.5)
96
+ create_grid ${xncells} ${yncells} 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
97
+ create_grid 366.666666666667 ${yncells} 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
98
+ create_grid 366.666666666667 333.333333333333 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
99
+ Created 528090 child grid cells
100
+ CPU time = 0.430406 secs
101
+ create/ghost percent = 0.673719 99.3263
102
+ balance_grid rcb cell
103
+ Balance grid migrated 527129 cells
104
+ CPU time = 0.33874 secs
105
+ reassign/sort/migrate/ghost percent = 23.081 0.0400628 7.76522 69.1137
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 1385.17003907406 ${vy} 0.0 temp ${To}
110
+ mixture air Ar vstream 1385.17003907406 0 0.0 temp ${To}
111
+ mixture air Ar vstream 1385.17003907406 0 0.0 temp 273
112
+ collide vss air gas.vhs
113
+ collide_modify vremax 100 yes remain no nearcp yes 10
114
+ read_surf cylinder.surf
115
+ 200 lines
116
+ -0.5 0.5 xlo xhi
117
+ -0.5 0.5 ylo yhi
118
+ 0 0 zlo zhi
119
+ 0.0157073 min line length
120
+ 1068 0 = cells overlapping surfs, overlap cells with unmarked corner pts
121
+ 471864 55158 1068 = cells outside/inside/overlapping surfs
122
+ 1068 = surf cells with 1,2,etc splits
123
+ 109.215 109.215 = cell-wise and global flow volume
124
+ CPU time = 0.376847 secs
125
+ read/check/sort/surf2grid/ghost/inout/particle percent = 6.5438 7.30255 0.802534 19.0497 66.3014 1.87708 0.0386549
126
+ surf2grid time = 0.0717884 secs
127
+ map/comm1/comm2/comm3/comm4/split percent = 22.573 19.1679 26.0831 7.61535 3.94012 2.35789
128
+ surf_collide 1 diffuse 273.0 1.0
129
+ surf_modify all collide 1
130
+ fix in emit/face air xlo ylo yhi
131
+ balance_grid rcb cell
132
+ Balance grid migrated 4498 cells
133
+ CPU time = 0.253905 secs
134
+ reassign/sort/migrate/ghost percent = 1.7607 0.0289754 3.62423 94.5861
135
+ create_particles air n 0
136
+ WARNING: Created unexpected # of particles: 3640487 versus 3640491 (../create_particles.cpp:346)
137
+ Created 3640487 particles
138
+ CPU time = 0.0573846 secs
139
+ stats 10000
140
+ stats_style step cpu np nattempt ncoll nscoll npave nscollave
141
+ run 200000
142
+ Memory usage per proc in Mbytes:
143
+ particles (ave,min,max) = 3.82324 0 13.5
144
+ grid (ave,min,max) = 18.2252 2.45129 34.8263
145
+ surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
146
+ total (ave,min,max) = 22.0691 9.59689 43.2844
147
+ Step CPU Np Natt Ncoll Nscoll Npave Nscollave
148
+ 0 0 3640487 0 0 0 0 0
149
+ 10000 119.36083 3689186 160768 135343 46 3646107 42.4672
150
+ 20000 311.54276 3952413 185331 158518 49 3745960.7 42.9262
151
+ 30000 547.71995 4005215 190181 163414 39 3826093.9 43.1892
152
+ 40000 788.01589 4018055 190604 163620 51 3872872.6 43.3611
153
+ 50000 1029.0056 4019058 190746 163743 45 3902052.8 43.4372
154
+ 60000 1270.4161 4017353 191039 164148 52 3921344.9 43.524467
155
+ 70000 1511.5926 4021396 190864 163730 54 3935261.6 43.561071
156
+ 80000 1753.1823 4018940 190908 163843 64 3945825.4 43.591687
157
+ 90000 1993.7996 4020839 190985 163821 50 3954073.5 43.643444
158
+ 100000 2235.72 4021519 191568 164470 42 3960735.4 43.6715
159
+ 110000 2476.0735 4022695 190989 163750 41 3966295.4 43.682255
160
+ 120000 2718.0449 4021159 190921 163732 49 3970967.2 43.710667
161
+ 130000 2960.4957 4018222 190704 163542 38 3974674.1 43.726408
162
+ 140000 3202.5144 4019151 191152 164000 43 3977843.6 43.733329
163
+ 150000 3444.2046 4020292 191130 164079 38 3980632.6 43.750833
164
+ 160000 3684.9448 4020519 190674 163619 36 3983104.6 43.757794
165
+ 170000 3925.8692 4019424 190744 163260 48 3985323.1 43.766947
166
+ 180000 4167.0056 4020021 190691 163746 48 3987223.1 43.780422
167
+ 190000 4408.1959 4019037 191441 164333 40 3988968.6 43.786358
168
+ 200000 4648.9435 4020945 190778 163618 36 3990506.3 43.7919
169
+ Loop time of 4648.95 on 128 procs for 200000 steps with 4020945 particles
170
+
171
+ MPI task timing breakdown:
172
+ Section | min time | avg time | max time |%varavg| %total
173
+ ---------------------------------------------------------------
174
+ Move | 0.043236 | 140.86 | 800.09 |1368.9 | 3.03
175
+ Coll | 2.607 | 300 | 3030.9 |2909.4 | 6.45
176
+ Sort | 1.3287 | 99.66 | 507.39 |1238.5 | 2.14
177
+ Comm | 154.78 | 190.21 | 208.4 | 87.6 | 4.09
178
+ Modify | 0.039747 | 0.76108 | 12.051 | 203.6 | 0.02
179
+ Output | 0.014561 | 0.2791 | 0.31436 | 10.0 | 0.01
180
+ Other | | 3917 | | | 84.26
181
+
182
+ Particle moves = 798101266300 (798B)
183
+ Cells touched = 834463657275 (834B)
184
+ Particle comms = 570697553 (571M)
185
+ Boundary collides = 0 (0K)
186
+ Boundary exits = 57168003 (57.2M)
187
+ SurfColl checks = 407943819 (408M)
188
+ SurfColl occurs = 8758380 (8.76M)
189
+ Surf reactions = 0 (0K)
190
+ Collide attempts = 44855128000 (44.9B)
191
+ Collide occurs = 33784812579 (33.8B)
192
+ Reactions = 0 (0K)
193
+ Particles stuck = 0
194
+ Axisymm bad moves = 0
195
+
196
+ Particle-moves/CPUsec/proc: 1.3412e+06
197
+ Particle-moves/step: 3.99051e+06
198
+ Cell-touches/particle/step: 1.04556
199
+ Particle comm iterations/step: 1
200
+ Particle fraction communicated: 0.000715069
201
+ Particle fraction colliding with boundary: 0
202
+ Particle fraction exiting boundary: 7.163e-05
203
+ Surface-checks/particle/step: 0.000511143
204
+ Surface-collisions/particle/step: 1.0974e-05
205
+ Surf-reactions/particle/step: 0
206
+ Collision-attempts/particle/step: 0.0562023
207
+ Collisions/particle/step: 0.0423315
208
+ Reactions/particle/step: 0
209
+
210
+ Particles: 31413.6 ave 215322 max 0 min
211
+ Histogram: 84 16 4 10 4 6 0 0 2 2
212
+ Cells: 4125.7 ave 4126 max 4125 min
213
+ Histogram: 38 0 0 0 0 0 0 0 0 90
214
+ GhostCell: 105920 ave 194636 max 5730 min
215
+ Histogram: 24 7 11 10 18 2 6 4 16 30
216
+ EmptyCell: 0 ave 0 max 0 min
217
+ Histogram: 128 0 0 0 0 0 0 0 0 0
218
+ Surfs: 200 ave 200 max 200 min
219
+ Histogram: 128 0 0 0 0 0 0 0 0 0
220
+ GhostSurf: 0 ave 0 max 0 min
221
+ Histogram: 128 0 0 0 0 0 0 0 0 0
222
+ compute 1 grid all air n nrho massrho u v w
223
+ compute 2 grid all air trot
224
+ compute 3 tvib/grid all air
225
+ compute 4 thermal/grid all air press temp
226
+ fix 1 ave/grid all 1 ${nave} ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
227
+ fix 1 ave/grid all 1 10000 ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
228
+ fix 1 ave/grid all 1 10000 10000 c_1[*] c_4[*] c_2[*] c_3[*] ave running
229
+ dump 1 grid all ${noutput} output/grid.*.dat id xc yc f_1[*]
230
+ dump 1 grid all 300000 output/grid.*.dat id xc yc f_1[*]
231
+ dump_modify 1 format float %12.5g
232
+ compute 5 surf all air n press px py shx shy fx fy etot erot evib
233
+ fix 2 ave/surf all 1 ${nave} ${nave} c_5[*] ave running
234
+ fix 2 ave/surf all 1 10000 ${nave} c_5[*] ave running
235
+ fix 2 ave/surf all 1 10000 10000 c_5[*] ave running
236
+ dump 2 surf all ${noutput} output/surf.*.dat id v1x v1y v2x v2y f_2[*]
237
+ dump 2 surf all 300000 output/surf.*.dat id v1x v1y v2x v2y f_2[*]
238
+ dump_modify 2 format float %12.5g
239
+ compute 6 lambda/grid f_1[2] f_1[8] Ar kx
240
+ dump 3 grid all ${noutput} output/lambdakn.*.dat id xc yc c_6[*]
241
+ dump 3 grid all 300000 output/lambdakn.*.dat id xc yc c_6[*]
242
+ dump_modify 3 format float %12.5g
243
+ run 100000
244
+ Memory usage per proc in Mbytes:
245
+ particles (ave,min,max) = 4.42969 0 23.625
246
+ grid (ave,min,max) = 18.2252 2.45129 34.8263
247
+ surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
248
+ total (ave,min,max) = 24.0607 10.982 44.6695
249
+ Step CPU Np Natt Ncoll Nscoll Npave Nscollave
250
+ 200000 0 4020945 190778 163618 0 0 0
251
+ 210000 378.58856 4020092 190630 163766 48 4020951.4 43.9536
252
+ 220000 755.00582 4019292 190969 164046 49 4020723.3 43.9161
253
+ 230000 1131.8735 4019449 190961 164101 44 4020380.4 43.925767
254
+ 240000 1510.1738 4018585 190289 163142 48 4020096.7 43.90235
255
+ 250000 1886.7871 4021679 190941 163999 44 4020176.6 43.93556
256
+ 260000 2265.702 4019405 191270 163881 40 4020294.6 43.938983
257
+ 270000 2641.7369 4021343 190800 163819 52 4020287.1 43.9396
258
+ 280000 3019.1108 4020243 191196 163940 41 4020380.2 43.947488
259
+ 290000 3395.7513 4019762 190647 163544 45 4020408.5 43.950422
260
+ 300000 3772.6367 4022765 191514 164225 46 4020483.2 43.95156
261
+ Loop time of 3772.64 on 128 procs for 100000 steps with 4022765 particles
262
+
263
+ MPI task timing breakdown:
264
+ Section | min time | avg time | max time |%varavg| %total
265
+ ---------------------------------------------------------------
266
+ Move | 0.041827 | 72.022 | 412.43 | 958.0 | 1.91
267
+ Coll | 1.4294 | 164.96 | 1820.9 |2192.1 | 4.37
268
+ Sort | 5.6558 | 61.085 | 294.45 | 872.6 | 1.62
269
+ Comm | 89.337 | 111.59 | 122.64 | 66.6 | 2.96
270
+ Modify | 31.271 | 195.27 | 1072.1 |1622.6 | 5.18
271
+ Output | 0.25139 | 0.25341 | 0.25933 | 0.4 | 0.01
272
+ Other | | 3167 | | | 83.96
273
+
274
+ Particle moves = 402048318892 (402B)
275
+ Cells touched = 420326557213 (420B)
276
+ Particle comms = 286703478 (287M)
277
+ Boundary collides = 0 (0K)
278
+ Boundary exits = 28774592 (28.8M)
279
+ SurfColl checks = 205096199 (205M)
280
+ SurfColl occurs = 4395156 (4.4M)
281
+ Surf reactions = 0 (0K)
282
+ Collide attempts = 22907654632 (22.9B)
283
+ Collide occurs = 17242570884 (17.2B)
284
+ Reactions = 0 (0K)
285
+ Particles stuck = 0
286
+ Axisymm bad moves = 0
287
+
288
+ Particle-moves/CPUsec/proc: 832575
289
+ Particle-moves/step: 4.02048e+06
290
+ Cell-touches/particle/step: 1.04546
291
+ Particle comm iterations/step: 1
292
+ Particle fraction communicated: 0.000713107
293
+ Particle fraction colliding with boundary: 0
294
+ Particle fraction exiting boundary: 7.157e-05
295
+ Surface-checks/particle/step: 0.000510128
296
+ Surface-collisions/particle/step: 1.09319e-05
297
+ Surf-reactions/particle/step: 0
298
+ Collision-attempts/particle/step: 0.0569774
299
+ Collisions/particle/step: 0.0428868
300
+ Reactions/particle/step: 0
301
+
302
+ Particles: 31427.9 ave 214633 max 0 min
303
+ Histogram: 84 14 5 11 4 6 0 0 2 2
304
+ Cells: 4125.7 ave 4126 max 4125 min
305
+ Histogram: 38 0 0 0 0 0 0 0 0 90
306
+ GhostCell: 105920 ave 194636 max 5730 min
307
+ Histogram: 24 7 11 10 18 2 6 4 16 30
308
+ EmptyCell: 0 ave 0 max 0 min
309
+ Histogram: 128 0 0 0 0 0 0 0 0 0
310
+ Surfs: 200 ave 200 max 200 min
311
+ Histogram: 128 0 0 0 0 0 0 0 0 0
312
+ GhostSurf: 0 ave 0 max 0 min
313
+ Histogram: 128 0 0 0 0 0 0 0 0 0
314
+ write_grid grid/final-grid.dat
315
+ grid cells = 528090
316
+ CPU time = 0.0677822 secs
317
+ write_surf surf/geom.surf
318
+ surf elements = 200
319
+ CPU time = 0.00370366 secs
CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/mir.txt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ dimension 2
2
+ create_box -5.0 6.0 -5.0 5.0 -0.5 0.5
3
+ read_grid grid/final-grid.dat
CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/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 0.01837 0.99768 -0.99756 0.015671 2.2531e-07 1.4342e-05 -0.015669 0.00024637 59.306 0 0
11
+ 129 -0.31871 0.38526 -0.30645 0.39508 0.35186 19.803 12.382 -15.455 1.7179 1.3763 0.22147 -0.22114 1980.7 0 0
12
+ 2 0.49975 -0.015705 0.49901 -0.031395 0.01809 0.99626 -0.99515 0.04693 -3.1546e-05 -0.00066894 -0.015632 0.00072664 66.884 0 0
13
+ 130 -0.30645 0.39508 -0.29389 0.40451 0.33434 18.719 11.239 -14.969 1.6797 1.2611 0.20292 -0.21531 1862.9 0 0
14
+ 3 0.49901 -0.031395 0.49778 -0.047054 0.01861 1.0236 -1.0204 0.080309 -0.0019589 -0.024891 -0.016059 0.00087048 65.91 0 0
15
+ 131 -0.29389 0.40451 -0.28104 0.41354 0.31401 17.704 10.18 -14.485 1.7522 1.2315 0.18742 -0.20817 1754 0 0
16
+ 4 0.49778 -0.047054 0.49606 -0.062667 0.01856 1.0085 -1.0024 0.11067 -0.0039 -0.035326 -0.015806 0.0011834 59.37 0 0
17
+ 132 -0.28104 0.41354 -0.26791 0.42216 0.29801 16.824 9.2366 -14.061 1.7224 1.1314 0.17214 -0.2031 1700.4 0 0
18
+ 5 0.49606 -0.062667 0.49384 -0.078217 0.01819 1.0044 -0.99442 0.14153 -0.0039065 -0.027449 -0.015681 0.0017919 71.307 0 0
19
+ 133 -0.26791 0.42216 -0.25452 0.43037 0.28109 15.815 8.2634 -13.485 1.7493 1.0719 0.15727 -0.19497 1572.6 0 0
20
+ 6 0.49384 -0.078217 0.49114 -0.093691 0.01813 0.97536 -0.96084 0.16769 -0.0032835 -0.018813 -0.015144 0.0023385 63.622 0 0
21
+ 134 -0.25452 0.43037 -0.24088 0.43815 0.26419 14.842 7.3538 -12.893 1.7418 0.99352 0.14287 -0.1869 1504.5 0 0
22
+ 7 0.49114 -0.093691 0.48796 -0.10907 0.01744 0.95272 -0.93292 0.1932 -0.0021346 -0.010308 -0.014687 0.0028727 58.43 0 0
23
+ 135 -0.24088 0.43815 -0.227 0.4455 0.24953 14.062 6.58 -12.427 1.6076 0.8512 0.12861 -0.18183 1407.5 0 0
24
+ 8 0.48796 -0.10907 0.48429 -0.12434 0.01682 0.90458 -0.87958 0.21117 -0.0097909 -0.040782 -0.01397 0.0026763 58.954 0 0
25
+ 136 -0.227 0.4455 -0.21289 0.45241 0.23254 13.131 5.7769 -11.792 1.6736 0.81987 0.11703 -0.17234 1353.8 0 0
26
+ 9 0.48429 -0.12434 0.48015 -0.1395 0.01695 0.91224 -0.87991 0.24072 -0.013513 -0.049395 -0.014033 0.0030051 55.805 0 0
27
+ 137 -0.21289 0.45241 -0.19857 0.45888 0.21955 12.35 5.0822 -11.256 1.6885 0.76239 0.10635 -0.16482 1268.7 0 0
28
+ 10 0.48015 -0.1395 0.47553 -0.15451 0.01639 0.88537 -0.84623 0.26034 -0.01009 -0.032799 -0.013451 0.003574 53.399 0 0
29
+ 138 -0.19857 0.45888 -0.18406 0.46489 0.20361 11.453 4.3828 -10.581 1.6221 0.67188 0.094321 -0.15565 1174.6 0 0
30
+ 11 0.47553 -0.15451 0.47044 -0.16937 0.0157 0.8523 -0.80635 0.27608 -0.0027911 -0.008152 -0.012709 0.0042084 53.061 0 0
31
+ 139 -0.18406 0.46489 -0.16937 0.47044 0.19334 10.811 3.8214 -10.113 1.6078 0.60753 0.085278 -0.14931 1108.7 0 0
32
+ 12 0.47044 -0.16937 0.46489 -0.18406 0.01563 0.86819 -0.81215 0.30688 -0.015041 -0.039804 -0.012993 0.0041951 68.503 0 0
33
+ 140 -0.16937 0.47044 -0.15451 0.47553 0.17898 10.066 3.2604 -9.523 1.5531 0.53174 0.075608 -0.14123 1029.2 0 0
34
+ 13 0.46489 -0.18406 0.45888 -0.19857 0.0139 0.75598 -0.69843 0.2893 -0.0056575 -0.013659 -0.011059 0.0043296 45.445 0 0
35
+ 141 -0.15451 0.47553 -0.1395 0.48015 0.16629 9.3969 2.7631 -8.9815 1.5621 0.48057 0.067937 -0.13353 989.79 0 0
36
+ 14 0.45888 -0.19857 0.45241 -0.21289 0.01325 0.70961 -0.64674 0.29202 -0.0025859 -0.0057271 -0.010199 0.0044968 51.998 0 0
37
+ 142 -0.1395 0.48015 -0.12434 0.48429 0.1546 8.6605 2.2853 -8.3535 1.499 0.41008 0.059441 -0.12477 909.41 0 0
38
+ 15 0.45241 -0.21289 0.4455 -0.227 0.01286 0.70587 -0.63389 0.31054 -0.0072355 -0.01477 -0.01007 0.0046457 49.121 0 0
39
+ 143 -0.12434 0.48429 -0.10907 0.48796 0.14365 8.0509 1.8795 -7.8285 1.4786 0.35499 0.052747 -0.11739 863.81 0 0
40
+ 16 0.4455 -0.227 0.43815 -0.24088 0.01263 0.6805 -0.6014 0.31843 0.0046823 0.0088433 -0.0093729 0.0051405 54.785 0 0
41
+ 144 -0.10907 0.48796 -0.093691 0.49114 0.13393 7.524 1.5258 -7.3676 1.3748 0.28471 0.04556 -0.11125 785.04 0 0
42
+ 17 0.43815 -0.24088 0.43037 -0.25452 0.01153 0.6146 -0.53386 0.30451 0.010603 0.018589 -0.0082189 0.005075 45.985 0 0
43
+ 145 -0.093691 0.49114 -0.078217 0.49384 0.12065 6.788 1.1671 -6.6869 1.3296 0.23205 0.039216 -0.10139 742.17 0 0
44
+ 18 0.43037 -0.25452 0.42216 -0.26791 0.01062 0.57029 -0.48625 0.29797 0.015697 0.025615 -0.0073911 0.0050827 48.771 0 0
45
+ 146 -0.078217 0.49384 -0.062667 0.49606 0.11405 6.3923 0.90068 -6.3285 1.2677 0.18042 0.03406 -0.09657 682.25 0 0
46
+ 19 0.42216 -0.26791 0.41354 -0.28104 0.01005 0.53446 -0.4467 0.29343 0.025281 0.038487 -0.0066194 0.0052135 43.807 0 0
47
+ 147 -0.062667 0.49606 -0.047054 0.49778 0.10538 5.9144 0.64901 -5.8786 1.2034 0.13286 0.029097 -0.090251 614.25 0 0
48
+ 20 0.41354 -0.28104 0.40451 -0.29389 0.0092 0.49482 -0.40483 0.28452 0.044918 0.063912 -0.0056533 0.005473 49.165 0 0
49
+ 148 -0.047054 0.49778 -0.031395 0.49901 0.09785 5.4817 0.43009 -5.4648 1.2085 0.095108 0.025737 -0.084344 590.1 0 0
50
+ 21 0.40451 -0.29389 0.39508 -0.30645 0.00872 0.45374 -0.36285 0.27243 0.053333 0.071033 -0.0048617 0.005395 42.893 0 0
51
+ 149 -0.031395 0.49901 -0.015705 0.49975 0.0893 4.9821 0.23469 -4.9765 1.1657 0.054972 0.021996 -0.077305 565.64 0 0
52
+ 22 0.39508 -0.30645 0.38526 -0.31871 0.00838 0.44244 -0.34529 0.27663 0.06863 0.085664 -0.0043456 0.0056907 50.076 0 0
53
+ 150 -0.015705 0.49975 0 0.5 0.08245 4.6082 0.072382 -4.6076 1.0202 0.016027 0.017162 -0.072121 505.74 0 0
54
+ 23 0.38526 -0.31871 0.37506 -0.33066 0.00784 0.40432 -0.30745 0.26259 0.088647 0.10379 -0.0034368 0.0057548 44.896 0 0
55
+ 151 0 0.5 0.015705 0.49975 0.07599 4.2291 -0.066428 -4.2286 1.0152 -0.015948 0.014902 -0.06667 481.91 0 0
56
+ 24 0.37506 -0.33066 0.36448 -0.34227 0.0076 0.39876 -0.29494 0.26837 0.098021 0.10772 -0.003093 0.0059074 46.664 0 0
57
+ 152 0.015705 0.49975 0.031395 0.49901 0.06768 3.7534 -0.17681 -3.7492 0.94818 -0.044715 0.012116 -0.059592 418.63 0 0
58
+ 25 0.36448 -0.34227 0.35355 -0.35355 0.00784 0.40468 -0.29061 0.28162 0.10819 0.11164 -0.0028654 0.0061771 48.479 0 0
59
+ 153 0.031395 0.49901 0.047054 0.49778 0.06243 3.4986 -0.2745 -3.4878 0.90452 -0.071187 0.0098959 -0.055903 387.01 0 0
60
+ 26 0.35355 -0.35355 0.34227 -0.36448 0.00763 0.39686 -0.27618 0.285 0.12909 0.1251 -0.0023103 0.0064415 57.484 0 0
61
+ 154 0.047054 0.49778 0.062667 0.49606 0.0576 3.217 -0.35301 -3.1975 0.89146 -0.098418 0.0084576 -0.051771 372.52 0 0
62
+ 27 0.34227 -0.36448 0.33066 -0.37506 0.00851 0.43698 -0.2941 0.32321 0.14087 0.12818 -0.0024068 0.0070901 53.835 0 0
63
+ 155 0.062667 0.49606 0.078217 0.49384 0.05345 2.954 -0.41622 -2.9245 0.83015 -0.11815 0.0065017 -0.047792 352.58 0 0
64
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190
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191
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192
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193
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194
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195
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196
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197
+ 116 -0.4455 0.227 -0.43815 0.24088 0.58983 33.187 29.33 -15.529 0.89021 1.6813 0.47468 -0.21752 3231.1 0 0
198
+ 117 -0.43815 0.24088 -0.43037 0.25452 0.57324 32.228 27.994 -15.968 1.0001 1.7533 0.45542 -0.22327 3082.2 0 0
199
+ 118 -0.43037 0.25452 -0.42216 0.26791 0.55365 31.248 26.644 -16.327 1.0455 1.7062 0.43492 -0.22966 3027.2 0 0
200
+ 119 -0.42216 0.26791 -0.41354 0.28104 0.54085 30.455 25.454 -16.72 1.161 1.7675 0.41805 -0.23487 2969.5 0 0
201
+ 120 -0.41354 0.28104 -0.40451 0.29389 0.51332 28.915 23.656 -16.626 1.2866 1.8306 0.39179 -0.2324 2817.3 0 0
202
+ 121 -0.40451 0.29389 -0.39508 0.30645 0.50179 28.142 22.504 -16.897 1.3146 1.7508 0.37413 -0.2379 2733.8 0 0
203
+ 122 -0.39508 0.30645 -0.38526 0.31871 0.47916 26.959 21.04 -16.856 1.3495 1.6845 0.35168 -0.23831 2627.1 0 0
204
+ 123 -0.38526 0.31871 -0.37506 0.33066 0.46135 25.947 19.73 -16.851 1.4331 1.678 0.33242 -0.23833 2520.7 0 0
205
+ 124 -0.37506 0.33066 -0.36448 0.34227 0.44372 25.019 18.505 -16.838 1.4833 1.6302 0.31396 -0.23888 2447.2 0 0
206
+ 125 -0.36448 0.34227 -0.35355 0.35355 0.42261 23.869 17.141 -16.611 1.5316 1.5804 0.2933 -0.23609 2333.6 0 0
207
+ 126 -0.35355 0.35355 -0.34227 0.36448 0.40732 22.877 15.921 -16.429 1.601 1.5514 0.27522 -0.23368 2243.7 0 0
208
+ 127 -0.34227 0.36448 -0.33066 0.37506 0.38908 21.849 14.705 -16.161 1.6332 1.4861 0.25663 -0.2305 2142 0 0
209
+ 128 -0.33066 0.37506 -0.31871 0.38526 0.36915 20.689 13.436 -15.732 1.7214 1.4702 0.23808 -0.22401 2075.1 0 0
CylinderKnMa/Kn0p12/simulation0176_Kn0p12Ma4p5/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