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reactingParcelFoam中颗粒间碰撞参数 -
关于用欧拉-拉格朗日算二维气液两相燃烧请教各位大佬,我用欧拉拉格朗日计算一个二维矩形区域内均匀分布空气和小液滴的两相燃烧问题,是不是要考虑Z方向厚度?给定Z方向厚度才能计算出具体气体质量,然后根据当量比计算出液体质量,进而根据粒子直径计算具体粒子数目。
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reactingParcelFoam中颗粒间碰撞参数您好,请教您一个问题,您知道reactingCloudProperties字典文件中RanzMarshallCoeffs下的BirdCorrection开和关有啥区别吗
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200万网格并行算力测试(OpenFOAM版本)Time = 0.1 Courant Number mean: 0.731999 max: 1.22083 GAMG: Solving for p, Initial residual = 0.629705, Final residual = 0.00421935, No Iterations 3 time step continuity errors : sum local = 7.82336e-06, global = -1.9955e-20, cumulative = -1.9955e-20 Pressure gradient source: uncorrected Ubar = 0.13349, pressure gradient = 0.000114208 GAMG: Solving for p, Initial residual = 0.0563421, Final residual = 0.000354153, No Iterations 4 time step continuity errors : sum local = 9.75747e-07, global = 2.11991e-20, cumulative = 1.24408e-21 Pressure gradient source: uncorrected Ubar = 0.133489, pressure gradient = 0.000117378 GAMG: Solving for p, Initial residual = 0.0152771, Final residual = 8.66768e-07, No Iterations 18 time step continuity errors : sum local = 2.28999e-09, global = -1.80834e-20, cumulative = -1.68393e-20 Pressure gradient source: uncorrected Ubar = 0.133489, pressure gradient = 0.00011696 ExecutionTime = 4.61 s ClockTime = 5 s Time = 0.2 Courant Number mean: 0.731698 max: 1.1641 GAMG: Solving for p, Initial residual = 0.75843, Final residual = 0.00508023, No Iterations 3 time step continuity errors : sum local = 6.71701e-06, global = 1.79247e-12, cumulative = 1.79247e-12 Pressure gradient source: uncorrected Ubar = 0.1335, pressure gradient = 0.000119141 GAMG: Solving for p, Initial residual = 0.0716405, Final residual = 0.000689194, No Iterations 5 time step continuity errors : sum local = 5.93336e-07, global = 1.79247e-12, cumulative = 3.58494e-12 Pressure gradient source: uncorrected Ubar = 0.1335, pressure gradient = 0.000117204 GAMG: Solving for p, Initial residual = 0.014621, Final residual = 9.75203e-07, No Iterations 25 time step continuity errors : sum local = 8.46786e-10, global = 1.79247e-12, cumulative = 5.37741e-12 Pressure gradient source: uncorrected Ubar = 0.1335, pressure gradient = 0.000116758 ExecutionTime = 9.1 s ClockTime = 9 s
上面是4核,下面8核
Time = 0.1 Courant Number mean: 0.731999 max: 1.22083 GAMG: Solving for p, Initial residual = 0.629703, Final residual = 0.00603973, No Iterations 3 time step continuity errors : sum local = 1.11982e-05, global = 8.06587e-21, cumulative = 8.06587e-21 Pressure gradient source: uncorrected Ubar = 0.13349, pressure gradient = 0.000114193 GAMG: Solving for p, Initial residual = 0.0566187, Final residual = 0.00046644, No Iterations 4 time step continuity errors : sum local = 1.28491e-06, global = -2.9891e-20, cumulative = -2.18251e-20 Pressure gradient source: uncorrected Ubar = 0.133489, pressure gradient = 0.000117396 GAMG: Solving for p, Initial residual = 0.0153571, Final residual = 7.70794e-07, No Iterations 20 time step continuity errors : sum local = 2.0346e-09, global = -1.94705e-20, cumulative = -4.12956e-20 Pressure gradient source: uncorrected Ubar = 0.133489, pressure gradient = 0.000116978 ExecutionTime = 5.64 s ClockTime = 6 s Time = 0.2 Courant Number mean: 0.731698 max: 1.16413 GAMG: Solving for p, Initial residual = 0.75841, Final residual = 0.00736995, No Iterations 3 time step continuity errors : sum local = 9.74458e-06, global = 8.78067e-13, cumulative = 8.78067e-13 Pressure gradient source: uncorrected Ubar = 0.1335, pressure gradient = 0.000119176 GAMG: Solving for p, Initial residual = 0.073429, Final residual = 0.000652992, No Iterations 6 time step continuity errors : sum local = 5.62596e-07, global = 8.78067e-13, cumulative = 1.75613e-12 Pressure gradient source: uncorrected Ubar = 0.1335, pressure gradient = 0.000117203 GAMG: Solving for p, Initial residual = 0.0147366, Final residual = 9.38466e-07, No Iterations 23 time step continuity errors : sum local = 8.14733e-10, global = 8.78067e-13, cumulative = 2.6342e-12 Pressure gradient source: uncorrected Ubar = 0.1335, pressure gradient = 0.000116759 ExecutionTime = 11.02 s ClockTime = 11 s
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200万网格并行算力测试(OpenFOAM版本)CPU型号:AMD-3900X 系统:Ubuntu18 32g 3000 OpenFOAM版本:OpenFOAM-7 8 406.12 4 382.44 2 512.83 1 915.2
为啥3900x 8核反而慢了
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如何得到爆轰波三波点运动轨迹图有做爆轰的大佬吗,请教如何得到处理出如下的胞格图
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请教关于添加自适应网格遇到错误foam fatal error: index 50000 out of range 0..49999大家好,我参考openfoam自带的求解器,在求解器中添加自适应网格的功能。我的算例网格总数是50000,运行算例的时候,遇到下面的错误
以下是reactMinMax.H 17-30行17 const label tautableDim = 3; 18 19 forAll(p,i) 20 { 21 List<scalar> lookupCoordinates(tautableDim,0.0); 22 lookupCoordinates[0]=fH[i]; 23 lookupCoordinates[1]=pHI[i]; 24 lookupCoordinates[2]=THI[i]; 25 26 const List<scalar> &LOG_t_ign_temp = tignTable.lookUpBounded(lookupCoordinates,false); 27 tIgnHI[i] = min(max(1e-14,pow(10,LOG_t_ign_temp[0])),1e9); 28 29 } 30 tIgnHI.correctBoundaryConditions();
请教大家问题在哪呢
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请教如何监测压力最高点的移动轨迹@东岳 东岳老师您好,我用的openfoam版本是2.1.1,好像不支持监测location,只能记录最大值和最小值。有其他办法吗
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请教如何监测压力最高点的移动轨迹如何在计算过程中监测记录压力最高点的移动轨迹,或者计算结束后如何在后处理过程中得到压力最高点的移动轨迹呢?有人知道吗