Can adaptive grid refinement produce grid-independent solutions for incompressible flows?
Can adaptive grid refinement produce grid-independent solutions for incompressible flows?
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DOI：
10.1016/j.jcp.2017.04.077
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发表时间：
2017-09
期刊：
影响因子：
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通讯作者：
J. Wackers;G. Deng;E. Guilmineau;A. Leroyer;P. Queutey;M. Visonneau;A. Palmieri;A. Liverani
中科院分区：
文献类型：
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作者：
J. Wackers;G. Deng;E. Guilmineau;A. Leroyer;P. Queutey;M. Visonneau;A. Palmieri;A. Liverani
本文研究了自适应网格加密与不可压RANS方程的有限体积模拟相结合是否可以用于获得实际流动问题的网格无关解。结果表明，基于度量张量的网格自适应可以生成一系列网格的网格收敛性研究在一个简单的方式。对于二维机翼和油轮周围的流动，观察到的力的网格收敛对于数值不确定性估计来说足够光滑。网格细化捕捉的细节，当地的流动在唤醒，这是网格收敛在合理大小的网格。因此，网格收敛的研究，使用自动细化适用于高雷诺数不可压缩流。
This paper studies if adaptive grid refinement combined with finite-volume simulation of the incompressible RANS equations can be used to obtain grid-independent solutions of realistic flow problems. It is shown that grid adaptation based on metric tensors can generate series of meshes for grid convergence studies in a straightforward way. For a two-dimensional airfoil and the flow around a tanker ship, the grid convergence of the observed forces is sufficiently smooth for numerical uncertainty estimation. Grid refinement captures the details of the local flow in the wake, which is shown to be grid converged on reasonably-sized meshes. Thus, grid convergence studies using automatic refinement are suitable for high-Reynolds incompressible flows.