利用自适应网格细化研究激波边界层相互作用下网格分辨率的影响

M. E. Olsen, Randolph P. Lillard
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引用次数: 3

摘要

自适应网格细化(AMR)有望提供一种计算效率更高的方法来获得特定精度的连续边值问题的离散近似,而不是经典的各向同性网格细化。利用OVERFLOW的AMR能力,对湍流建模中感兴趣的问题提供精确解析解的估计。表面压力和表面摩擦的预测,本质上是表面的应力状态,与被认为是“网格解决”的网格几乎没有区别。另一方面,速度剖面显示出激波下流动的显著差异。在OVERFLOW 2.2k中实现的AMR方法似乎能够以可预测的成本产生任意精确的解决方案,比传统的均匀网格细化要小得多。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using Adaptive Mesh Refinement to Study Grid Resolution Effects for Shock-Boundary Layer Interactions
Adaptive Mesh Refinement (AMR) promises a much more computationally efficient means to obtain a discrete approximation to a continuous boundary value problem of a specified accuracy than classic isotropic grid refinement. The AMR capability of OVERFLOW is utilized to provide estimates of the exact analytical solutions to problems of interest for turbulence modeling. Predictions of surface pressure and skin friction, essentially the state of stress at the surface, shows little difference with grids believed to be “grid resolved.” Velocity profiles, on the other hand, show marked differences in flows with shocks. The AMR method, as implemented in OVERFLOW 2.2k, appears to provide the ability to produce arbitrarily accurate solutions at a predictable cost much smaller than classic uniform mesh refinement.
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