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Dynamic unified RANS-LES simulations of high Reynolds number separated flows

机译:高雷诺数分离流的动态统一RANS-LES模拟

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The development of hybrid RANS-LES methods is seen to be a very promising approach to enable efficient simulations of high Reynolds number turbulent flows involving flow separation. To contribute to further advances, we present a new, theoretically well based, dynamic hybrid RANS-LES method, referred to as DLUM. It is applied to a high Reynolds number flow involving both attached and separated flow regimes: a periodic hill flow is simulated at a Reynolds number of 37 000. Its performance is compared to pure LES, pure RANS, other hybrid RANS-LES (given by DLUM modifications), and experimental observations. It is shown that the use of this computational method offers huge cost reductions (which scale with Re/200, Re refers to the Reynolds number) of very high Reynolds number flow simulations compared to LES, it is much more accurate than RANS, and more accurate than LES, which is not fully resolved. In particular, this conclusion does also apply to the comparison of DLUM and pure LES simulations on rather coarse grids, which are often simply required to deal with simulations of very high Reynolds number flows: the DLUM provides mean velocity fields which are hardly affected by the grid, whereas LES velocity fields reveal significant shortcomings. We identified the reason for the superior performance of our new dynamic hybrid RANS-LES method compared to LES: it is the model's ability to respond to a changing resolution with adequate turbulent viscosity changes by ensuring simultaneously a physically correct turbulence length scale specification under the presence of interacting RANS and LES modes. Published by AIP Publishing.
机译:混合RANS-LES方法的开发被认为是一种非常有前途的方法,可以有效地模拟涉及流分离的高雷诺数湍流。为了促进进一步的发展,我们提出了一种新的,理论上良好的动态混合RANS-LES方法,称为DLUM。它适用于涉及附加流态和分离流态的高雷诺数流:在雷诺数为37 000时模拟了周期性的山坡流。将其性能与纯LES,纯RANS和其他混合RANS-LES进行了比较(由DLUM修改)和实验观察。结果表明,与LES相比,使用非常高的雷诺数流模拟,这种计算方法的使用可大大降低成本(以Re / 200缩放,Re表示雷诺数),它比RANS精确得多,并且还有更多比LES准确,但尚未完全解决。特别是,该结论也确实适用于在相当粗糙的网格上进行DLUM和纯LES仿真的比较,这通常仅用于处理非常高的雷诺数流的仿真:DLUM提供的平均速度场几乎不受该影响网格,而LES速度场显示出明显的缺点。我们确定了与LES相比,我们新的动态混合RANS-LES方法具有更高性能的原因:这是该模型能够通过在存在的情况下同时确保物理上正确的湍流长度尺度规格来响应变化的分辨率和适当的湍流粘度变化的能力RANS和LES模式的交互作用。由AIP Publishing发布。

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