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首页> 外文期刊>International journal of computational fluid dynamics >A hybrid RANS/LES approach with scale-adaptive capabilities for highly separated flows
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A hybrid RANS/LES approach with scale-adaptive capabilities for highly separated flows

机译:一个混合RANS / LES方法,具有高度分离的流量的尺度适应性能力

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摘要

A new hybrid RANS/LES approach with scale-adaptive capabilities is developed. The blending function in the SST model is adopted to prevent the invasion of the von Karman length scale to the RANS region, and the compressibility correction proposed by Wilcox is incorporated to produce a realistic shear layer development in compressible flows. The new model is validated for a subcritical flow past a circular cylinder and a supersonic base flow. Time-averaged turbulent statistics predicted by the new model show fairly good agreement with the experimental data, slight improvements over DES simulations, and are much better than SAS results. The main advantage of the new model over the DES method is that the distribution of the blending function reflects local vortex structures instead of grid spacing in the turbulent wake. The sequence of the effect intensity of the compressibility correction from strong to weak is SAS, the new model and DES.
机译:开发了一种新的混合RAN / LES方法,具有规模适应性能力。 采用SST模型中的混合函数来防止von Karman长度向RAN地区的侵入,并且威尔科克克斯提出的可压缩性校正被纳入,以在可压缩流动中产生现实的剪切层显影。 新模型被验证用于亚临界流过圆柱和超音速基础流量。 新模型预测的时间平均湍流统计数据显示与实验数据相当愉快,对DES模拟的轻微改进,比SAS结果好得多。 新模型在DES方法上的主要优点是混合函数的分布反映了局部涡旋结构而不是湍流唤醒中的网格间距。 强度校正的效果强度的序列来自强度较弱的是SAS,新模型和DES。

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