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The approximate deconvolution model for large-eddy simulations of compressible flows and its application to shock-turbulent-boundary-layer interaction

机译:可压缩流大涡模拟的近似反褶积模型及其在激波湍流边界层相互作用中的应用

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A formulation of the approximate deconvolution. model (ADM) for the large-eddy simulation (LES) of compressible flows in complex geometries is detailed. The model is applied to supersonic compression ramp flow where shock-turbulence interaction occurs. With the ADM approach an approximation to the unfiltered solution is obtained from the filtered solution by a series expansion involving repeated filtering. Given a sufficiently good approximation of the unfiltered solution at a time instant, the flux terms of the underlying filtered transport equations can be computed directly, avoiding the need to explicitly compute subgrid-scale closures. The effect of nonrepresented scales is modeled by a relaxation regularization involving a secondary filter operation and a dynamically estimated relaxation parameter. Results of the large-eddy simulation of the, turbulent supersonic boundary layer along a compression ramp compare well with filtered DNS data. The filtered shock solution is correctly predicted by the ADM procedure, demonstrating that turbulent and nonturbulent subgrid-scales are properly modeled. We found that a computationally expensive shock-capturing technique was not necessary for stable integration. As a consequence, the computational effort for simulations with ADM is approximately as large as for a coarse-grid DNS with a hybrid compact-upwind-ENO scheme, since the additional computational cost for the subgrid-scale model is more than compensated due to the fact that in the LES flux-derivatives can be computed by linear central finite differences on the entire domain. (C) 2001 American Institute of Physics. [References: 40]
机译:近似反卷积的公式。详细介绍了用于复杂几何形状中可压缩流的大涡模拟(LES)的模型(ADM)。该模型适用于发生冲击-湍流相互作用的超音速压缩坡道流。通过ADM方法,通过涉及重复过滤的级数展开,可以从过滤后的溶液中获得未过滤溶液的近似值。给定某个时刻未过滤解的足够好的近似值,就可以直接计算基础过滤后的输运方程的通量项,而无需显式计算子网格规模的闭包。未表示比例的效果是通过松弛正则化建模的,该正则化涉及次级滤波器操作和动态估计的松弛参数。沿着压缩坡道的湍流超音速边界层的大涡模拟结果与过滤后的DNS数据比较好。通过ADM程序可以正确地预测过滤后的冲击解,这表明对湍流和非湍流子网格比例进行了正确建模。我们发现,对于稳定的集成,并不需要计算上昂贵的震动捕获技术。结果,由于使用ADM进行模拟的计算量大约与使用混合紧凑迎风ENO方案的粗网格DNS的计算量一样大,因为由于事实上,在LES中,通量导数可以通过整个域上的线性中心有限差分来计算。 (C)2001美国物理研究所。 [参考:40]

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