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Comparison of Subgrid-scale Viscosity Models and Selective Filtering Strategy for Large-eddy Simulations

机译:大涡模拟的亚网格尺度粘度模型与选择性过滤策略的比较

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摘要

Explicitly filtered large-eddy simulations (LES), combining high-accuracy schemes with the use of a selective filtering without adding an explicit subgrid-scales (SGS) model, are carried out for the Taylor-Green-vortex and the supersonic-boundary-layer cases. First, the present approach is validated against direct numerical simulation (DNS) results. Subsequently, several SGS models are implemented in order to investigate if they can improve the initial filter-based methodology. It is shown that the most accurate results are obtained when the filtering is used alone as an implicit model, and for a minimal cost. Moreover, the tests for the Taylor-Green vortex indicate that the discretization error from the numerical methods, notably the dissipation error from the high-order filtering, can have a greater influence than the SGS models.
机译:对泰勒-格林涡旋和超音速边界-涡旋进行了显式过滤的大涡模拟(LES),该方法将高精度方案与选择性过滤的使用相结合,而未添加显式的子网格尺度(SGS)模型。图层案例。首先,针对直接数值模拟(DNS)结果验证了本方法。随后,实施了多个SGS模型,以研究它们是否可以改善基于初始过滤器的方法。结果表明,当单独使用滤波作为隐式模型时,可以获得最准确的结果,并且成本最低。此外,对泰勒-格林涡旋的测试表明,数值方法的离散化误差,特别是高阶滤波的耗散误差,比SGS模型的影响更大。

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