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Explicit filtering and exact reconstruction of the sub-filter stresses in large eddy simulation

机译:大涡模拟中的显式过滤和子过滤器应力的精确重建

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Explicit filtering has the effect of reducing numerical or aliasing errors near the grid scale in large eddy simulation (LES). We use a differential filter, namely the inverse Helmholtz operator, which is readily applied to unstructured meshes. The filter is invertible, which allows the sub-filter scale (SFS) stresses to be exactly reconstructed in terms of the filtered solution. Unlike eddy viscosity models, the method of filtering and reconstruction avoids making any physical assumptions and is therefore valid in any flow regime. The subgrid scale (SGS) stresses are not recoverable by reconstruction, but the second-order finite element method used here is an adequate source of numerical dissipation in lieu of an SGS model. Results for incompressible turbulent channel flow at Re-tau = 180 are presented which show that explicit filtering and exact SFS reconstruction is a significant improvement over the standard LES approach of implicit filtering and eddy-viscosity SGS modelling. (C) 2015 Elsevier Inc. All rights reserved.
机译:在大涡模拟(LES)中,显式过滤具有减少网格尺度附近的数字或混叠误差的效果。我们使用微分滤波器,即逆亥姆霍兹算子,它很容易应用于非结构化网格。该过滤器是可逆的,从而可以根据过滤后的溶液精确地重构子过滤器比例(SFS)应力。与涡流粘度模型不同,过滤和重构方法避免了任何物理假设,因此在任何流动状态下均有效。亚网格尺度(SGS)应力无法通过重建来恢复,但是此处使用的二阶有限元方法是代替SGS模型的数值耗散的充分来源。给出了Re-tau = 180时不可压缩湍流的流动结果,表明显式滤波和精确的SFS重构是对隐式滤波和涡粘性SGS建模的标准LES方法的显着改进。 (C)2015 Elsevier Inc.保留所有权利。

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