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

被引:25
作者
Bull, Jonathan R. [1 ]
Jameson, Antony [2 ]
机构
[1] Uppsala Univ, Dept Informat Technol, Div Sci Comp, Uppsala, Sweden
[2] Stanford Univ, Dept Aeronaut & Astronaut, Aerosp Comp Lab, Stanford, CA 94305 USA
基金
美国国家科学基金会;
关键词
Large eddy simulation; Differential filter; Defiltering; Deconvolution; Turbulent channel flow; SUBGRID-SCALE; CHANNEL FLOW; DIFFERENTIAL FILTERS; NUMERICAL ERRORS; MODEL; LES;
D O I
10.1016/j.jcp.2015.11.037
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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.
引用
收藏
页码:117 / 136
页数:20
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