Mixed finite element methods with convection stabilization for the large eddy simulation of incompressible turbulent flows

被引:13
|
作者
Colomes, Oriol [1 ]
Badia, Santiago [1 ,2 ]
Principe, Javier [1 ,2 ]
机构
[1] UPC, CIMNE, Parc Mediterrani Tecnol,Esteve Terradas 5, Castelldefels 08860, Spain
[2] Univ Politecn Cataluna, Jordi Girona 1-3,Edifici C1, ES-08034 Barcelona, Spain
基金
欧洲研究理事会;
关键词
Large eddy simulation; Turbulence; Variational multiscale; Block recursive preconditioning; Grad-div stabilization; VARIATIONAL MULTISCALE METHOD; LOCAL PROJECTION STABILIZATION; OSEEN PROBLEM; CHANNEL FLOW; APPROXIMATION; MODELS; FORMULATION; EQUATIONS;
D O I
10.1016/j.cma.2016.02.026
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The variational multiscale method thought as an implicit large eddy simulation model for turbulent flows has been shown to be an alternative to the widely used physical-based models. This method is traditionally combined with equal-order velocity-pressure pairs, since it provides pressure stabilization. In this work, we consider a different approach, based on inf-sup stable elements and convection-only stabilization. In order to do so, we consider a symmetric projection stabilization of the convective term using an orthogonal subscale decomposition. The accuracy and efficiency of this method compared with residual-based algebraic subgrid scales and orthogonal subscales methods for equal-order interpolation is assessed in this paper. Moreover, when inf-sup stable elements are used, the grad-div stabilization term has been shown to be essential to guarantee accurate solutions. Hence, a study of the influence of such term in the large eddy simulation of turbulent incompressible flows is also performed. Furthermore, a recursive block preconditioning strategy has been considered for the resolution of the problem with an implicit treatment of the projection terms. Two different benchmark tests have been solved: the Taylor-Green Vortex flow with Re = 1600, and the Turbulent Channel Flow at Re-tau = 395 and Re-tau = 590. (C) 2016 Elsevier B.V. All rights reserved.
引用
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页码:294 / 318
页数:25
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