Explicit reduced-order models for the stabilized finite element approximation of the incompressible Navier-Stokes equations

被引:57
|
作者
Baiges, Joan [1 ,2 ]
Codina, Ramon [1 ,2 ]
Idelsohn, Sergio [1 ,3 ]
机构
[1] CIMNE, Barcelona 08034, Spain
[2] Univ Politecn Cataluna, ES-08034 Barcelona, Spain
[3] Inst Catalana Recerca & Estudis Avancats, Barcelona, Spain
基金
欧洲研究理事会;
关键词
reduced-order modeling; Navier-Stokes; finite element; explicit; POD: proper orthogonal decomposition; stabilized method; PROPER ORTHOGONAL DECOMPOSITION; PARTIAL-DIFFERENTIAL-EQUATIONS; FLOWS; PARAMETERS; PROJECTION; CYLINDER;
D O I
10.1002/fld.3777
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In this paper, we present an explicit formulation for reduced-order models of the stabilized finite element approximation of the incompressible Navier-Stokes equations. The basic idea is to build a reduced-order model based on a proper orthogonal decomposition and a Galerkin projection and treat all the terms in an explicit way in the time integration scheme, including the pressure. This is possible because the reduced model snapshots do already fulfill the continuity equation. The pressure field is automatically recovered from the reduced-order basis and solution coefficients. The main advantage of this explicit treatment of the incompressible Navier-Stokes equations is that it allows for the easy use of hyper-reduced order models, because only the right-hand side vector needs to be recovered by means of a gappy data reconstruction procedure. A method for choosing the optimal set of sampling points at the discrete level in the gappy procedure is also presented. Numerical examples show the performance of the proposed strategy. Copyright (c) 2013 John Wiley & Sons, Ltd.
引用
收藏
页码:1219 / 1243
页数:25
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