A zonal Galerkin-free POD model for incompressible flows

被引：35

作者：

Bergmann, Michel ^{[1
,2
,3
]}

Ferrero, Andrea ^{[1
,2
,3
]}

Iollo, Angelo ^{[1
,2
,3
]}

Lombardi, Edoardo ^{[4
]}

Scardigli, Angela ^{[4
,5
]}

Telib, Haysam ^{[4
]}

机构：

[1] INRIA, Memphis Team, F-33400 Talence, France

[2] Univ Bordeaux, IMB, UMR 5251, F-33400 Talence, France

[3] CNRS, IMB, UMR 5251, F-33400 Talence, France

[4] Optimad Engn, I-10143 Turin, Italy

[5] Politecn Torino, I-10129 Turin, Italy

来源：

JOURNAL OF COMPUTATIONAL PHYSICS | 2018年 / 352卷

基金：

欧盟地平线“2020”;

关键词：

POD; Reduced order model; Boundary conditions; Shape optimisation; Galerkin-free model; IMMERSED BOUNDARY METHOD; REDUCED-ORDER MODELS; GLOBAL STABILITY; REDUCTION; DECOMPOSITION; OPTIMIZATION; TURBULENCE; STEADY; NEED; TERM;

D O I：

10.1016/j.jcp.2017.10.001

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

A domain decomposition method which couples a high and a low-fidelity model is proposed to reduce the computational cost of a flow simulation. This approach requires to solve the high-fidelity model in a small portion of the computational domain while the external field is described by a Galerkin-free Proper Orthogonal Decomposition (POD) model. We propose an error indicator to determine the extent of the interior domain and to perform an optimal coupling between the two models. This zonal approach can be used to study multi-body configurations or to perform detailed local analyses in the framework of shape optimisation problems. The efficiency of the method to perform predictive low-cost simulations is investigated for an unsteady flow and for an aerodynamic shape optimisation problem. (C) 2017 Elsevier Inc. All rights reserved.

引用

页码：301 / 325

页数：25

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