Modular vs. non-modular preconditioners for fluid-structure systems with large added-mass effect

被引:98
作者
Badia, Santiago [1 ,2 ]
Quaini, Annalisa [3 ]
Quarteroni, Alfio [3 ,4 ]
机构
[1] Univ Politecn Cataluna, CIMNE, ES-08034 Barcelona, Spain
[2] Sandia Natl Labs, Albuquerque, NM 87185 USA
[3] Ecole Polytech Fed Lausanne, IACS, Chair Modeling & Sci Comp, CH-1015 Lausanne, Switzerland
[4] Politecn Milan, Dipartimento Matemat F Brioschi, MOX, I-20133 Milan, Italy
基金
瑞士国家科学基金会;
关键词
Fluid-structure interaction; Partitioned procedures; Preconditioners; Semi-implicit coupling; Added-mass effect; Hemodynamics;
D O I
10.1016/j.cma.2008.04.018
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In this article we address the numerical simulation of fluid-structure interaction (FSI) problems featuring large added-mass effect. We analyze different preconditioners for the coupled system matrix obtained after space-time discretization and linearization of the FSI problem. The classical Dirichlet-Neumann preconditioner has the advantage of "modularity" because it allows to reuse existing fluid and structure codes with minimum effort (simple interface communication). Unfortunately, its performance is very poor in case of large added-mass effects. Alternatively, we consider two non-modular approaches. The first one consists in preconditioning the coupled system with a suitable diagonal scaling combined with an [LUT preconditioner. The system is then solved by a Krylov method. The drawback of this procedure is that the combination of fluid and structure codes to solve the coupled system is not straightforward. The second non-modular approach we consider is a splitting technique based on an inexact block-LU factorization of the linear FSI system. The resulting algorithm computes the fluid velocity separately from the coupled pressure-structure system at each iteration, reducing the computational cost. Independently of the preconditioner, the efficiency of semi-implicit algorithms (i.e., those that treat geometric and fluid nonlinearities in an explicit way) is highlighted and their performance compared to the one of implicit algorithms. All the methods are tested on three-dimensional blood-vessel systems. The algorithm combining the non-modular ILUT preconditioner with Krylov methods proved to be the fastest. (c) 2008 Elsevier B.V. All rights reserved.
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页码:4216 / 4232
页数:17
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