×

An efficient preconditioned iterative solver for solving a coupled fluid structure interaction problem. (English) Zbl 1093.76051

Summary: Modelling the interaction of an acoustic field in a fluid and an elastic structure submerged in the fluid leads to a system of complex linear equations with a complicated sparsity structure and, for higher wavenumbers and adequate modelling, the systems are very large. Direct methods are not practical. Preconditioned iterative methods, which are suitable for single operator equations, are not immediately applicable to the coupled case. This article proposes a block diagonal preconditioner of the sparse approximate inverse (SPAI) type that can accelerate the convergence of Krylov iterative solvers for the coupled system. Moreover, the proposed preconditioner can properly and implicitly scale the coupled matrix. Some numerical results are presented to demonstrate the effectiveness of the new method.

MSC:

76M25 Other numerical methods (fluid mechanics) (MSC2010)
65F10 Iterative numerical methods for linear systems
74F10 Fluid-solid interactions (including aero- and hydro-elasticity, porosity, etc.)

Software:

CGS
Full Text: DOI

References:

[1] Amini S., Coupled Boundary and Finite Element Methods for the Solution of the Dynamic Fluid-Structure Interaction Problem (1992)
[2] Chen K., Proc. 3rd UK BIE conf. pp pp. 139–148– (2001)
[3] DOI: 10.1137/S106482759833913X · Zbl 0957.65023 · doi:10.1137/S106482759833913X
[4] DOI: 10.1137/S1064827594270415 · Zbl 0922.65034 · doi:10.1137/S1064827594270415
[5] Colton D, D., Integral Equation Methods in Scattering Theory (1983) · Zbl 0522.35001
[6] Demmel J. W., Applied Numerical Linear Algebra (1997) · Zbl 0879.65017 · doi:10.1137/1.9781611971446
[7] DOI: 10.3934/dcds.2003.9.633 · Zbl 1039.35076 · doi:10.3934/dcds.2003.9.633
[8] Duff I. S., Direct Methods for Sparse Matrices (1986) · Zbl 0604.65011
[9] DOI: 10.1016/S0045-7825(97)00216-8 · Zbl 0951.74015 · doi:10.1016/S0045-7825(97)00216-8
[10] DOI: 10.1137/S1064827594276552 · Zbl 0872.65031 · doi:10.1137/S1064827594276552
[11] DOI: 10.1016/S0168-9274(98)00117-2 · Zbl 0927.65045 · doi:10.1016/S0168-9274(98)00117-2
[12] DOI: 10.1016/S0045-7825(96)01227-3 · Zbl 0901.76059 · doi:10.1016/S0045-7825(96)01227-3
[13] DOI: 10.1002/(SICI)1097-0207(19960530)39:10<1625::AID-NME921>3.0.CO;2-X · Zbl 0875.73357 · doi:10.1002/(SICI)1097-0207(19960530)39:10<1625::AID-NME921>3.0.CO;2-X
[14] Saad Y., Iterative Methods for Sparse Linear Systems. (1996) · Zbl 1031.65047
[15] Shewchuck J. R., An Introduction to the Conjugate Gradient Method without the Agonizing Pain (1994)
[16] DOI: 10.1137/0910004 · Zbl 0666.65029 · doi:10.1137/0910004
[17] Wilton D., MoD Research Report 3, Department of Mathematics (1974)
[18] DOI: 10.1007/s00466-002-0333-z · Zbl 1010.74595 · doi:10.1007/s00466-002-0333-z
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.