An efficient preconditioned iterative solver for solving a coupled fluid structure interaction problem

Martyn D. Hughes, Ke Chen*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)

Abstract

Modelling the interaction of an acoustic field in a fluid and an elastic structure submerged in die 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.

Original languageEnglish
Pages (from-to)583-594
Number of pages12
JournalInternational Journal of Computer Mathematics
Volume81
Issue number5
DOIs
Publication statusPublished - 1 May 2004

Keywords

  • A priori patterns
  • coupled linear systems
  • diagonal blocks
  • ill-conditioning
  • iterative methods
  • preconditioning
  • sparse approximate inverses
  • sparsiflcation

Fingerprint

Dive into the research topics of 'An efficient preconditioned iterative solver for solving a coupled fluid structure interaction problem'. Together they form a unique fingerprint.

Cite this