Parallel iterative computational methods for 3D finite element flow simulations

Vinay Kalro, Tayfun E. Tezduyar

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

In this paper we discuss sparse matrix computational methods, and their parallel implementations, for evaluating matrix-vector products in iterative solution of coupled, nonlinear equations encountered in finite element flow simulations. Based on sparse computation schemes, we introduce globally-defined preconditioners by mixing clustered element-by-element preconditioning concept with incomplete factorization methods. These preconditioners are implemented on a CRAY T3D parallel supercomputer. In addition to being tested in a number of benchmarking studies, the sparse schemes discussed here are applied to 3D simulation of incompressible flow past a circular cylinder.

Original languageEnglish
Pages (from-to)173-183
Number of pages11
JournalComputer Assisted Mechanics and Engineering Sciences
Volume5
Issue number2
Publication statusPublished - 1998
Externally publishedYes

Fingerprint

Flow simulation
Computational methods
Supercomputers
Incompressible flow
Benchmarking
Circular cylinders
Factorization
Nonlinear equations

ASJC Scopus subject areas

  • Computational Mechanics
  • Mechanical Engineering
  • Computer Science Applications

Cite this

Parallel iterative computational methods for 3D finite element flow simulations. / Kalro, Vinay; Tezduyar, Tayfun E.

In: Computer Assisted Mechanics and Engineering Sciences, Vol. 5, No. 2, 1998, p. 173-183.

Research output: Contribution to journalArticle

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