An enhanced parallel sub-domain generation method for mesh partitioning in parallel finite element analysis

J. Sziveri, C. F. Seale, B. H V Topping

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

This paper describes an optimization and artificial intelligence-based approach for solving the mesh partitioning problem for explicit parallel dynamic finite element analysis. The Sub-Domain Generation Method (SGM) (Topping, Khan, Parallel Finite Element Computations. Saxe-Coburg Publications: Edinburgh, U.K., 1996) is briefly introduced with its virtues and drawbacks. This paper describes the enhancement of the SGM algorithm (ESGM) by the introduction of a new, non-convex bisection procedure and a new Genetic Algorithm (GA) module, which is better tuned for this particular optimization problem. Example decompositions are given and comparisons made between parallel versions of the ESGM, the SGM and other decomposition methods. The scalability of the ESGM is examined by using a range of examples. Copyright © 2000 John Wiley & Sons, Ltd.

Original languageEnglish
Pages (from-to)1773-1800
Number of pages28
JournalInternational Journal for Numerical Methods in Engineering
Volume47
Issue number10
Publication statusPublished - 10 Apr 2000

Keywords

  • Adaptivity
  • Genetic algorithms
  • Mesh generation
  • Neural networks
  • Parallel
  • Partitioning

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