Elasto-plasticity revisited: Numerical analysis via reproducing kernel particle method and parametric quadratic programming

K. M. Liew, Y. C. Wu, G. P. Zou, T. Y. Ng

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

64 Citations (Scopus)

Abstract

Aiming to simplify the solution process of elasto-plastic problems, this paper proposes a reproducing kernel particle algorithm based on principles of parametric quadratic programming for elasto-plasticity. The parametric quadratic programming theory is useful and effective for the assessment of certain features of structural elasto-plastic behaviour and can also be exploited for numerical iteration. Examples are presented to illustrate the essential aspects of the behaviour of the model proposed and the flexibility of the coupled parametric quadratic programming formulations with the reproducing kernel particle method. Copyright © 2002 John Wiley & Sons, Ltd.
Original languageEnglish
Pages (from-to)669-683
JournalInternational Journal for Numerical Methods in Engineering
Volume55
Issue number6
DOIs
Publication statusPublished - 30 Oct 2002
Externally publishedYes

Research Keywords

  • Elasto-plasticity
  • Parametric quadratic programming
  • Reproducing kernel particle method (RKPM)

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