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

Authors :
Liew, K. M.
Wu, Y. C.
Zou, G. P.
Ng, T. Y.
Source :
International Journal for Numerical Methods in Engineering; 30 October 2002, Vol. 55 Issue: 6 p669-683, 15p
Publication Year :
2002

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.

Details

Language :
English
ISSN :
00295981 and 10970207
Volume :
55
Issue :
6
Database :
Supplemental Index
Journal :
International Journal for Numerical Methods in Engineering
Publication Type :
Periodical
Accession number :
ejs3649978
Full Text :
https://doi.org/10.1002/nme.523