160
Views
9
CrossRef citations to date
0
Altmetric
Section B

Multi-region adaptive finite element-boundary element method for elasto-plastic analysis

Pages 1525-1539 | Received 17 Sep 2011, Accepted 15 May 2012, Published online: 13 Jun 2012
 

Abstract

In this paper, a multi-region adaptive finite element–boundary element (FEM-BEM) method for elasto-plastic analysis is presented. The method is suitable for several plasticity models, i.e. von-Mises, Tresca, Mohr–Coulomb, Drucker–Prager, Hill, and Hoffman yield criteria. The domain of the original problem is divided into the finite element and the boundary element sub-domains: the FEM is utilized in regions where plastic material behaviour is expected to develop, whereas the complementary linear elastic region is approximated using the symmetric Galerkin BEM. The adaptive method estimates the finite element and boundary element sub-domains, automatically generates the corresponding meshes and adapts the sub-domains, according to the state of computation.

2000 AMS Subject Classifications :

Acknowledgements

The author thanks Prof. O. Steinbach, Graz University of Technology, for providing symmetric Galerkin boundary element computer code utilized in some parts of this investigation. Special thanks go to Dr Ahmed Elkadi, TNO DIANA, for the support and help he provided in conducting the finite element computations for one of the examples presented in this paper.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,129.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.