Table of Content

Open Access iconOpen Access

ABSTRACT

A Numerical Method Based On Element Free Galerkin Method For Lower Bound Limit Analysis

by S.S. Chen1, Y.H. Liu1, Z.Z. Cen1

Department of Engineering Mechanics, Tsinghua University, Beijing, China

The International Conference on Computational & Experimental Engineering and Sciences 2007, 3(3), 145-150. https://doi.org/10.3970/icces.2007.003.145

Abstract

A solution procedure for lower bound limit analysis is presented making use of the element free Galerkin (EFG) method rather than of the traditional numerical methods such as finite element method and boundary element method. A reduced basis technique is adopted to solve the mathematical programming iteratively in a sequence of reduced self-equilibrium stress subspaces with very low dimensions. Numerical example in this paper shows that it is feasible and efficient to solve the problems of limit analysis by using the EFG method.

Cite This Article

APA Style
Chen, S., Liu, Y., Cen, Z. (2007). A numerical method based on element free galerkin method for lower bound limit analysis. The International Conference on Computational & Experimental Engineering and Sciences, 3(3), 145-150. https://doi.org/10.3970/icces.2007.003.145
Vancouver Style
Chen S, Liu Y, Cen Z. A numerical method based on element free galerkin method for lower bound limit analysis. Int Conf Comput Exp Eng Sciences . 2007;3(3):145-150 https://doi.org/10.3970/icces.2007.003.145
IEEE Style
S. Chen, Y. Liu, and Z. Cen, “A Numerical Method Based On Element Free Galerkin Method For Lower Bound Limit Analysis,” Int. Conf. Comput. Exp. Eng. Sciences , vol. 3, no. 3, pp. 145-150, 2007. https://doi.org/10.3970/icces.2007.003.145



cc Copyright © 2007 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
  • 1048

    View

  • 768

    Download

  • 0

    Like

Share Link