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An efficient 137-line MATLAB code for geometrically nonlinear topology optimization using bi-directional evolutionary structural optimization method

  • Yongsheng Han
  • , Bin Xu
  • , Yuanhao Liu
  • Northwestern Polytechnical University Xian

Research output: Contribution to journalArticlepeer-review

55 Scopus citations

Abstract

Topology optimization, as a powerful conceptual design method, has been widely adopted in both academic research and industrial applications. To further promote the development of topology optimization, many computer programs have been published for educational purposes over the past decades. However, most of the computer programs are constructed based on a linear assumption. On the basis of bi-directional evolutionary structural optimization (BESO) method, the paper presents a MATLAB implementation of the geometrically nonlinear topology optimization code for compliance minimization of statically loaded structures. Excluding 19 lines which are used for explanation, only 118 lines are needed for the initialization of the design parameters, nonlinear finite element analysis, sensitivity calculation, sensitivity filtration, and topological design variables update. Different design problems can be solved by modifying several lines in the proposed program. The complete 137-line code is included as an Appendix and is intended for educational purposes only.

Original languageEnglish
Pages (from-to)2571-2588
Number of pages18
JournalStructural and Multidisciplinary Optimization
Volume63
Issue number5
DOIs
StatePublished - May 2021

Keywords

  • BESO method
  • Education
  • Geometrically nonlinear
  • MATLAB code
  • Topology optimization

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