Stress-constrained topology optimization with design-dependent loading

Edmund Lee, Kai James, Joaquim R.R.A. Martins

Research output: Contribution to journalArticle

Abstract

The purpose of this paper is to apply stress constraints to structural topology optimization problems with design-dependent loading. A comparison of massconstrained compliance minimization solutions and stressconstrained mass minimization solutions is also provided. Although design-dependent loading has been the subject of previous research, only compliance minimization has been studied. Stress-constrained mass minimization problems are solved in this paper, and the results are compared with those of compliance minimization problems for the same geometries and loading. A stress-relaxation technique is used to avoid the singularity in the stress constraints, and these constraints are aggregated in blocks to reduce the total number of constraints in the optimization problem. The results show that these design-dependent loading problems may converge to a local minimum when the stress constraints are enforced. The use of a continuation method where the stress-constraint aggregation parameter is gradually increased typically leads to better convergence; however, this may not always be possible. The results also show that the topologies of compliance-minimization and stress-constrained solutions are usually vastly different, and the sizing optimization of a compliance solution may not lead to an optimum.

Original languageEnglish (US)
Pages (from-to)647-661
Number of pages15
JournalStructural and Multidisciplinary Optimization
Volume46
Issue number5
DOIs
StatePublished - Nov 1 2012
Externally publishedYes

Keywords

  • Block aggregated constraints
  • Design dependent loads
  • Pressure loading
  • Self-weight
  • Stress constraints
  • Topology optimization

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design
  • Control and Optimization

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