Application of the sequential parametric convex approximation method to the design of robust trusses

Alfredo Canelas, Miguel Carrasco, Julio López

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

We study an algorithm recently proposed, which is called sequential parametric approximation method, that finds the solution of a differentiable nonconvex optimization problem by solving a sequence of differentiable convex approximations from the original one. We show as well the global convergence of this method under weaker assumptions than those made in the literature. The optimization method is applied to the design of robust truss structures. The optimal structure of the model considered minimizes the total amount of material under mechanical equilibrium, displacements and stress constraints. Finally, Robust designs are found by considering load perturbations.

Original languageEnglish
Pages (from-to)169-187
Number of pages19
JournalJournal of Global Optimization
Volume68
Issue number1
DOIs
StatePublished - 1 May 2017

Bibliographical note

Publisher Copyright:
© 2016, Springer Science+Business Media New York.

Keywords

  • Robust design
  • Sequential parametric convex approximation
  • Stress constraints
  • Truss optimization

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