Trust region methods for structural optimization using exact second order sensitivity

M. Sunar, A. D. Belegundu

Research output: Contribution to journalArticlepeer-review

44 Scopus citations

Abstract

The performance of multiplier algorithms for structural optimization has been significantly improved by using trust regions. The trust regions are constructed using analytical second order sensitivity, and within this region, the augmented Lagrangian ϕ is minimized subject to bounds. Evaluation of first and second derivatives of ϕ by the adjoint method does not require derivations of individual (implicit) constraint functions, which makes the method economical. Eight test problems are considered and a vast improvement over previously used multiplier algorithms has been noted. Also, the algorithm is robust with respect to scaling, input parameters and starting designs.

Original languageEnglish (US)
Pages (from-to)275-293
Number of pages19
JournalInternational Journal for Numerical Methods in Engineering
Volume32
Issue number2
DOIs
StatePublished - Aug 5 1991

All Science Journal Classification (ASJC) codes

  • Numerical Analysis
  • General Engineering
  • Applied Mathematics

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