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On non-probabilistic reliability-based design optimization of structures with uncertain-but-bounded parameters

  • Zhan Kang*
  • , Yangjun Luo
  • , Alex Li
  • *Corresponding author for this work
  • Dalian University of Technology
  • Northwestern Polytechnical University Xian
  • Université de Reims Champagne-Ardenne

Research output: Contribution to journalArticlepeer-review

Abstract

This paper investigates the formulation and numerical solution of reliability-based optimization of structures exhibiting grouped uncertain-but-bounded variations. Based on the multi-ellipsoid convex model description for grouped uncertain-but-bounded parameters, the mathematical definition of a non-probabilistic reliability index is presented for quantified measure of the safety margin. The optimal design is then formulated as a nested optimization problem. A method based on concerned performance is proposed for regularization of the reliability index constraints. The expensive computation of the non-probabilistic reliability index and its derivative is thus avoided. Numerical examples are given to illustrate the validity and efficiency of the present method.

Original languageEnglish
Pages (from-to)196-205
Number of pages10
JournalStructural Safety
Volume33
Issue number3
DOIs
StatePublished - May 2011
Externally publishedYes

Keywords

  • Convex model
  • Non-probabilistic reliability
  • Sensitivity analysis
  • Structural optimization
  • Uncertainty

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