Reliability sensitivity analysis and reliability-based design optimization based on stochastic response surfaces method

Hong Wei Qiao, Zhen Zhou Lü, Xin Pan Zhao

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

A reliability sensitivity analysis method is established on the basis of Stochastic Response Surfaces Method (SRSM), and it is applied to reliability-based design optimization. The implicit structural response function is transformed to an explicit one by SRSM in the present method, then structure failure probability and reliability sensitivity can be obtained from the explicit response function. Furthermore, the reliability sensitivity can also provide gradient information for gradient based optimization algorithm. Two examples demonstrate high efficiency and high precision of the present reliability sensitivity method, on which the design efficiency of the reliability-based design optimization is improved.

Original languageEnglish
Pages (from-to)207-212+237
JournalJisuan Lixue Xuebao/Chinese Journal of Computational Mechanics
Volume27
Issue number2
StatePublished - Apr 2010

Keywords

  • Failure probability
  • Reliability sensitivity analysis
  • Reliability-based design optimization
  • Stochastic response surfaces method

Fingerprint

Dive into the research topics of 'Reliability sensitivity analysis and reliability-based design optimization based on stochastic response surfaces method'. Together they form a unique fingerprint.

Cite this