Reliability-based multidisciplinary design optimization for turbine blade using double loop approach

Jun Ni, Kua Hai Yu, Zhu Feng Yue

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

A reliability-based multidisciplinary design optimization (RBMDO) framework for turbine blade was presented. Double loop approach was used to integrate the reliability analysis and the optimization method. Multidisciplinary feasible method was used to decouple the multidisciplinary analysis. Kriging model was employed to establish the approximation of the multidisciplinary analysis. The Hasofer-Lind Rackwitz-Fiessler (HL-RF) algorithm for reliability analysis was recommended systematically. Based on the approximation, the RBMDO framework was finished. The case study shows that, this framework could make the design reach the best performance with a good reliability. It indicates that the reliability-based multidisciplinary design optimization method is available and feasible for the engineering application.

Original languageEnglish
Pages (from-to)2051-2056
Number of pages6
JournalHangkong Dongli Xuebao/Journal of Aerospace Power
Volume24
Issue number9
StatePublished - Sep 2009

Keywords

  • Double loop approach
  • Hasofer-Lind Rackwitz-Fiessler (HL-RF) algorithm
  • Kriging model
  • Multidisciplinary design optimization
  • Turbine blade

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