Product design optimization with simulation-based reliability analysis

Rong Pan, Xiaotian Zhuang, Qing Sun

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

Evaluating probabilistic constraints plays a very important role in the reliability-based design optimization (RBDO). Traditional Monte Carlo simulation-based approach can provide a high accuracy but with low efficiency. In this paper, a subset simulation-based reliability analysis approach is provided to address the efficiency problem. The method is also compared with the typical MPP-based method.

Original languageEnglish (US)
Title of host publicationProceedings of 2012 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, ICQR2MSE 2012
Pages1028-1032
Number of pages5
DOIs
StatePublished - Sep 28 2012
Event2012 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, ICQR2MSE 2012 - Chengdu, China
Duration: Jun 15 2012Jun 18 2012

Publication series

NameProceedings of 2012 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, ICQR2MSE 2012

Other

Other2012 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, ICQR2MSE 2012
CountryChina
CityChengdu
Period6/15/126/18/12

Keywords

  • most probable point
  • reliability-based design optimization
  • subset simulation

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality

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  • Cite this

    Pan, R., Zhuang, X., & Sun, Q. (2012). Product design optimization with simulation-based reliability analysis. In Proceedings of 2012 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, ICQR2MSE 2012 (pp. 1028-1032). [6246398] (Proceedings of 2012 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, ICQR2MSE 2012). https://doi.org/10.1109/ICQR2MSE.2012.6246398