An efficient method for reliability based design optimization

Kunjal Oza, Hae Gea

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

1 Scopus citations


In search of improved design, Reliability Based Design Optimization using probabilistic constraints has evolved as a powerful tool, however extensive computational efforts necessary for RBDO being one of the biggest challenges in this field. In order to evaluate probabilistic constraints, single loop and double loop strategies have been successfully used, the number of function evaluations being a decisive comparison criteria. However, when applied to complicated functions, above techniques lead to much higher number of function evaluations. Efforts to make RBDO technique computationally feasible have generated superior single loop strategy presented in this paper, dealing with the approximated form of the original functions. At the same time, improved Most Probable Point search algorithm has been used providing modified gradient information for fast convergence of the constraints. Above method is successfully tested on some problems, and results are compared with those obtained from other standard methods of RBDO dealing with original functions.

Original languageEnglish (US)
Title of host publication2004 SAE World Congress
StatePublished - Dec 1 2004
Event2004 SAE World Congress - Detroit, MI, United States
Duration: Mar 8 2004Mar 11 2004


Other2004 SAE World Congress
Country/TerritoryUnited States
CityDetroit, MI

All Science Journal Classification (ASJC) codes

  • Automotive Engineering
  • Safety, Risk, Reliability and Quality
  • Pollution
  • Industrial and Manufacturing Engineering


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