Application of conservative surrogate to reliability based vehicle design for crashworthiness

Feng Pan, Ping Zhu, Wei Chen, Chen Zhao Li

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

Surrogate models are commonly used for approximation of large computationally expensive vehicle crash simulation to facilitate rapid design space exploration and optimization. Unfortunately, the optimum design based on surrogates may turn out to be infeasible after running finite element crash simulation due to the surrogate errors. To meet this challenge, conservative strategy of surrogate modeling through compensating fitting errors was used for reliability based design optimization of vehicle structures for crashworthiness and weight reduction. The critical crash responses were constructed by unbiased kriging models, and conservative surrogates were obtained via adding safety margin to estimate the crash responses conservatively. The benefits of using conservative surrogates for reliability based design optimization were investigated in the context of constraint feasibility of the optimum designs through a mathematical example and a case study on vehicle crashworthiness design. The results demonstrate that optimization based on conservative surrogate helps to achieve the feasible optimum design, showing more attractive for reliability based design optimization in engineering applications.

Original languageEnglish (US)
Pages (from-to)159-165
Number of pages7
JournalJournal of Shanghai Jiaotong University (Science)
Volume18
Issue number2
DOIs
StatePublished - Apr 1 2013

Keywords

  • conservative surrogate
  • crashworthiness design
  • kriging model
  • reliability based design optimization
  • weight reduction

ASJC Scopus subject areas

  • General

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