Design optimization of vehicle crashworthiness based on new MDO method

Qian Zhao, Xiao Kai Chen, Yi Lin*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

The multidisciplinary design optimization (MDO) methods can be used to solve the design problems of large-scale complex engineering system effectively. In order to deal well with the quasi-separable MDO problems usually encountered, a two-level alternating optimization method based on penalty function (PAO) method was introduced. PAO is based on decomposition and coordination strategy, that is, the quasi-separable MDO problem is decomposed into a system level problem and many sub-system level problems, and then the sub-system level problems are solved alternately to achieve the consistency among all sub-systems. PAO was first used to the design optimization of a vehicle crashworthiness problem. Results revealed that this method is effective.

Original languageEnglish
Pages (from-to)1487-1491
Number of pages5
JournalJilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition)
Volume40
Issue number6
Publication statusPublished - Nov 2010

Keywords

  • Decomposition and coordination strategy
  • Multidisciplinary design optimization methods
  • Penalty function
  • Quasi-separable MDO problems
  • Vehicle crashworthiness
  • Vehicle engineering

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