Crashworthiness design optimization using multipoint sequential linear programming

L.F.P. Etman; J.M.T.A. Adriaens; M.T.P. Slagmaat, van; A.J.G. Schoofs

doi:10.1007/BF01197360

Crashworthiness design optimization using multipoint sequential linear programming

L.F.P. Etman, J.M.T.A. Adriaens, M.T.P. Slagmaat, van, A.J.G. Schoofs

Research output: Contribution to journal › Article › Academic › peer-review

48 Citations (Scopus)

Abstract

A design optimization tool has been developed for the crash victim simulation software MADYMO. The crash worthiness optimization problem is characterized by a noisy behaviour of objective function and constraints. Additionally, objective function and constraint values follow from a computationally expensive numerical analysis. Sequential approximate optimization is used to deal with both the noisy functional behaviour and the high computational costs. By means of multipoint approximations, a sequence of linear programming problems is generated that can be easily solved. The optimization approach is illustrated for an analytical test problem and an industrial crash worthiness design problem.

Original language	English
Pages (from-to)	222-228
Journal	Structural and Multidisciplinary Optimization
Volume	12
Issue number	4
DOIs	https://doi.org/10.1007/BF01197360
Publication status	Published - 1996

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abstract = "A design optimization tool has been developed for the crash victim simulation software MADYMO. The crash worthiness optimization problem is characterized by a noisy behaviour of objective function and constraints. Additionally, objective function and constraint values follow from a computationally expensive numerical analysis. Sequential approximate optimization is used to deal with both the noisy functional behaviour and the high computational costs. By means of multipoint approximations, a sequence of linear programming problems is generated that can be easily solved. The optimization approach is illustrated for an analytical test problem and an industrial crash worthiness design problem.",

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AB - A design optimization tool has been developed for the crash victim simulation software MADYMO. The crash worthiness optimization problem is characterized by a noisy behaviour of objective function and constraints. Additionally, objective function and constraint values follow from a computationally expensive numerical analysis. Sequential approximate optimization is used to deal with both the noisy functional behaviour and the high computational costs. By means of multipoint approximations, a sequence of linear programming problems is generated that can be easily solved. The optimization approach is illustrated for an analytical test problem and an industrial crash worthiness design problem.

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Crashworthiness design optimization using multipoint sequential linear programming

Abstract

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