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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Etman, L.F.P., Adriaens, J.M.T.A., van Slagmaat, M.T.P. et al. Crash worthiness design optimization using multipoint sequential linear programming. Structural Optimization 12, 222–228 (1996). https://doi.org/10.1007/BF01197360
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DOI: https://doi.org/10.1007/BF01197360