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Response Surfaces and Robust Design
Author(s) -
Schoofs A. J. G.
Publication year - 1999
Publication title -
zamm ‐ journal of applied mathematics and mechanics / zeitschrift für angewandte mathematik und mechanik
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.449
H-Index - 51
eISSN - 1521-4001
pISSN - 0044-2267
DOI - 10.1002/zamm.19990791315
Subject(s) - interface (matter) , computer science , range (aeronautics) , robust optimization , mathematical optimization , process (computing) , crash , noise (video) , response surface methodology , optimization problem , algorithm , engineering , mathematics , artificial intelligence , machine learning , aerospace engineering , bubble , maximum bubble pressure method , parallel computing , image (mathematics) , programming language , operating system
Abstract Response surface methods can be applied for building both global and mid‐range approximation models, to be used in structural optimization as an interface between analysis tools and optimization algorithms. This approach is particularly promising in those areas, where the structural behaviour or analysis process exhibits noise, because conventional optimization strategies often fail in such situations. This capability, together with the flexible approximation interface between analysis and optimization, results in a robust optimum structural design tool. The method is illustrated by means of a car crash safety problem.