RSM based design optimization

J.J.M. Rijpkema; A.J.G. Schoofs; L.F.P. Etman

doi:10.1002/zamm.200108115121

RSM based design optimization

J.J.M. Rijpkema, A.J.G. Schoofs, L.F.P. Etman

Mechanical Engineering

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

Abstract

Response Surface Models (RSM) based on data from designed numerical experiments are useful as approximation models in Engineering Optimization. Their construction can be enhanced by the inclusion of design sensitivity data. In this short paper we discuss two strategies to accomplish this. We compare both strategies in a numerical example and draw some general conclusions regarding their practical value.

Original language	English
Pages (from-to)	S691-S692
Number of pages	2
Journal	Zeitschrift für Angewandte Mathematik und Mechanik
Volume	81
Issue number	S3
DOIs	https://doi.org/10.1002/zamm.200108115121
Publication status	Published - 2001

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title = "RSM based design optimization",

abstract = "Response Surface Models (RSM) based on data from designed numerical experiments are useful as approximation models in Engineering Optimization. Their construction can be enhanced by the inclusion of design sensitivity data. In this short paper we discuss two strategies to accomplish this. We compare both strategies in a numerical example and draw some general conclusions regarding their practical value.",

author = "J.J.M. Rijpkema and A.J.G. Schoofs and L.F.P. Etman",

year = "2001",

doi = "10.1002/zamm.200108115121",

language = "English",

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AU - Schoofs, A.J.G.

AU - Etman, L.F.P.

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AB - Response Surface Models (RSM) based on data from designed numerical experiments are useful as approximation models in Engineering Optimization. Their construction can be enhanced by the inclusion of design sensitivity data. In this short paper we discuss two strategies to accomplish this. We compare both strategies in a numerical example and draw some general conclusions regarding their practical value.

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DO - 10.1002/zamm.200108115121

M3 - Article

SN - 0044-2267

VL - 81

SP - S691-S692

JO - Zeitschrift für Angewandte Mathematik und Mechanik

JF - Zeitschrift für Angewandte Mathematik und Mechanik

IS - S3

ER -

RSM based design optimization

Abstract

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