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Worst-case robust design optimization under distributional assumptions

✍ Scribed by Mattia Padulo; Marin D. Guenov

Publisher
John Wiley and Sons
Year
2011
Tongue
English
Weight
391 KB
Volume
88
Category
Article
ISSN
0029-5981

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✦ Synopsis

Abstract

Presented in this paper is a novel robust design optimization (RDO) methodology. The problem is reformulated in order to relax, when required, the assumption of normality of objectives and constraints, which often underlies RDO. In the second place, taking into account engineering considerations concerning the risk associated with constraint violation, suitable estimates of tail conditional expectations are introduced in the set of robustness metrics. A computationally affordable yet accurate implementation of the proposed formulation is guaranteed by the adoption of a reduced quadrature technique to perform the uncertainty propagation. The methodology is successfully demonstrated with the aid of an industrial test case performing the sizing of a mid‐range passenger aircraft. Copyright © 2011 John Wiley & Sons, Ltd.

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