Published in Journal of Aerospace Engineering, Vol. 225 (10), pp. 1131-1151, 2011
DOI: 10.1177/0954410011412131


Uncertainties are a daily issue to deal with in aerospace engineering and applications. Robust optimization methods commonly use a random generation of the inputs and take advantage of multi-point criteria to look for robust solutions accounting with uncertainty definition. From the computational point of view, the application to coupled problems, like computational fluid dynamics (CFD) or fluid–structure interaction (FSI), can be extremely expensive. This study presents a coupling between stochastic analysis techniques and evolutionary optimization algorithms for the definition of a stochastic robust optimization procedure. At first, a stochastic procedure is proposed to be applied into optimization problems. The proposed method has been applied to both CFD and FSI problems for the reduction of drag and flutter, respectively.

The PDF file did not load properly or your web browser does not support viewing PDF files. Download directly to your device: Download PDF document
Back to Top

Document information

Published on 01/01/2011

DOI: 10.1177/0954410011412131
Licence: CC BY-NC-SA license

Document Score


Times cited: 1
Views 11
Recommendations 0

Share this document

claim authorship

Are you one of the authors of this document?