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 fluid-dynamics (CFD) or fluid-structure interaction (FSI), can be extremely expensive. This work 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. © 2010 CIMNE (Universitat Politècnica de Catalunya). Published by Elsevier España, S.L. All rights reserved.
Pons-Prats, J., Bugeda, G., Zárate, F., & Oñate, E. (2012). Optimización robusta en aplicaciones aeronáuticas con la combinación de cálculo estocástico y algoritmos evolutivos. Revista Internacional de Metodos Numericos Para Calculo y Diseno En Ingenieria, 28(1), 18–32. https://doi.org/10.1016/j.rimni.2011.11.001