This chapter introduces the use of aerodynamic shape optimization applied to industrial problems, motivates the use of a robust approach over the classical deterministic optimization, and presents different alternatives for the robust-based and reliability-based problems. The use of surrogates for the Uncertainty Quantification of operational and geometrical uncertainties is a cost-effective solution for high dimensional models if the gradient information is introduced by means of the adjoint method. Finally, the proposed methodology is applied through the reliability-based optimization of an airfoil under operational uncertainties.
Best Practices for Surrogate Based Uncertainty Quantification in Aerodynamics and Application to Robust Shape Optimization
Optimization Under Uncertainty with Applications to Aerospace Engineering ; Chapter : 14 ; 429-453
2020-09-10
25 pages
Article/Chapter (Book)
Electronic Resource
English
Quantile optimization , CFD , Aerodynamic robust design , Surrogate based Uncertainty Quantification Optimization , Astronomy, Astrophysics and Cosmology , Physics and Astronomy , Mathematical and Computational Engineering , Physics , Aerospace Technology and Astronautics , Computational Science and Engineering
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