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Best Practices for Surrogate Based Uncertainty Quantification in Aerodynamics and Application to Robust Shape Optimization

Sabater Campomanes, Christian (2020) Best Practices for Surrogate Based Uncertainty Quantification in Aerodynamics and Application to Robust Shape Optimization. In: Optimization Under Uncertainty with Applications to Aerospace Engineering Springer International Publishing. pp. 429-453. doi: 10.1007/978-3-030-60166-9. ISBN 978-3-030-60166-9.

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Abstract

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.

Item URL in elib:https://elib.dlr.de/142930/
Document Type:Contribution to a Collection
Title:Best Practices for Surrogate Based Uncertainty Quantification in Aerodynamics and Application to Robust Shape Optimization
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Sabater Campomanes, ChristianChristian.SabaterCampomanes (at) dlr.deUNSPECIFIED
Date:2020
Journal or Publication Title:Optimization Under Uncertainty with Applications to Aerospace Engineering
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI :10.1007/978-3-030-60166-9
Page Range:pp. 429-453
Publisher:Springer International Publishing
ISBN:978-3-030-60166-9
Status:Published
Keywords:Aerodynamic robust design, Quantile optimization, Surrogate based Uncertainty Quantification, CFD
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Efficient Vehicle
DLR - Research area:Aeronautics
DLR - Program:L EV - Efficient Vehicle
DLR - Research theme (Project):L - Digital Technologies
Location: Braunschweig
Institutes and Institutions:Institute for Aerodynamics and Flow Technology > CASE, BS
Deposited By: Görtz, Stefan
Deposited On:05 Jul 2021 08:49
Last Modified:05 Jul 2021 08:49

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