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Robust Design Measures for Airfoil Shape Optimization

Maruyama, Daigo and Görtz, Stefan and Liu, Dishi (2019) Robust Design Measures for Airfoil Shape Optimization. In: Uncertainty Management for Robust Industrial Design in Aeronautics Notes on Numerical Fluid Mechanics and Multidisciplinary Design, 140. Springer International Publishing AG. pp. 513-527. ISBN 978-3-319-77766-5. ISSN 1612-2909

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Official URL: https://www.springer.com/gp/book/9783319777665

Abstract

Two kinds of robustness measures are introduced and applied to design optimization of the UMRIDA BC-02 transonic airfoil test case under uncertainty. Robust design optimization (RDO) aims at minimizing the mean and standard deviation of the drag coefficient. Reliability-based design optimization (RBDO) targets minimizing the maximum drag coefficient. Both robustness measures are efficiently evaluated by using efficient sampling techniques assisted by a gradient-enhanced Kriging model. The airfoil is parameterized with 10 deterministic design variables, which are optimized by a gradient-free Subplex algorithm. The nominal airfoil geometry is assumed to be perturbed by a Gaussian random field which is parameterized by 10 independent variables through a truncated Karhunen-Loève expansion. Two operational parameters are also considered uncertain. The airfoil obtained by optimizing the two robustness measures have similar geometrical features and show better performance in terms of the robustness measures than the initial and the deterministically designed airfoils. The strength and location of the shock wave of the robustly designed airfoils are shown to be less sensitive to random geometrical perturbations than the initial and deterministically designed airfoils.

Item URL in elib:https://elib.dlr.de/125232/
Document Type:Contribution to a Collection
Title:Robust Design Measures for Airfoil Shape Optimization
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Maruyama, Daigodaigo.maruyama (at) dlr.deUNSPECIFIED
Görtz, StefanStefan.Goertz (at) dlr.deUNSPECIFIED
Liu, Dishidishi.liu (at) dlr.deUNSPECIFIED
Date:2019
Journal or Publication Title:Uncertainty Management for Robust Industrial Design in Aeronautics
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Volume:140
DOI :10.1007/978-3-319-77767-2
Page Range:pp. 513-527
Editors:
EditorsEmail
Hirsch, CharlesNUMECA Brüssel
Wunsch, DirkNUMECA Brüssel
Szumbarski, JacekUniversity of Technology, Warschau
Laniewski-Wollk, LukaszUniversity of Technology, Warschau
Pons-Prats, JordiCIMNE Barcelona
Publisher:Springer International Publishing AG
Series Name:Notes on Numerical Fluid Mechanics and Multidisciplinary Design
ISSN:1612-2909
ISBN:978-3-319-77766-5
Status:Published
Keywords:Robust Design Optimization, Reliability-Based Design Optimization, Uncertainty Quantification, Surrogate, Aerodynamics
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:fixed-wing aircraft
DLR - Research area:Aeronautics
DLR - Program:L AR - Aircraft Research
DLR - Research theme (Project):L - Simulation and Validation
Location: Braunschweig
Institutes and Institutions:Institute for Aerodynamics and Flow Technology > CASE, BS
Deposited By: Seyfried, Beate
Deposited On:03 Jan 2019 13:09
Last Modified:03 Jan 2019 13:09

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