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Efficient Quantification of Aerodynamic Uncertainty due to Random Geometry Perturbations

Liu, Dishi and Görtz, Stefan (2014) Efficient Quantification of Aerodynamic Uncertainty due to Random Geometry Perturbations. In: New Results in Numerical and Experimental Fluid Mechanics IX Notes on Numerical Fluid Mechanics and Multidisciplinary Design, 124. Springer Verlag. pp. 65-73. ISBN 978-3-319-03157-6. ISSN 1612-2909.

Full text not available from this repository.

Abstract

The effort of quantifying the aerodynamic uncertainties caused by uncertainties in the airfoil geometry is hindered by the large number of the variables and the high computational cost of the CFD model. To identify e�fficient methods addressing this challenge, four promising methods, gradient-enhanced Kriging (GEK), gradient-assisted polynomial chaos (GAPC), maximum entropy method and quasi-Monte Carlo quadrature are applied to a test case where the geometry of an RAE2822 airfoil is perturbed by a Gaussian random �field parameterized by nine independent variables. The four methods are compared in their efficiency of estimating some statistics and probability distribution of the uncertain lift and drag coe�cients. The results show that the two surrogate method, GEK and GAPC, both utilizing gradient information obtained by an adjoint CFD solver, are more effi�cient in this situation. Their advantage is expected to increase as the number of variables increases.

Item URL in elib:https://elib.dlr.de/88100/
Document Type:Contribution to a Collection
Title:Efficient Quantification of Aerodynamic Uncertainty due to Random Geometry Perturbations
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Liu, Dishidishi.liu (at) dlr.deUNSPECIFIED
Görtz, StefanStefan.Goertz (at) dlr.deUNSPECIFIED
Date:2014
Journal or Publication Title:New Results in Numerical and Experimental Fluid Mechanics IX
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Volume:124
Page Range:pp. 65-73
Editors:
EditorsEmailEditor's ORCID iD
Dillmann, AndreasUNSPECIFIEDUNSPECIFIED
Heller, GerdAirbus DeutschlandUNSPECIFIED
Krämer, EwaldUniversität StuttgartUNSPECIFIED
Kreplin, Hans-PeterUNSPECIFIEDUNSPECIFIED
Nitsche, WolfgangTU BerlinUNSPECIFIED
Rist, UlrichUniversität StuttgartUNSPECIFIED
Publisher:Springer Verlag
Series Name:Notes on Numerical Fluid Mechanics and Multidisciplinary Design
ISSN:1612-2909
ISBN:978-3-319-03157-6
Status:Published
Keywords:uncertainty quantification, surrogate modeling, gradient-enhanced Kriging, polynomial chaos, maximum entropy, aerodynamics, CFD
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Aircraft Research (old)
DLR - Research area:Aeronautics
DLR - Program:L AR - Aircraft Research
DLR - Research theme (Project):L - Simulation & Validation (old)
Location: Braunschweig
Institutes and Institutions:Institute of Aerodynamics and Flow Technology > C²A²S²E - Center for Computer Applications in AeroSpace Science and Engineering
Deposited By: Görtz, Stefan
Deposited On:12 Mar 2014 14:28
Last Modified:27 Feb 2015 11:30

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