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Quantification of Airfoil Geometry-Induced Aerodynamic Uncertainties - Comparison of Approaches

Liu, Dishi and Litvinenko, Alexander and Schillings, Claudia and Schulz, Volker (2017) Quantification of Airfoil Geometry-Induced Aerodynamic Uncertainties - Comparison of Approaches. SIAM/ASA Journal on Uncertainty Quantification, 5 (1), pp. 334-352. SIAM - Society for Industrial and Applied Mathematics. DOI: 10.1137/15M1050239 ISSN 2166-2525

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Abstract

Uncertainty quantification in aerodynamic simulations calls for efficient numerical methods to reduce computational cost, especially for uncertainties caused by random geometry variations which involve a large number of variables. This paper compares five methods, including quasi-Monte Carlo quadrature, polynomial chaos with coefficients determined by sparse quadrature and by point collocation, radial basis function and a gradient-enhanced version of kriging, and examines their efficiency in estimating statistics of aerodynamic performance upon random perturbation to the airfoil geometry which is parameterized by independent Gaussian variables. The results show that gradient-enhanced surrogate methods achieve better accuracy than direct integration methods with the same computational cost.

Item URL in elib:https://elib.dlr.de/111908/
Document Type:Article
Title:Quantification of Airfoil Geometry-Induced Aerodynamic Uncertainties - Comparison of Approaches
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Liu, DishiUNSPECIFIEDUNSPECIFIED
Litvinenko, AlexanderUNSPECIFIEDUNSPECIFIED
Schillings, ClaudiaUNSPECIFIEDUNSPECIFIED
Schulz, VolkerUNSPECIFIEDUNSPECIFIED
Date:2017
Journal or Publication Title:SIAM/ASA Journal on Uncertainty Quantification
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:5
DOI :10.1137/15M1050239
Page Range:pp. 334-352
Publisher:SIAM - Society for Industrial and Applied Mathematics
ISSN:2166-2525
Status:Published
Keywords:aerodynamic simulation, airfoil geometric uncertainty, surrogate modeling, gradient-enhanced kriging, numerical integration
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: Görtz, Stefan
Deposited On:26 Jun 2017 14:36
Last Modified:13 Jun 2018 14:19

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