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Uncertainty Quantification Using Surrogate Models

Liu, Dishi / D. S. (2012) Uncertainty Quantification Using Surrogate Models. MUNA Final Workshop, 25 Oct 2012, Braunschweig, Germany.

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Uncertainty quantification (UQ) in aerodynamic simulations is retarded by the high computational cost of CFD models. With gradient information obtained at a reduced cost by using an adjoint solver, gradient-employing surrogate methods are promising in speeding up the UQ process. To investigate efficiency of UQ methods we apply gradient-enhanced radial basis functions, gradient-enhanced point-collocation polynomial chaos, gradient-enhanced Kriging and quasi-Monte Carlo quadrature to a test case where the geometry of a RAE2822 airfoil is perturbed by a Gaussian random field parameterized by 10 independent variables. The four methods are compared in their efficiency in estimating some statistics and probability distribution of the uncertain lift and drag coefficients. The results show that with the same computational effort the gradient-employing surrogate methods achieve better accuracy in the UQ than the QMC does.

Item URL in elib:https://elib.dlr.de/78373/
Document Type:Conference or Workshop Item (Speech)
Title:Uncertainty Quantification Using Surrogate Models
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Date:25 October 2012
Refereed publication:No
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Keywords:Uncertainty quantification, surrogate method, gradient-enhanced Kriging, gradient-enhanced point-collocation polynomial chaos, gradient-enhanced radial basis functions
Event Title:MUNA Final Workshop
Event Location:Braunschweig, Germany
Event Type:Workshop
Event Dates:25 Oct 2012
Organizer:DLR Braunschweig
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: Liu, Dishi
Deposited On:30 May 2013 14:31
Last Modified:30 May 2013 14:31

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