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General Introduction to Surrogate Model-Based Approaches to UQ

Maruyama, Daigo and Görtz, Stefan and Liu, Dishi (2019) General Introduction to Surrogate Model-Based Approaches to UQ. In: Uncertainty Management for Robust Industrial Design in Aeronautics Notes on Numerical Fluid Mechanics and Multidisciplinary Design, 140. Springer International Publishing AG. pp. 203-211. ISBN 978-3-319-77766-5. ISSN 1612-2909

Full text not available from this repository.

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

Abstract

This chapter introduces two popular surrogate modeling methods which can be used to quantify uncertainties such as statistics of the aerodynamic coefficients from scattered data obtained by Computational Fluid Dynamics (CFD) simulations. One is Kriging, which is able not only to interpolate predicted data but also provides statistical information at unsampled locations in the parameter space based on Bayesian statistics. The other one is the radial basis function (RBF) method. The RBF method is also a powerful nonlinear interpolation method which exactly interpolates the samples and its various radial basis function types support the interpolated values locally or globally when appropriately selected. Both methods can make use of gradient information, if available, to improve the model accuracy.

Item URL in elib:https://elib.dlr.de/125224/
Document Type:Contribution to a Collection
Title:General Introduction to Surrogate Model-Based Approaches to UQ
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. 203-211
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:Surrogate, Uncertainty Quantification, Kriging, Radial Basis Function
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 12:38
Last Modified:03 Jan 2019 12:38

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