Maruyama, Daigo und Görtz, Stefan und 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. Seiten 203-211. doi: 10.1007/978-3-319-77767-2_12. ISBN 978-3-319-77766-5. ISSN 1612-2909.
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Offizielle URL: https://www.springer.com/us/book/9783319777665
Kurzfassung
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.
elib-URL des Eintrags: | https://elib.dlr.de/125224/ | ||||||||||||
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Dokumentart: | Beitrag im Sammelband | ||||||||||||
Titel: | General Introduction to Surrogate Model-Based Approaches to UQ | ||||||||||||
Autoren: |
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Datum: | 2019 | ||||||||||||
Erschienen in: | Uncertainty Management for Robust Industrial Design in Aeronautics | ||||||||||||
Open Access: | Nein | ||||||||||||
In SCOPUS: | Nein | ||||||||||||
In ISI Web of Science: | Nein | ||||||||||||
Band: | 140 | ||||||||||||
DOI: | 10.1007/978-3-319-77767-2_12 | ||||||||||||
Seitenbereich: | Seiten 203-211 | ||||||||||||
Herausgeber: |
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Verlag: | Springer International Publishing AG | ||||||||||||
Name der Reihe: | Notes on Numerical Fluid Mechanics and Multidisciplinary Design | ||||||||||||
ISSN: | 1612-2909 | ||||||||||||
ISBN: | 978-3-319-77766-5 | ||||||||||||
Stichwörter: | Surrogate, Uncertainty Quantification, Kriging, Radial Basis Function | ||||||||||||
DLR - Schwerpunkt: | Luftfahrt | ||||||||||||
DLR - Forschungsgebiet: | L AR - Aircraft Research | ||||||||||||
Standort: | Braunschweig | ||||||||||||
Institute & Einrichtungen: | Institut für Aerodynamik und Strömungstechnik > CASE, BS |
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