Improving variable-fidelity surrogate modeling via gradient-enhanced kriging and a generalized hybrid bridge function

Variable-fidelity surrogate modeling offers an efficient way to generate aerodynamic data for aero-loads prediction based on a set of CFD methods with varying degree of fidelity and computational expense. In this paper, direct Gradient-Enhanced Kriging (GEK) and a newly developed Generalized Hybrid...

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Vydané v:	Aerospace science and technology Ročník 25; číslo 1; s. 177 - 189
Hlavní autori:	Han, Zhong-Hua, Görtz, Stefan, Zimmermann, Ralf
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Issy-les-Moulineaux Elsevier SAS 01.03.2013 Elsevier
Predmet:	Aerodynamics Applied fluid mechanics Computational fluid dynamics Computational methods in fluid dynamics Exact sciences and technology Fluid dynamics Fundamental areas of phenomenology (including applications) Kriging model Physics Surrogate model Variable-fidelity model Kriging model Surrogate model Variable-fidelity model Computational fluid dynamics Drag Digital simulation Aerodynamics Airfoils Modelling Mesh generation Kriging
ISSN:	1270-9638, 1626-3219
On-line prístup:	Získať plný text
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