On improving Efficiency and Accuracy of Variable-Fidelity Surrogate Modeling in Aero-data for Loads Context

Zhonghua Han, Ralf Zimmermann, Stefan Goertz

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Abstract

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, new algorithms, such as a Gradient-Enhanced Kriging method (direct GEK) and a generalized hybrid bridge function, have been developed to improve the efficiency and accuracy of the existing Variable-Fidelity Modeling (VFM)
approach. These new algorithms and features are demonstrated and evaluated for analytical functions and used to construct a global surrogate model for the aerodynamic coefficients and drag polar of an RAE 2822 airfoil. It is preliminarily shown in this paper that they are very promising and can be used to significantly improve the efficiency and accuracy of VFM in the context of aero-loads prediction.
Original languageEnglish
Title of host publicationProceedings of CEAS 2009, European Air and Space Conference
Number of pages23
PublisherRoyal Aeronautical Society
Publication dateOct 2009
ISBN (Print)1857682130
Publication statusPublished - Oct 2009
Externally publishedYes
EventEuropean Air and Space Conference - Manchester, United Kingdom
Duration: 26. Oct 200929. Oct 2009
http://www.worldcat.org/title/ceas-2009-european-air-and-space-conference/oclc/657096977

Conference

ConferenceEuropean Air and Space Conference
Country/TerritoryUnited Kingdom
CityManchester
Period26/10/200929/10/2009
Internet address

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