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A Variable-Fidelity Modeling Method for Aero-Loads Prediction

  • Z. -H. Han
  • S. Görtz
  • R. Hain
Part of the Notes on Numerical Fluid Mechanics and Multidisciplinary Design book series (NNFM, volume 112)

Summary

A Variable-Fidelity Modeling (VFM) method has been developed as an efficient and accurate aerodynamic data modeling strategy. In this approach, a set of CFD methods with varying degrees of fidelity and computational expense is exercised to reduce the number of expensive high-fidelity computations. Kriging-based bridge functions are constructed to match the low- and high fidelity CFD data. The method is demonstrated by constructing a global approximation model of the aerodynamic coefficients of an RAE 2822 airfoil based on sampled data. The model is adaptively refined by inserting additional samples. It is shown that the method is promising for efficiently generating accurate aerodynamic models that can be used for the rapid prediction of aerodynamic data across the flight envelope.

Keywords

Ordinary Kriging Kriging Model Aerodynamic Coefficient Bridge Function RANS Computation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Z. -H. Han
    • 1
  • S. Görtz
    • 1
  • R. Hain
    • 1
  1. 1.Deutsches Zentrum für Luft- und Raumfahrt e.V.Institut für Aerodynamik und StrömungstechnikBraunschweigGermany

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