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Variable-Fidelity and Reduced-Order Models for Aero Data for Loads Predictions

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Computational Flight Testing

Part of the book series: Notes on Numerical Fluid Mechanics and Multidisciplinary Design ((NNFM,volume 123))

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Abstract

This paper summarizes recent progress in developing metamodels for efficiently predicting the aerodynamic loads acting on industrial aircraft configurations. We introduce a physics-based approach to reduced-order modeling based on proper orthogonal decomposition of snapshots of the full-order CFD model, and a mathematical approach to variable-fidelity modeling that aims at combining many low-fidelity CFD results with as few high-fidelity CFD results as possible using bridge functions and variants of Kriging and Cokriging. In both cases, the goal is to arrive at a model that can be used as an efficient surrogate to the original high-fidelity or full-order CFD model but with significantly less evaluation time and storage requirements. Both approaches are demonstrated on industrial aircraft configurations at subsonic and transonic flow conditions.

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Authors and Affiliations

  1. German Aerospace Center (DLR), Lilienthalplatz 7, 38108, Braunschweig, Germany

    Stefan Görtz, Ralf Zimmermann & Zhong-Hua Han

  2. Institute Computational Mathematics, TU Braunschweig, 38106, Braunschweig, Germany

    Ralf Zimmermann

  3. Northwestern Polytechnical University, 710072, Xi’an, People’s Republic of China

    Zhong-Hua Han

Authors
  1. Stefan Görtz
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  2. Ralf Zimmermann
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  3. Zhong-Hua Han
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Corresponding author

Correspondence to Stefan Görtz .

Editor information

Editors and Affiliations

  1. , Institute of Aerodynamics and, German Aerospace Center (DLR), Lilienthalplatz 7, Braunschweig, 38108, Germany

    Norbert Kroll

  2. Institute of Fluid Mechanics, Technische Universität Braunschweig, Hermann-Blenk-Str. 37, Braunschweig, 38108, Germany

    Rolf Radespiel

  3. Airbus Operations Gmbh, Airbus-Allee 1, Bremen, 28199, Germany

    Jan Willem Burg

  4. Aerodynamics & Methods, Cassidian, Rechliner Strasse, Manching, 85077, Germany

    Kaare Sørensen

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Görtz, S., Zimmermann, R., Han, ZH. (2013). Variable-Fidelity and Reduced-Order Models for Aero Data for Loads Predictions. In: Kroll, N., Radespiel, R., Burg, J., Sørensen, K. (eds) Computational Flight Testing. Notes on Numerical Fluid Mechanics and Multidisciplinary Design, vol 123. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38877-4_8

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  • DOI: https://doi.org/10.1007/978-3-642-38877-4_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38876-7

  • Online ISBN: 978-3-642-38877-4

  • eBook Packages: EngineeringEngineering (R0)

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