Variable-fidelity and reduced-order models for aero data for loads predictions

Stefan Goertz, Ralf Zimmermann, Zhong Hua Han

Publikation: Bidrag til bog/antologi/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review

Resumé

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.

OriginalsprogEngelsk
TitelComputational Flight Testing : Results of the Closing Symposium of the German Research Initiative ComFliTe, Braunschweig, Germany, June 11th-12th, 2012
RedaktørerNorbert Kroll, Rolf Radespiel, Jan Willem Burg, Kaare Sørensen
Publikationsdato2013
Sider99-112
ISBN (Trykt)978-3-642-38876-7
ISBN (Elektronisk)978-3-642-38877-4
DOI
StatusUdgivet - 2013
Udgivet eksterntJa
BegivenhedClosing Symposium of the German Research Initiative - Braunschweig, Tyskland
Varighed: 11. jun. 201212. jun. 2012

Konference

KonferenceClosing Symposium of the German Research Initiative
LandTyskland
ByBraunschweig
Periode11/06/201212/06/2012
NavnNotes on Numerical Fluid Mechanics and Multidisciplinary Design
Vol/bind123
ISSN1612-2909

Fingeraftryk

Computational fluid dynamics
Aircraft
Aerodynamic loads
Subsonic flow
Transonic flow
Physics
Decomposition

Citer dette

Goertz, S., Zimmermann, R., & Han, Z. H. (2013). Variable-fidelity and reduced-order models for aero data for loads predictions. I N. Kroll, R. Radespiel, J. W. Burg, & K. Sørensen (red.), Computational Flight Testing: Results of the Closing Symposium of the German Research Initiative ComFliTe, Braunschweig, Germany, June 11th-12th, 2012 (s. 99-112). Notes on Numerical Fluid Mechanics and Multidisciplinary Design, Bind. 123 https://doi.org/10.1007/978-3-642-38877-4_8
Goertz, Stefan ; Zimmermann, Ralf ; Han, Zhong Hua. / Variable-fidelity and reduced-order models for aero data for loads predictions. Computational Flight Testing: Results of the Closing Symposium of the German Research Initiative ComFliTe, Braunschweig, Germany, June 11th-12th, 2012. red. / Norbert Kroll ; Rolf Radespiel ; Jan Willem Burg ; Kaare Sørensen. 2013. s. 99-112 (Notes on Numerical Fluid Mechanics and Multidisciplinary Design, Bind 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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Goertz, S, Zimmermann, R & Han, ZH 2013, Variable-fidelity and reduced-order models for aero data for loads predictions. i N Kroll, R Radespiel, JW Burg & K Sørensen (red), Computational Flight Testing: Results of the Closing Symposium of the German Research Initiative ComFliTe, Braunschweig, Germany, June 11th-12th, 2012. Notes on Numerical Fluid Mechanics and Multidisciplinary Design, bind 123, s. 99-112, Closing Symposium of the German Research Initiative, Braunschweig, Tyskland, 11/06/2012. https://doi.org/10.1007/978-3-642-38877-4_8

Variable-fidelity and reduced-order models for aero data for loads predictions. / Goertz, Stefan; Zimmermann, Ralf; Han, Zhong Hua.

Computational Flight Testing: Results of the Closing Symposium of the German Research Initiative ComFliTe, Braunschweig, Germany, June 11th-12th, 2012. red. / Norbert Kroll; Rolf Radespiel; Jan Willem Burg; Kaare Sørensen. 2013. s. 99-112 (Notes on Numerical Fluid Mechanics and Multidisciplinary Design, Bind 123).

Publikation: Bidrag til bog/antologi/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review

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AB - 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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Goertz S, Zimmermann R, Han ZH. Variable-fidelity and reduced-order models for aero data for loads predictions. I Kroll N, Radespiel R, Burg JW, Sørensen K, red., Computational Flight Testing: Results of the Closing Symposium of the German Research Initiative ComFliTe, Braunschweig, Germany, June 11th-12th, 2012. 2013. s. 99-112. (Notes on Numerical Fluid Mechanics and Multidisciplinary Design, Bind 123). https://doi.org/10.1007/978-3-642-38877-4_8