TECHNICAL PAPERS
Dec 15, 2009

Low-Dimensional Proper Orthogonal Decomposition Modeling as a Fast Approach of Aerodynamic Data Estimation

Publication: Journal of Aerospace Engineering
Volume 23, Issue 1

Abstract

The proper orthogonal decomposition (POD) method is used and assessed as a fast technique for estimation of aerodynamics data with variation of some aerodynamics parameters. In this way, four extensions to the POD method are considered for steady viscous/inviscid compressible aerodynamic applications. The first extension is a coupling between the POD method with a cubic spline interpolation, as introduced for inviscid flows. The second and the third ones are essentially new techniques which are introduced here for the first time. In these methods, some additional calibrations (including a kind of filtering and reprojection) are needed to achieving more accurate estimations. The so-called gappy POD, is considered as the fourth extension, which is a known method in reconstruction and repairing the missed aerodynamics data. The methods are applied on the steady viscous and inviscid flows and for subsonic, transonic, and supersonic flow regimes. The results show good agreements between the new proposed methods and the other methods.

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Acknowledgments

The writers gratefully acknowledge the support of this work by the Flight Mechanic Technology Research Center and Sharif University of Technology.

References

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Go to Journal of Aerospace Engineering
Journal of Aerospace Engineering
Volume 23Issue 1January 2010
Pages: 44 - 54

History

Received: May 15, 2008
Accepted: Dec 9, 2008
Published online: Dec 15, 2009
Published in print: Jan 2010

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Authors

Affiliations

M. Taeibi-Rahni [email protected]
Professor, Dept. of Aerospace Engineering, Sharif Univ. of Technology, Azadi Ave., Tehran, Iran (corresponding author). E-mail: [email protected].
F. Sabetghadam [email protected]
Assistant Professor, Dept. of Aerospace Engineering, Azad Univ., Science and Research Campus, Hesarak, Ashrafi Express Way, Tehran, Iran. E-mail: [email protected]
M. K. Moayyedi [email protected]
Ph.D. Student, Dept. of Aerospace Engineering, Sharif Univ. of Technology, Azadi Ave., Tehran, Iran. E-mail: [email protected]

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