Reference : Using Proper Orthogonal Decomposition and Dynamic Mode Decomposition Methods for Comp...
Scientific congresses and symposiums : Paper published in a book
Engineering, computing & technology : Aerospace & aeronautics engineering
http://hdl.handle.net/2268/154684
Using Proper Orthogonal Decomposition and Dynamic Mode Decomposition Methods for Comparing CFD Results Experimental Measurements
English
Guissart, Amandine mailto [Université de Liège - ULiège > Département d'aérospatiale et mécanique > Modélisation et contrôle des écoulements turbulents >]
Andrianne, Thomas mailto [Université de Liège - ULiège > Département d'aérospatiale et mécanique > Département d'aérospatiale et mécanique >]
Dimitriadis, Grigorios mailto [Université de Liège - ULiège > Département d'aérospatiale et mécanique > Interactions Fluide-Structure - Aérodynamique expérimentale >]
Terrapon, Vincent mailto [Université de Liège - ULiège > Département d'aérospatiale et mécanique > Modélisation et contrôle des écoulements turbulents >]
26-Jun-2013
Proceedings of the 15th International Forum on Aeroelasticity and Structural Dynamics, IFASD 2013
No
No
International
International Forum on Aeroelasticity and Structural Dynamics
du 24 juin 2013 au 26 juin 2013
Royal Aeronautical Society
Bristol
United Kingdom
[en] Proper Orthogonal Decomposition ; Dynamic Mode Decomposition ; Bluff body ; Modal Assurance Criterion ; TrPIV ; CFD
[en] A method for the quantitative comparison of numerical and/or experimental
data of unsteady aerodynamics around static and oscillating bodies is introduced. It is
based on Proper Orthogonal Decomposition (POD) and Dynamic Mode Decomposition
(DMD) to extract the dominant structures of the unsteady flow. The proposed method
is applied to spatio-temporal data for the flow around a 4:1 rectangular cylinder. Exper-
imental data are obtained from wind tunnel testing and two dimensional Time-resolved
Particle Image Velocimetry (Tr-PIV) measurements, while unsteady Reynolds Averaged
Navier-Stokes (uRANS) are used to compute numerical results. It is demonstrated that
the two approaches are complementary and represent a powerful tool that enables the
analysis and the quantitative comparison of the main spatial (POD) and temporal (DMD)
characteristics of unsteady aerodynamic data.
Researchers ; Professionals ; Students
http://hdl.handle.net/2268/154684

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