Reference : Using 2D-PIV measurements to compute unsteady aerodynamic loads on a flat plate at hi...
Scientific congresses and symposiums : Paper published in a book
Engineering, computing & technology : Aerospace & aeronautics engineering
http://hdl.handle.net/2268/183579
Using 2D-PIV measurements to compute unsteady aerodynamic loads on a flat plate at high angle of attack
English
Guissart, Amandine mailto [Université de Liège > Département d'aérospatiale et mécanique > Modélisation et contrôle des écoulements turbulents >]
Bernal, Luis mailto [University of Michigan > Department of Aerospace Engineering > > >]
Dimitriadis, Grigorios mailto [Université de Liège > Département d'aérospatiale et mécanique > Interactions Fluide-Structure - Aérodynamique expérimentale >]
Terrapon, Vincent mailto [Université de Liège > Département d'aérospatiale et mécanique > Modélisation et contrôle des écoulements turbulents >]
30-Jun-2015
Proceedings of the 16th International Forum on Aeroelasticity and Structural Dynamics, IFASD 2015
No
No
International
International Forum on Aeroelasticity and Structural Dynamics
du 28 juin 2015 au 2 juillet 2015
Saint Petersburg
Russia
[en] Indirect load calculation ; Control volume approach ; PIV ; Flat plate ; Unsteady flow
[en] This work exposes and discusses results obtained for aerodynamic forces
using an indirect calculation based on Particle Image Velocimetry (PIV) measurements.
The methodology used is based on the integral formulation of the Navier-Stokes equations
and is applied to spatio-temporal data for different flows around a plate with a 16:1
chord-to-thickness ratio at high angle of attack. Experimental data are obtained in a
water channel for both a static and a pitching plate. In addition to PIV data, direct
measurements of aerodynamic loads are carried out to assess the quality of the indirect
calculation. It is demonstrated that this indirect method is able to compute the mean
and the temporal evolution of the lift and drag coefficients with a reasonable accuracy.
It is also shown that the noise sensitivity of the method can be partly alleviated through
the use of Dynamic Mode Decomposition (DMD) as a pre-processing step to smooth the
spatio-temporal data.
http://hdl.handle.net/2268/183579

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