Reference : Limit Cycle Prediction For Subsonic Aeroelastic Systems Using Nonlinear System Identi...
Scientific congresses and symposiums : Paper published in a book
Engineering, computing & technology : Aerospace & aeronautics engineering
http://hdl.handle.net/2268/23943
Limit Cycle Prediction For Subsonic Aeroelastic Systems Using Nonlinear System Identification
English
Dimitriadis, Grigorios mailto [Université de Liège - ULiège > Département d'aérospatiale et mécanique > Intéractions fluide structure et aérodynamique expérimentale >]
Vio, Gareth Arthur [University of Manchester > School of Engineering > > >]
Cooper, Jonathan Edward [University of Manchester > School of Engineering > > >]
Jul-2003
Proceedings of the VIII International Conference on Recent Advances in Structural Dynamics
Ferman, M. A.
Petersson, B. A. T.
Rizzi, S. A.
Wentz, K.
Institute of Sound and Vibration
Paper 7
Yes
No
International
0 854 32 7894
Southampton
United Kingdom
8th International Conference on Recent Advances in Structural Dynamics
du 14 juillet au 16 juillet 2003
Institute of Sound and Vibration, University of Southampton
Southampton
United Kingdom
[en] Aeroelasticity ; Nonlinearity ; Limit Cycle Oscillations
[en] The prediction of aeroelastic instabilities caused by nonlinear unsteady aerodynamic forces
acting on aircraft has recently become an important area of research. Emphasis is placed on
the capability to predict the occurrence of Limit Cycle Oscillations (LCOs) at both the design
and prototype testing stages. In this paper, the prediction of LCOs is attempted for a simulated
aeroelastic system subjected to nonlinear subsonic unsteady aerodynamic forces, using system
identification. Response data from the simulated system are curve-fitted by means of a series
of polynomial basis functions. This approach yields very accurate identified models of the
actual system at individual flight conditions. These identified models are extrapolated to a
global aeroelastic identified model. Using this model, the flight conditions at which LCOs
occur is accurately predicted but the amplitude of the oscillations is underestimated.
Researchers ; Professionals
http://hdl.handle.net/2268/23943

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