Reference : Identification and model Updating of a non-stationary vibrating system
Scientific congresses and symposiums : Paper published in a book
Engineering, computing & technology : Mechanical engineering
http://hdl.handle.net/2268/23817
Identification and model Updating of a non-stationary vibrating system
English
Dimitriadis, Grigorios mailto [Université de Liège - ULg > Département d'aérospatiale et mécanique > Intéractions fluide structure et aérodynamique expérimentale >]
Fassois, Spilios [University of Patras > Department of Mechanical Engineering and Aeronautics > > >]
Poulimenos, Aggelos [University of Patras > Department of Mechanical Engineering and Aeronautics > > >]
Shi, Dongfeng [University of Manchester > School of Engineering > > >]
Jul-2004
Proceedings of 7th Biennial ASME Conference on Engineering Systems Design and Analysis
Akay, A.
Arnas, O.
Cooper, J. E.
Egrigan, N.
Franco, F.
Stronge, W.
ASME
Paper ESDA2004-58405
Yes
No
International
0-7918-4174-X
New York
USA
7th Biennial ASME Conference on Engineering Systems Design and Analysis
du 19 juillet 2004 au 22 juillet 2004
American Society of Mechanical Engineers
Manchester
United Kingdom
[en] System Identification ; Model updating ; Nonstationary systems
[en] Non-stationary systems, which are commonly encountered in many fields of science, are characterized by time-varying features and require time-frequency methods for their analysis. This study considers the problem of identification and model updating of a non-stationary vibrating system. In particular, a number of identification methods and a model updating procedure are evaluated and compared through application to a time-varying “bridge-like” laboratory structure. The identification approaches include Frequency Response Function based parameter estimation techniques, Subspace Identification and Functional Series modelling. All methods are applied to both output-only and input-out-put data. Model updating is based upon a theoretical model of the structure obtained using a Rayleigh-Ritz methodology, which is updated to account for time-dependence and nonlinearity via the identification results. Interesting comparisons, among both identification and model updating results, are performed. The results of the study demonstrate high modelling accuracy, illustrating the effectiveness of model updating techniques in non-stationary vibration modelling.
Researchers ; Professionals
http://hdl.handle.net/2268/23817
10.1115/ESDA2004-58405
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