Reference : Damping identification of linear dynamic systems using Common-base Proper Orthogonal Dec...

	Document type :	Scientific congresses and symposiums : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Aerospace & aeronautics engineering
	To cite this reference:	http://hdl.handle.net/2268/130827

Title :	Damping identification of linear dynamic systems using Common-base Proper Orthogonal Decomposition
Language :	English
Author, co-author :	Andrianne, Thomas [Université de Liège - ULg > Département d'aérospatiale et mécanique > Département d'aérospatiale et mécanique >]
	Dimitriadis, Grigorios [Université de Liège - ULg > Département d'aérospatiale et mécanique > Interactions Fluide-Structure - Aérodynamique expérimentale >]
Publication date :	19-Sep-2012
Main document title :	Proceedings of ISMA2012
Pages :	9
On invitation :	No
Audience :	International
Event name :	International Conference on Noise and Vibration Engineering (ISMA 2012)
Event date :	17-09-2012 to 19-09-2012
Event organizer :	Katholieke Universiteit Leuven
Event place (city) :	Leuven
Event country :	Belgium
Keywords :	[en] Damping ; Identification ; Proper Orthogonal Decomposition ; Linear system
Abstract :	[en] This paper presents a novel identification technique of the modal damping of linear systems. It is based on the Proper Orthogonal Decomposition (POD) of the free response of the system and extended to the Common-base POD (CPOD) approach. Different initial conditions are applied to the system and the corresponding free responses are considered simultaneously. The CPOD technique leads to a unique vector basis which is likely to contain more information about the dynamics of the system than a vector basis obtained by the classic POD technique, based on one set of initial conditions only. The ability of the technique to estimate the modal damping is demonstrated on a simulated mass-spring-damper system and an experimental system. Good agreement is shown between the damping estimates of the CPOD technique and the ones of the LSCF technique. The advantage and limitations of the present technique are discussed.
Permalink :	http://hdl.handle.net/2268/130827

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