Reference : Identifying and computing nonlinear normal modes

	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/2268/111522

Title :	Identifying and computing nonlinear normal modes
Language :	English
Author, co-author :	Cammarano, A. [University of Bristol > Department of Aerospace Engineering > > >]
	Carrella, A. [University of Bristol > Department of Aerospace Engineering > > >]
	Renson, Ludovic [Université de Liège - ULg > Département d'aérospatiale et mécanique > Laboratoire de structures et systèmes spatiaux >]
	Kerschen, Gaëtan [Université de Liège - ULg > Département d'aérospatiale et mécanique > Laboratoire de structures et systèmes spatiaux >]
Publication date :	Feb-2012
Main document title :	Proceedings of the SEM IMAC XXX Conference
On invitation :	No
Audience :	International
Event name :	International Modal Analysis Conference (IMAC) XXX
Event date :	Jan. 30 - Feb. 2, 2012
Event organizer :	Society for Experimental Mechanics (SEM)
Event place (city) :	Jacksonville
Event country :	FL
Keywords :	[en] Identification ; Nonlinear Normal Modes ; CONCERTO
Abstract :	[en] Non linear normal modes offer a rigorous framework, both mathematical and physical, for theoretical and experimental dynamical analysis. Albeit still in its infancy, the concept of non linear normal modes has the potential of providing to both the academic and the industrial establishment a powerful tool for the analysis of non linear dynamical systems. However, in order to exploit the full potential of this theory (and its associated simulation capability), there is need to integrate it with other branches of non linear structural dynamics: namely, in order for the non linear normal modes of a real - physical - structure to be computed, there is need to identify and quantify its non linearity. In this paper, an identification method based on the measured Frequency Response Function (FRF) is employed to identify and quantify the system's non linearity before computing the system's non linear normal modes.
Permalink :	http://hdl.handle.net/2268/111522

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