Reference : Identification of multi-degree of freedom non-linear systems using an extended modal ...
Scientific journals : Article
Engineering, computing & technology : Aerospace & aeronautics engineering
Engineering, computing & technology : Mechanical engineering
Identification of multi-degree of freedom non-linear systems using an extended modal space model
Platten, Michael F mailto [Romax Technology > NVH Team > > >]
Wright, Jan Robert mailto [University of Manchester > School of Mechanical, Aerospace and Civil Engineering > > >]
Dimitriadis, Grigorios mailto [Université de Liège - ULg > Département d'aérospatiale et mécanique > Intéractions fluide structure et aérodynamique expérimentale >]
Cooper, Jonathan E mailto [University of Liverpool > Department of Engineering > > >]
Mechanical Systems & Signal Processing
Academic Press
Yes (verified by ORBi)
United Kingdom
[en] Nonlinear Systems ; Nonlinear System Identification ; Resonant decay method ; Force appropriation
[en] The identification of non-linear dynamic systems is an increasingly important area of research, with potential application in many industries. Current non-linear identification methodologies are, in general, mostly suited to small systems with few degrees of freedom and few non-linearities. In order to develop a practical identification approach for real engineering structures, the capability of such methods must be significantly extended. In this paper, it is shown that such an extension can be achieved using multi-exciter techniques in order to excited specific modes or degrees of freedom of the system under investigation.

A novel identification method for large non-linear systems is presented, based on the use of
a multi-exciter arrangement using appropriated excitation applied in bursts. This proposed Non-linear Resonant Decay Method is applied to a simulated system with 5 degrees of freedom and an experimental clamped panel structure. The technique is essentially a derivative of the Restoring Force Surface method and involves a non-linear curve fit performed in modal space. The effectiveness of the resulting reduced order model in representing the non-linear characteristics of the system is demonstrated. The potential of the approach for the identification of large continuous non-linear systems is also discussed.
Identification of Non-linear Continuous Structures
Researchers ; Professionals

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