Reference : On the exploitation of chaos to build reduced-order models
Scientific journals : Article
Engineering, computing & technology : Computer science
Physical, chemical, mathematical & earth Sciences : Mathematics
Engineering, computing & technology : Mechanical engineering
Engineering, computing & technology : Multidisciplinary, general & others
http://hdl.handle.net/2268/18999
On the exploitation of chaos to build reduced-order models
English
Kerschen, Gaëtan mailto [Université de Liège - ULg > Département d'aérospatiale et mécanique > Laboratoire de structures et systèmes spatiaux >]
Feeny, B. F. [>Michigan State University > > >Department of Mechanical Engineering > Engineering Building > >]
Golinval, Jean-Claude mailto [Université de Liège - ULg > Département d'aérospatiale et mécanique > LTAS - Vibrations et identification des structures >]
2003
Computer Methods in Applied Mechanics & Engineering
Elsevier Science Sa
192
13-14
1785-1795
Yes (verified by ORBi)
International
0045-7825
Lausanne
[en] model reduction ; non-linear dynamics ; proper orthogonal decomposition ; chaos
[en] The present study focuses on the model reduction of non-linear systems. The proper orthogonal decomposition is exploited to compute eigenmodes from time series of displacement. These eigenmodes, called the proper orthogonal modes, are optimal with respect to energy content and are used to build a low-dimensional model of the non-linear system. For this purpose, the proper orthogonal modes obtained from a chaotic orbit are considered. Indeed, such an orbit is assumed to cover a portion of the phase space of higher dimension, and hence of greater measure. This higher dimensional data is further assumed to contain more information about the system dynamics than data of a lower-dimensional periodic orbit. In an example, it is shown that the modes for this particular behaviour are more representative of the system dynamics than any other set of modes extracted from a non-chaotic response. This is applied to a buckled beam with two permanent magnets and the reduced-order model is validated using both qualitative and quantitative comparisons. (C) 2003 Elsevier Science B.V. All rights reserved.
Researchers ; Professionals ; Students
http://hdl.handle.net/2268/18999
10.1016/S0045-7825(03)00206-8

File(s) associated to this reference

Fulltext file(s):

FileCommentaryVersionSizeAccess
Restricted access
09_cmame.pdfNo commentaryPublisher postprint339.31 kBRequest copy

Bookmark and Share SFX Query

All documents in ORBi are protected by a user license.