Article (Scientific journals)
The method of proper orthogonal decomposition for dynamical characterization and order reduction of mechanical systems: An overview
Kerschen, Gaëtan; Golinval, Jean-Claude; Vakakis, Alexander F. et al.
2005In Nonlinear Dynamics, 41 (1-3), p. 147-169
Peer reviewed
 

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Keywords :
dynamic characterization; order reduction; proper orthogonal decomposition
Abstract :
[en] Modal analysis is used extensively for understanding the dynamic behavior of structures. However, a major concern for structural dynamicists is that its validity is limited to linear structures. New developments have been proposed in order to examine nonlinear systems, among which the theory based on nonlinear normal modes is indubitably the most appealing. In this paper, a different approach is adopted, and proper orthogonal decomposition is considered. The modes extracted from the decomposition may serve two purposes, namely order reduction by projecting high-dimensional data into a lower-dimensional space and feature extraction by revealing relevant but unexpected structure hidden in the data. The utility of the method for dynamic characterization and order reduction of linear and nonlinear mechanical systems is demonstrated in this study.
Disciplines :
Mechanical engineering
Author, co-author :
Kerschen, Gaëtan  ;  Université de Liège - ULiège > Département d'aérospatiale et mécanique > Laboratoire de structures et systèmes spatiaux
Golinval, Jean-Claude  ;  Université de Liège - ULiège > Département d'aérospatiale et mécanique > LTAS - Vibrations et identification des structures
Vakakis, Alexander F.;  University of Illinois at Urbana-Champaign, Illinois, U.S.A. ; epartment of Mechanical and Industrial Engineering (adjunct), Department of Aerospace Engineering (adjunct)
Bergman, Lawrence A.;  University of Illinois at Urbana-Champaign, Illinois, U.S.A > Department of Aerospace Engineering
Language :
English
Title :
The method of proper orthogonal decomposition for dynamical characterization and order reduction of mechanical systems: An overview
Publication date :
August 2005
Journal title :
Nonlinear Dynamics
ISSN :
0924-090X
eISSN :
1573-269X
Publisher :
Springer, Dordrecht, Netherlands
Volume :
41
Issue :
1-3
Pages :
147-169
Peer reviewed :
Peer reviewed
Available on ORBi :
since 18 August 2009

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