PROPER ORTHOGONAL DECOMPOSITION FOR MODEL UPDATING OF NON-LINEAR MECHANICAL SYSTEMS
By Vincent Lenaerts, Gaetan Kerschen, Jean-Claude Golinval. 2001
152 citations recorded by the source corpus.
Subfields: Automotive Engineering, Civil and Structural Engineering, Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/d1a518b15dcf358eb6f4678a3cbf62a3eb53ca29
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In Automotive Engineering
In Civil and Structural Engineering
- Gaetan Kerschen
- Jean-Claude Golinval
- Vincent Lenaerts
- Siu-seong Law
- Sq Q. Wu
- Ludovic Renson
- Alexander F. Vakakis
- Matthew S. Allen
In Control and Systems Engineering
Citations in the corpus
- Statistical moving load identification including uncertainty (2012, methodology): “The applications of the KLE on solving engineering problem have been extended to the stochastic finite element modeling [13,14], model reduction [15,16], model updating [17] and damage detection [18] in a dynamic system.”
- Identification of a continuous structure with a geometrical non-linearity. Part I: Conditioned reverse path method (2003, background): “Karhunen–Lo" eve transform, has shown promise for model updating of structural parameters in m.d.o.f. non-linear systems [ 8 ,9].”
- Identification of a continuous structure with a geometrical non-linearity. Part II: Proper orthogonal decomposition (2003, background): “[ 16 ] for more details), which means that only the POMs that contain the greatest amount of energy in the signal are considered.”