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A model updating strategy of non‐linear vibrating structures
Author(s) -
Kerschen G.,
Golinval J. C.
Publication year - 2004
Publication title -
international journal for numerical methods in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.421
H-Index - 168
eISSN - 1097-0207
pISSN - 0029-5981
DOI - 10.1002/nme.1040
Subject(s) - frame (networking) , associative property , computer science , algorithm , decomposition , artificial neural network , modal , linear model , mathematics , artificial intelligence , machine learning , pure mathematics , telecommunications , ecology , chemistry , polymer chemistry , biology
Abstract The objective of this paper is to present a model updating strategy of non‐linear vibrating structures. Because modal analysis is no longer helpful in non‐linear structural dynamics, a special attention is devoted to the features extracted from the proper orthogonal decomposition and one of its non‐linear generalizations based on auto‐associative neural networks. The efficiency of the proposed procedure is illustrated using simulated data from a three‐dimensional portal frame. Copyright © 2004 John Wiley & Sons, Ltd.