Paper Title:
Structural Damage Localization Based on AR Model and BP Neural Network
  Abstract

When the AR model is used to identify the structural damage, one problem is often met, that is the method can only make a decision whether the structure is damaged, however, the damage location can not be identified exactly. A structural damage localization method based on AR model in combination with BP neural network is proposed in this paper. The AR time series models are used to describe the acceleration responses. The changes of the first 3-order AR model parameters are extracted and composed as damage characteristic vectors which are put into BP neural network to identify the damage location. The effectiveness of the method is validated by the results of numerical simulation and experiment for a four-layer offshore platform. Only the acceleration responses can be used adequately to localize the structural damage, without the usage of modal parameter and excitation force. Thus the dependence on the modal parameter and excitation can be avoided in this method.

  Info
Periodical
Chapter
Chapter 2: Monitoring and Control of Structures
Edited by
Xuejun Zhou
Pages
1211-1215
DOI
10.4028/www.scientific.net/AMM.94-96.1211
Citation
Y. S. Diao, F. Yu, D. M. Meng, "Structural Damage Localization Based on AR Model and BP Neural Network", Applied Mechanics and Materials, Vols. 94-96, pp. 1211-1215, 2011
Online since
September 2011
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Price
$32.00
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