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Proceedings Paper

Application of neural networks to health monitoring of bridge structures
Author(s): Chin-Hsiung Loh; ShyChing Yeh
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Paper Abstract

A procedure based on the use of artificial neural networks for the identification of dynamic system is developed and applied to the bridge structure under earthquake excitation. This neural network-based approach is also applied for the detection of changes in the characteristics of structure- unknown system. Based on the vibration measurement from a linear/healthy system to train the neural network for identification purposes, then the trained network is fed comparable vibration measurements from the same structure under different episodes of response in order to monitor the nonlinearity of the system. The learning ability of the network is examined for the use of multiple inputs. The effects of the network parameters on learning and accuracy of predictions are discussed. Based on this study it is found that the configuration of neural network model is the same as NARMA model and has the potential for structural damage detection.

Paper Details

Date Published: 9 June 2000
PDF: 12 pages
Proc. SPIE 3995, Nondestructive Evaluation of Highways, Utilities, and Pipelines IV, (9 June 2000); doi: 10.1117/12.387830
Show Author Affiliations
Chin-Hsiung Loh, National Ctr. for Research on Earthquake Engineering (Taiwan)
ShyChing Yeh, National Ctr. for Research on Earthquake Engineering (Taiwan)


Published in SPIE Proceedings Vol. 3995:
Nondestructive Evaluation of Highways, Utilities, and Pipelines IV
A. Emin Aktan; Stephen R. Gosselin; Stephen R. Gosselin, Editor(s)

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