The Health Monitoring of Bridges using Artificial Neural Networks
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ABSTRACTThis study develops a neural network system to monitor the safety of a bridge structure. A truck of constant mass is driven at constant speed through the target bridge. Then, the maximal and minimal values of the bridge elongations are processed by a monitoring system to evaluate the current condition of the bridge. The monitoring system is composed of parallel backpropagation neural networks. Each neural network monitors a part of the bridge. The neural networks are trained using simulation data. The numerical example shows that the monitoring system is effective in the damage detection of the bridge.
2020 ◽
Vol 9
(7)
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pp. 1216-1221
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2012 ◽
pp. 306-322
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2006 ◽
pp. 109-123
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