The health monitoring of bridges using artificial neural networks
Journal
Journal of Mechanics
Journal Volume
17
Journal Issue
3
Pages
157-166
Date Issued
2001
Author(s)
Abstract
ABSTRACT This 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.
SDGs
Type
journal article