Identification of damage location in bridge deck by neural network

Identification of damage locations is an important step in damage detection for large-scale bridge structures. By taking the cable-stayed Kap Shui Mun Bridge as an example, a method of damage localization for bridge deck by pattern recognition technique using neural network is studied. Dynamic network and GA (genetic algorithm) network are used to investigate the feasibility of the method. For dynamic network, the network structure is constructed dynamically with training progress. For GA network, the genetic algorithm is introduced in network training. Both networks can give satisfactory results when a small number of parameters are inputted.