TY - JOUR A2 - Yu, Bin AU - Liu, Hanbing AU - Song, Gang AU - Jiao, Yubo AU - Zhang, Peng AU - Wang, Xianqiang PY - 2014 DA - 2014/08/14 TI - Damage Identification of Bridge Based on Modal Flexibility and Neural Network Improved by Particle Swarm Optimization SP - 640925 VL - 2014 AB - An approach to identify damage of bridge utilizing modal flexibility and neural network optimized by particle swarm optimization (PSO) is presented. The method consists of two stages; modal flexibility indices are applied to damage localizing and neural network optimized by PSO is used to identify the damage severity. Numerical simulation of simply supported bridge is presented to demonstrate feasibility of the proposed method, while comparative analysis with traditional BP network is for its superiority. The results indicate that curvature of flexibility changes can identify damages with both single and multiple locations. The optimization of bias and weight for neural network by fitness function of PSO algorithm can realize favorable damage severity identification and possesses more satisfactory accuracy than traditional BP network. SN - 1024-123X UR - https://doi.org/10.1155/2014/640925 DO - 10.1155/2014/640925 JF - Mathematical Problems in Engineering PB - Hindawi Publishing Corporation KW - ER -