Damage identification for concrete continuous rigid frame bridge based on curvature mode and BP neural network

The training samples needed to damage identification of actual structures by adopting neural network are extremely numerous. It is difficult for the neural network method to be applied alone to actual engineering structures. Hence, two-step damage identification method has been developed in this work. In the first step, the damage locations are detected by means of a new damage index in curvature mode method. Then, the damage degree can be accurately identified by applying the BP neural network. Some damaged places are assumed in an actual concrete continuous rigid frame bridge. The new method can be successful to identify the damage locations as well as the damage degree.