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

摘要：

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.

关键词： Concrete continuous rigid frame bridge Structural damage identification Curvature mode Neural network

作者: Zhao Li Xuesong Tang Xingye Chen

作者单位: School of Bridge and Structure Engineering, Changsha University of Science and Technology, Changsha 410076, China

会议类型: 国际会议

会议名称: 国际断裂力学2007年会(Fracture Mechanics and Applications 2007)

会议地点: 长沙

会议语种:英文

页码: 57-62

在线出版日期: 2007-11-01（万方平台首次上网日期，不代表论文的发表时间）