DAMAGE IDENTIFICATION OF BRIDGE BASED ON VARIATION RATIO OF CURVATURE MODE AND NEURAL NETWORK

摘要：

The damage identification of existing bridges is an important component of bridge health monitoring and is also the theoretical basis for maintenance and reinforcement. A new identification method to the damage bridge structure based on variation ratio of curvature mode and BP neural network is presented in this paper for identifying the location and extent of damages. The method is tested for a simply supported beam and a continuous beam bridge for the damage identification. The results show that this method can be obtained satisfactory precision even if the errors exist in the structural parametric FEM analysis of bridges. This method can also be applied to the damage identification of complex bridge structures.

关键词： bridge structure damage identification variation ratio of curvature mode BP neural network measured noises

作者: Chun-Cheng Liu Jian Xu Wei Zhang Jiao Liu

作者单位: School of Civil & Architecture Engineering, Northeast Dianli University, Jilin 132012, P.R. China Sc School of Civil & Architecture Engineering, Northeast Dianli University, Jilin 132012, P.R. China

会议类型: 国际会议

会议名称: 2009年土木工程结构创新与可持续发展国际会议(The International Symposium on Innovation & Sustainability of Structures in Civil Engineering)

会议地点: 广州

会议语种:英文

页码: 1196-1201

在线出版日期: 2009-11-28（万方平台首次上网日期，不代表论文的发表时间）