Damage Identification of Bridge Structures based on Improved Genetic Algorithms

摘要：

　　Genetic algorithm has powerful global search ability,and its better fitness has been gradually applied to the field of civil structure damage identification.The improved genetic algorithm based on the theory of fuzzy optimization has faster convergence speed and higher operational efficiency.The improved genetic algorithm is applied to damage identification of actual bridge structures.The different data collected by various sensors are processed centrally by data fusion method,which increases the accuracy of identification results.In this paper,the displacement,stress,acceleration and other parameters collected in the field were selected to identify the damage.The feasibility of the method was verified by programming with MATLAB software.

关键词： Bridge genetic algorithms damage recognition Fuzzy Optimum Selection data fusion

作者: Junge Li

作者单位: Jincheng College of Sichuan University,611731,China

会议类型: 国际会议

会议名称: 2019年第二届智能系统研究与机电工程国际会议(ISRME 2019) 2019 2nd International Conference on Intelligent Systems Research and Mechatronics Engineering

会议地点: 太原

会议语种:英文

页码: 232-236

在线出版日期: 2019-06-29（万方平台首次上网日期，不代表论文的发表时间）