会议专题

Optimal Sensors Placement for Health Monitoring System of Long-span Steel Truss Railway Cable-stayed Bridge

The optimal placement method of sensorsis carried out based on improved adaptive genet -ic algorithm for solving the optimal placementproblem of sensorsin the health monitoring systemof long-span railway bridge. Dual structure coding method is introduced to improve the individual enco -ding method in the genetic algorithm. Adaptive partial matching crossover andinversus mutation methodsareadopted in the optimal preservation strategy , andthe crossover probability and mutation probability are changed automatically according to the fitness value for obtaining the global optimal solution of the sensor placement. Therefore, some defects in other genetic algorithm applied in the optimal placement of sensors for major bridge structure ,such as slow convergence speed and easily falling into local optimum etc. ,are overcome,and the convergence is speed up. Then the optimal sensors placement of the health monitoring system for one certain long -span railway steel truss cable-stayed bridge is taken as the example to verify the proposed improved genetic algorithm. The result shows that the proposed method has better global optimization , computational efficiency and reli -ability in compare with the Simple Genetic Algorithm and General Genetic Algorithm , and can be applied to the actual railway cable-stayed bridge health monitoring system for the sensors optimal placement.

Deshan SHAN Zhenhua WAN Qiao LI

Bridge Engineering Department, Civil Engineering School,Southwest Jiaotong University , Chengdu 610031, China

国际会议

5th International Symposium on Environmental Vibration(第五届环境振动国际研讨会)

成都

英文

554-560

2011-10-20(万方平台首次上网日期,不代表论文的发表时间)