基于粒子群算法的大跨度空间结构监测系统中应变传感器最优布点研究  

Optimal Placement of Strain Sensors for Monitoring Systems on Reticulated Shells Using Particle Swarm Optimization

作　　者：徐菁[1,2] 李壮 刁延松[1] 

机构地区：[1]青岛理工大学土木工程学院,山东青岛266033 [2]兰州理工大学土木工程学院,兰州730050

出　　处：《建筑钢结构进展》2013年第1期57-64,共8页Progress in Steel Building Structures

基　　金：国家自然科学基金(51179082);山东省高等学校科技计划(J12LG09)

摘　　要：以网壳结构为对象,利用粒子群算法研究了其环向和径向杆件上传感器的最优布点。首先讨论了粒子群算法的基本原理和优点以及在结构健康监测系统中为探测累积损伤用的传感器最优布点;接着,以凯威特型网壳为例讨论了用粒子群算法求大跨度空间网壳结构最优测点。针对应变传感器提出了相应的适应度由曲率模态表示,根据该适应度采用粒子群算法搜索了凯威特型网壳上的应变传感器最优布点。研究结果表明,采用粒子群算法搜索网壳结构监测系统中应变传感器最优布点方法,计算结果稳定可靠,收敛速度迅速。Damage detection is the most difficult part of structural health monitoring systems.In order to acquire response information as much as possible, sensors should be carefully placed.Taking Kiewitt reticulated shell as an example and using particle swarm optimization(PSO), this paper discussed the optimal placement of strain sensors on reticulated shells for detection of accumulated damage in structural health monitoring systems.After a brief discussion on the PSO and background of the monitoring systems, on the basis of curvature modes, the expression of the fitness was defined for strain sensors.PSO method was used to search the optimal placement of strain gages on the ring and radial bars of Kiewitt reticulated shell.The results show that PSO method gives reliable and stable results with rapid convergence.

关 键 词：粒子群算法 应变传感器 最优布置 曲率模态 结构监测系统 

分 类 号：TU393.3[建筑科学—结构工程]