面向桥梁状态评估的传感器优化配置

Optimal Sensor Placement for Bridge Condition Assessment

以模态置信度矩阵(modal assurance criterion简称MAC)、Fisher信息阵和振型误差为优化准则,采用整数编码遗传算法,探讨了模态挠度法应用中的有限元模型修正和模态挠度计算的传感器优化配置问题。与常用的平分法、有效独立法及基于QR分解的逐步累积法比较,优化配置结果表明,整数编码遗传算法优于上述3种方法。

Taking MAC matrix and Fisher information matrix,and shape error as optimization criteria respectively,the integer-coded genetic algorithm is applied to optimal sensor placement.Compared with three existing optimal sensor placement method,which are divide equally method,effective independence method,and cumulative method based on QR decomposition,The results indicate that the integer-coded genetic algorithm is better than three existing method.