摘要
为解决码头结构健康监测领域的传感器优化布置问题,提出了一种基于改进多目标粒子群(IMOPSO)的传感器优化布置算法。针对传统方法寻优效率低、优化目标单一,难以同时满足模态识别、损伤识别等复杂的健康监测需求的问题,构建了以损伤敏感性和冗余性、损伤识别不适定性以及模态线性独立性的多目标优化函数;改进多目标粒子群算法获取Pareto解集,利用TOPSIS熵权法确定最优传感器布置方案。在某高桩码头试验表明:与有效独立法和有效独立-模态动能法相比,IMOPSO得到的布设方案测点分布更均匀,在灵敏度矩阵条件数、MAC最大非对角元、损伤冗余性指标分别优化了45%、90%、5%以上;多种工况下的损伤位置和程度识别准确率在不同噪声下平均提高5%和7%以上。
Here,to solve the problem of optimal sensor placement in field of wharf structural health monitoring,a optimal sensor placement algorithm based on improved multi-objective particle swarm optimization(IMOPSO)algorithm was proposed.Aiming at traditional method’s problems of low optimization efficiency,single optimization objective and being difficult to simultaneously satisfy modal identification and damage identification,etc.complex health monitoring needs,a multi-objective optimization function was constructed based on damage sensitivity and redundancy,damage identification ill posedness and modal linear independence.The multi-objective particle swarm optimization algorithm was improved and called IMOPSO to obtain Pareto solution set,and TOPSIS entropy weight method was used to determine the optimal sensor placement scheme.Tests conducted on a high pile wharf showed that compared with the effective independence method and the effective independence-modal kinetic energy method,the placement scheme obtained with IMOPSO has a more uniform distribution of measurement points,and sensitivity matrix condition number,MAC maximum non-diagonal element and damage redundancy index are optimized by more than 45%,90% and 5%,respectively;identifying accuracies of damage location and damage degree under multiple working conditions are averagely improved by more than 5% and 7%,respectively under different noises.
作者
周鹏飞
张雍
ZHOU Pengfei;ZHANG Yong(Faculty of Infrastructure Engineering,Dalian University of Technology,Dalian 116033,China)
出处
《振动与冲击》
北大核心
2025年第1期243-251,共9页
Journal of Vibration and Shock
基金
国家自然科学基金(71101014,71211140349)。
关键词
码头结构健康监测
传感器优化布置
损伤识别
改进多目标粒子群(IMOPSO)
wharf structural health monitoring
optimal sensor placement
damage identification
improved multi-objective particle swarm optimization(IMOPSO)
作者简介
第一作者:周鹏飞,男,博士,副教授,1977年生,E-mail:pfzhou@yeah.net。
