基于POS算法的结构模型修正与损伤检测

结构模型修正与损伤检测是结构健康监测过程中必须解决的多学科研究课题，常常转化为求解约束优化问题。介绍粒子群优化（PSO）算法，并在此基础上利用带惯性权重因子的全局版PSO算法对结构模型修正和损伤检测等约束优化问题进行研究。通过两层刚架单损伤和多损伤数值仿真以及三层建筑框架结构四种损伤试验研究，结果表明PSO算法对结构模型修正能够起到非常好的效果，采用PSO算法对结构损伤进行检测不仅能够准确定位结构损伤而且能够有效识别损伤程度。由此可见，PSO算法应用于该领域的效果是显而易见的。

Structural Model Updating and Damage Detection Through Particle Swarm Optimization

Both structural model updating and structural damage detection, which must be tackled in the face of structural health monitoring, have been evolved into a multidisciplinary research subject and often converted into a constrained optimization problem. The Particle Swarm Optimization (PSO) algorithm is briefly introduced and then applied in structural model updating and structural damage detection. The numerical simulation about single and multi-damages of a 2-story rigid frame are conducted and some experiments on a 3-story building model are carried out. Some illustrating results show that the PSO algorithm is usable and valid for both structural model updating and structural damage detection.