基于时程响应QPSO算法识别结构损伤的研究

Structural damage detection based on quantum-behaved particle swarm optimization with time history response

提出将结构损伤的物理参数辨识问题转化为识别损伤位置和损伤程度的优化问题,利用结构时程响应的唯一性,通过预测结构模型与实际损伤结构构建目标函数,采用QPSO算法全局优化定位定量进行结构损伤识别,最后通过六层框架的数值模拟验证该方法的有效性。

This paper proposes a new approach that transforms the identification of structural damage physical parameters into the intelligent optimization of the damage location and damage degree. According to the unique- ness of structural time history response, Quantum-behaved Particle Swarm Optimization （QPSO） is used to opti- mize and identify the objective function constructed by the prediction model and actual damage structure, thus the damage location and damage extent are diagnosed. Finally, a numerical simulation of the six-story frame structure is applied to verify the effectiveness of the method herein.