An Improved PSO Algorithm and Its Application to Structural Damage Detection

Ling Yu, Zu-yong Wan
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引用次数: 6

Abstract

The particle swarm optimization (PSO) algorithm with inertial weight is improved by adopting the sigmoid function and applied to structural damage identification in frame structures in this paper. The theoretical background on the improved PSO (IPSO) algorithm is introduced, a suite of four famous benchmark functions are then employed for evaluation on the IPSO performance. Some comparative studies on single and multi-damage of a 2-story rigid frame structure have been carried out. The illustrated results show that the IPSO algorithm can significantly improve the performance of the conventional PSO algorithm. IPSO can locate and identify structural damage with higher accuracy.
改进的粒子群算法及其在结构损伤检测中的应用
本文采用s型函数对具有惯性权重的粒子群优化算法进行改进,并将其应用于框架结构的结构损伤识别中。介绍了改进的粒子群算法(IPSO)的理论背景,并采用一套著名的四个基准函数对IPSO算法的性能进行了评价。对某2层刚架结构进行了单、多重损伤对比研究。算例结果表明,该算法能显著提高传统粒子群算法的性能。IPSO对结构损伤具有较高的定位和识别精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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