磁滞
粒子群优化
非线性系统
控制理论(社会学)
普朗特数
鉴定(生物学)
系统标识
结构体系
计算机科学
算法
物理
工程类
结构工程
机械
人工智能
对流
控制(管理)
度量(数据仓库)
生物
数据库
量子力学
植物
作者
Tianyu Wang,Mohammad Noori,Wael A. Altabey,Mojtaba Farrokh,Ramin Ghiasi
标识
DOI:10.1177/14644207211006840
摘要
Hysteresis is a nonlinear phenomenon observed in the dynamic response behavior of numerous structural systems under high intensity cyclic or random loading, as well as in numerous mechanical and electromagnetic systems. For several decades, hysteretic response analysis of structural systems has been widely studied and numerous hysteresis models have been proposed and utilized in order to reproduce and better understand the complex hysteretically degrading behavior of structural systems. An important area of research in this regard has been the parameter identification of hysteretic systems. In this paper, we propose a modified Prandtl–Ishlinskii model to simulate the asymmetric hysteresis, which is the complex behavior in structural systems. In addition, a new approach based on particle swarm optimization and least-mean square algorithm is utilized for parameter identification of this hysteresis model. Finally, the model is applied in structural dynamic response analysis of a base isolated structural model under seismic load.
科研通智能强力驱动
Strongly Powered by AbleSci AI