A new method for the identification of hysterically degrading structures using BWBN model

摘要：

　　System identification has become a major technique to identifiy system internal variables and system state to prevent degradation of structural or mechanical systems.In this wok,A new scheme is proposed to identify general hysteretic behavior of a typical shear structure subjected to external excitations by incorporating a “Grey Box strategy,an Intelligent Parameter Varying(IPV)and Artificial Neural Network(ANN)approach.Results show IPV has high computational efficiency and identification accuracy.

关键词： Hysteretic Behavior BWBN Model Intelligent Parameter Varying (IPV)

作者: Y.Zhao M.Noori W.Altabey

作者单位: International Institute for Urban Systems Engineering,Southeast University,Nanjing(210096),China International Institute for Urban Systems Engineering,Southeast University,Nanjing(210096),China;Pro International Institute for Urban Systems Engineering,Southeast University,Nanjing(210096),China;Dep

会议类型: 国际会议

会议名称: The 7th World Conference on Structural Control and Monitoring(7WCSCM)(第七届结构控制与监测世界大会)

会议地点: 青岛

会议语种:英文

页码: 2252-2257

在线出版日期: 2018-07-22（万方平台首次上网日期，不代表论文的发表时间）