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用于结构减震控制的拉索式惯容系统跨层布置优化研究 被引量:4

STUDY ON OPTIMIZATION OF CROSS-LAYER CABLEBRACING INERTER SYSTEM FOR STRUCTURAL SEISMIC RESPONSE CONTROL
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摘要 本文提出了一种拉索式惯容系统的跨层布置方法用于结构减震控制.将地震激励模拟为金井清谱随机激励,构建统一的状态空间方程,进行线性系统直接随机分析,获得系统响应统计量.利用布置效率确定惯容系统布置位置,考虑惯容系统整体出力影响惯容系统自身造价及结构柱额外受力,将惯容系统出力状况作为经济指标.考虑结构位移响应及加速度响应与结构性能的相关性,将结构的位移响应及加速度响应作为减震效果指标.利用设计参数的多目标优化,获取惯容系统最优参数的帕累托前沿,指导设计并比较不同布置方法.最后,利用一个10层的基准结构进行减震效果分析,验证跨层布置的惯容系统优于一般层间惯容系统. This paper presents design method for a cross-layer layout of cable-bracing inerter system for structural seis-mic response control.The seismic excitation was modeled as the Kainai-Tajimi spectrum,a unified state space equation was constructed,and the direct random analysis of the linear system was carried out to obtain the system response statis-tics.The layout efficiency is used to determine the layout position of the inerter system.Considering the force of inerter system influences the cost of the inerter system and the additional stress on the structural column,the force of inerter sys-tem is taken as an economic index.Considering the correlation between the structural displacement response and acceler-ation response and the structural performance,the structural displacement response and acceleration response are taken as the performance index.Using multi-objective optimization of design parameters,the Pareto front can be obtained to guide design and compare different layout methods.Finally,a 10-story benchmark is used to analyze the damping effect and verify that the cross-layer distributed inerter system is superior to the general inter-layer distributed inerter system.
作者 薛松涛 康建飞 谢丽宇 Xue Songtao;Kang Jianfei;Xie Liyu(Department of Disaster Mitigation for Structures,Tongji University,Shanghai 200092,China;Department of Architecture,Tohoku Institute of Technology,Sendai 9828577,Japan)
出处 《动力学与控制学报》 2020年第5期72-78,共7页 Journal of Dynamics and Control
基金 国家自然科学基金资助项目(51778490) 上海市自然科学基金面上项目(20ZR1461800) 广东省地震工程与应用技术重点实验室开放基金项目(2017B030314068)。
关键词 跨层 惯容系统 被动控制 多目标优化 cross-layer inerter system passive vibration control multi-objective optimization
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