基于部分观测识别非线性高层剪切框架结构参数与未知地震作用

戚铖恺1,吴嘉敏1,黄金山1,杨宁2,3

振动与冲击 ›› 2022, Vol. 41 ›› Issue (24) : 51-59.

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PDF(1792 KB)
振动与冲击 ›› 2022, Vol. 41 ›› Issue (24) : 51-59.
论文

基于部分观测识别非线性高层剪切框架结构参数与未知地震作用

  • 戚铖恺1,吴嘉敏1,黄金山1,杨宁2,3
作者信息 +

Parameters and unknown seismic excitations identification for nonlinear high-rise shear-type buildings using partial measurements

  • QI Chengkai1,WU Jiamin1,HUANG Jinshan1,YANG Ning2,3
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摘要

地震作用下高层建筑结构状态识别具有重大意义。高层剪切框架结构因其自由度多,使得结构状态和性能参数识别的难度增加,尤其是在未知地震作用下。针对强震作用下高层剪切框架结构出现非线性的工况,基于未知地震作用下结构的绝对加速度响应的部分观测量,在课题组最新提出的广义未知激励下扩展卡尔曼滤波(GEKF-UI)方法的基础上,提出了一种子结构与GEKF-UI相结合的方法,同时识别非线性剪切框架结构参数与系统状态以及未知地震激励,通过将剪切框架子结构边界力作为附加未知激励,且无需观测边界处的响应,进行各子结构的独立并行识别,避免了误差累积。最后采用数值算例对方法进行了验证,结果表明所提方法可有效识别未知地震激励下的非线性高层建筑状态与参数,并同时识别未观测的地震激励。
关键词:高层建筑;参数识别;荷载识别;非线性系统识别;卡尔曼滤波;子结构方法

Abstract

It is of great significance to identify the structural state of high-rise buildings under the action of earthquake. Due to many degrees of freedom, it is more difficult to identify the structural state and physical parameters of high-rise shear frames, especially under unknown earthquake excitations. For the situation of nonlinear high-rise shear frames subjected to strong earthquake excitations, partially observed absolute acceleration responses of the structure are used in the identification manner. Based on the generalized extended Kalman filtering with unknown input (GEKF-UI) recently developed by the authors’ group, a sub-structural method combined with GEKF-UI is proposed for the simultaneous identification of nonlinear high-rise shear-type structural system and the unknown earthquakes. The proposed method can identify each substructure independently in parallel computing by treating the boundary forces as additional unknown excitations but without observing the responses at the interfaces of each substructure,which avoids the error accumulation in the previous sub-structural identification methods. Finally, numerical examples are used to verify the proposed methods. The results show that the method can simultaneously identify the structural state, parameters of nonlinear high-rise buildings and the unknown seismic excitations.

关键词

高层建筑 / 参数识别 / 荷载识别 / 非线性系统识别 / 卡尔曼滤波 / 子结构方法

Key words

High-rise building / Parameter identification;Load identification;Nonlinear system identification / Kalman filter / Sub-structural method

引用本文

导出引用
戚铖恺1,吴嘉敏1,黄金山1,杨宁2,3. 基于部分观测识别非线性高层剪切框架结构参数与未知地震作用[J]. 振动与冲击, 2022, 41(24): 51-59
QI Chengkai1,WU Jiamin1,HUANG Jinshan1,YANG Ning2,3. Parameters and unknown seismic excitations identification for nonlinear high-rise shear-type buildings using partial measurements[J]. Journal of Vibration and Shock, 2022, 41(24): 51-59

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