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

被引:0
|
作者
Qi C. [1 ]
Wu J. [1 ]
Huang J. [1 ]
Yang N. [2 ,3 ]
机构
[1] School of Architecture and Civil Engineering, Xiamen University, Xiamen
[2] School of Aerospace Engineering, Xiamen University, Xiamen
[3] School of Civil and Mechanical Engineering, Curtin University, Perth
来源
关键词
High-rise building; Kalman filter; load identification; nonlinear system identification; Parameter identification; Substructural method;
D O I
10.13465/j.cnki.jvs.2022.24.007
中图分类号
学科分类号
摘要
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 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. Based on the generalized extended Kalman filtering with unknown input (GEKF-UI) recently developed by the authors' group, a substructural method combined with GEKF-UI was proposed for simultaneous identification of a nonlinear high-rise shear-type structural system and the unknown earthquakes. The proposed method could identify each substructure independently in parallel computing by treating the boundary forces as additional unknown excitations but without observing the responses at the interlaces of each substructure,which avoided the error accumulation in the previous substructural identification methods. Finally numerical examples were 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. © 2022 Chinese Vibration Engineering Society. All rights reserved.
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页码:51 / 59
页数:8
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