Simultaneous Identification of structures and unknown seismic excitations for chain-like systems with unknown mass using partial absolute responses

被引:2
作者
Qiu, Hao [1 ]
Huang, Jinshan [1 ]
Zheng, Zhupeng [1 ]
机构
[1] Xiamen Univ, Dept Civil Engn, Xiamen 361005, Peoples R China
基金
中国国家自然科学基金;
关键词
extended Kalman filter; partial absolute measurement; seismic excitation; structural identification; unknown input; unknown mass; KALMAN FILTER; FORCE IDENTIFICATION; STATE ESTIMATION; MULTISTORY BUILDINGS; RESTORING FORCE; GROUND MOTION; JOINT INPUT; DATA FUSION; ACCELERATION; MODEL;
D O I
10.12989/sem.2021.79.6.699
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
It is necessary to identify structures with unknown mass and unknown seismic excitations simultaneously, but very limited methods have been proposed. In this paper, an algorithm is proposed to identify structural element mass, stiffness, and seismic excitations using only partial absolute structural responses of chain-like systems. In the first stage, the identification of structural element stiffness-mass coupled coefficients and unknown seismic excitations is conducted based on the generalized extended Kalman filter with unknown input (GEKF-UI) developed by the authors. In the second stage, these coupled coefficients are decoupled by cluster analysis and the least squares estimation (LSE) to obtain structural element stiffness and mass changes. The effectiveness of the proposed algorithm is numerically investigated using a four-story frame structure under three scenarios of changed conditions. Moreover, experimental validation by the shaking table test of a shear structure under two scenarios is also performed to identify structures and seismic excitations simultaneously.
引用
收藏
页码:699 / 709
页数:11
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