Tensor subspace identification method for bridge time-varying system and its test verification

被引：0

作者：

Zhang E. ^{[1
]}

Wu D. ^{[1
]}

Liu H. ^{[1
]}

Shan D. ^{[2
]}

机构：

[1] Sichuan Highway Planning, Survey, Design and Research Institute Ltd., Chengdu

[2] School of Civil Engineering, Southwest Jiaotong University, Chengdu

来源：

Zhendong yu Chongji/Journal of Vibration and Shock | 2021年 / 40卷 / 23期

关键词：

Bridge engineering; Subspace system identification; Tensor decomposition; Time-varying system;

D O I：

10.13465/j.cnki.jvs.2021.23.010

中图分类号：

学科分类号：

摘要：

Here, aiming at problems of lower computing efficiency, anti-noise and system identification ability of the 2D matrix subspace system identification method, based on the theory of tensor parallel factor decomposition and introducing time dimension, a new tensor subspace system identification method was proposed to track time-varying laws of modal parameters of nonlinear bridge systems. Time dimension was introduced into the 2D Hankel matrix to construct Hankel time-varying 3D tensor. Based on the state space model of structural vibration, the mathematical model for tensor subspace system identification was derived. Adopting the tensor factor decomposition theory combined with the stability graph method, the system matrix was solved in parallel and the false modal information was eliminated. Based on two cable-stayed model bridge tests, compared with the sliding window subspace system identification method, the proposed method's improvement of calculation efficiency and result accuracy was verified. The results showed that the proposed method can be used to solve system identification problems for deterministic and random nonlinear time-varying bridges. © 2021, Editorial Office of Journal of Vibration and Shock. All right reserved.

引用

页码：66 / 73

页数：7

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