Automatic identification method for structural modal parameters based on stochastic subspace identification

被引：0
|
作者：
Li A. [1 ,2 ]
Zhang C. [1 ]
Deng Y. [1 ]
Zhong G. [3 ]
Liu S. [3 ]
机构：
[1] School of Civil and Transportation Engineering, Beijing University of Civil Engineering and Architecture, Beijing
[2] School of Civil Engineering, Southeast University, Nanjing
[3] Shandong Provincial Communications Planning and Design Institute Group Co., Ltd., Jinan
来源：
Dongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Southeast University (Natural Science Edition) | 2023年 / 53卷 / 01期
关键词：
automatic structural modal parameters identification; ordering points to identify the clustering structure (OPTICS) algorithm; stabilization diagram; stochastic subspace identification (SSI); structural health monitoring;
D O I：
10.3969/j.issn.1001-0505.2023.01.007
中图分类号：
学科分类号：
摘要：
To solve the problem of insufficient anti-noise ability in the automatic analysis of stable poles by stochastic subspace identification (SSI) method, a new automatic identification method for modal parameters was proposed. Firstly, stable poles were output by covariance driven stochastic subspace identification (COV-SSI) combined with a new definition of stable poles. Secondly, the modified ordering points to identify the clustering structure (OPTICS) algorithm was used to clean and cluster stable poles. Thirdly, an adaptive merging method based on the median frequency was proposed to aggregate the incompletely merged clusters, and the cluster median was used as the representative value of the modal parameters to realize automatic modal identification without manual intervention. Finally, the feasibility was validated by taking the Lysefjord suspension bridge model as an example. The results show that the proposed method can achieve automation with high accuracy, and the maximum error of the frequency value is only 1. 926%. It can automatically and accurately identify the modal parameters at various levels of noise interference, and its robustness advantage is obvious compared with the control methods. © 2023 Southeast University. All rights reserved.
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页码：53 / 60
页数：7
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