基于滑窗OPTICS算法和DATA-SSI算法的桥梁模态参数智能化识别

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Abstract In order to better identify the modal parameters of existing bridge structures. Moreover, in view of the shortcomings of the existing Data-driven Stochastic Subspace Identification(DATA SSI algorithm), which is unable to achieve automatic screening of true and false modes in the stability diagram. A new intelligent identification algorithm of modal parameters is proposed. Firstly, the sliding window technology is adopted to achieved the division of input signals, so as to avoid the false modes and modal omission as much as possible. Secondly, the Ordering Points To Identify the Clustering Structure (OPTICS) algorithm is used to fulfill the intelligent screening of the real modes in the stability diagram. Finally, the proposed algorithm is applied to a real large cable-stayed bridge for identifying the frequency and mode shapes of the main beam. The results show that the errors among the frequency value which is identified by the improved algorithm, the theoretical value (It means MIDAS finite element results) and the actual value (field dynamic characteristic measurement result) are within 5% separately, and the identified mode shape diagram has a high similarity with the theoretical mode shape diagram.

Key words： Bridge structure Stochastic Subspace Identification Sliding-window theory Density-based spatial clustering algorithm Stability diagram

Received: 25 May 2023 Published: 15 April 2024

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	Articles by authors
	CHEN Yonggao1
	ZHONG Zhenyu1
	2
	LUO Xiaofeng1
	2

Cite this article:

CHEN Yonggao1,ZHONG Zhenyu1,2, et al. Intelligent identification of bridge modal parameters based on sliding-window OPTICS algorithm and DATA-SSI algorithm[J]. JOURNAL OF VIBRATION AND SHOCK, 2024, 43(7): 18-29.

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http://jvs.sjtu.edu.cn/EN/ OR http://jvs.sjtu.edu.cn/EN/Y2024/V43/I7/18

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