基于随机子空间方法的悬臂结构损伤识别研究

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Abstract In order to judge and locate the damage of cantilever structures by using the stochastic subspace identification (SSI) method, a datadriven SSI algorithm was proposed to identify the state matrix of vibration measurement signals. In order to consider the variousness of the state matrix A, two transformation matrixes T and T1 were built, so that the matrix A in different states could be converted to a specific state by using matrix T or T1. The matrix T was constructed by the feature vector matrix of eigenvalue decomposition of matrix A. The transformed matrix A was used to judge whether the structure was damaged or not and how the relative damage degree was. The matrix T1 was constructed by utilizing the matrix A and discrete output matrix C. The transformed matrix A contains measuring point informations, which can be used for structural damage localization. The damage index was determined by the statistical method, which was calculated according to the Mahalanobis distance of specimens before and after damage. The efficiency of the method was verified by a simulated cantilever structure with three degrees of freedom and the tower damage experiment of a model cablestayed bridge.

Key words： stochastic subspace damage state space model cantilever structure

Received: 15 March 2017 Published: 15 July 2018

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	Articles by authors
	TANG Shenghua1
	FANG Zhi2
	ZHANG Guogang3

Cite this article:

TANG Shenghua1,FANG Zhi2,ZHANG Guogang3. Damage identification of cantilever structures based on stochastic subspace method[J]. JOURNAL OF VIBRATION AND SHOCK, 2018, 37(14): 141-148.

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http://jvs.sjtu.edu.cn/EN/ OR http://jvs.sjtu.edu.cn/EN/Y2018/V37/I14/141

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