Damage Detection of Transmission Tower Based on Stochastic Subspace and Statistic Model

During the long service period of the transmission tower, the severe environment, material aging and fatigue effects result in the damage accumulation and resistance fading of the transmission tower, which even lead to the structural failure. In this paper, a stochastic subspace-based damage detecti...

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Bibliographic Details
Published in:IOP conference series. Earth and environmental science 2021-03, Vol.687 (1), p.12086
Main Authors: Xingjie, Wang, Tingting, Yang, Meigen, Cao, Chong, Zheng, Wensong, Zhou, Yutong, Pang
Format: Article
Language:English
Subjects:
Aging
Aging (materials)
Algorithms
Computer simulation
Construction
Covariance matrix
Damage accumulation
Damage detection
Hankel matrices
Mathematical models
Parameter identification
Parameter sensitivity
Signal processing
Statistical analysis
Statistical models
Structural damage
Structural failure
Structural vibration
Transmission towers
Vibration
Vibration analysis
Vibration response
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Summary:During the long service period of the transmission tower, the severe environment, material aging and fatigue effects result in the damage accumulation and resistance fading of the transmission tower, which even lead to the structural failure. In this paper, a stochastic subspace-based damage detection algorithm combined with statistical model is proposed for the damage identification of transmission tower structures through processing and analysing its vibration signals. Based on the structural modal parameters identified from the structural vibration response, the nominal modal parameters are defined. Considering that the Hankel matrixes constructed by the system observability matrix and the system output covariance matrix have the same kernel space, the damage index sensitive to the modal parameters is constructed. In the manuscript, firstly, the damage index establishment method and process of the algorithm are presented; and then the vibration data of transmission tower structure simulation under different damage conditions are obtained through numerical simulations; finally, above data are analysed to obtain the damage identification results of transmission tower. The results show that the method proposed in this work can effectively identify the local damage of transmission tower structure.
ISSN:1755-1307
1755-1315
DOI:10.1088/1755-1315/687/1/012086