Automatic Bayesian modal identification method for UHV transmission&nbsp;tower under environmental excitation

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Journal of Vibration and Shock ›› 2025, Vol. 44 ›› Issue (15) : 41-49.

VIBRATION THEORY AND INTERDISCIPLINARY RESEARCH

Automatic Bayesian modal identification method for UHV transmission tower under environmental excitation

WEI Sitong1, SU Youhua1, ZHU Yanming1, ZHAO Chao1, LIU Jinjing1, YANG Lei2, SUN Qing*1

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Abstract

Ultra-high voltage (UHV) transmission tower is of great significance to national energy security and economic development. It is necessary to evaluate its dynamic characteristics for safe operation. Taking a typical 1000kV UHV angle steel transmission tower as an example, the response data are collected by ambient excitation method in the full-scale field test. To reduce noise interference, the coherence-clustering theory is integrated with the traditional Bayesian method. An automated Bayesian modal identification method for UHV transmission towers is developed. The validity of the proposed method is verified by numerical model. The accurate modal parameters and the associated uncertainty quantification are identified. It is shown that the proposed method could effectively reduce noise interference, which is appliable for automated modal identification of UHV transmission towers. The fundamental natural frequency of the tested 1000kV UHV transmission tower is 1.39Hz and the corresponding damping ratio is 3.30%. The first six mode shapes are bending and torsion on both main axes in turn. The uncertainty of damping ratio is significantly higher than the mode shape and the natural frequency, which shows that damping ratio is more discrete. The result could provide valuable basis for structural health monitoring and dynamic analysis of UHV transmission towers.

Key words

UHV transmission tower / automated Bayesian modal identification / full-scale field test / ambient excitation / uncertainty quantification

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WEI Sitong1, SU Youhua1, ZHU Yanming1, ZHAO Chao1, LIU Jinjing1, YANG Lei2, SUN Qing1. Automatic Bayesian modal identification method for UHV transmission tower under environmental excitation[J]. Journal of Vibration and Shock, 2025, 44(15): 41-49

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