Reliability Analysis of Transmission Tower Based on Unscented Transformation Under Ice and Wind Loads
Jianghong Chen,
Xiaohan Zhao (),
Kanghao Shi,
Zhiqiang Ao and
Xinchao Zheng
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Jianghong Chen: College of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443002, China
Xiaohan Zhao: College of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443002, China
Kanghao Shi: College of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443002, China
Zhiqiang Ao: College of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443002, China
Xinchao Zheng: College of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443002, China
Energies, 2024, vol. 17, issue 22, 1-13
Abstract:
Due to the complexity of the transmission tower structure and the correlation between wind and ice loads in the actual project, it is difficult to analyze the reliability of transmission towers with traditional methods. To solve this problem, the unscented transformation (UT) principle is presented concisely and used in the reliability analysis of transmission towers in this paper. Moreover, the finite element model of the target transmission tower is created. The reliability indices of the transmission tower under various loading cases are evaluated using UT and analyzed relative to the outcomes of the Monte Carlo method (MCS). Lastly, by analyzing and validating a wine-cup shape tangent tower, the simulation results show that the UT yields reliability indices with less than 6% relative error compared with MCS results for the transmission towers with lower reliability, which are more important in engineering. Variations in error caused by the change in correlation coefficients among variables are small. Consequently, the efficiency of calculations is improved by the UT-based reliability calculations for transmission towers in the case of correlated variables, which better meet engineering application requirements. It is proved that the method of reliability analysis for transmission towers based on the UT is applicable.
Keywords: transmission tower; unscented transformation method; reliability index; wind load; Monte Carlo method (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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