Reliability Analysis of Transmission Tower Based on Unscented Transformation Under Ice and Wind Loads

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...

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Main Authors: Jianghong Chen, Xiaohan Zhao, Kanghao Shi, Zhiqiang Ao, Xinchao Zheng
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/17/22/5604
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author Jianghong Chen
Xiaohan Zhao
Kanghao Shi
Zhiqiang Ao
Xinchao Zheng
author_facet Jianghong Chen
Xiaohan Zhao
Kanghao Shi
Zhiqiang Ao
Xinchao Zheng
author_sort Jianghong Chen
collection DOAJ
description 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.
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id doaj-art-9b8b51d8beb5499c9a8682fad38ea5bf
institution Kabale University
issn 1996-1073
language English
publishDate 2024-11-01
publisher MDPI AG
record_format Article
series Energies
spelling doaj-art-9b8b51d8beb5499c9a8682fad38ea5bf2024-11-26T18:02:00ZengMDPI AGEnergies1996-10732024-11-011722560410.3390/en17225604Reliability Analysis of Transmission Tower Based on Unscented Transformation Under Ice and Wind LoadsJianghong Chen0Xiaohan Zhao1Kanghao Shi2Zhiqiang Ao3Xinchao Zheng4College of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443002, ChinaCollege of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443002, ChinaCollege of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443002, ChinaCollege of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443002, ChinaCollege of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443002, ChinaDue 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.https://www.mdpi.com/1996-1073/17/22/5604transmission towerunscented transformation methodreliability indexwind loadMonte Carlo method
spellingShingle Jianghong Chen
Xiaohan Zhao
Kanghao Shi
Zhiqiang Ao
Xinchao Zheng
Reliability Analysis of Transmission Tower Based on Unscented Transformation Under Ice and Wind Loads
Energies
transmission tower
unscented transformation method
reliability index
wind load
Monte Carlo method
title Reliability Analysis of Transmission Tower Based on Unscented Transformation Under Ice and Wind Loads
title_full Reliability Analysis of Transmission Tower Based on Unscented Transformation Under Ice and Wind Loads
title_fullStr Reliability Analysis of Transmission Tower Based on Unscented Transformation Under Ice and Wind Loads
title_full_unstemmed Reliability Analysis of Transmission Tower Based on Unscented Transformation Under Ice and Wind Loads
title_short Reliability Analysis of Transmission Tower Based on Unscented Transformation Under Ice and Wind Loads
title_sort reliability analysis of transmission tower based on unscented transformation under ice and wind loads
topic transmission tower
unscented transformation method
reliability index
wind load
Monte Carlo method
url https://www.mdpi.com/1996-1073/17/22/5604
work_keys_str_mv AT jianghongchen reliabilityanalysisoftransmissiontowerbasedonunscentedtransformationundericeandwindloads
AT xiaohanzhao reliabilityanalysisoftransmissiontowerbasedonunscentedtransformationundericeandwindloads
AT kanghaoshi reliabilityanalysisoftransmissiontowerbasedonunscentedtransformationundericeandwindloads
AT zhiqiangao reliabilityanalysisoftransmissiontowerbasedonunscentedtransformationundericeandwindloads
AT xinchaozheng reliabilityanalysisoftransmissiontowerbasedonunscentedtransformationundericeandwindloads