Non-Stationary Wind Loading Identification for Large Transmission Tower Based on Dynamic Finite-Element Model Updating

Nai-Long Zhang, Chao Gao, Gang Qiu, Jing-Gang Yang, Bai-Jian Wu and Xiao-Xiang Cheng ()
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Nai-Long Zhang: Electric Power Research Institute of State Grid Jiangsu Electric Power Co., Ltd., Nanjing 210000, China
Chao Gao: State Grid Jiangsu Electric Power Co., Ltd., Nanjing 210000, China
Gang Qiu: Electric Power Research Institute of State Grid Jiangsu Electric Power Co., Ltd., Nanjing 210000, China
Jing-Gang Yang: Electric Power Research Institute of State Grid Jiangsu Electric Power Co., Ltd., Nanjing 210000, China
Bai-Jian Wu: School of Civil Engineering, Southeast University, Nanjing 211189, China
Xiao-Xiang Cheng: School of Civil Engineering, Southeast University, Nanjing 211189, China

Energies, 2025, vol. 18, issue 2, 1-20

Abstract: An effective approach to deal with the structural failures of transmission towers in tornadic events is to develop good structural health monitoring (SHM) systems for them. However, the strategy for SHM of transmission towers against tornados should be different from the conventional atmospheric boundary layer (ABL) winds oriented ones, as the non-stationary nature of the tornados significantly differentiates them from the ABL winds. To satisfy the need of obtaining the highly time-varying whole-field stress on the structure in the course of the tornadic event for effective SHM, an innovative transient tornadic load distribution identification method is proposed for use, which is based on the field structural mode shape measurement and dynamic finite-element (FE) model updating. Via a numerical case study, it is noted that good effectiveness is achieved for the new load distribution identification method. Employing the Modal Assurance Criteria based FE model updating technique, the new method has the advantage of being easily embraced in practical SHM systems. It is found that when the transient tornadic velocity profile to be identified is noticeably different from the mode shape of the structure without undertaking external loads, the identified load pattern is very accurate for the new approach.

Keywords: transmission tower; tornado; structural health monitoring; load distribution; parameter identification; numerical analysis; field modal experiment (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: 2025
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