Author
Listed:
- 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)
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.
Suggested Citation
Nai-Long Zhang & Chao Gao & Gang Qiu & Jing-Gang Yang & Bai-Jian Wu & Xiao-Xiang Cheng, 2025.
"Non-Stationary Wind Loading Identification for Large Transmission Tower Based on Dynamic Finite-Element Model Updating,"
Energies, MDPI, vol. 18(2), pages 1-21, January.
Handle:
RePEc:gam:jeners:v:18:y:2025:i:2:p:357-:d:1567750
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