Influence of loading sequence on wind induced fatigue assessment of bolts in TV-tower connection block

Chowdhury, Souma; Zabel, V.

doi:10.1016/j.rineng.2022.100603

Cited by 7 publications

(1 citation statement)

References 20 publications

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“…Tang Y et al concluded that strong typhoons could cause a certain degree of fatigue damage to transmission towers, which in turn can stop the operation of the power system, and thus developed an early warning method for transmission towers under typhoon hazards as a way to help the power sector develop emergency plans [16]. Chowdhury S & Zabel V discussed the specific structural applications of bolted connections in transmission poles, TV towers, and other projects, and fatigue life cycle estimation was carried out for bolted connection blocks, and the results showed that different loading sequences affect the stresses in the bolts to some extent [17]. Fu B et al studied the fatigue reliability of the tower and bolt structure of wind turbines.…”

Section: Introductionmentioning

confidence: 99%

Fatigue life prediction of power transmission towers based on nonlinear finite element analysis

Wang,

Li,

Wang

et al. 2023

Applied Mathematics and Nonlinear Sciences

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In this paper, firstly, the fatigue damage of transmission towers is analyzed from the fatigue load and fatigue damage, and the S-N curve of transmission towers is used to obtain the fatigue damage accumulation. Secondly, the finite element model of the transmission tower is constructed by using the finite element software ANSYS, and the way of its load calculation, as well as the remaining life estimation, is given. Finally, an example analysis was carried out using a transmission tower in the GZ area, and its fatigue life was calculated for it. The results show that when the average wind speed is 15m/s, the maximum wind load time at 40m height is 128N, and the minimum wind load time is −131N. The minimum value of the remaining life of the transmission tower in the GZ area is 64.532, which shows that the fatigue life of the transmission tower can be predicted by using nonlinear finite element analysis.

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Section: Introductionmentioning

confidence: 99%