Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 8, Issue 2


Published
on

October 15, 2023


Pages


DOI

Article

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


Authors

Quan Wang Affiliation:
Division of Construction, Gansu Electric Power Corporation, State Grid, Lanzhou, Gansu, 730000, China.
, Zhengfa Li Affiliation:
Division of Construction, Gansu Electric Power Corporation, State Grid, Lanzhou, Gansu, 730000, China.
, Fan Wang Affiliation:
Division of Construction, Gansu Electric Power Corporation, State Grid, Lanzhou, Gansu, 730000, China.
and Han Li Affiliation:
Division of Construction, Gansu Electric Power Corporation, State Grid, Lanzhou, Gansu, 730000, China.


Abstract

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.


Keywords

Fatigue damage accumulation, Fatigue loading, Finite element model, Fatigue life prediction, Power transmission towers, 28522


Citation

Wang, Q., Li, Z., Wang, F., & Li, H. (2023). Fatigue life prediction of power transmission towers based on nonlinear finite element analysis. Applied Mathematics and Nonlinear Sciences, 8(2). https://doi.org/10.2478/amns.2023.2.00630

Published by: Engineering Journals

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