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Article type: Research Article
Authors: Li, Kaia | Zhu, Ruib; * | Wang, Zhenguoc | Zhou, Xiaoyuc | Wang, Mingxina | Xu, Siyua | Gong, Yichenga
Affiliations: [a] School of Energy and Mechanical Engineering, Shanghai Electric Power University, Shanghai, China | [b] School of Mathematics and Physics, Shanghai Electric Power University, Shanghai, China | [c] State Grid Zhejiang Electric Power Co. LTD. Research Institute, Hangzhou, Zhejiang, China
Correspondence: [*] Corresponding author: Rui Zhu, College of Mathcmatics and Physics, Shanghai University of Electric Power, Shanghai, China. E-mail: zhuruish@163.com.
Abstract: The structure of the long-span transmission tower is a typical nonlinear structure with the characteristics of great height, large line span, heavy overall weight and flexible tower body. The current design code only analyzes the traditional tower types, but the analysis of the truss structure of transmission tower is limited. Aiming at improving the design defects of the structure of long-span transmission towers, this paper uses the finite element software APDL to build the three-dimensional finite element model of a long-span transmission tower, to carry out the modal finite element analysis as well as to extract the specific parameters of each modal finite element mode: Modality, Natural frequency of vibration, Periodicity. The results show that the natural vibration period of the main machinery of this type of steel transmission tower is about 0.37–1.37 s; The structure of the long-span transmission tower has certain displacements in six degrees of freedom, in which the value of the X-dimensional displacement is the largest. There are some large displacements and local torsion in the high-order mode, combined with the results of modal analysis, so it is suggested to consider the structural improvement or external reinforcement of the weak parts of the long-span transmission tower.
Keywords: Long-span transmission tower, modeling, modal analysis, APDL
DOI: 10.3233/JCM-226644
Journal: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 3, pp. 1491-1501, 2023
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