Structural Engineering and Mechanics

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Performance assessment and collapse prediction of a latticed tension-type transmission tower

  • Liu, Juncai (School of Civil Engineering, Shandong University) ;
  • Tian, Li (School of Civil Engineering, Shandong University) ;
  • Ma, Ruisheng (School of Civil Engineering, Shandong University) ;
  • Zhang, Bin (Power China Henan Electric Power Survey & Design Institute Co., Ltd) ;
  • Xin, Aiqiang (School of Civil Engineering, Shandong University)
  • Received : 2021.05.22
  • Accepted : 2021.07.14
  • Published : 2021.10.10
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Abstract

This paper aims to provide a comprehensive performance assessment of a latticed tension-type transmission tower by performing both full-scale static tests and numerical simulations. In particular, a full-scale tension-type transmission tower was firstly constructed and tested for examining the performances under design loads and the ultimate capacity under an extreme wind load. The displacement and strain responses are investigated, and the failure process of the tension-type tower is presented. Numerical simulations are then performed in order to capture the failure process and estimate the bearing capacity of the experimental tower under the overload case. Moreover, Numerical simulations are also adopted to evaluate the influence of wind attack angles on the structural behavior of the tested tower. Experimental and numerical results demonstrate that this latticed tension-type transmission tower is designed with sufficient capacity to resist the design loads, and the buckling failures of the leg members at the bottom are the governing reason for the collapse of tower. In addition, the developed numerical model can accurately present the failure and structural response of the tension-type tower, and the influence of wind attack angles on the structural behavior is significant. This research is beneficial for improving the understanding on the bearing capacity and design of latticed tension-type transmission towers.

Keywords

Acknowledgement

This research was financially supported by the National Natural Science Foundation of China (under Awards No. 51778347 and No. 51578325) and the Young Scholars Program of Shandong University (under Award No. 2017WLJH33).

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