DOI QR코드

DOI QR Code

Probabilistic bearing capacity assessment for cross-bracings with semi-rigid connections in transmission towers

  • Zhengqi Tang (School of Civil Engineering, Chongqing University) ;
  • Tao Wang (School of Transportation Science and Engineering, Harbin Institute of Technology) ;
  • Zhengliang Li (School of Civil Engineering, Chongqing University)
  • 투고 : 2022.04.30
  • 심사 : 2024.02.01
  • 발행 : 2024.02.10

초록

In this paper, the effect of semi-rigid connections on the stability bearing capacity of cross-bracings in steel tubular transmission towers is investigated. Herein, a prediction method based on the hybrid model which is a combination of particle swarm optimization (PSO) and backpropagation neural network (BPNN) is proposed to accurately predict the stability bearing capacity of cross-bracings with semi-rigid connections and to efficiently conduct its probabilistic assessment. Firstly, the establishment of the finite element (FE) model of cross-bracings with semi-rigid connections is developed on the basis of the development of the mechanical model. Then, a dataset of 7425 samples generated by the FE model is used to train and test the PSO-BPNN model, and the accuracy of the proposed method is evaluated. Finally, the probabilistic assessment for the stability bearing capacity of cross-bracings with semi-rigid connections is conducted based on the proposed method and the Monte Carlo simulation, in which the geometric and material properties including the outer diameter and thickness of cross-sections and the yield strength of steel are considered as random variables. The results indicate that the proposed method based on the PSO-BPNN model has high accuracy in predicting the stability bearing capacity of cross-bracings with semi-rigid connections. Meanwhile, the semi-rigid connections could enhance the stability bearing capacity of cross-bracings and the reliability of cross-bracings would significantly increase after considering semi-rigid connections.

키워드

과제정보

This work presented in this paper was fully supported by the NSFC-JSPS China-Japan Scientific Cooperation Project (NSFC Grant No. 51611140123) and the National Natural Science Foundation of China (Grant No. 51478064). The authors would like to express their gratitude for all supports.

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