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Structural Engineering and Mechanics Volume 89, Number 3, February10 2024 , pages 309-321 DOI: https://doi.org/10.12989/sem.2024.89.3.309 |
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Probabilistic bearing capacity assessment for cross-bracings with semi-rigid connections in transmission towers |
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Zhengqi Tang, Tao Wang and Zhengliang Li
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| Abstract | ||
| 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 PSOBPNN 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 crossbracings would significantly increase after considering semi-rigid connections. | ||
| Key Words | ||
| backpropagation neural network; cross-bracing; particle swarm optimization; probabilistic assessment; semirigid connection; stability bearing capacity; steel tubular transmission tower | ||
| Address | ||
| Zhengqi Tang: School of Civil Engineering, Chongqing University, Chongqing, China Tao Wang: School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin, Heilongjiang, China; Chongqing Research Institute of Harbin Institute of Technology, Harbin Institute of Technology, Chongqing, China Zhengliang Li: School of Civil Engineering, Chongqing University, Chongqing, China | ||