Volume 25 Issue 5
Oct.  2025
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Article Navigation >  Journal of Traffic and Transportation Engineering  > 2025  >  25(5): 208-219
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PENG Tao, LU Xiao-long, LANG Qi-lin, TIAN Zhong-chu, WANG Xiao-hui. Reliability analysis of RC arch bridge during cantilever casting construction based on improved SO[J]. Journal of Traffic and Transportation Engineering, 2025, 25(5): 208-219. doi: 10.19818/j.cnki.1671-1637.2025.05.014
Citation: PENG Tao, LU Xiao-long, LANG Qi-lin, TIAN Zhong-chu, WANG Xiao-hui. Reliability analysis of RC arch bridge during cantilever casting construction based on improved SO[J]. Journal of Traffic and Transportation Engineering, 2025, 25(5): 208-219. doi: 10.19818/j.cnki.1671-1637.2025.05.014
shu

Reliability analysis of RC arch bridge during cantilever casting construction based on improved SO

doi: 10.19818/j.cnki.1671-1637.2025.05.014
  • 1.

    Key Laboratory of Bridge Engineering Safety Control, Ministy of Education, Changsha University of Science and Technology, Changsha 410114, Hunan, China

  • 2.

    School of Civil and Environmental Engineering, Changsha University of Science and Technology, Changsha 410114, Hunan, China

  • 3.

    Ganzhou Expressway Co., Ltd., Ganzhou, Jiangxi 341000, China

Funds:

National Natural Science Foundation of China 52078058

Science Research Project of Hunan Provincial Department of Education 22C0164

Open Fund Project of Key Laboratory of Bridge Engineering Safety Control, Ministry of Education, Changsha University of Science and Technology 21KB11

Young Teachers Growth Plan Project of Changsha University of Science and Technology 2019QJCZ062

Science and Technology Project of Jiangxi Provincial Department of Transport 2023C0009

More Information
  • Corresponding author: TIAN Zhong-chu (1963-), male, professor, PhD, tianzhongchu@163.com
  • Received Date: 2024-06-11
  • Accepted Date: 2024-12-16
  • Rev Recd Date: 2024-09-28
  • Publish Date: 2025-10-28
    Abstract
  • To improve the reliability calculation accuracy and efficiency of long-span reinforced concrete (RC) arch bridges during cantilever casting construction, a reliability analysis method based on an improved snake optimizer (SO) was proposed. In order to improve the optimization performance of the standard SO, Tent chaotic mapping was introduced to generate the initial population. Gaussian difference variation was performed on the optimal snake individuals in the iterative process, and the effectiveness of the improved algorithm was verified by common test functions. A C80 concrete strength development model with time was established based on the experimental data and existing studies. The design sample points of each random variable were generated by the Latin hypervertical method, and the target response values at the corresponding sample points were solved based on the finite element model. On this basis, the optimal response surface between the design sample points and the target response values was constructed by using the improved SO to optimize the parameters of the support vector machine (SVM), and the reliability analysis model of the RC arch bridge during cantilever casting construction was established by combining the response surface with the Monte Carlo (MC) method. The reliability of two typical failure modes during the whole construction of a real bridge was calculated by using the method proposed in this paper, and the sensitivity of the parameters was analyzed. Analysis results show that the improved SO has obvious advantages over the comparison algorithm. In a case study of a certain actual bridge during cantilever casting construction, it has enhanced the prediction accuracy of the main arch ring stress to 0.994 5 and that of the stay cable stress to 0.986 2, thereby enhancing the precision of reliability analysis for cantilever-cast RC arch bridges during construction. In the cantilever casting construction of long-span RC arch bridges, the initial tension of temporary cables, elastic modulus, and unit weight of the main arch ring are identified as the most significant stochastic variables affecting stress reliability. In contrast, the elastic modulus and unit weight of the cable tower and temporary cables are insensitive factors.

     

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