Disturbance mechanism analysis of pipe jacking crossing existing subway tunnel based on BPNN parameter inversion

Shuai Tao; Jun-bo Zhang; Xi-bing Han; Jian-qiang Yu; Ling-zhi Xi; Shu-yi Li

doi:10.1117/12.2686267

28 July 2023 Disturbance mechanism analysis of pipe jacking crossing existing subway tunnel based on BPNN parameter inversion

Shuai Tao, Jun-bo Zhang, Xi-bing Han, Jian-qiang Yu, Ling-zhi Xi, Shu-yi Li

Author Affiliations +

Proceedings Volume 12756, 3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023); 127562W (2023) https://doi.org/10.1117/12.2686267
Event: 2023 3rd International Conference on Applied Mathematics, Modelling and Intelligent Computing (CAMMIC 2023), 2023, Tangshan, China

Abstract

Aiming at the development and utilization of underground space in soft soil area, in order to study the influence law of pipe jacking construction on the deformation disturbance of existing subway tunnel in soft soil area, the numerical simulation method combined with field monitoring data and machine learning algorithm was used to simulate and analyze the deformation disturbance law of existing subway tunnel during pipe jacking construction. The results show that the HSS model can better simulate the influence of excavation disturbance on the vertical displacement of the tunnel measuring point. Only when the pipe jacking is out of the hole, the vertical displacement of the measuring point fluctuates greatly, while the deformation of the jacking process is relatively stable. The maximum vertical settlement of the measuring point of the downward tunnel is about 11.3 mm, and the minimum is about 6.81 mm. The maximum vertical displacement of the measuring point of the ascending tunnel is about 17.4mm, and the minimum is about 12.7mm

Citation Download Citation

Shuai Tao, Jun-bo Zhang, Xi-bing Han, Jian-qiang Yu, Ling-zhi Xi, and Shu-yi Li "Disturbance mechanism analysis of pipe jacking crossing existing subway tunnel based on BPNN parameter inversion", Proc. SPIE 12756, 3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023), 127562W (28 July 2023); https://doi.org/10.1117/12.2686267

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KEYWORDS

Pipes

Deformation

Data modeling

Elasticity

Neural networks

Neurons

Numerical simulations

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