Numerical simulation research on influence of foundation pit excavation with soil nailing wall on the adjacent cable tunnel

Baoan Liu; Junguo Feng; Yuze Zhang; Xianmin Han

doi:10.1117/12.2627885

11 March 2022 Numerical simulation research on influence of foundation pit excavation with soil nailing wall on the adjacent cable tunnel

Baoan Liu, Junguo Feng, Yuze Zhang, Xianmin Han

Author Affiliations +

Proceedings Volume 12160, International Conference on Computational Modeling, Simulation, and Data Analysis (CMSDA 2021); 121601C (2022) https://doi.org/10.1117/12.2627885
Event: International Conference on Computational Modeling, Simulation, and Data Analysis (CMSDA 2021), 2021, Sanya, China

Abstract

This paper focuses on the construction influence of the foundation pit on the adjacent existing cable tunnel. And the retaining structure of the pit is soil nailing wall. Three-dimensional finite difference method is used to simulate the influence of the foundation pit excavation on the tunnel. And many influence factors are considered in analyzing disturbing deformation and safety of the tunnel, such as pit depth, spacing between pit and tunnel, and buried depth of the tunnel. The calculation results show that the horizontal displacement is the dominant deformation on the slope stability for the foundation pit with soil nailing wall. With the increase of the pit depth, the safety of tunnel structure is non-linearly weakened. While the spacing between pit and tunnel became large, the tunnel safety increases nonlinearly. But the safety of the tunnel increases firstly and then decreases with the increase of the tunnel buried depth. The research results can provide reference for the protection of the existing cable tunnels while adjacent foundation pit construction.

Citation Download Citation

Baoan Liu, Junguo Feng, Yuze Zhang, and Xianmin Han "Numerical simulation research on influence of foundation pit excavation with soil nailing wall on the adjacent cable tunnel", Proc. SPIE 12160, International Conference on Computational Modeling, Simulation, and Data Analysis (CMSDA 2021), 121601C (11 March 2022); https://doi.org/10.1117/12.2627885

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