Stability of surrounding rock in broken zone of the tunnel in rich water and mountains.

During the excavation of tunnels, many hazards caused by the fracture zone and groundwater seepage are often encountered. Studying the surrounding rock’s stability in the fracture zone of the mountain’s water-rich tunnels is thus crucial. The rock mass’s seepage and stress fields were studied by using the seepage theory of rock mass and Darcy’s rule in the experiment, and a hydraulic coupling model of porous continuum was constructed according to the coupling relationship between them. After that, the experiment used FLAC3D software to conduct three-dimensional numerical analysis of the tunnel, and analyzed the surrounding rock’s stability under different conditions. The findings demonstrate that the model’s error rate is just 0.16% and that the surrounding rock’s stability is influenced by the excavation plan, main support, and grade of the surrounding rock. Therefore, the model considers various factors for tunnel excavation and can be applied to the prediction of actual mountain tunnel construction. During the excavation of tunnels, many hazards caused by the fracture zone and groundwater seepage are often encountered. Studying the surrounding rock’s stability in the fracture zone of the mountain’s water-rich tunnels is thus crucial. The rock mass’s seepage and stress fields were studied by using the seepage theory of rock mass and Darcy’s rule in the experiment, and a hydraulic coupling model of porous continuum was constructed according to the coupling relationship between them. After that, the experiment used FLAC3D software to conduct three-dimensional numerical analysis of the tunnel, and analyzed the surrounding rock’s stability under different conditions. The findings demonstrate that the model’s error rate is just 0.16% and that the surrounding rock’s stability is influenced by the excavation plan, main support, and grade of the surrounding rock. Therefore, the model considers various factors for tunnel excavation and can be applied to the prediction of actual mountain tunnel construction. [ABSTRACT FROM AUTHOR]