Exploring the deformation features and control techniques for surrounding rock of slate section tunnel

Abstract

To improve the safety of tunnel engineering, this study explores the mechanical deformation features and the support parameters of the tunnel. First, the uniaxial and triaxial compression tests are applied to study the mechanical features of slate under dry conditions and different water-containing conditions. Under different construction methods, the relationship between surrounding rock deformation and the time is analyzed. Second, the support vector machine (SVM) algorithm and particle swarm optimization (PSO) algorithm to predict the deformation trend of the surrounding rock of the slate section tunnel. Finally, for the stability control of the surrounding rock of the tunnel and the safety of the supporting structure, the convergence-constraint method is utilized for the deformation control of the surrounding rock of the slate section tunnel. The results show that the uniaxial and triaxial compression tests obtain that the compressive strength of slate will decrease with the increase of the water content of the rock mass. The use of the SVM algorithm combined with the PSO algorithm can improve the rate and accuracy of surrounding rock deformation prediction. The relationship between the surrounding rock features and the support features under different support structures is obtained. It is found that the surrounding rock supporting structure is optimal when the primary support is 75%, the thickness of the shotcrete is 35 cm, the thickness of the second lining is 96%, and the thickness of the second lining is 50 cm. By using these methods, the prediction performance of surrounding rock deformation features is improved, and the proposed surrounding rock deformation control techniques improve the safety of tunnel engineering.