Stability Evaluation of Tunnel Surrounding Rock Based on Data Mining

In this paper, based on data mining technology, we try to quickly determine the stability of the surrounding rock during the construction process through the construction section. Specifically, for the same tunnel, information on the surrounding rock revealed by the excavated section of the tunnel is collected and processed. Among the many factors affecting tunnel stability, parameters including body compressive strength, number of rock joints, rock quality index, and tunnel depth are selected as the most model input parameters, and the surrounding rock stability rating is taken as the output parameter. Gaussian process regression (GPR) and principal component analysis (PCA) methods were used to construct the model. The determination of the stability of the surrounding rock in the tunnel construction section was studied.