A tunnel surrounding rock collapse prediction and identification method and medium

Abstract

The disclosed embodiment provides a method and medium for predicting and identifying tunnel surrounding rock collapse, which belongs to the field of data processing technology and specifically includes: obtaining measured point cloud data of the surrounding rock in the target tunnel section; calculating N offset values ​​of each basic unit in the target tunnel section based on the real surrounding rock contour surface and the standard surrounding rock contour surface; calculating N deformation values ​​corresponding to the basic unit based on each offset value; based on the reference time series, using the gray prediction method to predict the predicted deformation value of the basic unit at N+1 times; based on the predicted deformation value, inverting the stress value of the basic unit according to the Moore-Coulomb criterion; combining the material strength theory of the surrounding rock to establish a comprehensive evaluation model for the stability state of the surrounding rock basic unit, and evaluate the stability of each basic unit; performing the above steps on all basic units to obtain the target tunnel section surrounding rock stability risk rating result. The disclosed solution improves the evaluation efficiency, accuracy and adaptability.

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