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Corresponding Author

傅鹤林，男，博士，教授.E-mail：[email protected]

Abstract

Accurate and rapid classification of surrounding rock during tunnel construction plays a critical role in selecting support parameters. The tunnel face was taken as the research object, and an intelligent classification method was proposed by integrating deep learning and digital image processing technologies to realize intelligent and integrated operation of tunnel surrounding rock classification and support design. Combined with BIM technology, an automatic tunnel support generation system was developed to automatically generate support design drawings according to corresponding support parameters. Tunnel face images were preprocessed using Python to construct a deep learning dataset. The YOLOv 8 convolutional neural network model and image processing techniques were utilized to accurately identify and locate joints and fractures on the tunnel face, obtain the integrity index of the tunnel face, and compute the fracture ratio (Ks) and integrity coefficient (Kv). Combined with the modified basic quality (BQ) index method of rock mass, a rapid and accurate classification system for surrounding rock during tunnel construction was established. The results show that the prediction accuracy of surrounding rock grades by the proposed method reaches 87.37%, which agrees well with the actual surrounding rock grade in the field and can satisfy practical engineering requirements. On this basis, Revit and Dynamo were employed to perform parametric modeling of tunnels with various surrounding rock grades. Additionally, a GUI module was implemented to develop an automatic program for generating tunnel surrounding rock support parameters. Support design drawings corresponding to each surrounding rock grade were automatically generated based on the relationship between surrounding rock and support parameters, thus achieving intelligent integration of surrounding rock classification and support design. The research findings provide a reference for dynamic surrounding rock classification and support scheme formulation during tunnel construction.

Publication Date

10-29-2026

DOI

10.14048/j.issn.1671-2579.2026.05.025

First Page

238

Last Page

247

Submission Date

October 2026

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