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The study aims to address some prominent problems of the existing classification methods of roadway surrounding rock, such as poor adaptability and applicability. For this purpose, using geomechanical information coupling with the three-dimensional (3D) geological modeling technology, a 3D classification and zoning method of surrounding rock is proposed on the basis of the big data geomechanical information database. This method can realize advanced prediction and evaluation analysis of rock mass quality in unexposed areas. The method first establishes an acquisition workflow of the big data geomechanical information based on the rock mass rating (RMR) and then forms a statistics technology of the big data geomechanical information and database sample based on borehole core data. Finally, it realizes the assignment of RMR for the unexposed areas by combining the 3D evaluation technology of 3DMine software and the supplemented information obtained from onsite geological survey. The 3D classification and zoning method is applied to the Jiama mine and compared with quality statistics obtained from an onsite survey. The results from the proposed model based on the borehole core database statistics are consistent with the onsite survey results. This indicates that the proposed method has excellent feasibility and applicability to solve some of the problems with the existing methods. In addition, the 3D classification and zoning method realizes extra mechanical application for borehole cores except for geological exploration and improves the application extent of borehole cores from multiple angles.

Three-dimensional classification and zoning method of surrounding rock and its application based on big data geomechanical information