- ISSN 0258-2724
- CN 51-1277/U
- EI Compendex
- Scopus
- Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
- Chinese S&T Journal Citation Reports
- Chinese Science Citation Database
| Citation: | ZHU Qing, JIANG Zhaoyi, WU Haoyu, DING Yulin, WANG Qiang, ZHENG Weipeng. Voxel-Based Multi-Feature Fusion Modeling Method for Fractured Surrounding Rock in Tunnels[J]. Journal of Southwest Jiaotong University. doi: 10.3969/j.issn.0258-2724.20250079
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Fractured surrounding rock zones encountered during tunnel construction can easily trigger geological hazards such as collapses, roof falls, water inrushes, and mudbursts. To comprehensively improve the accuracy and efficiency of dynamic optimization design and multi-field coupled risk analysis, a modeling method for fractured surrounding rock integrating multi-source short-range advanced geological forecasting data was proposed. Firstly, a machine learning algorithm was employed to accurately extract the feature information of fractured surrounding rock from tunnel face images and ground-penetrating radar images. Secondly, the geometric and semantic features of the two types of data were registered and fused within a unified spatiotemporal reference framework to generate a unified semantic point set. Finally, a dense voxel grid was constructed, and the semantic point sets within the neighborhood of each voxel were traversed to build a three-dimensional fractured surrounding rock voxel model using the inverse distance weighting interpolation algorithm. A typical long and deep-buried tunnel was selected as a case to conduct experimental evaluation, and the voxel model and registered deepened blast hole data were subjected to voxelization processing and attribute alignment comparative analysis. The results indicate that the average classification accuracy of the constructed voxel model is 83.31% in fractured risk zones and 82.89% in non-risk zones; the model demonstrates high consistency with the blast hole data in terms of spatiotemporal distribution at the voxel scale, effectively characterizing the spatiotemporal evolution characteristics of the fractured surrounding rock during the dynamic excavation process.
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