| 隧道不良地质识别: 方法、现状及智能化发展方向 |
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| 关键词:adverse geology identification spectral test geochemical test while-drilling technology joint inversion |
| 基金项目:国家自然科学基金优秀青年科学基金项目(编号: 52022053);国家自然科学基金面上项目(编号: 52279103; 52379103) |
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| Adverse Geology Identification in Tunnel: Method, Research Status and Intelligent Development Direction |
| With the continuous improvement of the accuracy requirements for adverse geology identification in tunnel construction and the development of the artificial intelligence technology, the adverse geology intelligent identification with multi-source information has become a development trend. This study illustrated six common types of adverse geology in tunnels and their geological causes, review the main identification methods and current situation of adverse geology in tunnels, and introduce in detail the exploratory research on intelligent identification of adverse geology. Our research includes: (1) image identification technology is used to identify the lithology and fracture characteristics of tunnel surrounding rock intelligently; (2) image and spectral features fusion method is used to identify adverse geology; (3) geochemical analysis integrated into the traditional advanced drilling is used to identify adverse geology by integrating drilling parameters and geochemical information, which can not only give play to advantages of advanced drilling in perceiving changes of rock mass quality and stratum information, but also give play to advantages of geochemical analysis in identifying lithology and adverse geological anomaly; (4) the joint inversion of geology and geophysical exploration is used to identify the adverse geology, which aims to realize the accurate identification of the “shape” (position, shape, and scale) and “nature” (character and type) of unfavorable geological bodies in front of the working face. Finally, we prospect the development trend of intelligent identification of tunnel adverse geology. |
| XU Zhenhao,SHAO Ruiqi,LIN Peng,LI Shucai,XIANG Hang,HAN Tao,LI Shan.2024.Adverse Geology Identification in Tunnel: Method, Research Status and Intelligent Development Direction[J].Acta Geoscientica Sinica,(1):5-24. |
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