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The Application of Tunnel Reflection Tomography in Tunnel Geological Advanced Prediction Based on Regression Analysis



Jun Li1, *, Zong-lin Wang2
1 Transportation Science and Engineering College of Harbin Institute of Technology, 150090, Harbin; China
2 The Heilongjiang Institute of Technology of Profession of Building Construction Engineering Institute of Technology, 150050, Harbin China


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© 2015 Li and Wang

open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.



Abstract

In the tunnel construction, due to the limitation of the survey and design and the complex dynamics of tunnel surrounding rock geological conditions, so it is difficult for complex geology with the microscopic accurate grasp, often which caused by geological exploration data do not tally with the actual situation, often encountered in karst water inrush, large deformation in weak rock, cave-in subsidence, geological hazards, such as gas outburst, rock burst cause person casualties, delays, in order to minimize geological disaster influence degree, advanced geological prediction before construction is very necessary. Using regression analysis, based on engineering vault subsidence and horizontal convergence has carried on the regression analysis, research results can be reference for related engineering design and construction. Detailed introduces the principle, methods and outstanding characteristic of tunnel reflection tomography advanced prediction system, and take Jianfengling mountain tunnel of Darui line railway as an example, the prediction results are analyzed in detailed processing, and on-site validation, finally points out the problem for further study the technology.

Keywords: Fault fracture zone, geological advanced prediction, tunnel construction, tunnel reflection tomography.



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