Advanced Geological Prediction Technology Based on Tunnel Face Borehole Drilling

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Abstract In the process of drilling, the drilling tool contacts with the rock and soil directly. The response information of the drilling tool reflects the mechanical properties of the rock and soil comprehensively. A large amount of geological data hidden in the response information of the drilling tool can be used to analyze and determine the mechanical parameters and spatial distribution of the rock and soil, thus providing an important reference index for the identification of the formation interface and the classification of the surrounding rock. At present, the response information of drilling tools in the field of geotechnical engineering has not been collected, resulting in a great waste of data resources. To make full use of the relevant parameter information in tunnel blasthole drilling, the relationship between the parameters and the quality of surrounding rock is collected and established, and in combination with the geological situation of the face, the level of surrounding rock in front of the face is predicted. The tunnel of Sandu high-speed rail in Guizhou Province is used to conduct research on advance geological prediction technology based on borehole drilling of tunnel face, and the following results are obtained. The drillability of rock is directly related to drilling speed V, vibration acceleration a, and vibration frequency f. Theoretical research on short-distance geological prediction of borehole drilling in tunnel face is completed on this basis. A set of while-drilling monitoring equipment is developed and applied to pneumatic rock drill. While-drilling equipment can collect the real-time data of drilling speed V and vibration acceleration a of the drilling machine. The data is collected based on the analysis of drilling rate V and vibration acceleration a. The quantitative relationship between rock mass level and drilling information is established. Through application in supporting engineering, a standard database of rock antidrilling coefficient of different levels of surrounding rock based on the rock type of quartz sandstone is preliminarily established. This database is better than the geological report of the excavation site.

Key words： tunnel engineering advanced geological prediction tunnel face borehole drilling rock drill

Received: 04 December 2019

Fund:Supported by the Science and Technology Project of Guizhou Transportation Department(No.2017-123-034)

Corresponding Authors: JI Tong-xu E-mail: 194501245@163.com

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	JI Tong-xu
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	TIAN Hu-nan

Cite this article:

JI Tong-xu,QU Zhu,TIAN Hu-nan. Advanced Geological Prediction Technology Based on Tunnel Face Borehole Drilling[J]. Journal of Highway and Transportation Research and Development, 2020, 14(3): 78-85.

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http://journal10.magtechjournal.com/Jwk_gljtkj_en/EN/ OR http://journal10.magtechjournal.com/Jwk_gljtkj_en/EN/Y2020/V14/I3/78

[1] MAO Zheng-jun,NI Wan-kui,FU Xiao-gang. Review on Advanced Geological Hazards Prediction of Tunnel[J]. The Chinese Journal of Geological Hazard and Control,2007,18(4):79-81,87. (in Chinese)
[2] OUYANG Gang-jie. Summary of Tunnel Leading Geology Forecast[J]. Technological Development of Enterprise,2009,28(1):28-30. (in Chinese)
[3] ZHANG Cun-liang. Study on Method and Application of Advanced Geological Forecast in Tunnel[D].Xi'an:Xi'an University of Science and Technology,2011. (in Chinese)
[4] QU Hai-feng,LIU Zhi-gang,ZHU He-hua. Technique of Synthetic Geologic Prediction Ahead in Tunnel Informational Construction[J]. Chinese Journal of Rock Mechanics and Engineering,2006,25(6):1246-1251. (in Chinese)
[5] LI Shu-cai,LIU Bin,SUN Huai-feng,et al. State of Art and Trends of Advanced Geological Prediction in Tunnel Construction[J].Chinese Journal of Rock Mechanics and Engineering,2014,33(6):1090-1113. (in Chinese)
[6] LI Tian-bin,MENG Lu-bo,ZHU Jin, et al. Comprehensive Analysis Method for Advanced Forecast of Geology in Tunnels[J].Chinese Journal of Rock Mechanics and Engineering,2009,28(12):2429-2436. (in Chinese)
[7] LEI Jian-qiang,DING Zhang-fang. Current Status of and Suggestion on Monitoring and Measurement and Advance Geological Prediction Technology for Highway Tunnel Construction[J].Modern Tunnelling Technology,2013,50(6):32-38. (in Chinese)
[8] ZHANG Xiao. Advanced Forecast and Research of Integrated System of Karst in Qiyueshan Tunnel[D]. Beijing:Beijing Jiaotong University,2008. (in Chinese)
[9] LIU Hou-xiang,ZHA Huan-yi,QIAN Cheng, et al. A Method for Classifying Surrounding Rock of Highway Tunnel Based on Quantization of Tunnel Face Structure[J].Journal of Highway and Transportation Research and Development,2019,36(7):90-97. (in Chinese)[ZK)]
[10] YE Ying. A Review on Tunnel Construction Ahead Geological Prediction Technology[J].Municipal Engineering Technology,2012,30(5):19-23. (in Chinese)
[11] GE Yan-hui,LI Shu-cai,ZHANG Qing-song,et al. Comprehensive Geological Prediction Based on Risk Evaluation during Tunneling in Karst Area[J].Chinese Journal of Geotechnical Engineering,2010,32(7):1124-1130. (in Chinese)
[12] WANG Xiao-rui,WANG Yuan-han,ZHANG Shi-hai. Study on Synthetic Judge System of Fuzzy Reasoning Applied to Intellectual Classification of Tunnel Surrounding Rock[J].Journal of Highway and Transportation Research and Development,2009,36(3):100-104. (in Chinese)
[13] YAN Hong-liang,SHI Wen-long,LI Lin. Research on the Status and Future of the MWD Data Transmission[J].Journal of Chongqing University of Science and Technology:Natural Sciences Edition,2015,17(6):69-72,83. (in Chinese)
[14] SU Yong-hua,MA Ning,HU Jian. Classification of Tunnel Surrounding Rock Based on Small Sample Statistical Theory[J]. Journal of Highway and Transportation Research and Development,2010,27(8):66-69,80. (in Chinese)
[15] HU Xiao-lin,HUANG Lin-sen,WANG Qing-feng. Study on Measurement While Drilling Technology Application in Coal Mine Underground[J]. Mining and Metallurgy,2012,21(4):89-92. (in Chinese)
[16] CAO Jun,SHEN Zhi-kang,HU Yong-le,et al. Theoretic Analysis of Specific Power of Broken Hard Rock by Impact Action and Its Fuzzy Prediction Model[J].Rock and Soil Mechanics,2012,33(S2):145-149. (in Chinese)
[17] TAN Zhuo-ying,YUE Zhong-qi,CAI Mei-feng. Analysis of Energy for Rotary Drilling in Weathered Granite Formation[J].Chinese Journal of Rock Mechanics and Engineering,2007,27(3):478-483. (in Chinese)
[18] TIAN Hao,LI Shu-cai,XUE Yi-guo,et al. Identification of Interface of Tuff Stratum and Classfication of Surrounding Rock of Tunnel Using Drilling Energy Theory[J].Rock and Soil Mechanics,2012,33(8):2457-2464. (in Chinese)