Application of the comprehensive forecast system for water-bearing structures in a karst tunnel: a case study

被引:40
作者
Bu, Lin [1 ]
Li, Shucai [1 ]
Shi, Shaoshuai [1 ,2 ]
Li, Lipin [1 ]
Zhao, Yong [3 ]
Zhou, Zongqing [1 ]
Nie, Lichao [1 ]
Sun, Huaifeng [1 ]
机构
[1] Shandong Univ, Geotech & Struct Engn Res Ctr, Jinan 250061, Shandong, Peoples R China
[2] China Univ Min & Technol, State Key Lab Geomech & Deep Underground Engn, Xuzhou 221116, Jiangsu, Peoples R China
[3] Minist Railways, Project Design & Approval Ctr, Beijing 100844, Peoples R China
基金
中国国家自然科学基金;
关键词
Karst tunnel; Water-bearing structures; Comprehensive prospecting system for water-bearing structures; Curtain grouting method; GROUND-PENETRATING RADAR; INDUCED POLARIZATION; GEOLOGICAL HAZARDS; EXPLORATION; PREDICTION; INVERSION; EXAMPLES; INRUSH; SCALE; GPR;
D O I
10.1007/s10064-017-1114-4
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
While tunneling in karst terrains, engineers may encounter unpredictable well-developed karst conduits, which frequently lead to water inrush accidents. Geological processes significantly affect the varieties and characteristics of water-bearing structures. Therefore, a comprehensive system for water-bearing structure prediction is first put forward, and then the geological and hydrogeological engineering conditions of the Yuelongmen tunnel in Southwest China are analyzed. To accurately predict the geometric characteristics of water-bearing structures and their spatial relationship with the tunnel face, the transient electromagnetic method (TEM) and ground-penetrating radar (GPR) were comprehensively applied. Then, the induced polarization method (IP) was utilized separately to detect the three-dimensional position and spatial distribution pattern of the water-rich area. According to the comprehensive forecast conclusion, targeted boreholes were drilled, which were selected to verify the water-bearing structure in the survey area. The drilling and detection results matched. Furthermore, the curtain grouting method was adopted for the treatment of the water-rich area. By establishing a comprehensive prediction technology system with the principle of from qualitative analysis to quantitative identification, from structure locating to the water-bearing structure discrimination, as well as from far and near, this comprehensive prediction system was successfully put into practice in the karst tunnel in Sichuan; it can play a guiding role in similar projects.
引用
收藏
页码:357 / 373
页数:17
相关论文
共 40 条
[1]   Geological engineering problems associated with tunnel construction in karst rock masses: The case of Gavarres tunnel (Spain) [J].
Alija, S. ;
Torrijo, F. J. ;
Quinta-Ferreira, M. .
ENGINEERING GEOLOGY, 2013, 157 :103-111
[2]   Prediction of geological hazardous zones in front of a tunnel face using TSP-203 and artificial neural networks [J].
Alimoradi, Andisheh ;
Moradzadeh, Ali ;
Naderi, Reza ;
Salehi, Mojtaba Zad ;
Etemadi, Afshin .
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY, 2008, 23 (06) :711-717
[3]   Geophysical exploration for a long deep tunnel to divert water from the Yangtze to the Yellow River, China [J].
An, Zhiguo ;
Di, Qingyun ;
Wu, Faquan ;
Wang, Guangjie ;
Wang, Ruo .
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT, 2012, 71 (01) :195-200
[4]  
[Anonymous], 1996, TUNNELS TUNNELING
[5]   Aquifer architecture analysis using ground-penetrating radar: Triassic and Quaternary examples (S Germany) [J].
Asprion, U ;
Aigner, T .
ENVIRONMENTAL GEOLOGY, 1997, 31 (1-2) :66-75
[7]   Hydropedological investigations with ground-penetrating radar (GPR): Estimating water-table depths and local ground-water flow pattern in areas of coarse-textured soils [J].
Doolittle, JA ;
Jenkinson, B ;
Hopkins, D ;
Ulmer, M ;
Tuttle, W .
GEODERMA, 2006, 131 (3-4) :317-329
[8]  
[高阳 GAO Yang], 2009, [山东大学学报. 工学版, Journal of Shandong University. Engineering Science], V39, P82
[9]   Non-invasive monitoring of water content and textural changes in clay-rocks using spectral induced polarization: A laboratory investigation [J].
Ghorbani, A. ;
Cosenza, Ph. ;
Revil, A. ;
Zamora, M. ;
Schmutz, M. ;
Florsch, N. ;
Jougnot, D. .
APPLIED CLAY SCIENCE, 2009, 43 (3-4) :493-502
[10]   Hydraulic conductivity estimation from induced polarisation data at the field scale -: the Krauthausen case history [J].
Hoerdt, Andreas ;
Blaschek, Roland ;
Kemna, Andreas ;
Zisser, Norbert .
JOURNAL OF APPLIED GEOPHYSICS, 2007, 62 (01) :33-46