4.4 Article

Assessment of electrical resistivity imaging for pre-tunneling geological characterization - A case study of the Qingdao R3 metro line tunnel

Journal

JOURNAL OF APPLIED GEOPHYSICS
Volume 153, Issue -, Pages 38-46

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.jappgeo.2018.03.024

Keywords

Tunnel face and borehole electrical resistivity imaging; Pre-tunneling geological characterization; Water body detection; Probe drilling; Tunnel construction

Funding

  1. National Program on Key Basic Research Project of China (973 Program) [2013CB036002, 2015CB058101, 2014CB046901]
  2. National Key Scientific Instrument and Equipment Development Project [51327802]
  3. National Natural Science Foundation of China [51479104, 41502279]
  4. National Key Research and Development Plan [2016YFC0401801, 2016YFC0401805]
  5. Key Research Plan of Shandong [2016GSF120001, 2016ZDJS02A01]
  6. Key Research Plan of Henan [161100211100]
  7. China Postdoctoral Science Foundation [2015M572038]
  8. Talent Introduction Fund of Shandong University [2015GN004]
  9. Qingdao Metro Co. Ltd.

Ask authors/readers for more resources

Water inrush during tunneling is a significant problem in the underground infrastructure construction. Electrical resistivity imaging (ERI) is a technique that can detect and characterize a water body in an open fracture or fault by exploiting the resistivity contrast that exists between the water body and the surrounding materials. ERI is an efficient method for pre-tunneling geological characterization. In this study, a case study is presented in which tunnel-face and borehole ERI (TBERI) is performed by using the probe hole to detect a water body during tunnel construction. The construction site is a metro line site, situated in the city of Qingdao, China. Unlike the traditional cross-hole observation mode, TBERI only use a single borehole. The installation of injection electrodes inside the probe hole and the installation of measuring electrodes on the tunnel face is proposed as the observation mode. Furthermore, a numerical simulation is carried out before the real field experiment, and the simulation results show that the TBERI is capable of detecting a deeply buried water body. In addition, the water body in the field case is also identified by TBERI. The water body appears as a strongly conductive anomaly relative to the background materials. This study highlights the respective strengths and weaknesses of the TBERI for pre-tunneling geological characterization. This method is a relatively rapid means of investigating the studied area This study clearly demonstrates the suitability of TBERI in a tunneling scenario. (C) 2018 Published by Elsevier B.V.

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