Geomechanics and Engineering

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Experimental verification for prediction method of anomaly ahead of tunnel face by using electrical resistivity tomography

  • Lee, Kang-Hyun (Research Institute, Korea Expressway Corporation) ;
  • Park, Jin-Ho (School of Civil, Environmental and Architectural Engineering, Korea University) ;
  • Park, Jeongjun (Korea Railroad Research Institute) ;
  • Lee, In-Mo (School of Civil, Environmental and Architectural Engineering, Korea University) ;
  • Lee, Seok-Won (Division of Civil and Environmental Engineering, Konkuk University)
  • Received : 2018.04.04
  • Accepted : 2020.02.17
  • Published : 2020.03.25
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Abstract

The prediction of the ground conditions ahead of a tunnel face is very important, especially for tunnel boring machine (TBM) tunneling, because encountering unexpected anomalies during tunnel excavation can cause a considerable loss of time and money. Several prediction techniques, such as BEAM, TSP, and GPR, have been suggested. However, these methods have various shortcomings, such as low accuracy and low resolution. Most studies on electrical resistivity tomography surveys have been conducted using numerical simulation programs, but laboratory experiments were just a few. Furthermore, most studies of scaled model tests on electrical resistivity tomography were conducted only on the ground surface, which is a different environment as compared to that of mechanized tunneling. This study performed a laboratory experimental test to extend and verify a prediction method proposed by Lee et al., which used electrical resistivity tomography to predict the ground conditions ahead of a tunnel face in TBM tunneling environments. The results showed that the modified dipole-dipole array is better than the other arrays in terms of predicting the location and shape of the anomalies ahead of the tunnel face. Having longer upper and lower borehole lengths led to better accuracy of the survey. However, the number and length of boreholes should be properly controlled according to the field environments in practice. Finally, a modified and verified technique to predict the ground conditions ahead of a tunnel face during TBM tunneling is proposed.

Keywords

Acknowledgement

Grant : Development of Key Subsea Tunnelling Technology

Supported by : Ministry of Land, Infrastructure, and Transport of the Korean government

This research was supported by a grant (Project number: 13SCIP-B066321-01 (Development of Key Subsea Tunnelling Technology) from the Infrastructure and Transportation Technology Promotion Research Program funded by the Ministry of Land, Infrastructure, and Transport of the Korean government.

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