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Geomechanics and Engineering
  Volume 19, Number 1, September20 2019 , pages 93-104

Electrical resistivity tomography survey for prediction of anomaly in mechanized tunneling
Kang-Hyun Lee, Jin-Ho Park, Jeongjun Park, In-Mo Lee and Seok-Won Lee

    Anomalies and/or fractured grounds not detected by the surface geophysical and geological survey performed during design stage may cause significant problems during tunnel excavation. Many studies on prediction methods of the ground condition ahead of the tunnel face have been conducted and applied in tunneling construction sites, such as tunnel seismic profiling and probe drilling. However, most such applications have focused on the drill and blast tunneling method. Few studies have been conducted for mechanized tunneling because of the limitation in the available space to perform prediction tests. This study aims to predict the ground condition ahead of the tunnel face in TBM tunneling by using an electrical resistivity tomography survey. It compared the characteristics of each electrode array and performed an investigation on in-situ tunnel boring machine TBM construction site environments. Numerical simulations for each electrode array were performed, to determine the proper electrode array to predict anomalies ahead of the tunnel face. The results showed that the modified dipole–dipole array is, compared to other arrays, the best for predicting the location and condition of an anomaly. As the borehole becomes longer, the measured data increase accordingly. Therefore, longer boreholes allow a more accurate prediction of the location and status of anomalies and complex grounds.
Key Words
    electrical resistivity tomography; electrode array; prediction of anomaly; tunnel boring machine; tunnel face
Kang-Hyun Lee: esearch Institute, Korea Expressway Corporation, 208-96, Dongbu-daero 922beon-gil, Hwaseong-si, Gyeonggi-do, 18489 Korea

Jin-Ho Park and In-Mo Lee: School of Civil, Environmental and Architectural Engineering, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul, 02841, Korea

Jeongjun Park: Korea Railroad Research Institute, 176, Cheoldobangmulgwan-ro, Uiwang-si, Gyeonggi-do, 16105, Korea

Seok-Won Lee: Department of Civil and Environmental Engineering, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul 05029, Korea

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