Electrical resistivity tomography survey for prediction of anomaly inmechanized tunneling

Kang Hyun Lee, Jin Ho Park, Jeongjun Park, In Mo Lee, Seok Won Lee

Research output: Contribution to journalArticle

Abstract

Anomalies and/or fractured grounds not detected by the surface geophysical and geological survey performedduring design stage may cause significant problems during tunnel excavation. Many studies on prediction methods of the groundcondition ahead of the tunnel face have been conducted and applied in tunneling construction sites, such as tunnel seismicprofiling and probe drilling. However, most such applications have focused on the drill and blast tunneling method. Few studieshave been conducted for mechanized tunneling because of the limitation in the available space to perform prediction tests. Thisstudy aims to predict the ground condition ahead of the tunnel face in TBM tunneling by using an electrical resistivitytomography survey. It compared the characteristics of each electrode array and performed an investigation on in-situ tunnelboring machine TBM construction site environments. Numerical simulations for each electrode array were performed, todetermine 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 boreholebecomes longer, the measured data increase accordingly. Therefore, longer boreholes allow a more accurate prediction of thelocation and status of anomalies and complex grounds.

Original languageEnglish
Pages (from-to)93-104
Number of pages12
JournalGeomechanics and Engineering
Volume19
Issue number1
DOIs
Publication statusPublished - 2019 Jan 1

Fingerprint

tomography
Tomography
electrical resistivity
Tunnels
tunnel
anomaly
prediction
electrode
TBM
Electrodes
Tunneling (excavation)
drill and blast
survey design
Geological surveys
ground conditions
geophysical survey
Boreholes
Excavation
geological survey
Drilling

Keywords

  • Electrical resistivity tomography
  • Electrode array
  • Prediction of anomaly
  • Tunnel boring machine
  • Tunnel face

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Geotechnical Engineering and Engineering Geology

Cite this

Electrical resistivity tomography survey for prediction of anomaly inmechanized tunneling. / Lee, Kang Hyun; Park, Jin Ho; Park, Jeongjun; Lee, In Mo; Lee, Seok Won.

In: Geomechanics and Engineering, Vol. 19, No. 1, 01.01.2019, p. 93-104.

Research output: Contribution to journalArticle

Lee, Kang Hyun ; Park, Jin Ho ; Park, Jeongjun ; Lee, In Mo ; Lee, Seok Won. / Electrical resistivity tomography survey for prediction of anomaly inmechanized tunneling. In: Geomechanics and Engineering. 2019 ; Vol. 19, No. 1. pp. 93-104.
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