TY - GEN
T1 - Numerical study on electrical resistivity tomography for prediction of anomaly in mechanized tunnelling job-sites
AU - Lee, Kang Hyun
AU - Lee, In Mo
N1 - Funding Information:
The author expresses their appreciation to my advisor, Dr. Nag-Young Kim. The support throughout the study was invaluable. This research was supported by a grant (Project number: 13SCIP-B066321-01 (Development of Key Subsea Tunnelling Technology)) from Infrastructure and Transportation Technology Promotion Research Program funded by Ministry of Land, Infrastructure and Transport of Korean government.
Publisher Copyright:
© 2016 Taylor & Francis Group, London.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2016
Y1 - 2016
N2 - Anomalies, mixed grounds and fractured zones which are not detected by the geotechnical investigation performed during the design stage may cause difficulty when a tunnel is excavated. So, it is important to predict the ground condition ahead of a tunnel face during tunnelling to avoid accidents. Various methods to predict the ground condition ahead of the tunnel face have been studied and developed. The prediction methods such as tunnel seismic profiling, ground penetration radar, probe drilling frequently used at conventional tunnelling job sites. However, few studies applicable to mechanized tunnellingare tried because of the limitation of available spaces in Tunnel Boring Machine (TBM). So, this study proposes a prediction method applicable to mechanized tunnelling using the pre-drilled borehole. Numerical simulations were performed to adopt the most suitable electrode array for prediction of anomaly ahead of the tunnel face when electrical resistivity tomography is performed at mechanized tunneling job-sites. The pole-dipole and modified dipole-dipole array was found to be able to predict the location and condition of an anomaly reasonably well. A remote electrode is always needed to use the pole-dipole array, but it is very difficult to find an appropriate place to install a remote electrode. Accordingly, the modified dipole-dipole array does not need a remote electrode that is the most suitable one to be used for mechanized tunnelling job sites.
AB - Anomalies, mixed grounds and fractured zones which are not detected by the geotechnical investigation performed during the design stage may cause difficulty when a tunnel is excavated. So, it is important to predict the ground condition ahead of a tunnel face during tunnelling to avoid accidents. Various methods to predict the ground condition ahead of the tunnel face have been studied and developed. The prediction methods such as tunnel seismic profiling, ground penetration radar, probe drilling frequently used at conventional tunnelling job sites. However, few studies applicable to mechanized tunnellingare tried because of the limitation of available spaces in Tunnel Boring Machine (TBM). So, this study proposes a prediction method applicable to mechanized tunnelling using the pre-drilled borehole. Numerical simulations were performed to adopt the most suitable electrode array for prediction of anomaly ahead of the tunnel face when electrical resistivity tomography is performed at mechanized tunneling job-sites. The pole-dipole and modified dipole-dipole array was found to be able to predict the location and condition of an anomaly reasonably well. A remote electrode is always needed to use the pole-dipole array, but it is very difficult to find an appropriate place to install a remote electrode. Accordingly, the modified dipole-dipole array does not need a remote electrode that is the most suitable one to be used for mechanized tunnelling job sites.
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M3 - Conference contribution
AN - SCOPUS:85016201540
SN - 9781138030077
T3 - Challenges and Innovations in Geotechnics - Proceedings of the 8th Asian Young Geotechnical Engineers Conference, 8AYGEC 2016
SP - 227
EP - 231
BT - Challenges and Innovations in Geotechnics - Proceedings of the 8th Asian Young Geotechnical Engineers Conference, 8AYGEC 2016
A2 - Zhussupbekov, Askar
PB - CRC Press/Balkema
T2 - 8th Asian Young Geotechnical Engineers Conference, 8AYGEC 2016
Y2 - 5 August 2016 through 7 August 2016
ER -