Risky Ground Prediction ahead of Mechanized Tunnel Face using Electrical Methods: Laboratory Tests

Jinho Park; Jinwoo Ryu; Hangseok Choi; In Mo Lee

doi:10.1007/s12205-018-1357-z

Risky Ground Prediction ahead of Mechanized Tunnel Face using Electrical Methods: Laboratory Tests

Jinho Park, Jinwoo Ryu, Hangseok Choi, In Mo Lee

Research output: Contribution to journal › Article › peer-review

13 Citations (Scopus)

Abstract

An accurate determination of the ground condition ahead of a tunnel face is key to stable excavation of tunnels using a Tunnel Boring Machine (TBM). This study verifies the effectiveness of using the Induced Polarization (IP) method along with electrical resistivity for identifying hazardous ground conditions ahead of a tunnel face. The advancement of the TBM toward a fault zone, seawater bearing zone, soil-to-rock transition zone, and mixed-ground zone is artificially modeled in laboratory-scale experiments. The IP and resistivity are assumed to be measured at the tunnel face, whenever the excavation is stopped to assemble one ring of a segmental lining. The measured IP showed completely different trends from the measured resistivity and varies with the type of hazardous zone. As the TBM approached the fault zone, transition zone, and mixed ground, the IP values were observed to be constant, increasing, and fluctuating, respectively. Therefore, a more reliable prediction of the ground condition ahead of a tunnel face can be achieved by using the IP and resistivity methods together. A table that can be used to predict the ground conditions based on the afore-mentioned methods is presented in this paper for use in mechanized tunneling job sites.

Original language	English
Pages (from-to)	3663-3675
Number of pages	13
Journal	KSCE Journal of Civil Engineering
Volume	22
Issue number	9
DOIs	https://doi.org/10.1007/s12205-018-1357-z
Publication status	Published - 2018 Sept 1

Bibliographical note

Funding Information:
This research was supported by a grant (Project number: 13SCIP-B066321-01 (Development of Key Subsea Tunneling Technology)) from the Infrastructure and Transportation Technology Promotion Research Program funded by the Ministry of Land, Infrastructure and Transport of the Korean government. The corresponding author thanks Korea University for granting him sabbatical leave in order to concentrate on this research.

Publisher Copyright:
© 2018, Korean Society of Civil Engineers and Springer-Verlag GmbH Germany, part of Springer Nature.

Keywords

electrical resistivity
ground condition
induced polarization
tunnel boring machine
tunnel face

ASJC Scopus subject areas

Civil and Structural Engineering

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10.1007/s12205-018-1357-z

Cite this

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title = "Risky Ground Prediction ahead of Mechanized Tunnel Face using Electrical Methods: Laboratory Tests",

abstract = "An accurate determination of the ground condition ahead of a tunnel face is key to stable excavation of tunnels using a Tunnel Boring Machine (TBM). This study verifies the effectiveness of using the Induced Polarization (IP) method along with electrical resistivity for identifying hazardous ground conditions ahead of a tunnel face. The advancement of the TBM toward a fault zone, seawater bearing zone, soil-to-rock transition zone, and mixed-ground zone is artificially modeled in laboratory-scale experiments. The IP and resistivity are assumed to be measured at the tunnel face, whenever the excavation is stopped to assemble one ring of a segmental lining. The measured IP showed completely different trends from the measured resistivity and varies with the type of hazardous zone. As the TBM approached the fault zone, transition zone, and mixed ground, the IP values were observed to be constant, increasing, and fluctuating, respectively. Therefore, a more reliable prediction of the ground condition ahead of a tunnel face can be achieved by using the IP and resistivity methods together. A table that can be used to predict the ground conditions based on the afore-mentioned methods is presented in this paper for use in mechanized tunneling job sites.",

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author = "Jinho Park and Jinwoo Ryu and Hangseok Choi and Lee, {In Mo}",

note = "Funding Information: This research was supported by a grant (Project number: 13SCIP-B066321-01 (Development of Key Subsea Tunneling Technology)) from the Infrastructure and Transportation Technology Promotion Research Program funded by the Ministry of Land, Infrastructure and Transport of the Korean government. The corresponding author thanks Korea University for granting him sabbatical leave in order to concentrate on this research. Publisher Copyright: {\textcopyright} 2018, Korean Society of Civil Engineers and Springer-Verlag GmbH Germany, part of Springer Nature.",

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N2 - An accurate determination of the ground condition ahead of a tunnel face is key to stable excavation of tunnels using a Tunnel Boring Machine (TBM). This study verifies the effectiveness of using the Induced Polarization (IP) method along with electrical resistivity for identifying hazardous ground conditions ahead of a tunnel face. The advancement of the TBM toward a fault zone, seawater bearing zone, soil-to-rock transition zone, and mixed-ground zone is artificially modeled in laboratory-scale experiments. The IP and resistivity are assumed to be measured at the tunnel face, whenever the excavation is stopped to assemble one ring of a segmental lining. The measured IP showed completely different trends from the measured resistivity and varies with the type of hazardous zone. As the TBM approached the fault zone, transition zone, and mixed ground, the IP values were observed to be constant, increasing, and fluctuating, respectively. Therefore, a more reliable prediction of the ground condition ahead of a tunnel face can be achieved by using the IP and resistivity methods together. A table that can be used to predict the ground conditions based on the afore-mentioned methods is presented in this paper for use in mechanized tunneling job sites.

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Risky Ground Prediction ahead of Mechanized Tunnel Face using Electrical Methods: Laboratory Tests

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Keywords

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