Bayesian Networks-based Shield TBM Risk Management System: Methodology Development and Application

Heeyoung Chung; In Mo Lee; Jee Hee Jung; Jeongjun Park

doi:10.1007/s12205-018-0912-y

Bayesian Networks-based Shield TBM Risk Management System: Methodology Development and Application

Heeyoung Chung, In Mo Lee, Jee Hee Jung, Jeongjun Park

School of Civil, Environmental and Architectural Engineering

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

11 Citations (Scopus)

Abstract

A risk management methodology that can be applicable to a shield Tunnel Boring Machine (TBM) tunneling project is proposed in this paper. A Shield TBM Risk Analysis Model (STRAM) is developed based on Bayesian networks. STRAM considers geological risk factors and TBM types, such as Earth Pressure Balance (EPB) open mode, EPB closed mode, and slurry TBMs, and systematically identifies the potential risk events that may occur during tunnel construction. It can also quantitatively evaluate the degree of risk for the identified potential risk events by estimating the cost of countermeasures against event occurrence. The proposed methodology based on STRAM can minimize the drawbacks of the TBM tunneling method, including difficulty in substituting the machine type once it is selected and excessive delay of the project due to unexpected risk events.

Original language	English
Pages (from-to)	452-465
Number of pages	14
Journal	KSCE Journal of Civil Engineering
Volume	23
Issue number	1
DOIs	https://doi.org/10.1007/s12205-018-0912-y
Publication status	Published - 2019 Jan 1

Keywords

Bayesian networks
Shield Tunnel Boring Machine (TBM)
degree of risk
risk analysis model
risk management methodology

ASJC Scopus subject areas

Civil and Structural Engineering

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10.1007/s12205-018-0912-y

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title = "Bayesian Networks-based Shield TBM Risk Management System: Methodology Development and Application",

abstract = "A risk management methodology that can be applicable to a shield Tunnel Boring Machine (TBM) tunneling project is proposed in this paper. A Shield TBM Risk Analysis Model (STRAM) is developed based on Bayesian networks. STRAM considers geological risk factors and TBM types, such as Earth Pressure Balance (EPB) open mode, EPB closed mode, and slurry TBMs, and systematically identifies the potential risk events that may occur during tunnel construction. It can also quantitatively evaluate the degree of risk for the identified potential risk events by estimating the cost of countermeasures against event occurrence. The proposed methodology based on STRAM can minimize the drawbacks of the TBM tunneling method, including difficulty in substituting the machine type once it is selected and excessive delay of the project due to unexpected risk events.",

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author = "Heeyoung Chung and Lee, {In Mo} and Jung, {Jee Hee} and Jeongjun Park",

note = "Funding Information: This research was supported by a grant (Project number: 18SCIP-B066321-06, 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 and a grant from Research and Development Program of the Korea Railroad Research Institute, Republic of Korea. Publisher Copyright: {\textcopyright} 2019, Korean Society of Civil Engineers and Springer-Verlag GmbH Germany, part of Springer Nature.",

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AU - Lee, In Mo

AU - Jung, Jee Hee

AU - Park, Jeongjun

N1 - Funding Information: This research was supported by a grant (Project number: 18SCIP-B066321-06, 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 and a grant from Research and Development Program of the Korea Railroad Research Institute, Republic of Korea. Publisher Copyright: © 2019, Korean Society of Civil Engineers and Springer-Verlag GmbH Germany, part of Springer Nature.

PY - 2019/1/1

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AB - A risk management methodology that can be applicable to a shield Tunnel Boring Machine (TBM) tunneling project is proposed in this paper. A Shield TBM Risk Analysis Model (STRAM) is developed based on Bayesian networks. STRAM considers geological risk factors and TBM types, such as Earth Pressure Balance (EPB) open mode, EPB closed mode, and slurry TBMs, and systematically identifies the potential risk events that may occur during tunnel construction. It can also quantitatively evaluate the degree of risk for the identified potential risk events by estimating the cost of countermeasures against event occurrence. The proposed methodology based on STRAM can minimize the drawbacks of the TBM tunneling method, including difficulty in substituting the machine type once it is selected and excessive delay of the project due to unexpected risk events.

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KW - degree of risk

KW - risk analysis model

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ER -

Bayesian Networks-based Shield TBM Risk Management System: Methodology Development and Application

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Keywords

ASJC Scopus subject areas

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