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 |
|---|---|
| Journal | KSCE Journal of Civil Engineering |
| DOIs | |
| Publication status | Accepted/In press - 2018 Jan 1 |
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Keywords
- Bayesian networks
- degree of risk
- risk analysis model
- risk management methodology
- Shield Tunnel Boring Machine (TBM)
ASJC Scopus subject areas
- Civil and Structural Engineering
Cite this
Bayesian Networks-based Shield TBM Risk Management System : Methodology Development and Application. / Chung, Heeyoung; Lee, In Mo; Jung, Jee Hee; Park, Jeongjun.
In: KSCE Journal of Civil Engineering, 01.01.2018.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Bayesian Networks-based Shield TBM Risk Management System
T2 - Methodology Development and Application
AU - Chung, Heeyoung
AU - Lee, In Mo
AU - Jung, Jee Hee
AU - Park, Jeongjun
PY - 2018/1/1
Y1 - 2018/1/1
N2 - 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.
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.
KW - Bayesian networks
KW - degree of risk
KW - risk analysis model
KW - risk management methodology
KW - Shield Tunnel Boring Machine (TBM)
UR - http://www.scopus.com/inward/record.url?scp=85056860412&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85056860412&partnerID=8YFLogxK
U2 - 10.1007/s12205-018-0912-y
DO - 10.1007/s12205-018-0912-y
M3 - Article
AN - SCOPUS:85056860412
JO - KSCE Journal of Civil Engineering
JF - KSCE Journal of Civil Engineering
SN - 1226-7988
ER -