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Overall risk analysis of shield TBM tunnelling using Bayesian Networks (BN) and Analytic Hierarchy Process (AHP)

베이지안 네트워크와 AHP (Analytic Hierarchy Process)를 활용한 쉴드 TBM 터널 리스크 분석

  • Park, Jeongjun (Korea Railroad Research Institute, Advanced Infrastructure Research Team) ;
  • Chung, Heeyoung (Korea University, School of Civil, Environmental and Architectural Engineering) ;
  • Moon, Joon-Bai (DONGAH Geological Engineering Co., Ltd) ;
  • Choi, Hangseok (Korea University, School of Civil, Environmental and Architectural Engineering) ;
  • Lee, In-Mo (Korea University, School of Civil, Environmental and Architectural Engineering)
  • 박정준 (한국철도기술연구원 첨단인프라연구팀) ;
  • 정희영 (고려대학교 건축사회환경공학부) ;
  • 문준배 ((주)동아지질 터널사업부) ;
  • 최항석 (고려대학교 건축사회환경공학부) ;
  • 이인모 (고려대학교 건축사회환경공학부)
  • Received : 2016.08.30
  • Accepted : 2016.09.21
  • Published : 2016.09.30

Abstract

Overall risks that can occur in a shield TBM tunnelling are studied in this paper. Both the potential risk events that may occur during tunnel construction and their causes are identified, and the causal relationship between causes and events is obtained in a systematic way. Risk impact analysis is performed for the potential risk events and ways to mitigate the risks are summarized. Literature surveys as well as interviews with experts were made for this purpose. The potential risk events are classified into eight categories: cuttability reduction, collapse of a tunnel face, ground surface settlement and upheaval, spurts of slurry on the ground, incapability of mucking and excavation, and water leakage. The causes of these risks are categorized into three areas: geological, design and construction management factors. Bayesian Networks (BN) were established to systematically assess a causal relationship between causes and events. The risk impact analysis was performed to evaluate a risk response level by adopting an Analytic Hierarchy Process (AHP) with the consideration of the downtime and cost of measures. Based on the result of the risk impact analysis, the risk events are divided into four risk response levels and these levels are verified by comparing with the actual occurrences of risk events. Measures to mitigate the potential risk events during the design and/or construction stages are also proposed. Result of this research will be of the help to the designers and contractors of TBM tunnelling projects in identifying the potential risks and for preparing a systematic risk management through the evaluation of the risk response level and the migration methods in the design and construction stage.

Acknowledgement

Grant : 고수압 초장대 해저터널 기술자립을 위한 핵심요소 기술 개발, BIM기반 철도인프라 관리 표준기술 개발

Supported by : 국토교통부

References

  1. Cho, G., Cho, Y., Gang, H. (2003), "The analytic hierarchy process", Donghyun Publisher, Gyeonggi, Korea.
  2. Chong, W. (2013), "Tunnel Boring Machine (TBM) performance in Singapore's Mass Rapid Transit (MRT) system", Master Thesis, Massachusetts Institute of Technology, Cambridge, Massachusetts.
  3. Hyun, K.C., Min, S., Choi, H., Park, J., Lee, I.M. (2015), "Risk analysis using fault-tree analysis (FTA) and analytic hierarchy process (AHP) applicable to shield TBM tunnels", Tunnelling and Underground Space Technology, Vol. 49, pp. 121-129. https://doi.org/10.1016/j.tust.2015.04.007
  4. Jensen, F.V. (2001), "Bayesian networks and decision graphs", Springer-Verlag, New York.
  5. Koh, S.Y., Kwon, S.J., Choo, S.Y., Kim, Y.M. (2010), "The study of the disputed issues during the soft ground shield TBM design and construction according to shield TBM trouble case study", 2010 Fall Conference of the Korean Society for Railway, Jeju, Korea, pp. 2362-2371.
  6. Kwak, J.H., Park, H.K. (2009), "A case study of delay analysis for E.P.B shield TBM method in construction site", Journal of the Korean Society of Civil Engineers, Vol. 29, No. 6D, pp. 737-743.
  7. Maidl, B., Herrenknecht, M., Anheuser, L. (1996), "Mechanised shield tunneling", Ernst & Sohn, Berlin, Germany.
  8. Park, J. (2015), "A risk management system applicable to shield TBM tunnel using Bayesian network", Ph.D. Dissertation, Korea University, Seoul, Korea.
  9. Tóth, Á., Gong, Q., Zhao, J. (2013), "Case studies of TBM tunneling performance in rock-soil interface mixed ground", Tunnelling and Underground Space Technology, Vol. 38, pp. 140-150. https://doi.org/10.1016/j.tust.2013.06.001
  10. Saaty, T.L. (1980), "The analytic hierarchy process", McGraw-Hill, New York.
  11. Seo, J.W., Yoon, J.H., Kim, J.H., Jee, S.H. (2010), "Development of risk analysis structure for large-scale underground construction in urban areas", Journal of the Korean Geotechnical Society, Vol. 26, No. 3, pp. 59-68.
  12. Shirlaw, J.N., Hencher, S.R., Zhao, J. (2000), "Design and construction issues for excavation and tunnelling in some tropically weathered rocks and soils", Proceedings of GeoEng2000, Melbourne, Australia, Vol. 1, pp. 1286-1329.

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