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Computer modelling of fire consequences on road critical infrastructure - tunnels

  • Pribyl, Pavel (Czech Technical University in Prague, Faculty of Transportation Sciences) ;
  • Pribyl, Ondrej (Czech Technical University in Prague, Faculty of Transportation Sciences) ;
  • Michek, Jan (Czech Technical University in Prague, Faculty of Transportation Sciences)
  • 투고 : 2018.08.07
  • 심사 : 2018.08.28
  • 발행 : 2018.09.25

초록

The proper functioning of critical points on transport infrastructure is decisive for the entire network. Tunnels and bridges certainly belong to the critical points of the surface transport network, both road and rail. Risk management should be a holistic and dynamic process throughout the entire life cycle. However, the level of risk is usually determined only during the design stage mainly due to the fact that it is a time-consuming and costly process. This paper presents a simplified quantitative risk analysis method that can be used any time during the decades of a tunnel's lifetime and can estimate the changing risks on a continuous basis and thus uncover hidden safety threats. The presented method is a decision support system for tunnel managers designed to preserve or even increase tunnel safety. The CAPITA method is a deterministic scenario-oriented risk analysis approach for assessment of mortality risks in road tunnels in case of the most dangerous situation - a fire. It is implemented through an advanced risk analysis CAPITA SW. Both, the method as well as the resulting software were developed by the authors' team. Unlike existing analyzes requiring specialized microsimulation tools for traffic flow, smoke propagation and evacuation modeling, the CAPITA contains comprehensive database with the results of thousands of simulations performed in advance for various combinations of variables. This approach significantly simplifies the overall complexity and thus enhances the usability of the resulting risk analysis. Additionally, it provides the decision makers with holistic view by providing not only on the expected risk but also on the risk's sensitivity to different variables. This allows the tunnel manager or another decision maker to estimate the primary change of risk whenever traffic conditions in the tunnel change and to see the dependencies to particular input variables.

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참고문헌

  1. Alonso, V., Abreu, O., Cuesta, A. and Alvear, D. (2014), "An Evacuation model for risk analysis in Spanish Road Tunnels", Procedia-Social and Behavioral Sciences, 162, 208-2017. https://doi.org/10.1016/j.sbspro.2014.12.201
  2. Alvear, D., Abreu, O., Cuesta, A. and Alonso, V. (2013), "Decission support systém for emergency management: Road tunnels", Tunn. Undergr. Sp. Tech., 4, 13-21.
  3. Aven, T. and Heide, B. (2009), "Reliability and validity of risk analysis", Reliab. Eng. Syst. Safe., 94, 1862-1868. https://doi.org/10.1016/j.ress.2009.06.003
  4. Bari, S. and Nasser, J. (2005), "Simulation of smoke from a burning vehicle and pollution levels caused by traffic jam in a road tunnel", Tunn. Undergr. Sp. Tech., 20, 281-290. https://doi.org/10.1016/j.tust.2004.09.002
  5. Beard, A.N. (2010), "Tunnel safety, risk assessment and decision-making", Tunn. Undergr. Sp. Tech., 25, 91-94. https://doi.org/10.1016/j.tust.2009.07.006
  6. Bjelland, H. and Aven, T. (2013), "Treatment of uncertainty in risk assessment in the Rogfast road tunnel project", Safety Sci., 55, 34-44. https://doi.org/10.1016/j.ssci.2012.12.012
  7. Boer, L.C. (2003), "Behaviour of drivers during tunnel evacuation", Claim. Undergr. Sp., 213-217.
  8. Borg, A., Bjelland, H. and Nja, O. (2014), "Reflections on Bayesian Network models for road tunnel safety design. A case study from Norway", Tunn.Undergr. Sp. Tech., 43, 300-314. https://doi.org/10.1016/j.tust.2014.05.004
  9. Caliendo, C., Ciambelli, P., Gugluielmo, M.L., Meo, M.G. and Russo, P. (2013), "Simulation of fire scenarios due to different vehicle types with and without traffic in bi-directional road tunnel", Tunn.Undergr. Sp. Tech., 37, 22-36. https://doi.org/10.1016/j.tust.2013.03.004
  10. Capote, J.A., Alvear, D., Abreu, O., Cuesta, A. and Alonso, V. (2013), "A real-time stochastic evacuation model for road tunnels", Safety Sci., 52, 73-80. https://doi.org/10.1016/j.ssci.2012.02.006
  11. Cheliyan, A.S. and Bhattacharyya, S.K. (2018), "Fuzzy event tree analysis for quantified risk assessment due to oil and gas leakage in offshore installations", Ocean Syst. Eng., 8(1), 41-55. https://doi.org/10.12989/OSE.2018.8.1.041
  12. Fellendorf, M. (1994), VISSIM: A microscopic Simulation Tool to Evaluate Actuated Signal Control including Bus Priority, 64th ITE Annual Meeting, Dallas, Technical paper.
  13. Ferdous, R., Khan, F.I., Veitch, B. and Amyotte, P.R. (2007), "Methodology for computer-aided fault tree analysis", Trans IChemE, Part B, Process safety and environmental protection, 85 (1), 70-80. https://doi.org/10.1205/psep06002
  14. Fouladgar, M.M., Yazdani-Chamzini, A. and Zavadskas, E.K. (2012), "Risk evaluation of tunneling projects", Arch. Civil Mech. Eng., 12(1), 1-12. https://doi.org/10.1016/j.acme.2012.03.008
  15. FSV (Forschungsgesellschaft StraBe - Schiene - Verkehr) (2008), Tunnel Safety - Tunnel Risk Model, FSV (O sterreichische Forschungsgesellschaft StraBe - Schiene - Verkehr), RVS 09.03.11.
  16. Goerland, F. and Reniers G. (2018), "Prediction in a risk analysis context: Implications for selecting a risk perspective in practical applications", Safety Sci., 101, 344-351. https://doi.org/10.1016/j.ssci.2017.09.007
  17. Hua, G.Y., Wang, W., Zhao, Y.H. and Li, L. (2011), "A study of an optimal smoke control strategy for an Urban Traffic Link Tunnel fire", Tunn. Undergr. Sp. Tech., 26, 336-344. https://doi.org/10.1016/j.tust.2010.11.004
  18. Jin, N.G., Tang, L., Fu , C.Q. and Jin, X.Y. (2009), "Risk analysis of tunnel lining using fault tree theory and entropy measurement", Proceedings of the 2009 WRI World Congress on Computer Science and Information Engineering,.
  19. Kazaras, K., Kirytopoulos, K. and Rentizelas, A. (2012), "Introducing the STAMP method in road tunnel safety assessment", Safety Sci., 50(9), 1806-1817. https://doi.org/10.1016/j.ssci.2012.04.013
  20. Kohl, B. et al. (2010), Current practice for risk evaluation for road tunnel users, Technical report "Risk Evaluation", WG2, PIARC,, 72.
  21. Li, H.N., Yi, T.H., Ren, L., Li, D.S. and Huo, L.S. (2014), "Reviews on innovations and applications in structural health monitoring for infrastructures", Struct. Monit. Maint., 1(1), 1-45. https://doi.org/10.12989/SMM.2014.1.1.001
  22. Migoya, E., Crespo, A., Garecia, J. and Hernandez, J. (2009), "A simplified model of fires in road tunnels. Comparison with three-dimensional models and full-scale measurements", Tunn. Undergr. Sp. Tech., 24, 37-52. https://doi.org/10.1016/j.tust.2008.01.006
  23. Nepal, J. and Chen, H.P. (2015), "Risk-based optimum repair planning of corroded reinforced concrete structures", Struct. Monit. Maint., 2 (2), 133-143. https://doi.org/10.12989/smm.2015.2.2.133
  24. Nilson D., Johansson M. and Frantzich, H. (2009), "Evaluation experiment in road tunnel: A study of human behavior and technical installation", Fire Safety J., 44, 458-468. https://doi.org/10.1016/j.firesaf.2008.09.009
  25. Pate-Cornell, M.E. (1996), "Uncertainities in risk analysis: Six levels of treatment", Reliab. Eng. Syst. Safe., 54, 95-111. https://doi.org/10.1016/S0951-8320(96)00067-1
  26. Persson, M. (2002), "Quantitative risk analysis procedure for the fire evacuation of the road tunnel", Department of Fire Safety Engineering, Lund University, Report 5096.
  27. Persson, M. (2002), "Quantitative risk analysis procedures for the fire evacuation of the road tunnel", Department of Fire Safety Engineering, Lund University, Report 5096, Lund 2002.
  28. PIARC, 2012. Risk evaluation, current practice for risk evaluation for road tunnels, PIARC, Technical committee C.4.
  29. Pribyl, O., Pribyl, P. and THorak, T. (2017), "System for deterministic risk assessment in road tunnels", Procedia Eng., 192, 336-341. https://doi.org/10.1016/j.proeng.2017.06.058
  30. Pribyl, P. and Pribyl, O. (2017), "Calibration of fuzzy model estimating fire response time in a tunnel", Tunn. Undergr. Sp. Tech., 69, 28-36. https://doi.org/10.1016/j.tust.2017.06.009
  31. Pribyl, P., and Pribyl, O. (2014), "Effect of tunnel technological systems on evacuation time", Tunn. Undergr. Sp. Tech., 44, 88-96. https://doi.org/10.1016/j.tust.2014.07.014
  32. Qu, X., Meng, Q., Yuanita, V. and Wong, Y.H. (2011), "Design and implementation of a quantitative risk assessment software tool for Singapore road tunnels", Expert Syst. Appl., 38 (11), 13827-13834.
  33. Radu, L.D. (2009), Qualitative, Semi-Quantitative And, Quantitative Methods For Risk Assessment: Case Of The Financial Audit, Analele Stiintifice ale Universitatii "Alexandru Ioan Cuza", din Iasi - Stiinte Economice, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, 56, 643-657.
  34. Ronchi, E. and Colona, P. (2012), "The evaluation of different evacuation models for assessing road tunnel safety measures", Tunn. Undergr. Sp. Tech., 30, 74-84. https://doi.org/10.1016/j.tust.2012.02.008
  35. Ronchi, E., Pasquale, C. et al. (2012), "The evaluation of different evacuation models for assessing road tunnel safety analysis", Tunn. Undergr. Sp. Tech., 30, 74-84. https://doi.org/10.1016/j.tust.2012.02.008
  36. Saidallah, M., Fergougui, A. and Elalaoui, A. (2016), "A comparative study of urban road traffic simulators", MATEC Web of Conferences, 81.
  37. Sjoberg, L. (2000), "Factors in risk perception", Risk Anal., 20(1), 1-11. https://doi.org/10.1111/0272-4332.00001
  38. Sousa, N., Coutinho-Rodrigues, J. and Natividade-Jesus, E. (2017), "Sidewalk infrastructure assessment using a multicriteria methodology for maintenance planning", J. Infrastruct. Syst., 23(4).
  39. Weidmann, U. (1992), Transporttechnik der FuBganger, Schriftenreihe des IVT 90, Zurich.
  40. Wijngaarden, S.J. and Verhave, J.A. (2006), "Prediction of speech intelligibility for public adress systems in traffic tunnels", Appl. Acoust., 67, 306-323. https://doi.org/10.1016/j.apacoust.2005.07.001
  41. Xu, Z.S (2011), "Analysis of road tunnel fire risk based on fuzzy fault tree method", Proceedings of the 2011 International Conference on Electric Information and Control Engineering, IEEE.