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RISK EVALUATION IN ROAD TUNNELS BASED ON CFD RESULTS

ABSTRACT
Approaches to risk assessment in tunnelling and underground spaces were introduced in 2004 as a result of several serious accidents in tunnels such as Mont Blanc and Tauern Tunnel in 1999. The EU has published the minimum safety requirements for tunnels over 500 m on Trans-European Road Network. The risk assessment is mandatory and should cover all components of the system, i.e. infrastructure, operation, users and vehicles. The professional community has started using the quantitative risk assessment approach, where the crucial issue is the consequence analysis of fire scenarios in a tunnel. Fire development is a complex physical phenomenon and its calculation is time consuming, therefore, complex models have rarely been used in quantitative risk assessment approaches. This paper presents the methodology of integrating fast-processing risk assessment methods with time-consuming CFD methods for fire consequence analysis in the process of tunnel safety assessment. The main variables are soot density and temperature, which are analyzed in one-minute time steps during the fire. Human behavior is considered with the evacuation model, which is needed to evaluate fatalities during the fire process. The application of the methodology is presented based on the evaluation of the national tolerable risk for tunnel transport and compared with referenced EU risk criteria. Furthermore, the presented methodology links CFD simulation results and the quantitative risk assessment approach, still representing the collective risk with F-N curves.
KEYWORDS
PAPER SUBMITTED: 2020-11-08
PAPER REVISED: 2021-03-17
PAPER ACCEPTED: 2021-04-01
PUBLISHED ONLINE: 2021-05-16
DOI REFERENCE: https://doi.org/10.2298/TSCI201108174V
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2022, VOLUME 26, ISSUE Issue 2, PAGES [1435 - 1450]
REFERENCES
  1. Nývlt O., P.S., Probabilistic risk assessment of highway tunnels. Tunnelling and Underground Space Technology, 2011. 26(1): p. 71-82.
  2. Ntzeremes, P., Kirytopoulos, K., Applying a stochastic-based approach for developing a quantitative risk assessment method on the fire safety of underground road tunnels. Tunnelling and Underground Space Technology, 2018. Volume 81: p. 619-631.
  3. Artyszuk, J., Towards a Scaled Manoeuvring Mathematical Model for a Ship of Arbitrary Size. Scientific Journal of the Maritime University of Szczecin, 2005: p. 21-37.
  4. Cassini, P., Hall, R., Pons, P., Transport of Dangerous Goods Through Road Tunnels Quantitative Risk Assessment Model - QRAM. User Guide. 2007, OECD/PIARC/EU: Paris.
  5. Kruiskamp, M.M., Brussaard, L.A.,Oude Essink, M.P. The Dutch Model for the Quantitative Risk Analysis of Road Tunnels. in PSAM 7 - ESREL. 2004.
  6. Guoa, X., Zhang, Q., Analytical solution, experimental data and CFD simulation for longitudinal tunnel fire ventilation. Tunnelling and Underground Space Technology, 2014. 42: p. 307-313.
  7. Vidmar P., P.S., An analysis of a fire resulting from a traffic accident. Journal of Mechanical Engineering, 2003: p. 1-13.
  8. Vidmar P., P.S., Application of CFD method for risk assessment in road tunnel. Engineering Applications of Computational Fluid Mechanics, 2007. 1: p. 273-287.
  9. Persson, M., Quantitative Risk Analysis, Procedure for the Fire Evacuation of a Road Tunnel. 2002, Department of Fire Safety Engineering, Lund University: Lund, Sweden.
  10. PIARC, T.C., Risk Analysis for Road Tunnels. 2008, World Road Association: France.
  11. McGrattan, K., Baum, H., Rehm, R., Hamins, A., Forney, G.P., Floyd, J.E. and Hostikka, S., Fire Dynamics Simulator - Technical reference guide (Sixth Edition). 2017: National Institute of Standard and Technology.
  12. Cheng, L.H., T.H. Ueng, C.W. Liu, Simulation of ventilation and fire in the underground facilities. Fire Safety Journal, 2001. 36: p. 597-619.
  13. Jojo, S.M.L., Chow, W.K., Numerical studies on performance evaluation of tunnel ventilation safety systems. Tunnelling and Underground Space Technology, 2003. 18: p. 435-452.
  14. Xiaoping, G., Zhang, Q., Analytical solution, experimental data and CFD simulation for longitudinal tunnel fire ventilation. Tunnelling and Underground Space Technology, 2014. 42: p. 307-313.
  15. Anga, C.D., Rein, G., Peiro, J., Harrison R., Simulating longitudinal ventilation flows in long tunnels: Comparison of full CFD and multi-scale modelling approaches in FDS6. Tunnelling and Underground Space Technology, 2016. 52: p. 119-126.
  16. Trbojevic, V.M. Risk criteria in EU. in European Safety and Reliability Conference. 2005. Poland.
  17. Lohansen, I.L., Foundations and Fallacies of Risk Acceptance Criteria. 2009, Norway: Norwegian University of Science and Technology (NTNU).
  18. Spoure, J., Harmonised Risk Acceptance Criteria for Transport of Dangerous Goods. 2014, DNV-GL Project Report: UK.
  19. Vidmar, P., Perkovič, M, Safety assessment of crude oil tankers. Safety science, 2018. 105: p. 178-191.
  20. Ayalon, O., Shmueli L., Freund Koren S., Zion Zerbib M., Evaluating Market Benefits of Transportation Tunnels—The Carmel Tunnels as a Case Study. Journal of Environmental Protection, 2016. 7: p. 1259-1272.
  21. Department, M.H., Memorial Trunnel Fire Ventilation Test Program, Central Artery/Tunnel Project. 1996.
  22. Sagaut, P., Large Eddy Simulations for Incompressible Flows, second edition. 2002: Springer Berlin Heidelberg.
  23. Gann, R.G., Hall, J.R., Fire Conditions for Smoke Toxicity Measurement. Fire and Materials, 1994. 18: p. 193-199.
  24. Zhang, X., Xu, Z., Ni, T., Peng, J., Ran, Q., Investigation on smoke temperature distribution in a double-deck tunnel fire with longitudinal ventilation and lateral smoke extraction. Case Studies in Thermal Engineering, 2018.
  25. Hartzell, G.E., Overview of combustion toxicology. Toxicology, 1996. Volume 115(Issues 1-3): p. 7-23.
  26. Weng, M., Lu, X., Liu, F., Du, C, Study on the critical velocity in a sloping tunnel fire under longitudinal ventilation. Applied Thermal Engineering, 2016. 94: p. 422-434.

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