Design and Implementation of a Quantitative Risk Assessment Model for UK Road Tunnels

Authors

  • Razieh Khaksari Haddad

fire safety, quantitative risk analysis, consequence analysis, frequency analysis

Abstract

One of the critical transportation infrastructures is road tunnels and fire safety is one of the important aspects of their operation. Interaction between the fire, tunnel users, traffic, and fire safety measures influences fires in road tunnels. Therefore, a complex model is required to analyse the risk and quantify the consequences. In this paper, a novel quantitative risk analysis model developed for UK road tunnels is presented consisting of a quantitative consequence analysis model and a quantitative frequency frequency analysis model. The proposed quantitative consequence analysis model is provided through three sub-models; queue model, distribution model, and egress model. The frequency analysis is via an event tree that takes into account the tunnel fire rate in UK road tunnels. After a brief description of this model, the proposed method is illustrated through a case study of an urban road tunnel. The effect of different emergency ventilation systems on societal risk and sensitivity of the model to premovement time, accident frequencies involving Heavy Good Vehicles (HGVs), tenability threshold temperature, and different burning vehicles were studied in this case study.

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How to Cite

Design and Implementation of a Quantitative Risk Assessment Model for UK Road Tunnels. (2023). Global Journal of Science Frontier Research, 23(I1), 29-36. https://doi.org/10.34257/GJSFRIVOL23IS1PG29

References

A Beard, D Cope (2008) Assessment of the safety of tunnels.

Ciro Caliendo, Maria De Guglielmo (2012) Accident Rates in Road Tunnels and Social Cost Evaluation. 53, 166-177.

Ciro Caliendo, Paolo Ciambelli, Maria De Guglielmo, Maria Meo, Paola Russo (2012) Numerical simulation of different HGV fire scenarios in curved bi-directional road tunnels and safety evaluation. 31, 33-50.

R Haddad, C Maluk, E Reda, Z Harun (2019) Critical velocity and backlayering conditions in rail tunnel fires: State-of-the-art review.

(2004) European Parliament and the Council of the European Union. 167, 39-91.

Eva Jančaříková, Peter Danišovič, Juraj Šrámek (2008) Increase of road tunnels safety using Tunnel Traffic & Operation Simulator. 86, 04058.

D Diamantidis (2005) Risk analysis versus risk acceptability in major European tunnel projects.

K Botschek, B Kohl, R Hörhan (2007) Austrian Risk Analysis for Road Tunnels-Development of a New Method for the Risk Assessment of Road Tunnels.

B Kohl, M Zibert (2010) Risk analysis study for Slovenian motorway tunnels.

Michael Hadjimichael (2009) A fuzzy expert system for aviation risk assessment. 36(3), 6512-6519.

Mauro Roisenberg, Cíntia Schoeninger, Reneu Da Silva (2009) A hybrid fuzzy-probabilistic system for risk analysis in petroleum exploration prospects. 36(3), 6282-6294.

Fabio Borghetti, Paolo Cerean, Marco Derudi, Alessio Frassoldati (2019) Road Tunnels Risk Analysis. 1-8.

M Moonis, A Wilday, M Wardman (2008) Semi-quantitative risk assessment of commercial scale supply chain of hydrogen fuel and implications for industry and society. 88(2), 97-108.

Design and Implementation of a Quantitative Risk Assessment Model for UK Road Tunnels

Published

2023-06-30

How to Cite

Design and Implementation of a Quantitative Risk Assessment Model for UK Road Tunnels. (2023). Global Journal of Science Frontier Research, 23(I1), 29-36. https://doi.org/10.34257/GJSFRIVOL23IS1PG29