Journal
APPLIED SCIENCES-BASEL
Volume 11, Issue 7, Pages -Publisher
MDPI
DOI: 10.3390/app11073198
Keywords
quantitative risk analysis; computational fluid dynamics; peak-hour traffic volumes; one-way road tunnel tube; bi-directional traffic; F-N curves
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The study established a Computational Fluid Dynamics (CFD) model to evaluate the risk level of using one-way road tunnel for bi-directional traffic, showing that nighttime bi-directional traffic is more favorable for user evacuation in terms of environmental conditions. The quantitative risk analysis concluded that the risk level during nighttime traffic is reduced by 80% to 100% compared to daytime traffic.
We have set up a Computational Fluid Dynamics (CFD) modeling, and performed a user evacuation model, for evaluating the risk level in one-way road tunnel tube when used for bi-directional traffic in particular circumstances. The simulations were carried out by considering both peak-hour traffic volumes during the day and off-peak hours overnight. The investigated one-way tube is ventilated by natural ventilation only, and has a length of less than 1000 m. With reference to the worst environmental conditions, which are downstream of the fire due to the direction of natural ventilation, the consequences on escaping users, caused by different types of burning vehicles located in various longitudinal positions along the tube, are shown. The results prove the positive effects on environmental conditions (in terms of temperature, visibility distance, CO and CO2 concentration) along the user evacuation path when the tube is used for bi-directional traffic at night rather than daytime. Only for the case of 100 MW fire and in the proximity of the exit portal, the last escaping user might be affected by a visibility distance and CO concentration exceeding the threshold values. In this special case, countermeasures for reducing smoke concentration or emergency services at the portals should be provided. However, the quantitative risk analysis, based on a probabilistic approach, showed that the F-N curve of the tube when used for bi-directional traffic with reference to the night always lies below that of the daytime, and the reduction in the risk level is between 80 and 100% for the night traffic compared to daytime one. It is to be focused on the fact that our modeling may represent a reference in investigating the effects of hourly traffic volumes on the risk level in tunnels and may help decisionmakers in understanding when to temporarily close a tube for maintenance, repair, or rehabilitation activities and use the adjacent tube for bi-directional traffic.
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