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

Razieh Khaksari, Z. Harun
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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 pre-movement 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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英国公路隧道定量风险评估模型的设计与实现
道路隧道是重要的交通基础设施之一,其消防安全是其运行的重要方面之一。火灾与隧道使用者、交通和消防安全措施之间的相互作用影响着道路隧道的火灾。因此,需要一个复杂的模型来分析风险和量化后果。本文提出了一种新的英国公路隧道定量风险分析模型,该模型由定量后果分析模型和定量频率分析模型组成。通过三个子模型提供了所提出的定量后果分析模型;队列模型、分布模型和出口模型。频率分析是通过考虑英国公路隧道隧道火灾率的事件树进行的。在对该模型进行简要描述后,以某城市道路隧道为例对该方法进行了说明。研究了不同应急通风系统对社会风险的影响,以及模型对运动前时间、重型货车(HGVs)事故频率、可维持阈值温度和不同燃烧车辆的敏感性。
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