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The representation of evacuation movement in smoke-filled underground transportation systems

机译:烟雾地下运输系统中疏散运动的代表

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Limited guidance is available to engineers on how people's walking speed in smoke can and should be represented in the fire safety design process of underground transportation systems, such as road and rail tunnels. To address this issue, the behaviour and movement of people in case of evacuation due to a fire in underground transportation systems has been investigated. In this paper, the relationship between walking speed and visibility conditions has been analysed by performing a systematic review of current experimental research conducted in the field. This includes data-sets collected in Sweden, Japan, UK, Norway, Finland, Canada, and The Netherlands. A design recommendation on how to represent walking speed in both smoke-free and smoke-filled environments is presented. Uncertainty in data is thoroughly discussed and addressed in the recommendation. Three different methods to represent walking speed during the design of an underground transportation system are suggested. The selection of the method depends on the required treatment of uncertainty in the design. The developed representation substantially differs from existing methods used in fire engineering design to represent walking speed in smoke since it describes walking speed as a function of visibility, rather than the extinction coefficient. This permits comparison of data-sets collected in relationship to the presence of reflecting or emitting lights. Finally, suggestions on future research to be conducted in order to reduce the current uncertainties are provided.
机译:工程师可以使用有限的指导,以如何在烟雾中的烟雾速度和地下交通系统的消防安全设计过程中,如道路和铁路隧道的消防安全设计过程中。为了解决这个问题,已经调查了由于地下运输系统中的火灾疏散情况下的人们的行为和运动。在本文中,通过对现场进行的当前实验研究进行了系统审查,分析了步行速度与可见性条件之间的关系。这包括在瑞典,日本,英国,挪威,芬兰,加拿大和荷兰收集的数据集。提出了关于如何在无烟和含烟的环境中代表步行速度的设计建议。在建议中彻底讨论了数据中的不确定性。提出了三种不同的方法来代表地下运输系统的设计期间的步行速度。该方法的选择取决于设计中不确定性的所需处理。发达的表示基本上与消防工程设计中使用的现有方法不同,以代表烟雾中的步行速度,因为它将步行速度描述为可视性的函数,而不是消光系数。这允许比较与反射或发射灯的关系中的关系中收集的数据集。最后,提供了关于减少当前不确定性的未来研究的建议。

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