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

机译:疏散运动在烟雾弥漫的地下运输系统中的表示

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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:对于工程师而言,关于在烟雾中行走的速度如何以及如何在地下运输系统(如公路和铁路隧道)的消防安全设计过程中得到体现,工程师的指导是有限的。为了解决这个问题,已经研究了地下运输系统起火导致人员疏散时的行为和活动。在本文中,通过对当前在该领域进行的实验研究进行系统回顾,分析了步行速度与能见度条件之间的关系。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。提出了有关如何在无烟和充满烟气的环境中代表步行速度的设计建议。建议中对数据不确定性进行了全面讨论和解决。提出了三种在地下交通系统设计中代表步行速度的方法。方法的选择取决于设计中对不确定性的要求。所开发的表示形式与消防工程设计中用于表示烟雾中的行走速度的现有方法有很大不同,因为它将行走速度描述为可见度的函数,而不是消光系数。这允许比较与反射或发射光的存在有关的收集的数据集。最后,提出了为减少当前不确定性而进行的未来研究的建议。

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