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A Monte Carlo simulation study on probability distribution of urban tunnel fire

机译:城市隧道火灾概率分布的蒙特卡罗仿真研究

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摘要

Urban tunnel traffic has its inherent charateristics, such as frequently periodical traffic congestion/blocking, tidal phenomenon, large traffic flow and population, complicated traffic confluences and cross-flowing intertwined sections. Unlike ordinary roads, the potential fire scenarios are quite different and the consequences of fire are extremely severe in urban tunnel. The study adopts theoretical calculation, formula derivation, traffic survey, random sampling simulation to explore the probability distribution of urban tunnel fire. MATLAB is used to realize the numerical simulation of a million fire scenarios under different working conditions. The results identify the major factors affecting two-lane tunnel vehicle ignition model and three-lane model respectively. The probability of six combustion scales ( $ 5,{m MW} $ , $ 20,{m MW} $ , $ 25,{m MW} $ , $ 30,{m MW} $ , $ 40,{m MW} $ and $ 60,{m MW} $ ) is higher than that of others, and with the increase of combustion scale, the probability decreasing exponentially. The ratio of truck to bus has a significant impact on the probability of large-scale fire. And truck fire and bus fire have a risk of igniting vehicles in adjacent lanes. The research results provide a basis for the design parameters of evacuation safety in practical engineering.
机译:城市交通隧道有其固有的特点酒色,如经常定期交通拥堵/阻挡,潮汐现象,大交通流量和人口的,复杂的流量和汇流交叉流动的缠结部分。不同于普通道路,潜在的火灾场景有很大的不同和火灾的后果是城市隧道极其严重。该研究采用理论计算,公式推导,交通调查,随机抽样模拟探索城市隧道火灾的概率分布。 MATLAB用于实现一百万火灾场景不同工况条件下的数值模拟。结果确定分别影响双线隧道车辆点火模型和三车道模型的主要因素。 6台燃烧秤($ 5的概率 { RM MW},$ 20 { RM MW},$ 25 { RM MW},$ 30 { RM MW} $ ,$ 40 { RM MW} $ $和60 { RM MW} $)比其它的高,并与燃烧规模的增大,概率指数减小。卡车到客车的比例对大型火灾的概率显著的影响。和卡车火灾和巴士起火在相邻车道车辆着火的危险。这一研究成果为疏散安全的实际工程设计参数提供了依据。

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