CRH380AL型高铁列车应急疏散及影响因素模拟研究

doi:10.16265/j.cnki.issn1003-3033.2020.08.024

中国安全科学学报 ›› 2020, Vol. 30 ›› Issue (8): 164-170.doi: 10.16265/j.cnki.issn1003-3033.2020.08.024

CRH380AL型高铁列车应急疏散及影响因素模拟研究

吕伟^1,2 副教授, 秦霜霜², 穆治国², 汪京辉², 姜雅娟², 李加伟²

1 武汉理工大学中国应急管理研究中心,湖北武汉 430070;
2 武汉理工大学安全科学与应急管理学院,湖北武汉 430070

收稿日期:2020-05-25 修回日期:2020-07-05 出版日期:2020-08-28 发布日期:2021-07-15
作者简介:吕伟 (1989—),男,河南信阳人,博士,副教授,主要从事公共安全、应急管理和交通安全等方面的研究。E-mail: weil@whut.edu.cn。
基金资助:
国家自然科学基金资助(51604204);中国博士后科学基金资助(2018M632937);中央高校基本科研业务费专项资金资助(2019IVA075,2019III053GX)。

Simulation study on evacuation of CRH380AL high-speed train and its influencing factors

LYU Wei^1,2, QIN Shuangshuang², MU Zhiguo², WANG Jinghui², JIANG Yajuan², LI Jiawei²

1 China Research Center for Emergency Management, Wuhan University of Technology, Wuhan Hubei 430070, China;
2 School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan Hubei 430070, China

Received:2020-05-25 Revised:2020-07-05 Online:2020-08-28 Published:2021-07-15

摘要/Abstract

摘要： 为揭示乘客携带行李行为、车厢排列布局和站台出口参数等因素对高铁列车疏散的作用,辅助高铁列车疏散安全评估与安全管理,基于PyroSim构建CRH380AL型高铁列车商务座车、一等座车、二等座车和整车车厢的物理模型和疏散模型;通过实地观测高铁列车乘客下车行为,获得乘客携带行李的时间分布特征,量化模型高铁输入参数;设计3种模拟场景,分别得到携带行李人员比例对二等车厢疏散时间、一等和二等座车厢排列对整车疏散时间以及站台出口宽度和位置对整车疏散时间的影响。结果表明:CRH380AL型列车二等座车厢疏散时间与携带行李人员比例之间呈先降后增的非线性关系;车厢排列对整车疏散时间有显著影响且存在最优车厢排列组合;超过6 m的站台出口宽度对整车疏散时间影响不大;站台出口间距对整车疏散时间影响显著且间距为200 m时,对应整车疏散时间最短。

关键词: CRH380AL型高铁列车, 应急疏散, 物理模型, 模拟场景, 车厢

Abstract: In order to reveal impacts of factors like passengers' luggage carrying behaviors, vehicle layout arrangement and platform exit parameters on evacuation of high-speed trains so as to facilitate its evacuation safety assessment and management, a physical model and evacuation model of business-class, first-class, second-class vehicles and whole compartment for CRH380AL were constructed based on PyroSim. Then, time distribution characteristics of passengers' luggage carrying were obtained through field observation of their alighting process, and input parameters of evacuation model were quantified. Thirdly, three simulation scenarios were designed to study influence of proportion of people with luggage on evacuation of second-class vehicle, that of first-class and second-class arrangement as well as exit width and position on evacuation of whole train. The results show that there is a nonlinear relationship, featuring decline first and then increase, between evacuation time of CRH380AL train's second-class vehicle and proportion of passengers with luggage. Compartment layout affects evacuation time of whole train distinctly, and there is an optimal layout arrangement. For platform exits wider than 6 m, their width has little effect on evacuation time of whole train. But platform exit interval has a significant impact on evacuation time which will be the shortest when interval is 200 m.

Key words: CRH380AL high-speed train, emergency evacuation, physical model, simulation scenarios, compartment

中图分类号:

X951

吕伟, 秦霜霜, 穆治国, 汪京辉, 姜雅娟, 李加伟. CRH380AL型高铁列车应急疏散及影响因素模拟研究[J]. 中国安全科学学报, 2020, 30(8): 164-170.

LYU Wei, QIN Shuangshuang, MU Zhiguo, WANG Jinghui, JIANG Yajuan, LI Jiawei. Simulation study on evacuation of CRH380AL high-speed train and its influencing factors[J]. China Safety Science Journal, 2020, 30(8): 164-170.

参考文献

[1] RICHARD D P, ERICA D K, JASON D A. Pedestrian and evacuation dynamics[M].Gaithersburg:Spring,2011: 421-431.
[2] CAPOTE J A, ALVEAR D, ABREU O, et al. Analysis of evacuation procedures in high speed trains fires[J]. Fire Safety Journal, 2012, 49: 35-46.
[3] CAPOTE J A, ALVEAR D, ABREU O, et al. A stochastic approach for simulating human behaviour during evacuation process in passenger trains[J]. Fire Technology, 2012, 48(4): 911-925.
[4] GALEA E R, GWYNNE S. Estimating the flow rate capacity of an overturned rail carriage end exit in the presence of smoke[J]. Fire & Materials, 2000, 24(6): 291-302.
[5] GALEA E R, BLACKSHIELDS D, LAWRENCE P J, et al. The development and validation of a rail car evacuation[C]. 13^th International Fire Science and Engineering Conference. Interscience Communications,2013: 1 023-1 034.
[6] GALEA E R, BLACKSHIELDS D, FINNEY K M, et al. Passenger train emergency systems: development of prototype rail EXODUS software for U.S. passenger rail car egress[R]. U.S. Department of Transportation, Federal Railroad Administration, 2014.
[7] RICHARD D P, ERICA D K, JASON D A. Pedestrian and evacuation dynamics[M].Gaithersburg:Spring,2011: 151-161.
[8] FRIDOLF K, NILSSON D, FRANTZICH H. Evacuation of a metro train in an underground rail transportation system: flow rate capacity of train exits, tunnel walking speeds and exit choice[J]. Fire Technology, 2016, 52(5): 1 481-1 518.
[9] FRIDOLF K, RONCHI E, NILSSON D, et al. Movement speed and exit choice in smoke-filled rail tunnels[J]. Fire Safety Journal, 2013, 59: 8-21.
[10] 吕伟,宋英华,王喆,等.城市单层大型公交车乘客疏散风险分析[J].中国安全科学学报,2014,24(10): 151-156.
LYU Wei, SONG Yinghua, WANG Zhe, et al. Analysis of evacuation risk for passengers in large single-decker city bus[J]. China Safety Science Journal, 2014, 24(10): 151-156.
[11] 张硕,黄榕,余强.大型客车乘客疏散特性与制约因素试验研究[J].中国安全科学学报,2019,29(9): 181-187.
ZHANG Shuo, HUANG Rong, YU Qiang. An experimental study on evacuation characteristics and restrictive factors for passengers evacuating from a motorcoach[J]. China Safety Science Journal, 2019,29(9): 181-187.
[12] 冯诚,杨静,张红亮,等.基于组合模型的地铁车站行人疏散仿真优化研究[J].中国安全科学学报,2019,29(8): 49-54.
FENG Cheng, YANG Jing, ZHANG Hongliang, et al. Research on pedestrian evacuation simulation in rail transit station based on combined model[J]. China Safety Science Journal, 2019,29(8): 49-54.
[13] 杜璐露. 高速列车人员疏散研究[D]. 成都: 西南交通大学, 2012.
DU Lulu. Evacuation research of high speed train[D]. Chengdu: Southwest Jiaotong University,2012.
[14] 周湘川. 基于网络模型的动车组火灾人员疏散研究[J]. 消防科学与技术, 2013, 32(12): 1 331-1 335.
ZHOU Xiangchuan. Evacuation of MU train fire based on network model[J]. Fire Science and Technology, 2013, 32(12): 1 331-1 335.
[15] 林瑞炽. 高速列车火灾安全疏散研究[D]. 成都: 西南交通大学, 2014.
LIN Ruichi. Fire safety evacuation research of high-speed train[D]. Chengdu: Southwest Jiaotong University, 2014.
[16] 朱杰,程奉梅,彭莉,等. 高速列车车厢出口设置对疏散影响研究[J]. 消防科学与技术, 2016, 35(10): 1 381-1 383.
ZHU Jie, CHENG Fengmei, PENG Li, et al. Study on impacts of high-speed train carriages exit setting on evacuation[J]. Fire Science and Technology, 2016,35(10): 1 381-1 383.
[17] 梁伟昭,黄孝亮,尚红霞. 动车组构造[M]. 北京: 北京交通大学出版社, 2017: 12-37.
[18] HELBING D, FARKAS I J, VICSEK T. Simulating dynamical features of escape panic[J]. Nature, 2000, 407(6803): 487-490.
[19] GB/T 10000—1988, 中国成年人人体尺寸[S]
GT/T 10000-1988, Human dimensions of Chinese adults[S].
[20] ALONSO V, ABREU O V, CUESTA A, et al. A new approach for modelling passenger trains evacuation procedures[J]. Procedia:Social and Behavioral Sciences, 2014, 160: 284-293.

CRH380AL型高铁列车应急疏散及影响因素模拟研究

Simulation study on evacuation of CRH380AL high-speed train and its influencing factors

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