Influence of Longitudinal Ventilation Speed on Evacuation Behavior Characteristics Under a Moving Subway Train with Fire

IF 2.3 3区 工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY
Jiangtao Sun, Zhaijun Lu, Dan Zhou, Kunkun Chu
{"title":"Influence of Longitudinal Ventilation Speed on Evacuation Behavior Characteristics Under a Moving Subway Train with Fire","authors":"Jiangtao Sun, Zhaijun Lu, Dan Zhou, Kunkun Chu","doi":"10.1007/s10694-024-01641-6","DOIUrl":null,"url":null,"abstract":"<p>Subway trains cannot stop immediately to extinguish fires and evacuate passengers if a fire accident occurs. The piston wind generated by train movement coupled with longitudinal ventilation, makes the process of high-temperature smoke spreading upstream and downstream of the fire source more complex and unpredictable. The evacuation process of personnel is affected by high-temperature smoke in tunnels, it is worthwhile to investigate personnel evacuation in interval tunnels under longitudinal ventilation during a train fire. This paper uses a three-dimensional compressible <span>\\(N - S\\)</span> equation and a fully buoyant corrected Renormalization-group (RNG) <span>\\(k - \\varepsilon\\)</span> turbulence model to build a fire smoke spread model. Additionally, a cellular automaton model is employed to construct a simulation model for the evacuation of personnel in interval tunnels. We used the models to investigate the influence of longitudinal ventilation speed on smoke spread and the evacuation behavior characteristics of personnel under a moving subway train with fire. Results show that smoke spreads downstream of the fire source, and the temperature of smoke in tunnels decreases as longitudinal ventilation speed increases. A prediction model between longitudinal ventilation and the peak value of smoke temperatures in tunnels was modified based on Li's prediction model. Meanwhile, the total evacuation time decreases as the longitudinal ventilation speed increases. A theoretical prediction model between the peak value of smoke temperatures and total evacuation time is developed. The model parameters are determined using a nonlinear fitting method. The influence of longitudinal ventilation on the average flow rate and arrival time at the exit upstream of the fire source is less. However, it has a significant effect downstream of the fire source. As the longitudinal ventilation speed increases, the average flow rate at the exit downstream of the fire source increases, leading to a decrease in total evacuation time. A notable consideration is that the elderly or minors are significantly affected by smoke in the late stages of evacuation process, leading to an increase in total evacuation time.</p>","PeriodicalId":558,"journal":{"name":"Fire Technology","volume":"16 1","pages":""},"PeriodicalIF":2.3000,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fire Technology","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1007/s10694-024-01641-6","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

Subway trains cannot stop immediately to extinguish fires and evacuate passengers if a fire accident occurs. The piston wind generated by train movement coupled with longitudinal ventilation, makes the process of high-temperature smoke spreading upstream and downstream of the fire source more complex and unpredictable. The evacuation process of personnel is affected by high-temperature smoke in tunnels, it is worthwhile to investigate personnel evacuation in interval tunnels under longitudinal ventilation during a train fire. This paper uses a three-dimensional compressible \(N - S\) equation and a fully buoyant corrected Renormalization-group (RNG) \(k - \varepsilon\) turbulence model to build a fire smoke spread model. Additionally, a cellular automaton model is employed to construct a simulation model for the evacuation of personnel in interval tunnels. We used the models to investigate the influence of longitudinal ventilation speed on smoke spread and the evacuation behavior characteristics of personnel under a moving subway train with fire. Results show that smoke spreads downstream of the fire source, and the temperature of smoke in tunnels decreases as longitudinal ventilation speed increases. A prediction model between longitudinal ventilation and the peak value of smoke temperatures in tunnels was modified based on Li's prediction model. Meanwhile, the total evacuation time decreases as the longitudinal ventilation speed increases. A theoretical prediction model between the peak value of smoke temperatures and total evacuation time is developed. The model parameters are determined using a nonlinear fitting method. The influence of longitudinal ventilation on the average flow rate and arrival time at the exit upstream of the fire source is less. However, it has a significant effect downstream of the fire source. As the longitudinal ventilation speed increases, the average flow rate at the exit downstream of the fire source increases, leading to a decrease in total evacuation time. A notable consideration is that the elderly or minors are significantly affected by smoke in the late stages of evacuation process, leading to an increase in total evacuation time.

Abstract Image

纵向通风速度对着火行驶地铁列车下疏散行为特征的影响
一旦发生火灾事故,地铁列车无法立即停车灭火和疏散乘客。列车运行产生的活塞风加上纵向通风,使得高温烟气在火源上下游的扩散过程更加复杂和难以预测。人员疏散过程受到隧道高温烟气的影响,因此对列车火灾时纵向通风条件下区间隧道内的人员疏散情况进行研究是值得的。本文采用三维可压缩(N - S)方程和全浮力修正归一化群(RNG)湍流模型来建立火灾烟雾扩散模型。此外,我们还采用了细胞自动机模型来构建区间隧道人员疏散仿真模型。我们利用这些模型研究了纵向通风速度对烟雾扩散的影响,以及人员在着火的移动地铁列车下的疏散行为特征。结果表明,随着纵向通风速度的增加,烟雾会向火源下游扩散,隧道内的烟雾温度也会降低。在李晓东预测模型的基础上,修改了纵向通风与隧道内烟雾温度峰值之间的预测模型。同时,总疏散时间随着纵向通风速度的增加而减少。建立了烟温峰值与总疏散时间之间的理论预测模型。模型参数采用非线性拟合方法确定。纵向通风对火源上游出口的平均流速和到达时间影响较小。然而,纵向通风对火源下游的影响很大。随着纵向通风速度的增加,火源下游出口处的平均流速也会增加,从而导致总疏散时间缩短。值得注意的是,老年人或未成年人在疏散过程的后期会受到烟雾的严重影响,从而导致总疏散时间的增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Fire Technology
Fire Technology 工程技术-材料科学:综合
CiteScore
6.60
自引率
14.70%
发文量
137
审稿时长
7.5 months
期刊介绍: Fire Technology publishes original contributions, both theoretical and empirical, that contribute to the solution of problems in fire safety science and engineering. It is the leading journal in the field, publishing applied research dealing with the full range of actual and potential fire hazards facing humans and the environment. It covers the entire domain of fire safety science and engineering problems relevant in industrial, operational, cultural, and environmental applications, including modeling, testing, detection, suppression, human behavior, wildfires, structures, and risk analysis. The aim of Fire Technology is to push forward the frontiers of knowledge and technology by encouraging interdisciplinary communication of significant technical developments in fire protection and subjects of scientific interest to the fire protection community at large. It is published in conjunction with the National Fire Protection Association (NFPA) and the Society of Fire Protection Engineers (SFPE). The mission of NFPA is to help save lives and reduce loss with information, knowledge, and passion. The mission of SFPE is advancing the science and practice of fire protection engineering internationally.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信