清晨好,您是今天最早来到科研通的研友!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您科研之路漫漫前行!

Emergency fire evacuation simulation of underground commercial street

工程类 土木工程 法律工程学 运输工程 建筑工程
作者
Xiaojuan Li,Rixin Chen,Yueyue Zhu,C.Y. Jim
出处
期刊:Simulation Modelling Practice and Theory [Elsevier BV]
卷期号:134: 102929-102929 被引量:19
标识
DOI:10.1016/j.simpat.2024.102929
摘要

High-density built-up areas in cities often enlist the underground realm to provide solution space for transport, shopping and other purposes. The special location, layout, and accessibility of underground structures often generate unique and acute safety-risk concerns. They are inadequately understood and managed and cannot be tackled appropriately by conventional risk assessment and abatement methods. This study focused on evacuating underground commercial streets (UCS) with a heavy concentration of people in Fuzhou city in China. Despite the widespread use of building information modeling (BIM) in construction, it has rarely been applied to studies of underground shopping streets. This study adopted BIM technology as the core method, in conjunction with PyroSim fire and Pathfinder evacuation simulation software. Different fire scenarios in four fire protection zones and the most unfavorable fire sources were set in the model. Based on a calculated number of persons at the start of a fire, different movement paths, stair configuration and exit width were simulated. The choice of escape routes, congestion locations, and slack time windows were identified by the graphical images of the simulation programs. Required safe egress time was compared with available safe egress time, and the number of successful evacuees was reckoned. The effects of three escape-stair forms on evacuee utilization and evacuation rates were evaluated. Their evacuation efficiency was ranked: crossed stair > straight stair > parallel-double stair. The simulation results can optimize building layout design and improve understanding of evacuation-efficiency factors. The findings can contribute to reducing casualties and property losses and improving UCS's fire safety management.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
袁青寒发布了新的文献求助10
7秒前
勤劳觅风完成签到,获得积分10
28秒前
Lxx完成签到 ,获得积分10
32秒前
MC123完成签到,获得积分10
34秒前
Criminology34应助科研通管家采纳,获得10
34秒前
Zulyadaini关注了科研通微信公众号
41秒前
46秒前
棉花糖发布了新的文献求助10
52秒前
乐乐应助向前采纳,获得10
1分钟前
1分钟前
向前发布了新的文献求助10
1分钟前
111完成签到 ,获得积分10
1分钟前
fjq95133完成签到 ,获得积分10
1分钟前
科研通AI6.3应助向前采纳,获得10
2分钟前
2分钟前
马伯乐完成签到 ,获得积分10
2分钟前
blueskyzhi完成签到,获得积分10
2分钟前
向前发布了新的文献求助10
2分钟前
桐桐应助陈俊豪采纳,获得10
2分钟前
2分钟前
陈俊豪发布了新的文献求助10
3分钟前
沙海沉戈完成签到,获得积分0
3分钟前
科研通AI6.2应助向前采纳,获得10
3分钟前
3分钟前
向前发布了新的文献求助10
3分钟前
Chan完成签到,获得积分10
4分钟前
Ya完成签到 ,获得积分10
4分钟前
张起灵完成签到 ,获得积分10
4分钟前
5分钟前
完美世界应助麻辣小龙虾采纳,获得10
5分钟前
5分钟前
5分钟前
彭于晏应助麻辣小龙虾采纳,获得10
5分钟前
5分钟前
5分钟前
田様应助yanwei采纳,获得10
6分钟前
赘婿应助向前采纳,获得10
6分钟前
今后应助麻辣小龙虾采纳,获得10
6分钟前
6分钟前
向前发布了新的文献求助10
6分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
CLSI M100 Performance Standards for Antimicrobial Susceptibility Testing 36th edition 400
Cancer Targets: Novel Therapies and Emerging Research Directions (Part 1) 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6362214
求助须知:如何正确求助?哪些是违规求助? 8175805
关于积分的说明 17224164
捐赠科研通 5416914
什么是DOI,文献DOI怎么找? 2866596
邀请新用户注册赠送积分活动 1843775
关于科研通互助平台的介绍 1691531