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超高层建筑施工中起火预测及火灾模拟与人员疏散
引用本文:任浩,王宪杰,张林飞,翁振江,高雪莲,陈永党.超高层建筑施工中起火预测及火灾模拟与人员疏散[J].科学技术与工程,2024,24(12):5114-5122.
作者姓名:任浩  王宪杰  张林飞  翁振江  高雪莲  陈永党
作者单位:云南大学建筑与规划学院;云南大学建筑与规划学院、中建交通建设集团有限公司云南分公司
基金项目:国家自然科学基金项目(面上项目,重点项目,重大项目)
摘    要:与对应情况下的人员疏散问题,以招平商务中心项目施工现场为例,采用神经网络对火灾的起火材料进行预测,通过火灾动力学模拟工具进行火灾模拟仿真,得到火灾烟气与温度的模拟数据,并在此基础上考虑恐慌和施工环境影响,对施工现场人员利用Pathfinder进行疏散研究。结果表明:该案例最可能的起火材料为保温材料,火灾时影响疏散的因素主要为温度与能见度,疏散者受恐慌情绪、火灾和施工环境影响后,疏散时间由324 s变为419 s。

关 键 词:施工火灾  超高层建筑  FDS  疏散模拟  神经网络
收稿时间:2023/7/15 0:00:00
修稿时间:2024/2/5 0:00:00

Fire Prediction, Fire Simulation, and Personnel Evacuation Dur-ing the Construction of Super High-rise Buildings
Ren Hao,Wang Xianjie,Zhang Linfei,Weng Zhenjiang,Gao Xuelian,Chen Yongdang.Fire Prediction, Fire Simulation, and Personnel Evacuation Dur-ing the Construction of Super High-rise Buildings[J].Science Technology and Engineering,2024,24(12):5114-5122.
Authors:Ren Hao  Wang Xianjie  Zhang Linfei  Weng Zhenjiang  Gao Xuelian  Chen Yongdang
Institution:School of Architecture and Planning, Yunnan University
Abstract:During super high-rise construction, there are many fire-starting factors with higher fire hazards and higher evacuation risks. In order to study the occurrence of fire in super high-rise construction and the evacuation in the corresponding situation, taking the construction site of the Zhaoping Business Centre project as an example, the neural network was used to predict the fire-starting materials of the fire. The fire simulation was carried out to get the simulation data of the fire smoke and the temperature by fire dynamics simulator. Taking fire, panic and the construction environment into account, the evacuation of construction workers was studied by Pathfinder. The results show that the most probable fire-starting material in this case is insulation. The main factors affecting evacuation during fire are temperature and visibility. The evacuation time of evacuees changes from 324 s to 419 s after being affected by panic, fire and construction environment.
Keywords:construction fire  high-rise building  FDS  evacuation simulation  neural networks
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