Research on the Smoke Flow Law of New Energy Vehicle Fire in Tunnel

被引：0

作者：

Bai, Zhenpeng ^{[1
]}

Li, Jingjing ^{[1
]}

Qin, Hengjie ^{[1
]}

Yao, Haowei ^{[2
]}

Zhao, Xiaohan ^{[3
]}

机构：

[1] Department of College of Building Environment Engineering, Zhengzhou University of Light Industry, China

[2] Department of College of Building Environment Engineering, Zhengzhou University of Light Industry, Zhengzhou,450002, China

[3] Department of Financial Management, Henan Light Industry Vocational College, Zhengzhou,450000, China

来源：

IAENG International Journal of Applied Mathematics | 2025年 / 55卷 / 04期

关键词：

Data flow graphs - Fire extinguishers - Premixed flames;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

The fire risk of new energy vehicles in tunnels cannot be ignored. This paper uses research methods such as data research and theoretical analysis. It is based on FDS simulation method and combined with PyroSim fire simulation software. A simulation model was developed to investigate various operational conditions for numerical analysis. The study focused on examining the fire propagation speed, smoke dispersion patterns, and temperature distribution characteristics of new energy vehicles within tunnel environments. Finally, the numerical simulation data obtained was processed using Origin software to obtain a case data graph. The development characteristics of highway tunnel fires are systematically discussed based on the data graph. This paper obtained the variation law of fire temperature at different time periods through numerical simulation analysis. The results indicated a rapid increase in temperature over time within the tunnel, followed by a peak, and then a subsequent decline towards stabilization. The temperature of the tunnel ceiling exhibited a decreasing trend from the central point towards both ends during a fire event. Additionally, the rate of fire spread within the tunnel was observed to escalate with an increase in the heat release rate (HRR). However, over time, the rate of change stabilized after reaching a critical threshold. This paper can help predict fire progression early and improve fire control and mitigation measures in tunnel environments. © (2025), (International Association of Engineers). All rights reserved.

引用

页码：927 / 932