A Study on the Influence of Mobile Fans on the Smoke Spreading Characteristics of Tunnel Fires
Mobile fans, as flexible and convenient new longitudinal ventilation and smoke extraction equipment for tunnels, demonstrate more significant effectiveness in an emergency response to tunnel fires compared to traditional smoke extraction methods. This study employs computational fluid dynamics simulation methods, selecting two fire scenarios to investigate the effects of fan inclined angles and fan airflow volumes on the longitudinal temperature distribution and smoke back-layering length in tunnels. The results indicate that when using mobile fans for longitudinal ventilation in tunnels, at a lower fan airflow volume, the temperature distribution along the longitudinal axis is nearly symmetrical. The fire source and the fan installed in the upstream are within a certain range, and it is more effective to use the horizontal angle for longitudinal ventilation. As the fan airflow volume increases, the back-layering length significantly decreases (210,000 m3/h < V < 270,000 m3/h). However, as the fan flow volume continues to increase (270,000 m3/h < V < 300,000 m3/h), the reduction in the back-layering length becomes less pronounced, the smoke spread distance of the latter is only 11% of that of the former. Therefore, selecting appropriate fan airflow volumes and fan inclined angles them can effectively enhance the performance of tunnel smoke extraction systems. Moreover, by comparing with traditional fans, we find that mobile fans provide an alternative effective strategy during firefighting by allowing adjustments in distance from the fire source and fan inclination angles, enhancing fire suppression effectiveness while reducing energy losses. The research findings can serve as a reference for tunnel fire prevention design.
Authors
- Lei Yang (ORCID: https://orcid.org/0000-0002-1530-618X)
- C. Chen
- Weigeng Chen
- Ping Zhou (ORCID: https://orcid.org/0000-0002-2391-5356)
- Zhangquan Wu
- Zheng Fang (ORCID: https://orcid.org/0000-0003-4855-6465)
- Xiaoping Liu (ORCID: https://orcid.org/0000-0002-8935-8580)
- Zhiyuan Cao (ORCID: https://orcid.org/0000-0003-3191-1272)
- Yuhang Liu (ORCID: https://orcid.org/0000-0002-5246-1330)
Institutions
- Hefei University of Technology (CN)
- Shenzhen University (CN)
- Shenzhen Metro (China) (CN)
Publication Details
- Journal
- Fire
- Published
- 2024-10-31
- DOI
- https://doi.org/10.3390/fire7110397
- Citations
- 5
- Primary Topic
- Fire dynamics and safety research
- Type
- article
- Field-Weighted Citation Impact
- 1.82
Funders
- China Railway
- Hefei University
- Hefei University of Technology