A Simple Method to Improve Smoke Exhaust Effectiveness of a Shallow-buried Urban Tunnel Fire with Natural Ventilation-Reference-Cited by-同舟云学术

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A Simple Method to Improve Smoke Exhaust Effectiveness of a Shallow-buried Urban Tunnel Fire with Natural Ventilation

Published:2019-08-26 Issue:3 Volume:193 Page:355-378
ISSN:0010-2202
Container-title:Combustion Science and Technology
language:en
Short-container-title:Combustion Science and Technology

Author:

Fan Chuangang¹²,Chen Jian²,Zhou Yang¹,Li Linjie¹,Zhang Jiaqing³,Fan Minghao³,Liu Xiaoping⁴

Affiliation:

1. School of Civil Engineering, Central South University, Changsha, China

2. School of Automotive and Transportation Engineering, Hefei University of Technology, Hefei, China

3. State Grid Anhui Electric Power Research Institute, Hefei, China

4. School of Civil Engineering, Hefei University of Technology, Hefei, China

Funder

National Key R&D Program of China

Publisher

Informa UK Limited

Subject

General Physics and Astronomy,Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering,General Chemistry

Link

https://www.tandfonline.com/doi/pdf/10.1080/00102202.2019.1657102

Reference57 articles.

1. Experimental study on the effect of heat release rate and aspect ratio of tunnel on the plug-holing phenomena in shallow underground tunnels

2. Experimental investigation of pool fire behavior to different tunnel-end ventilation opening areas by sealing

3. Experimental study on mixing and stratification of buoyancy-driven flows produced by continuous buoyant source in narrow inclined tank

4. Effects of vertical shaft arrangement on natural ventilation performance during tunnel fires

5. Experimental study of air entrainment mode with natural ventilation using shafts in road tunnel fires

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1. Study on the combination effect of tunnel slope and longitudinal fire location on the asymmetric flow fields in a naturally ventilated tunnel;Tunnelling and Underground Space Technology;2024-04

2. Ventilation control of road tunnels towards disturbance suppression;Scientific Reports;2024-01-28

3. Single Room Fire Traceability and Prediction Models Based on Deep Learning Methods;Combustion Science and Technology;2024-01-22

4. A Prediction Model for Ceiling Temperature in the Ultra-Wide Road Tunnel Fire with Lateral Smoke Exhaust;Combustion Science and Technology;2023-12-29

5. A dimensionless model and ant colony optimization fusion temperature prediction in tunnel fires;Applied Soft Computing;2023-09

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