Journal
APPLIED THERMAL ENGINEERING
Volume 60, Issue 1-2, Pages 7-14Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.applthermaleng.2013.06.033
Keywords
Tunnel fire; Back-layering length; Critical velocity; Vehicular blockage-fire distance; Longitudinal ventilation
Funding
- National Nature Foundation of China [51176180]
- National Basic Research Program of China [2012CB719702]
- Fundamental Research Funds for the Central Universities
- Program for New Century Excellent Talents in University [NCET-09-0914]
- Opening Fund of State Key Laboratory of Fire Science (SKLFS) [HZ2011-KF03]
Ask authors/readers for more resources
Experiments are conducted in a model tunnel to study the effect of a vehicular blockage at the upstream of the fire source on the buoyancy driven back-layering length and critical velocity in a longitudinal ventilated tunnel. The relative distance between the vehicular blockage and fire source are ranged in 1 m similar to 6 m. It is found that with no blockage, experimental data on back-layering length and critical velocity can be well collapsed by Wu model and Li model, respectively. However, with the increase in blockage-fire distance, both the back-layering length and critical velocity first decrease then approach to constants similar to those with no blockage. The modified Wu model and Li model amended by cross-sectional blockage ratio proposed by Lee, which does not include the factor of blockage-fire distance, still fail to predict experimental results for different blockage-fire distances. Thus a dimensionless modification coefficient eta is proposed and correlated non-dimensionally with the normalized blockagefire distance to account for this effect. Finally, global models are proposed to predict back-layering length and critical velocity including factors of both cross-sectional blockage ratio and blockage-fire distance, which are shown to well collapse the experimental measurements in good agreement. (C) 2013 Elsevier Ltd. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available