4.5 Article

Studies on buoyancy driven two-directional smoke flow layering length with combination of point extraction and longitudinal ventilation in tunnel fires

期刊

FIRE SAFETY JOURNAL
卷 59, 期 -, 页码 94-101

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.firesaf.2013.04.003

关键词

Tunnel fire; Point extraction; Longitudinal ventilation; Smoke flow layering length; Model tunnel experiments; FDS

资金

  1. National Nature Foundation of China [51176180]
  2. National Basic Research Program of China [2012CB719702]
  3. Fundamental Research Funds for the Central Universities
  4. Opening Fund of State Key Laboratory of Fire Science (SKLFS) [HZ2011-KF01]
  5. Program for New Century Excellent Talents in University [NCET-09-0914]

向作者/读者索取更多资源

This paper investigates the buoyancy-driven smoke flow layering length (both upstream and downstream) beneath the ceiling with combination of point extraction and longitudinal ventilation in tunnel fires. A theoretical model is developed based on previous back-laying model with only longitudinal ventilation, with modified actual heat release rate, as well as modified upstream and downstream opposing longitudinal air flow velocities by the induced flow velocity due to point extraction. Experiments are carried out in a reduced scale model tunnel with dimensionless of 72 m x 1.5 m x 1.3 m. A LPG porous gas burner is used as fire source. The smoke flow layering length both upstream and downstream are identified based on temperature profiles measured along the ceiling, for different experiment conditions. CFD simulations with FDS are also performed for the same scenarios. Results show that with combination of point extraction and longitudinal ventilation, the smoke flow layering length is not symmetric where it is longer downstream than that upstream. The upstream smoke layering length decreases, while the downstream layering length increases with increase in longitudinal ventilation velocity; and they both decrease with increase in point extraction velocity. The predictions by the proposed theoretical model agree well with the measurements and simulation results. (c) 2013 Elsevier Ltd. All rights reserved.

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