4.7 Article

Effect of blockage-induced near wake flow on fire properties in a longitudinally ventilated tunnel

期刊

出版社

ELSEVIER FRANCE-EDITIONS SCIENTIFIQUES MEDICALES ELSEVIER
DOI: 10.1016/j.ijthermalsci.2018.07.037

关键词

Tunnel fire; Longitudinal ventilation; Blockage; Near wake flow; Fire flame; Temperature distribution

资金

  1. National Key R&D Program of China [2016YFC0800603]
  2. National Natural Science Foundation of China [51504144, 51504142]
  3. Scientific Research Foundation of Shandong University of Science and Technology for Recruited Talents [2015RCJJ047]
  4. Shandong Provincial Nature Science Foundation, China [ZR2016EEP02]

向作者/读者索取更多资源

Effect of blockage-induced near wake flow on fire properties in a longitudinally ventilated tunnel was studied. Numerical simulation was conducted in a tunnel under longitudinal ventilation velocity in the range of 1.0-4.0 m/s. Vehicular blockage was positioned in the upstream of the fire source, with four kinds of blockage ratios (0.24, 0.40, 0.56, 0.72). Temperature contours were used to describe the fire plume region in the tunnel with longitudinal ventilation. It is found that the fire flame goes five stages and transits leaning direction from downstream to upstream of the fire with increasing blockage ratio and ventilation velocity, behaving differently from that in just a longitudinally ventilated tunnel without vehicular blockage. With the increasing ventilation velocity and blockage ratio, the vertical temperature 5 m downstream of the fire decreases and temperature difference in the vertical direction gradually weakens. However, in the upstream 2.5 m from the fire, after the temperature tending to be uniform in the vertical direction, it is high in the middle height and low at the top and bottom. At ventilation velocity larger than 2.5 m/s, the temperature beneath the tunnel ceiling decreases with the increasing blockage ratio downstream of the fire, while there is increase in the upstream. A new expression with the factor blockage ratio included is proposed to predict the maximum temperature beneath the tunnel ceiling, showing good agreement with simulation data.

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