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Study on longitudinal temperature distribution of fire-induced ceiling flow in tunnels with different sectional coefficients

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Abstract
This paper proposes two prediction models for the maximum smoke temperature rise and the temperature distribution in tunnel fires, in which sectional coefficient zeta was introduced to describe geometrical characteristic of the tunnel section. At first, the theoretical analysis was conducted. The dimensionless maximum smoke temperature rise was deduced by applying the dimensional analysis method while the smoke temperature exponential decay law was proposed based on the one-dimensional theory. Then, CFD simulations were conducted in nine tunnels with different cross sectional shapes by Fire Dynamics Simulator, version 5.5. With the 'numerical experiments', two prediction models for the maximum smoke temperature and the smoke temperature distribution were obtained. Meanwhile, complementary experiments were conducted in a 1/10 scale tunnel in order to provide a verification. The experiment results show a good agreement with the numerical simulations. Moreover, the proposed prediction models were compared with the prediction models proposed by Kurioka model and Li model. (C) 2016 Elsevier Ltd. All rights reserved.
Keywords
SMOKE TEMPERATURE, VENTILATION SYSTEMS, MOVEMENT, VELOCITY, GASES, TESTS, MODEL, Tunnel fire, Smoke temperature, CFD simulation, Small-scale model, experiment

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MLA
Liu, Fang et al. “Study on Longitudinal Temperature Distribution of Fire-induced Ceiling Flow in Tunnels with Different Sectional Coefficients.” TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY 54 (2016): 49–60. Print.
APA
Liu, Fang, Yu, L., Weng, M. C., & Lu, X. L. (2016). Study on longitudinal temperature distribution of fire-induced ceiling flow in tunnels with different sectional coefficients. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY, 54, 49–60.
Chicago author-date
Liu, Fang, Longxing Yu, Miao Cheng Weng, and Xin Ling Lu. 2016. “Study on Longitudinal Temperature Distribution of Fire-induced Ceiling Flow in Tunnels with Different Sectional Coefficients.” Tunnelling and Underground Space Technology 54: 49–60.
Chicago author-date (all authors)
Liu, Fang, Longxing Yu, Miao Cheng Weng, and Xin Ling Lu. 2016. “Study on Longitudinal Temperature Distribution of Fire-induced Ceiling Flow in Tunnels with Different Sectional Coefficients.” Tunnelling and Underground Space Technology 54: 49–60.
Vancouver
1.
Liu F, Yu L, Weng MC, Lu XL. Study on longitudinal temperature distribution of fire-induced ceiling flow in tunnels with different sectional coefficients. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY. Oxford: Pergamon-elsevier Science Ltd; 2016;54:49–60.
IEEE
[1]
F. Liu, L. Yu, M. C. Weng, and X. L. Lu, “Study on longitudinal temperature distribution of fire-induced ceiling flow in tunnels with different sectional coefficients,” TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY, vol. 54, pp. 49–60, 2016.
@article{8526184,
  abstract     = {This paper proposes two prediction models for the maximum smoke temperature rise and the temperature distribution in tunnel fires, in which sectional coefficient zeta was introduced to describe geometrical characteristic of the tunnel section. At first, the theoretical analysis was conducted. The dimensionless maximum smoke temperature rise was deduced by applying the dimensional analysis method while the smoke temperature exponential decay law was proposed based on the one-dimensional theory. Then, CFD simulations were conducted in nine tunnels with different cross sectional shapes by Fire Dynamics Simulator, version 5.5. With the 'numerical experiments', two prediction models for the maximum smoke temperature and the smoke temperature distribution were obtained. Meanwhile, complementary experiments were conducted in a 1/10 scale tunnel in order to provide a verification. The experiment results show a good agreement with the numerical simulations. Moreover, the proposed prediction models were compared with the prediction models proposed by Kurioka model and Li model. (C) 2016 Elsevier Ltd. All rights reserved.},
  author       = {Liu, Fang and Yu, Longxing and Weng, Miao Cheng and Lu, Xin Ling},
  issn         = {0886-7798},
  journal      = {TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY},
  keywords     = {SMOKE TEMPERATURE,VENTILATION SYSTEMS,MOVEMENT,VELOCITY,GASES,TESTS,MODEL,Tunnel fire,Smoke temperature,CFD simulation,Small-scale model,experiment},
  language     = {eng},
  pages        = {49--60},
  publisher    = {Pergamon-elsevier Science Ltd},
  title        = {Study on longitudinal temperature distribution of fire-induced ceiling flow in tunnels with different sectional coefficients},
  url          = {http://dx.doi.org/10.1016/j.tust.2016.01.031},
  volume       = {54},
  year         = {2016},
}

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