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Author:

Hu, Jia-Peng (Hu, Jia-Peng.) | Zhao, Yao-Hua (Zhao, Yao-Hua.) (Scholars:赵耀华) | Fan, Hong-Ming (Fan, Hong-Ming.) | Du, Xiu-Li (Du, Xiu-Li.) (Scholars:杜修力)

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EI Scopus PKU CSCD

Abstract:

This paper has studied numerically and experimentally simulation of the airflow characteristic in two ventilating and smoke exhausting models in a typical island platform station fire of Beijing subway line 2. The smoke flow quality, the temperature distribution characteristic as well as the smoke density distributed characteristic are predicted and analyzed when the fire occurs in the subway using CFD method, And it is to analyze and compare the smoke diffusion and temperature distribution characteristic in the two ventilating and smoke exhausting models when the fire occurs in the middle of platform. From the present numerical simulation results, it is clarified that it's to control smoke diffusion better when the fans of station is exhausted and the fans of two tunnels on each side is also exhausted.

Keyword:

Boundary conditions Numerical models Diffusion Smoke abatement Fires Computational fluid dynamics Railroads Temperature distribution Computer simulation Smoke

Author Community:

  • [ 1 ] [Hu, Jia-Peng]College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 2 ] [Hu, Jia-Peng]Beijing Urban Engineering Design and Research Institute Co. Ltd., Beijing 100037, China
  • [ 3 ] [Zhao, Yao-Hua]College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 4 ] [Fan, Hong-Ming]College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 5 ] [Du, Xiu-Li]College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100124, China

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Source :

Journal of Engineering Thermophysics

ISSN: 0253-231X

Year: 2009

Issue: 2

Volume: 30

Page: 288-290

ESI Discipline: PHYSICS;

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 12

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