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Author:

Zhao, Yao-Hua (Zhao, Yao-Hua.) (Scholars:赵耀华) | Hu, Jia-Peng (Hu, Jia-Peng.) | Fan, Hong-Ming (Fan, Hong-Ming.) | Zhang, Da-Ming (Zhang, Da-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 the airflow characteristic in ventilating and smoke exhausting in subway station and tunnel fire. From the present numerical simulation results, it is clarified that the huge calculation flow field concerned can be simplified as that: when the fire takes place in a subway station, the computational area is the station with one station and two tunnels on each side, and when the fire takes place in a subway tunnel, the computational area is the tunnel with two stations and one tunnel on each side, in this case, all the inlets and outlets can be set as free boundary conditions. Simulating results are mostly the same as experimental results.

Keyword:

Subways Boundary conditions Fire hazards Subway stations Ventilation exhausts Vehicular tunnels Computational fluid dynamics Flow fields Computer simulation Smoke

Author Community:

  • [ 1 ] [Zhao, Yao-Hua]College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100022, China
  • [ 2 ] [Hu, Jia-Peng]College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100022, China
  • [ 3 ] [Fan, Hong-Ming]College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100022, China
  • [ 4 ] [Zhang, Da-Ming]College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100022, China
  • [ 5 ] [Du, Xiu-Li]College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100022, China

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Source :

Journal of Engineering Thermophysics

ISSN: 0253-231X

Year: 2007

Issue: 2

Volume: 28

Page: 310-312

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: 9

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