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Author:

Li, Jun-Mei (Li, Jun-Mei.) | Cai, Na (Cai, Na.) | Li, Yan-Feng (Li, Yan-Feng.) (Scholars:李炎锋) | Sui, Jing (Sui, Jing.) | Du, Xiu-Li (Du, Xiu-Li.) (Scholars:杜修力)

Indexed by:

EI Scopus PKU CSCD

Abstract:

Due to the large daily passenger flow in subway systems, the fire might cause a great deal of life losses once the fire protection system is not working effectively. Whether the smoke control system which designed following the prescriptive codes can work effectively in real fire cases is doubtful because of the complex structure of the subway system and uncertainties of the fire. Fire hazard assessment based on performance-based analysis would be necessary. Fire hazard assessment for one Beijing subway station under different smoke control strategies and fire scenarios would be carried out in this paper, the optimal smoke control strategies would be determined, and some improved suggestions would be provided for the poor systems. The results would be useful for the smoke control system operation in practice.

Keyword:

Smoke abatement Fire hazards Subway stations Control systems Subways Smoke Fire protection Fires

Author Community:

  • [ 1 ] [Li, Jun-Mei]College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 2 ] [Cai, Na]College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 3 ] [Li, Yan-Feng]College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 4 ] [Sui, Jing]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 Beijing University of Technology

ISSN: 0254-0037

Year: 2011

Issue: 9

Volume: 37

Page: 1377-1382

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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