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作者:

Chen, Chao (Chen, Chao.) (学者:陈超) | Li, Xiaona (Li, Xiaona.) | Li, Qiong (Li, Qiong.) | Yuan, Haoting (Yuan, Haoting.) | Wang, Luyao (Wang, Luyao.) | Li, Yaru (Li, Yaru.)

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摘要:

In allusion to the setting mode of single air shaft, taking a station and its convergence interval of Beijing Metro for example, the dynamic grid simulation method of computational fluid dynamics software FLUENT 15.0 was adopted to study the influence of the buried depth of tunnel on the ventilation performance of subway station based on piston effect. Results show that, when the buried depth of tunnel is increased from 15 m to 35 m, the exhaust air through ventilating shaft is reduced by 28.3%, the total intake air through the ventilating shaft and ground access is reduced by 26.6%. When the buried depth of tunnel is constant and the cross-sectional area of ventilating shaft is increased from 16 m2 to 25 m2, the exhaust air through ventilating shaft increases from 7849 m3 to 9814 m3, the total intake air through the ventilating shaft and ground access increases from 4527 m3 to 4921 m3. With the increase of the buried depth of tunnel, appropriate increase in the cross-sectional area of ventilating shaft can effectively overcome the problem of increasing the buried depth of tunnel but weakening effect of piston wind on the ventilation performance of subway station, so as to ensure the air quality of subway station. © 2017, Editorial Department of China Railway Science. All right reserved.

关键词:

Air Air intakes Air quality Computational fluid dynamics Computer software Pistons Subways Subway stations Ventilation

作者机构:

  • [ 1 ] [Chen, Chao]College of Architecture and Civil Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Chen, Chao]Beijing Key Laboratory of Green Building and Energy-Efficient Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 3 ] [Li, Xiaona]College of Architecture and Civil Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 4 ] [Li, Xiaona]Beijing Key Laboratory of Green Building and Energy-Efficient Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 5 ] [Li, Qiong]College of Architecture and Civil Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 6 ] [Li, Qiong]Beijing Key Laboratory of Green Building and Energy-Efficient Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 7 ] [Yuan, Haoting]College of Architecture and Civil Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 8 ] [Yuan, Haoting]Beijing Key Laboratory of Green Building and Energy-Efficient Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 9 ] [Wang, Luyao]College of Architecture and Civil Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 10 ] [Wang, Luyao]Beijing Key Laboratory of Green Building and Energy-Efficient Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 11 ] [Li, Yaru]College of Architecture and Civil Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 12 ] [Li, Yaru]Beijing Key Laboratory of Green Building and Energy-Efficient Technology, Beijing University of Technology, Beijing; 100124, China

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来源 :

China Railway Science

ISSN: 1001-4632

年份: 2017

期: 6

卷: 38

页码: 87-93

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 2

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