LAPSE:2023.28045
Published Article

LAPSE:2023.28045
Behavior of Piston Wind Induced by Braking Train in a Tunnel
April 11, 2023
Abstract
It is critical to discover the behavior of piston wind induced by a braking train in a tunnel, but there is little research on the theoretical derivation for piston wind behavior. Predicting piston wind behavior as an unsteady airflow by a theoretical formula is hard work due to the complexity of train running states and airflow fields. Herein, we develop a mathematical model to investigate the behavior of piston wind as an unsteady airflow, considering the variation of wind direction in the annular area. In general, the theoretical model is validated by experiments. However, experimental studies about piston wind are scarce. In this study, we simulated the emergent braking process of a train to validate the mathematical model by establishing a 1/50 scaled experimental configuration. The piston wind data tested in the experiment have good agreement with the results calculated by theoretical formulas. In addition, sensitivity analysis of the effect parameters of piston wind (i.e., tunnel length, train length, train speed and blockage ratio) was conducted. The theoretical formulas derived in this paper are applicable to similar train running conditions in railway tunnels or subway tunnels.
It is critical to discover the behavior of piston wind induced by a braking train in a tunnel, but there is little research on the theoretical derivation for piston wind behavior. Predicting piston wind behavior as an unsteady airflow by a theoretical formula is hard work due to the complexity of train running states and airflow fields. Herein, we develop a mathematical model to investigate the behavior of piston wind as an unsteady airflow, considering the variation of wind direction in the annular area. In general, the theoretical model is validated by experiments. However, experimental studies about piston wind are scarce. In this study, we simulated the emergent braking process of a train to validate the mathematical model by establishing a 1/50 scaled experimental configuration. The piston wind data tested in the experiment have good agreement with the results calculated by theoretical formulas. In addition, sensitivity analysis of the effect parameters of piston wind (i.e., tunnel length, train length, train speed and blockage ratio) was conducted. The theoretical formulas derived in this paper are applicable to similar train running conditions in railway tunnels or subway tunnels.
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Keywords
model test, piston wind, railway tunnel, rescue station, theoretical calculation
Subject
Suggested Citation
Yan X, Tao L, Peng J, Zeng Y, Fang Y, Bai Y. Behavior of Piston Wind Induced by Braking Train in a Tunnel. (2023). LAPSE:2023.28045
Author Affiliations
Yan X: Key Laboratory of Transportation Tunnel Engineering, Ministry of Education, Southwest Jiaotong University, Chengdu 610031, China; School of Civil Engineering, Southwest Jiaotong University, Chengdu 610031, China
Tao L: Key Laboratory of Transportation Tunnel Engineering, Ministry of Education, Southwest Jiaotong University, Chengdu 610031, China; School of Civil Engineering, Southwest Jiaotong University, Chengdu 610031, China
Peng J: Key Laboratory of Transportation Tunnel Engineering, Ministry of Education, Southwest Jiaotong University, Chengdu 610031, China; School of Civil Engineering, Southwest Jiaotong University, Chengdu 610031, China
Zeng Y: Key Laboratory of Transportation Tunnel Engineering, Ministry of Education, Southwest Jiaotong University, Chengdu 610031, China; School of Civil Engineering, Southwest Jiaotong University, Chengdu 610031, China
Fang Y: Key Laboratory of Transportation Tunnel Engineering, Ministry of Education, Southwest Jiaotong University, Chengdu 610031, China; School of Civil Engineering, Southwest Jiaotong University, Chengdu 610031, China [ORCID]
Bai Y: Sichuan Communication Surveying & Design Institute, Chengdu 610031, China
Tao L: Key Laboratory of Transportation Tunnel Engineering, Ministry of Education, Southwest Jiaotong University, Chengdu 610031, China; School of Civil Engineering, Southwest Jiaotong University, Chengdu 610031, China
Peng J: Key Laboratory of Transportation Tunnel Engineering, Ministry of Education, Southwest Jiaotong University, Chengdu 610031, China; School of Civil Engineering, Southwest Jiaotong University, Chengdu 610031, China
Zeng Y: Key Laboratory of Transportation Tunnel Engineering, Ministry of Education, Southwest Jiaotong University, Chengdu 610031, China; School of Civil Engineering, Southwest Jiaotong University, Chengdu 610031, China
Fang Y: Key Laboratory of Transportation Tunnel Engineering, Ministry of Education, Southwest Jiaotong University, Chengdu 610031, China; School of Civil Engineering, Southwest Jiaotong University, Chengdu 610031, China [ORCID]
Bai Y: Sichuan Communication Surveying & Design Institute, Chengdu 610031, China
Journal Name
Energies
Volume
13
Issue
23
Article Number
E6420
Year
2020
Publication Date
2020-12-04
ISSN
1996-1073
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PII: en13236420, Publication Type: Journal Article
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LAPSE:2023.28045
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https://doi.org/10.3390/en13236420
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Apr 11, 2023
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