Mathematical modeling and sensitive analysis of the train-induced unsteady airflow in subway tunnel

Abstract With the flourishing development of the subway construction, more and more attentions are paid to the subway tunnel ventilation. The piston wind caused by the running trains can not only improve the tunnel environment, but also strengthen the power of the tunnel ventilation. The majority of the current researches are based on similar experiments or CFD simulations, yet most of which lack universality. It takes long time to finish the research cycles and it is difficult to generalize the conclusions based on these researches. This paper is aimed to put forward a universal prediction formula to estimate the ventilation effect of piston wind. In this paper, a uniformly accelerated Bernoulli theoretical model is established firstly, which is validated by the experimental data and numerical simulations. Secondly, a passing through model is built with the verified theoretical method and the influence of the key parameters on the ventilation rate are analyzed. Thirdly, the grey correlation analysis is conducted to study each influencing factors, meanwhile, a general prediction formula on the ventilation rate is proposed, which is applicable to the most subway tunnels in China. Finally, the effects of the trailing distance between multi-trains on the tunnel ventilation is discussed.

[1]  Shijun You,et al.  Numerical investigation of unsteady airflow in subway influenced by piston effect based on dynamic mesh , 2014 .

[2]  T. Y. Chen,et al.  Investigations of piston-effect and jet fan-effect in model vehicle tunnels , 1998 .

[3]  Zhao Yang,et al.  An innovative environmental control system of subway , 2015 .

[4]  Rainald Löhner,et al.  Modeling subway air flow using CFD , 2014 .

[5]  Guowei Yang,et al.  A moving model rig with a scale ratio of 1/8 for high speed train aerodynamics , 2016 .

[6]  Mingzhi Yang,et al.  Pressure transients induced by a high-speed train passing through a station , 2014 .

[7]  Yuan-dong Huang,et al.  Effects of the solid curtains on natural ventilation performance in a subway tunnel , 2013 .

[8]  Shijun You,et al.  Experimental and numerical investigation of braking energy on thermal environment of underground subway station in China's northern severe cold regions , 2016 .

[9]  Shijun You,et al.  CFD simulation and optimization of the ventilation for subway side-platform , 2007 .

[10]  Lin Ma,et al.  A validated numerical investigation of the effects of high blockage ratio and train and tunnel length upon underground railway aerodynamics , 2015 .

[11]  Kyu-Hong Kim,et al.  Effects of nose shape and tunnel cross-sectional area on aerodynamic drag of train traveling in tunnels , 2014 .

[12]  Mingzhi Yang,et al.  Oblique tunnel portal effects on train and tunnel aerodynamics based on moving model tests , 2017 .

[13]  Jun Mao,et al.  Safe velocity of on-fire train running in the tunnel , 2016 .

[14]  Dong-Joo Song,et al.  A computational analysis of the train-wind to identify the best position for the air-curtain installation , 2011 .

[15]  Jesús Manuel Fernández Oro,et al.  Numerical modeling of the piston effect in longitudinal ventilation systems for subway tunnels , 2014 .

[16]  Chung-Yue Wang,et al.  Numerical simulation of two trains intersecting in a tunnel , 2014 .

[17]  Jurij Modic,et al.  Fire simulation in road tunnels , 2003 .

[18]  Timo Mäkelä,et al.  The concentrations and composition of and exposure to fine particles (PM2.5) in the Helsinki subway system , 2005 .

[19]  Yoshihide Tominaga,et al.  Steady and unsteady RANS simulations of pollutant dispersion around isolated cubical buildings: Effect of large-scale fluctuations on the concentration field , 2017 .

[20]  Wan Ki Chow,et al.  Numerical studies on performance evaluation of tunnel ventilation safety systems , 2003 .

[21]  Zhengwei Chen,et al.  Field study on the interior pressure variations in high-speed trains passing through tunnels of different lengths , 2017 .

[22]  Kwang-Yong Kim,et al.  Experimental and numerical analyses of train-induced unsteady tunnel flow in subway , 2007 .

[23]  Yanhua Zeng,et al.  Numerical and experimental study on the flow field induced by a train urgently speeding to the rescue station , 2016 .

[24]  Daoli Zhu,et al.  Characteristics of particulate matter (PM) concentrations influenced by piston wind and train door opening in the Shanghai subway system , 2016 .

[25]  Kyung Ryu,et al.  Influences of the train-wind and air-curtain to reduce the particle concentration inside a subway tunnel , 2016 .

[26]  Kozo Fujii,et al.  Numerical investigation of three-dimensional compressible flows induced by a train moving into a tunnel , 1997 .

[27]  G. Ruxton,et al.  Effective use of Pearson's product–moment correlation coefficient , 2014, Animal Behaviour.

[28]  Andrew Quinn,et al.  Gusts caused by high-speed trains in confined spaces and tunnels , 2013 .

[29]  M. T. Ke,et al.  Numerical simulation for optimizing the design of subway environmental control system , 2002 .

[30]  Chang Nyung Kim,et al.  A Numerical Study of the Train-Induced Unsteady Airflow in a Subway Tunnel with Natural Ventilation Ducts Using the Dynamic Layering Method , 2010 .

[31]  Bje Bert Blocken,et al.  CFD simulation of train aerodynamics : train-induced wind conditions at an underground railroad passenger platform , 2015 .

[32]  Yew Khoy Chuah,et al.  A study on underground tunnel ventilation for piston effects influenced by draught relief shaft in subway system , 2008 .