隧道内列车活塞风效应数值模拟分析
|
摘要
随着长及特长单线铁路隧道的大量修建,利用列车活塞风改善隧道内空气质量,降低隧道通风能耗已成为可能。采用数值模拟方法以英国Patchway隧道作为物理模型,利用Flunet17.0软件建立相应动网格模型。模拟计算获得的活塞风速平均值与实测值吻合度较好,表明该模拟方法准确性较高。在此基础上,改变行车速度,对隧道内列车活塞风效应做系列模拟计算。研究结果表明:以patchway隧道和列车数据为基本参数,列车行车速度每增加5m/s,平均活塞风速约以19.48%递增,平均增压约以50%左右递增,表明列车行车车速与活塞风速、风压存在正相关关系。该研究可为工程上列车活塞风效应估算提供借鉴。
With the extensive construction of long and long single-track railway tunnels, it has become possible to use piston winds to improve the air quality in tunnels and reduce the ventilation energy consumption of tunnels. This paper adopts the numerical simulation method to use the British patchway tunnel as the physical model, and uses Flunet 17.0 software to establish the corresponding dynamic grid model. The simulation results show that the average value of the piston wind speed agrees well with the measured value, which indicates that the accuracy of the simulation method is higher.Based on this, change the speed of the train and do a series of simulation calculations on the effects of the piston wind on the tunnel.The research results show that with patchway tunnel and train data as the basic parameters, the average speed of the piston increases by approximately 19.48% for every 5 m/s of the speed of the train, and the average boost increases by approximately 50%, indicating that the train speed and the piston wind speed There is a positive correlation between wind pressure and wind pressure. The research in this paper can provide reference for estimating the piston wind effect of trains in engineering.
With the extensive construction of long and long single-track railway tunnels, it has become possible to use piston winds to improve the air quality in tunnels and reduce the ventilation energy consumption of tunnels. This paper adopts the numerical simulation method to use the British patchway tunnel as the physical model, and uses Flunet 17.0 software to establish the corresponding dynamic grid model. The simulation results show that the average value of the piston wind speed agrees well with the measured value, which indicates that the accuracy of the simulation method is higher.Based on this, change the speed of the train and do a series of simulation calculations on the effects of the piston wind on the tunnel.The research results show that with patchway tunnel and train data as the basic parameters, the average speed of the piston increases by approximately 19.48% for every 5 m/s of the speed of the train, and the average boost increases by approximately 50%, indicating that the train speed and the piston wind speed There is a positive correlation between wind pressure and wind pressure. The research in this paper can provide reference for estimating the piston wind effect of trains in engineering.
引文
[1]曾艳华,白赟,周小涵,等.列车停靠隧道内救援站过程中活塞风变化数值模拟分析[J].中国铁道科学,2016,37(4):128-133.
[2]闫春利,雷波.行车对数和位置对活塞风井通风特性的影响[J].制冷与空调,2018,32(1):1-6.
[3]甘甜,王伟,赵耀华,等.地铁活塞风Fluent动网格模型建立与验证[J].建筑科学,2011,27(8):75-81.
[4]陈荣,王国志,邓斌,等.列车通过隧道时流场二维数值模拟分析[J].铁道建筑,2013(1):52-55.
[5]JYKim,KYKim.Experimental and numerical analyses of train-induced unsteady tunnel flow in subway[J].Tunneling and Underground Space Technology,2007,22(2):166-172.
[6]KE Mingtsun,CHENG Tsungche.Numerical Simulation for Optimizing the Desgin of Subway Environmental Control System[J].Building and Environment,2002,37(11):1139-1152.
[7]JKMok,JYoo.Numerical study on high speed train and tunnel hood interaction[J].Journal of Wind Engineering and Industrial Aerodynamics,2001,89:17-29.
[8]Chang-Hoon Shin,Warn-Gyu Park.Numerical study of flow characteristics of the high speed train entering into a tunnel[J].Mechanics Research Communications,2003,30:287-296.
[9]王从陆,吴超.基于移动参考框架矿内运输工具活塞风数值模拟[J].煤炭学报,2007(8):838-841.
[10]邬长福,邓权龙,李乐农.基于动网格井巷活塞风影响因素数值模拟研究[J].中国矿业,2015,24(8):110-114.
[11]李炎.铁路隧道列车活塞风特性分析及理论研究[D].兰州:兰州交通大学,2010.
[2]闫春利,雷波.行车对数和位置对活塞风井通风特性的影响[J].制冷与空调,2018,32(1):1-6.
[3]甘甜,王伟,赵耀华,等.地铁活塞风Fluent动网格模型建立与验证[J].建筑科学,2011,27(8):75-81.
[4]陈荣,王国志,邓斌,等.列车通过隧道时流场二维数值模拟分析[J].铁道建筑,2013(1):52-55.
[5]JYKim,KYKim.Experimental and numerical analyses of train-induced unsteady tunnel flow in subway[J].Tunneling and Underground Space Technology,2007,22(2):166-172.
[6]KE Mingtsun,CHENG Tsungche.Numerical Simulation for Optimizing the Desgin of Subway Environmental Control System[J].Building and Environment,2002,37(11):1139-1152.
[7]JKMok,JYoo.Numerical study on high speed train and tunnel hood interaction[J].Journal of Wind Engineering and Industrial Aerodynamics,2001,89:17-29.
[8]Chang-Hoon Shin,Warn-Gyu Park.Numerical study of flow characteristics of the high speed train entering into a tunnel[J].Mechanics Research Communications,2003,30:287-296.
[9]王从陆,吴超.基于移动参考框架矿内运输工具活塞风数值模拟[J].煤炭学报,2007(8):838-841.
[10]邬长福,邓权龙,李乐农.基于动网格井巷活塞风影响因素数值模拟研究[J].中国矿业,2015,24(8):110-114.
[11]李炎.铁路隧道列车活塞风特性分析及理论研究[D].兰州:兰州交通大学,2010.