旅客列车硬座车厢内气流模拟与浓度场分析

采用稳态不可压缩雷诺时均N-S方程、k-ε湍流模型,对旅客列车空调硬座车厢内气流场和浓度场进行了数值计算。采用立方体代表旅客,以人体呼出的CO2作为代表性污染物,研究了非空载下车厢内气流和浓度分布。计算结果表明：现有的送风方式除车厢两端外,车厢内沿长度方向气流分布比较均匀;人体散热和太阳辐射对车厢内流场温度场影响较大,非空载时车厢内流场分布与空载时有较大差别,太阳照射和人体产生的热气流使车厢内存在较大的温度梯度;车厢内过道区浓度较低,但座位区由于人员集中,人体呼吸区污染物积聚,浓度偏高,且车厢中部断面污染

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Based on steady state incompressible model, the three-dimension airflow and concentration fields Reynolds-averaged Navier-Stokes equation, turbulence in passenger car are calculated numerically. Regarding passengers as cubes and the exhalant CO2 as representative contaminant respectively, the airflow and concentration distributions are investigated in non-empty state. The results show that existing sew supply modes make the airflow distribution hgmogeneous except for the ends. Body heat and solar radiation have much influence on airflow and temperature fields. The air distribution in occupied passenger car differs from that in empty one. The heat flux from body heat and solar radiation produces a much big temperature gradient in occupied passenger car. The concentration is low in gangway zone while high in seat zone with crowded passengers. The concentration in middle section is higher than that in end section and contaminant gathers in respiratory region, and the polluted air cant be exchanged effectively in seat zone, which is disadvantageous to air quality in passenger car.