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Study on Indoor Air Movement under the Crowding Conditions by Numerical simulations and PIV small-scale Experiments

机译:用数值模拟和PIV小规模实验研究挤置条件下的室内空气运动

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In the mechanical ventilation room, human body will block the air flows and change the original airflow organization. In the crowd places, the influence of the crowd may greatly change the indoor air movement and even worsen the environment. So the effect can not be ignored. The paper studied the influence of the human body to the indoor air movement by using the method of Particle Image Velocimetry (PIV) and numerical simulation (CFD). The PIV experiment and numerical simulation contain two conditions. One condition is an empty room and another contains models of human body in the room. The paper compared the result of experiment and numerical simulation. Numerical simulations are demonstrated to be accurate in the two conditions, and the Standard k-£ model most accurately predicts the flow in a room contains crowd model. In this study, the numerical simulation and measurements show that the crowds will greatly change the air distribution and the residence time of the flows in the building: Therefore, it is important that crowds be considered in ventilation design.
机译:在机械通风的房间,人体阻碍了空气流动和改变原来的气流组织。在人群的地方,人群的影响可能极大地改变室内的空气流动,甚至恶化了环境。所以效果也不容忽视。纸张通过使用粒子图像测速仪(PIV)和数值模拟(CFD)的方法,研究对人体的向室内空气运动的影响。的PIV实验和数值模拟包含两个条件。一种情况是一个空房间,另外含有人体模型在房间里。纸张比较实验和数值模拟的结果。数值模拟证明是在两个条件准确,标准K-£模型最准确地预测在一间流包含人群模型。在这项研究中,数值模拟和测量结果表明,人群将极大地改变空气分配和建筑物内的流动的停留时间:因此,重要的是,在人群通风设计中考虑。

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