Department of Construction Science and Management, Clemson University, Clemson, SC, USA.
Center for the Built Environment, University of California, Berkeley, CA, USA.
Indoor Air. 2021 Mar;31(2):587-601. doi: 10.1111/ina.12735. Epub 2020 Sep 14.
Human activity is known to leave significant effects on indoor airflow patterns. These patterns are carefully designed for many facilities such as cleanrooms, pharmaceutical settings, and healthcare environments, where human-induced wakes contribute to the transport of contaminants. Therefore, the knowledge about these wakes as it relates to indoor air quality is critical. As a result, a series of experiments were conducted in a controlled chamber to study the three-dimensional effects of true human walking on airflow. Experiments were designed to capture the effect of human walking under three different flow conditions, and for two different walking schemes. The results show that the effect of walking on the airflow is not negligible and can sustain up to 10 seconds after the moving body has passed. Walking on a straight line creates significant change in the velocity normal to the walking path and vertical to the plane of walking movement. These changes were detectable till 1.0 m away from the walking track. Also, the similarity between airflow patterns of walking once and twice illustrated a promising opportunity of predicting the flow patterns of random walk from a set of base cases.
众所周知，人类活动会对室内气流模式产生重大影响。这些模式是为许多设施精心设计的，例如洁净室、制药环境和医疗保健环境，在这些环境中，人体诱导的尾流有助于污染物的传播。因此，了解这些尾流与室内空气质量的关系至关重要。为此，在一个可控室内进行了一系列实验，以研究真实人类行走对气流的三维影响。实验旨在捕捉三种不同流动条件下和两种不同行走方案下人类行走的影响。结果表明，行走对气流的影响不可忽视，在移动体通过后可持续长达 10 秒。直线行走会导致垂直于行走路径和行走运动平面的法向速度发生显著变化。这些变化在离行走轨道 1.0 米远的地方仍然可以检测到。此外，行走一次和两次的气流模式之间的相似性表明，从一组基本情况下预测随机行走的流型具有很大的潜力。
