Institute of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing, 100044, China.
Key Laboratory of Urban Spatial Information, Ministry of Natural Resources, KLUSI, Beijing, 100044, China.
Sci Rep. 2024 Jun 19;14(1):14150. doi: 10.1038/s41598-024-64026-3.
Coronaviruses being capable of spreading through droplet contamination have raised significant concerns regarding high-capacity public rail transport, such as the metro. Within a rapidly moving railcar cabin, the internal airflow lags behind the bulkhead, generating internally induced airflow that accelerates droplet dispersion within a non-inertial reference system. This study investigates the impact of acceleration on the diffusion of cough droplets of varying sizes using computational fluid dynamics. The modified k-ε equation in ANSYS® Fluent was utilized to simulate droplet diffusion under different body orientations by adjusting the inertial force correction source term. Results indicate that droplets in the middle size range (50-175 μm) are primarily influenced by inertial forces, whereas smaller droplets (3.5-20 μm) are predominantly controlled by air drag forces. Regardless of facial orientation, the outlet of high-capacity public rail transport poses the highest risk of infection.
冠状病毒能够通过飞沫污染传播,这使得人们对大容量公共轨道交通(如地铁)产生了极大的担忧。在快速移动的轨道车车厢内,内部气流滞后于隔板,产生内部诱导气流,从而在非惯性参考系中加速飞沫的扩散。本研究使用计算流体动力学(CFD)研究了加速度对不同大小咳嗽飞沫扩散的影响。通过调整惯性力修正源项,利用 ANSYS® Fluent 中的修正 k-ε 方程来模拟不同体位下的飞沫扩散。结果表明,中等大小(50-175μm)的飞沫主要受惯性力影响,而较小的飞沫(3.5-20μm)主要受空气阻力控制。无论面部朝向如何,大容量公共轨道交通的出口处感染风险最高。