수치해석을 이용한 철도차량 승객의 토출 비말입자 거동분석

초록

Using computational fluid dynamics (CFD), this study simulated the air supply and exhaust conditions inside KTXSancheontrain cabin to analyze the airflow, velocity, temperature, and residence time distributions. Based on theanalyzed airflow in the cabin, the trajectory properties of droplets with various diameters exhaled from a passengerin a specific seat were analyzed. In the train cabin, forced airflow was formed by the operation of an airconditioning unit, while air stagnation occurred through spinning vortices at the front and rear where there wereno floor outlets. Droplet particles ≤36 μm in diameter were dispersed throughout the cabin following the airflowgenerated by the air conditioning unit. The degree of dispersion differed according to the passenger seat location. In addition, the expelled droplets were mostly deposited on the surfaces of passenger bodies, seats, and floor. Theratio of deposited droplets to suspended droplets was increased with increasing droplet size. Further, the CFD studyallowed the prediction of the possibility of exposure to exhaled droplets by estimating the dispersion and depositionproperties of droplets released from a passenger in a specific seat. This study can be utilized to adjust the operationof air conditioning units and encourage the installation of air-purifying units to minimize secondary infections

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