Abstract
The new coronavirus (COVID-19) is spread by droplets and droplet nuclei generated by human coughs, sneezes, and conversations. In order to prevent infection, it is important to accurately predict the scattering behavior of droplets and droplet nuclei by numerical analysis. So far, a lot of numerical simulation using velocity profiles of exhaled air by a spirometer and flow velocity measurements at the mouth by PIV (Particle Image Velocimetry) have been reported. However, there is few cases in which simulation results have been compared and verified with actual measured flow velocity fields. In this study, we have developed a numerical simulation model that reproduces the actual measurements by visualizing coughs emitted by humans using a CW (continuous wave) laser and a high-speed camera, performing PIV analysis, and comparing the arrival distance of the measured cough airflow. In addition, as an application of the numerical model, droplet and droplet nucleus transport have been evaluated considering the effect of partitions.
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