Modeling aerosol cloud aerodynamics during human coughing, talking, and breathing actions.

Hossain, Mamdud; Faisal, Nadimul Haque

Abstract

In this paper, we investigate the aerosol cloud flow physics during three respiratory actions by humans (such as coughing, talking, and breathing). With given variables (i.e., velocity, duration, particle size and number of particles, and ambient conditions), the standoff safe distance during coughing, talking, and breathing should be the distance where virus-laden droplets and aerosols do not have significant transmission to another person. However, at a critical distance, the aerosol cloud flux can still be extremely high, which can immediately raise the transmission in a localized area to another person during a static condition. In this study, computational fluid dynamics analysis of selective respiratory actions has been carried out to investigate the effect of the standoff distance and assess the importance of social distancing in indoor places. The prediction of the aerosol transport due to flow generated from coughing, talking, and breathing was obtained by applying the Eulerian-Lagrangian approach. From the simulation results, it can be concluded that the aerosols released due to continuous talking travel a similar distance to that released due to sudden coughing. On the other hand, aerosols exhaled from breathing do not travel a long distance but float in air for a long time.

Citation

HOSSAIN, M. and FAISAL, N.H. 2021. Modeling aerosol cloud aerodynamics during human coughing, talking, and breathing actions. AIP advances [online], 11(4), article 045111. Available from: https://doi.org/10.1063/5.0042952

• Journal Article Type: Article
• Acceptance Date: Feb 24, 2021
• Online Publication Date: Apr 6, 2021
• Publication Date: Apr 30, 2021
• Deposit Date: Apr 6, 2021
• Publicly Available Date: Apr 6, 2021
• Journal: AIP Advances
• Electronic ISSN: 2158-3226
• Publisher: AIP Publishing
• Peer Reviewed: Peer Reviewed
• Volume: 11
• Issue: 4
• Article Number: 045111
• DOI: https://doi.org/10.1063/5.0042952
• Keywords: Aerosols; Multiphase flows; Computational fluid dynamics; Aerodynamics; Viruses; COVID-19 virus infection; COVID-19
• Public URL: https://rgu-repository.worktribe.com/output/1299529