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

Hossain, Mamdud; Faisal, Nadimul Haque



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.


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:

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
Keywords Aerosols; Multiphase flows; Computational fluid dynamics; Aerodynamics; Viruses; COVID-19 virus infection; COVID-19
Public URL


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