A numerical approach for preventing the dispersion of infectious disease in a meeting room
Abstract Airborne transmission of respiratory aerosols carrying infectious viruses has generated many concerns about cross-contamination risks, particularly in indoor environments. ANSYS Fluent software has been used to investigate the dispersion of the viral particles generated during a coughing ev...
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Format: | Article |
Language: | English |
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Nature Portfolio
2022-10-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-022-21161-z |
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author | Mahdi Ahmadzadeh Mehrzad Shams |
author_facet | Mahdi Ahmadzadeh Mehrzad Shams |
author_sort | Mahdi Ahmadzadeh |
collection | DOAJ |
description | Abstract Airborne transmission of respiratory aerosols carrying infectious viruses has generated many concerns about cross-contamination risks, particularly in indoor environments. ANSYS Fluent software has been used to investigate the dispersion of the viral particles generated during a coughing event and their transport dynamics inside a safe social-distance meeting room. Computational fluid dynamics based on coupled Eulerian–Lagrangian techniques are used to explore the characteristics of the airflow field in the domain. The main objective of this study is to investigate the effects of the window opening frequency, exhaust layouts, and the location of the air conditioner systems on the dispersion of the particles. The results show that reducing the output capacity by raising the concentration of suspended particles and increasing their traveled distance caused a growth in the individuals' exposure to contaminants. Moreover, decreasing the distance between the ventilation systems installed location and the ceiling can drop the fraction of the suspended particles by over 35%, and the number of individuals who are subjected to becoming infected by viral particles drops from 6 to 2. As well, the results demonstrated when the direction of input airflow and generated particles were the same, the fraction of suspended particles of 4.125%, whereas if the inputs were shifted to the opposite direction of particle injection, the fraction of particles in fluid increased by 5.000%. |
first_indexed | 2024-04-12T12:47:49Z |
format | Article |
id | doaj.art-07b86952bd4544aca3dc84bb7aa915e7 |
institution | Directory Open Access Journal |
issn | 2045-2322 |
language | English |
last_indexed | 2024-04-12T12:47:49Z |
publishDate | 2022-10-01 |
publisher | Nature Portfolio |
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series | Scientific Reports |
spelling | doaj.art-07b86952bd4544aca3dc84bb7aa915e72022-12-22T03:32:34ZengNature PortfolioScientific Reports2045-23222022-10-0112112510.1038/s41598-022-21161-zA numerical approach for preventing the dispersion of infectious disease in a meeting roomMahdi Ahmadzadeh0Mehrzad Shams1Faculty of Mechanical Engineering, K. N. Toosi University of TechnologyFaculty of Mechanical Engineering, K. N. Toosi University of TechnologyAbstract Airborne transmission of respiratory aerosols carrying infectious viruses has generated many concerns about cross-contamination risks, particularly in indoor environments. ANSYS Fluent software has been used to investigate the dispersion of the viral particles generated during a coughing event and their transport dynamics inside a safe social-distance meeting room. Computational fluid dynamics based on coupled Eulerian–Lagrangian techniques are used to explore the characteristics of the airflow field in the domain. The main objective of this study is to investigate the effects of the window opening frequency, exhaust layouts, and the location of the air conditioner systems on the dispersion of the particles. The results show that reducing the output capacity by raising the concentration of suspended particles and increasing their traveled distance caused a growth in the individuals' exposure to contaminants. Moreover, decreasing the distance between the ventilation systems installed location and the ceiling can drop the fraction of the suspended particles by over 35%, and the number of individuals who are subjected to becoming infected by viral particles drops from 6 to 2. As well, the results demonstrated when the direction of input airflow and generated particles were the same, the fraction of suspended particles of 4.125%, whereas if the inputs were shifted to the opposite direction of particle injection, the fraction of particles in fluid increased by 5.000%.https://doi.org/10.1038/s41598-022-21161-z |
spellingShingle | Mahdi Ahmadzadeh Mehrzad Shams A numerical approach for preventing the dispersion of infectious disease in a meeting room Scientific Reports |
title | A numerical approach for preventing the dispersion of infectious disease in a meeting room |
title_full | A numerical approach for preventing the dispersion of infectious disease in a meeting room |
title_fullStr | A numerical approach for preventing the dispersion of infectious disease in a meeting room |
title_full_unstemmed | A numerical approach for preventing the dispersion of infectious disease in a meeting room |
title_short | A numerical approach for preventing the dispersion of infectious disease in a meeting room |
title_sort | numerical approach for preventing the dispersion of infectious disease in a meeting room |
url | https://doi.org/10.1038/s41598-022-21161-z |
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