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COVID-19 spread in a classroom equipped with partition - A CFD approach.
Mirzaie, Mahshid; Lakzian, Esmail; Khan, Afrasyab; Warkiani, Majid Ebrahimi; Mahian, Omid; Ahmadi, Goodarz.
  • Mirzaie M; Center of Computational Energy, Department of Mechanical Engineering, Hakim Sabzevari University, Sabzevar, Iran.
  • Lakzian E; Center of Computational Energy, Department of Mechanical Engineering, Hakim Sabzevari University, Sabzevar, Iran. Electronic address: e.lakzian@hsu.ac.ir.
  • Khan A; Institute of Engineering and Technology, Department of Hydraulics and Hydraulic and Pneumatic Systems, South Ural State University, Lenin prospect 76, Chelyabinsk, 454080, Russian Federation.
  • Warkiani ME; School of Biomedical Engineering, University of Technology Sydney, Sydney, NSW 2007, Australia.
  • Mahian O; School of Chemical Engineering and Technology, Xi'an Jiaotong University, Xi'an, China.
  • Ahmadi G; Department of Mechanical and Aeronautical Engineering, Clarkson University, Potsdam, NY 13699-5725, USA.
J Hazard Mater ; 420: 126587, 2021 10 15.
Article in English | MEDLINE | ID: covidwho-1307043
ABSTRACT
In this study, the motion and distribution of droplets containing coronaviruses emitted by coughing of an infected person in front of a classroom (e.g., a teacher) were investigated using CFD. A 3D turbulence model was used to simulate the airflow in the classroom, and a Lagrangian particle trajectory analysis method was used to track the droplets. The numerical model was validated and was used to study the effects of ventilation airflow speeds of 3, 5, and 7 m/s on the dispersion of droplets of different sizes. In particular, the effect of installing transparent barriers in front of the seats on reducing the average droplet concentration was examined. The results showed that using the seat partitions for individuals can prevent the infection to a certain extent. An increase in the ventilation air velocity increased the droplets' velocities in the airflow direction, simultaneously reducing the trapping time of the droplets by solid barriers. As expected, in the absence of partitions, the closest seats to the infected person had the highest average droplet concentration (3.80 × 10-8 kg/m3 for the case of 3 m/s).
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Limits: Humans Language: English Journal: J Hazard Mater Journal subject: Environmental Health Year: 2021 Document Type: Article Affiliation country: J.jhazmat.2021.126587

Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Limits: Humans Language: English Journal: J Hazard Mater Journal subject: Environmental Health Year: 2021 Document Type: Article Affiliation country: J.jhazmat.2021.126587