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PMID: 33758453 Published · aheadofprint English Journal Article

Can CFD establish a connection to a milder COVID-19 disease in younger people? Aerosol deposition in lungs of different age groups based on Lagrangian particle tracking in turbulent flow.

Computational mechanics ·2021-03-19 ·页码 1-17

Wedel J, Steinmann P, Štrakl M, Hriberšek M, Ravnik J

Abstract

To respond to the ongoing pandemic of SARS-CoV-2, this contribution deals with recently highlighted COVID-19 transmission through respiratory droplets in form of aerosols. Unlike other recent studies that focused on airborne transmission routes, this work addresses aerosol transport and deposition in a human respiratory tract. The contribution therefore conducts a computational study of aerosol deposition in digital replicas of human airways, which include the oral cavity, larynx and tracheobronchial airways down to the 12th generation of branching. Breathing through the oral cavity allows the air with aerosols to directly impact the larynx and tracheobronchial airways and can be viewed as one of the worst cases in terms of inhalation rate and aerosol load. The implemented computational model is based on Lagrangian particle tracking in Reynolds-Averaged Navier-Stokes resolved turbulent flow. Within this framework, the effects of different flow rates, particle diameters and lung sizes are investigated to enable new insights into local particle deposition behavior and therefore virus loads among selected age groups. We identify a signicant increase of aerosol deposition in the upper airways and thus a strong reduction of virus load in the lower airways for younger individuals. Based on our findings, we propose a possible relation between the younger age related fluid mechanical protection of the lower lung regions due to the airway size and a reduced risk of developing a severe respiratory illness originating from COVID-19 airborne transmission.

Keywords
Aerosol CFD OpenFOAM SARS-CoV-2
作者与单位
共 5 位作者,点击展开单位 / ORCID
Wedel Jana
Institute of Applied Mechanics, University of Erlangen-Nuremberg, Erlangen, Germany.
Steinmann Paul
Institute of Applied Mechanics, University of Erlangen-Nuremberg, Erlangen, Germany. | Glasgow Computational Engineering Center, University of Glasgow, Glasgow, Scotland.
Štrakl Mitja
Faculty of Mechanical Engineering, University of Maribor, Maribor, Slovenia.
Hriberšek Matjaž
Faculty of Mechanical Engineering, University of Maribor, Maribor, Slovenia.
Ravnik Jure
Faculty of Mechanical Engineering, University of Maribor, Maribor, Slovenia.
Article Info
Journal
Computational mechanics
Abbr.
Comput Mech
ISSN
0178-7675
Published
2021-03-19
电子出版
2021-00-19
页码
1-17
Language
English
Country/Region
Germany
NLM ID
9883520
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