Coupled Eulerian Wall Film–Discrete Phase model for predicting respiratory droplet generation during a coughing event
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- グエン ダン コア
- 九州大学大学院総合理工学府
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- 久我, 一喜
- 九州大学大学院総合理工学研究院
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- Inthavong, Kiao
- School of Engineering, Mechanical and Automotive, RMIT University
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- 伊藤, 一秀
- 九州大学大学院総合理工学研究院
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説明
Infectious respiratory diseases have long been a serious public health issue, with airborne transmission via close person-to-person contact being the main infection route. Coughing episodes are an eruptive source of virus-laden droplets that increase the infection risk of susceptible individuals. In this study, the droplet generation process during a coughing event was reproduced using the Eulerian wall film (EWF) model, and the absorption/expulsion of droplets was tracked using the discrete phase model (DPM). A realistic numerical model that included the oral cavity with teeth features and the respiratory system from the throat to the first bifurcation was developed. A coughing flow profile simulated the flow patterns of a single coughing episode. The EWF and DPM models were coupled to predict the droplet formation, generation, absorption, and exhalation processes. The results showed that a large droplet number concentration was generated at the beginning of the coughing event, with the peak concentration coinciding with the peak cough rate. Analysis of the droplet site of origin showed that large amounts of droplets were generated in the oral cavity and teeth surface, followed by the caudal region of the respiratory system. The size of the expelled droplets was 0.25–24 μm, with the peak concentration at 4–8 μm. This study significantly contributes to the realm on the site of origin and localized number concentration of droplets after a coughing episode. It can facilitate studies on infection risk assessment, droplet dispersion, and droplet generation mechanisms from other sneezing or phonation activities.
収録刊行物
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- Physics of Fluids
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Physics of Fluids 35 112103-, 2023-11-09
American Institute of Physics : AIP
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詳細情報 詳細情報について
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- CRID
- 1050581456521919616
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- NII書誌ID
- AA10986202
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- ISSN
- 10897666
- 10706631
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- HANDLE
- 2324/7174458
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- 本文言語コード
- en
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- 資料種別
- journal article
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- データソース種別
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- IRDB