Effect of Sneezing on the Flow Around the Face Shield

Akagi, Fujio; Haraga, Isao; Inage, Shin‐ichi; Akiyoshi, Kozaburo

doi:10.1299/jsmefed.2020.os03-16

Cited by 1 publication

(2 citation statements)

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“…Thus, an attempt was made to reproduce the transient jet airflow of a cough by exploring the boundary conditions of the CFD simulations from the results of the PIV experiment 10 . Several studies tried to investigate the effect of face shields on infectious particles generated by sneezing has been studied 25–27 . Ugarte–Anero assumed that the sneeze airflow had a constant speed of 16 m/s for a duration of 0.4 s 25 .…”

Section: Introductionmentioning

confidence: 99%

“…10 Several studies tried to investigate the effect of face shields on infectious particles generated by sneezing has been studied. [25][26][27] Ugarte-Anero assumed that the sneeze airflow had a constant speed of 16 m/s for a duration of 0.4 s. 25 Akagi et al used the gamma probability distribution of coughing derived by Gupta et al for sneeze simulation. 26,27 Fontes et al assumed that the sneeze airflow had a maximum velocity of 50 m/s in the numerical simulation of particle dispersion.…”

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Numerical modeling of sneeze airflow and its validation with an experimental dataset

Ooka

Kikumoto

et al. 2022

Indoor Air

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In this study, we aimed at providing datasets using experimental results to validate the sneeze airflow. In addition, the boundary conditions for the sneeze simulation that could reproduce the sneeze airflow in the experimental results are presented and reviewed. The validation datasets were created by performing ensemble‐average analysis with the experimental results of particle image velocimetry, and these were used to explore the boundary conditions to reproduce the sneeze airflow. As a result of the sneeze airflow reproduced by computational fluid dynamics simulation, the magnitude ranges of maximum velocity at the interface were observed to be 21.1–23.9 m/s for males and 17.9–20.3 m/s for females, which were higher than those of coughing. Compared with the experimental results, the root‐mean‐square error range for the overall airflow distribution was 0.19–0.23 m/s, whereas the error range for the magnitude of the maximum velocity at a criterion point was 0.03–0.08 m/s. The total sneezing airflow volume was in the range of 0.36–0.48 L, which was relatively low compared with that of coughing. Thus, this study provides important fundamental boundary conditions for computational fluid dynamics analysis, validated by experimental results, to interpret the spread of infectious particles by sneezing.

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Section: Introductionmentioning

confidence: 99%