Numerical study of the effect of composition models on cough droplet propagation distributions in confined space

被引:9
|
作者
Wang, Tiantian [1 ,2 ]
Shi, Fushan [1 ]
Shi, Fangcheng [1 ]
Li, Chunhui [3 ]
Zhang, Lei [2 ]
Wang, Jiabin [2 ]
Jiang, Chen [2 ]
Qian, Bosen [2 ]
Dai, Lei [3 ]
Ji, Peng [4 ]
机构
[1] Hunan Univ, Coll Mech & Vehicle Engn, Changsha 410082, Hunan, Peoples R China
[2] Cent South Univ, Sch Traff & Transportat Engn, Key Lab Traff Safety Track, Minist Educ, Changsha 410075, Peoples R China
[3] Cent South Univ, Xiangya Hosp, Changsha 410008, Peoples R China
[4] Hunan Univ, Sch Designg, Changsha 410082, Hunan, Peoples R China
基金
中国国家自然科学基金;
关键词
Virus propagation; Computational fluid dynamic; Droplet compositions; Human thermal plume; Transient cough; EVAPORATION; DISPERSION; SPREAD;
D O I
10.1016/j.buildenv.2023.110117
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The compositional models currently used for cough droplet transport and dispersion simulations typically consider water and inorganic salts, ignoring the organics in the droplets. In this study, an organics-ignoring twocomposition model and an organics-containing three-composition model of cough droplets are investigated. Computational fluid dynamic (CFD) numerical simulations are conducted to compare the dispersions in the two compositional droplet models under the effect of transient cough jets, and the influences of the compositional model on the transport of cough droplets are revealed. The results show that in the range of 5-50 mu m, the two compositional droplet models have essentially the same droplet transport. However, in the range of 50-130 mu m, the two models show significant differences in terms of the droplet distribution. The three-composition droplet model has a shorter sedimentation time and fewer suspended droplets than the two-composition model. Therefore, to accurately track the transport process of cough droplets, the organics-containing three-composition droplet model should be used in relevant research. The results of this study provide a scientific basis for accurately predicting the risk of cough droplet propagation and contribute to the development of rational epidemic prevention measures.
引用
收藏
页数:10
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