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dc.contributor.author강석구-
dc.date.accessioned2022-09-23T07:01:50Z-
dc.date.available2022-09-23T07:01:50Z-
dc.date.issued2020-12-
dc.identifier.citationAIP ADVANCES, v. 10, no. 12, article no. 125109, page. 1-10en_US
dc.identifier.issn2158-3226en_US
dc.identifier.urihttps://aip.scitation.org/doi/10.1063/5.0035414en_US
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/173796-
dc.description.abstractThe coronavirus disease outbreak of 2019 has been causing significant loss of life and unprecedented economic loss throughout the world. Social distancing and face masks are widely recommended around the globe to protect others and prevent the spread of the virus through breathing, coughing, and sneezing. To expand the scientific underpinnings of such recommendations, we carry out high-fidelity computational fluid dynamics simulations of unprecedented resolution and realism to elucidate the underlying physics of saliva particulate transport during human cough with and without facial masks. Our simulations (a) are carried out under both a stagnant ambient flow (indoor) and a mild unidirectional breeze (outdoor), (b) incorporate the effect of human anatomy on the flow, (c) account for both medical and non-medical grade masks, and (d) consider a wide spectrum of particulate sizes, ranging from 10 mu m to 300 mu m. We show that during indoor coughing some saliva particulates could travel up to 0.48 m, 0.73 m, and 2.62 m for the cases with medical grade, non-medical grade, and without facial masks, respectively. Thus, in indoor environments, either medical or non-medical grade facial masks can successfully limit the spreading of saliva particulates to others. Under outdoor conditions with a unidirectional mild breeze, however, leakage flow through the mask can cause saliva particulates to be entrained into the energetic shear layers around the body and transported very fast at large distances by the turbulent flow, thus limiting the effectiveness of facial masks.en_US
dc.description.sponsorshipThis work was supported by grants from the National Science Foundation (Grant No. EAR-0120914) and a sub-award from the National Institute of Health (Grant No. 2R44ES025070-02). A.K. would like to thank Aram Khosronejad for proofreading and her contributions to enhance the readability of the paper.en_US
dc.language.isoenen_US
dc.publisherAMER INST PHYSICSen_US
dc.titleFluid dynamics simulations show that facial masks can suppress the spread of COVID-19 in indoor environmentsen_US
dc.typeArticleen_US
dc.relation.no12-
dc.relation.volume10-
dc.identifier.doi10.1063/5.0035414en_US
dc.relation.page1-10-
dc.relation.journalAIP ADVANCES-
dc.contributor.googleauthorKhosronejad, Ali-
dc.contributor.googleauthorSantoni, Christian-
dc.contributor.googleauthorFlora, Kevin-
dc.contributor.googleauthorZhang, Zexia-
dc.contributor.googleauthorKang, Seokkoo-
dc.contributor.googleauthorPayabvash, Seyedmehdi-
dc.contributor.googleauthorSotiropoulos, Fotis-
dc.relation.code2020045697-
dc.sector.campusS-
dc.sector.daehakCOLLEGE OF ENGINEERING[S]-
dc.sector.departmentDEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING-
dc.identifier.pidkangsk78-
dc.identifier.orcidhttps://orcid.org/0000-0002-9020-436X-


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