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dc.contributor.authorChillón, Sergio
dc.contributor.authorUgarte Anero, Ainara
dc.contributor.authorAramendia Iradi, Iñigo
dc.contributor.authorFernández Gámiz, Unai
dc.contributor.authorZulueta Guerrero, Ekaitz
dc.date.accessioned2021-03-15T13:02:32Z
dc.date.available2021-03-15T13:02:32Z
dc.date.issued2021-03-08
dc.identifier.citationMathematics 9(5) : (2021) // Article ID 574es_ES
dc.identifier.issn2227-7390
dc.identifier.urihttp://hdl.handle.net/10810/50637
dc.description.abstractThe coronavirus disease 2019 (COVID-19) outbreak has altered the lives of everyone on a global scale due to its high transmission rate. In the current work, the droplet dispersion and evaporation originated by a cough at different velocities is studied. A multiphase computational fluid dynamic model based on fully coupled Eulerian–Lagrangian techniques was used. The evaporation, breakup, mass transfer, phase change, and turbulent dispersion forces of droplets were taken into account. A computational domain imitating an elevator that with two individuals inside was modeled. The results showed that all droplets smaller than 150 μm evaporate before 10 s at different heights. Smaller droplets of <30 µm evaporate quickly, and their trajectories are governed by Brownian movements. Instead, the trajectories of medium-sized droplets (30–80 µm) are under the influence of inertial forces, while bigger droplets move according to inertial and gravitational forces. Smaller droplets are located in the top positions, while larger (i.e., heaviest) droplets are located at the bottom.es_ES
dc.description.sponsorshipThe authors appreciate the support to the government of the Basque Country through research programs Grants N. ELKARTEK 20/71 and ELKARTEK 20/78.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/
dc.subjectCOVID-19es_ES
dc.subjectcough droplet dispersiones_ES
dc.subjectairborne transmissiones_ES
dc.subjectcomputational fluid dynamics (CFD)es_ES
dc.titleNumerical Modeling of the Spread of Cough Saliva Droplets in a Calm Confined Spacees_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.date.updated2021-03-12T14:40:33Z
dc.rights.holder2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).es_ES
dc.relation.publisherversionhttps://www.mdpi.com/2227-7390/9/5/574/htmes_ES
dc.identifier.doi10.3390/math9050574
dc.departamentoesIngeniería nuclear y mecánica de fluidos
dc.departamentoesIngeniería de sistemas y automática
dc.departamentoeuIngeniaritza nuklearra eta jariakinen mekanika
dc.departamentoeuSistemen ingeniaritza eta automatika


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2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Except where otherwise noted, this item's license is described as 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).