About: Experimental measurements and large eddy simulation of expiratory droplet dispersion in a mechanically ventilated enclosure with thermal effects

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Experimental measurements and large eddy simulation of expiratory droplet dispersion in a mechanically ventilated enclosure with thermal effects
Creator	Wong, S Berrouk, Abdallah Cheung, Albert Lai, Alvin
Source	Elsevier; Medline; PMC
abstract	Understanding of droplet transport in indoor environments with thermal effects is very important to comprehend the airborne pathogen infection through expiratory droplets. In this work, a well-resolved Large Eddy Simulation (LES) was performed to compute the concentration profiles of monodisperse aerosols in non-isothermal low-Reynolds turbulent flow taking place in an enclosed environment. Good care was taken to ensure that the main dynamical features of the continuous phase were captured by the present LES. The particle phase was studied in both Lagrangian and Eulerian frameworks. Steady temperature and velocity were measured prior to droplet emission. Evolution of aerosol concentration was measured by a particle counter. Results of the present LES were to compare reasonably well with the experimental findings for both phases.
has issue date	2009-06-26(xsd:dateTime)
bibo:doi	10.1016/j.buildenv.2009.06.016
bibo:pmid	32288007
has license	no-cc
sha1sum (hex)	407e71a7282f267825b818473ed846fe280cc79a
schema:url	https://doi.org/10.1016/j.buildenv.2009.06.016
resource representing a document's title	Experimental measurements and large eddy simulation of expiratory droplet dispersion in a mechanically ventilated enclosure with thermal effects
has PubMed Central identifier	PMC7127197
has PubMed identifier	32288007
schema:publication	Build Environ
resource representing a document's body	covid:407e71a7282f267825b818473ed846fe280cc79a#body_text
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