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dc.contributor.authorOwolabi, Jibola Obafemi
dc.contributor.authorDhar, Sushmit
dc.contributor.authorMuhammed, Manaf
dc.contributor.authorKhawaja, Hassan Abbas
dc.contributor.authorAganovic, Amar
dc.contributor.authorVirk, Muhammad Shakeel
dc.date.accessioned2024-01-05T12:28:56Z
dc.date.available2024-01-05T12:28:56Z
dc.date.issued2023-12
dc.description.abstractThe dispersion of respiratory aerosol particles in enclosed environments poses a significant challenge to understanding the transmission of airborne infectious diseases, mainly due to the influence of turbulence on the propagation of aerosol particles. Turbulence, with its complex and chaotic nature, is a prevailing phenomenon in a fluid flow. Four widely used Reynolds-Averaged Navier-Stokes (RANS) turbulence models—Standard k-epsilon, RNG k-epsilon, Realizable k-epsilon, and SST k-omega incorporate empirical relationships and assumptions to approximate turbulent quantities. This study investigates these models' applicability and limitations in airflow dispersion in an enclosed space. The study has two parts. Firstly, Particle Image Velocimetry (PIV) analysis in an enclosed domain will be conducted across a range of velocities. Secondly, a computational fluid dynamics model based on RANS with different turbulence models will be setup for simulation. By comparing the experimental data and numerical simulations, we aim to comprehensively examine the accuracy of RANS turbulence models in capturing the behavior of turbulent flows. This research serves as a preliminary study toward understanding the transmission dynamics of bioaerosols, such as virus-laden droplets, in ventilated indoor environments.en_US
dc.descriptionPoster presentation at The International Society of Multiphysics conference 2023, 14.12.23 - 15.12.23, Graz, Austria.en_US
dc.identifier.cristinIDFRIDAID 2215917
dc.identifier.urihttps://hdl.handle.net/10037/32350
dc.language.isoengen_US
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2023 The Author(s)en_US
dc.titleInvestigating RANS Turbulence Models for Predicting Airflow Dispersion in Enclosed Environments: Numerical Simulation and Experimental Validationen_US
dc.typeConference objecten_US
dc.typeKonferansebidragen_US


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