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Title: COVID-19 flow : physics and fluid dynamics
Authors: Chalhoub, Hanna
Advisors: Sabat, Macole 
Keywords: COVID-19, SARS-CoV-2, modeling, computational fluid dynamics, multiphase flow, cough jet, Eulerian-Eulerian, Eulerian-Lagrangian
Subjects: Fluid dynamics
Mechanical engineering
University of Balamand--Dissertations
Dissertations, Academic
Issue Date: 2022
COVID-19 has been declared a global pandemic in March 2020, and since then life hasn’t been the same. It impacted every human’s everyday life and everyone is still learning how to cope with the virus spreading. Scientists were baffled of how the virus is spreading so fast until they confirmed human to human infection was possible.
The actual physical mode of transmission of virus still isn’t fully understood. In order to fully understand the physics and flow dynamics of a cough jet, a numerical and computational study was conducted by the help of ANSYS Fluent which is a commercial computational fluid dynamics (CFD) software. The multiphase gas-liquid flow was simulated using both a Eulerian-Eulerian and a Eulerian-Lagrangian approach and a standard single-phase model. The main purpose of this study verifying if the single-phase model is enough. The SST 𝑘-𝜔 turbulence model was used in this study. Qualitative results were extracted, compared, and analyzed. The single-phase model turned out to be a poor model for this application. Both the Eulerian-Eulerian and the Eulerian-Lagrangian models showed recognizable features of cough jets. Furthermore, the necessity of wearing face masks was proven.
Includes bibliographical references (p. 68-83)
Rights: This object is protected by copyright, and is made available here for research and educational purposes. Permission to reuse, publish, or reproduce the object beyond the personal and educational use exceptions must be obtained from the copyright holder
Ezproxy URL: Link to full text
Type: Thesis
Appears in Collections:UOB Theses and Projects

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