Articles producció científica> Enginyeria Mecànica

Comparison between fully resolved and time-averaged simulations of particle cloud dispersion produced by a violent expiratory event

  • Identification data

    Identifier: imarina:9267369
    Authors:
    Lavrinenko, AkimFabregat, AlexandrePallares, Jordi
    Abstract:
    In this work we compare the DNS results (Fabregat et al. 2021, Fabregat et al. 2021) for a mild cough already reported in the literarure with those obtained with a compressible URANS equations with a k-epsilon turbulence model. In both cases, the dispersed phase has been modelled as spherical Lagrangian particles using the one-way coupling assumption. Overall, the URANS model is capable of reproducing the observed tendency of light particles under 64 mu m in diameter to rise due to the action of the drag exerted by the buoyant puff generated by the cough. Both DNS and URANS found that particles above 64 mu m will tend to describe parabolic trajectories under the action of gravitational forces. Grid independence analysis allows to qualify the impact of increasing mesh resolution on the particle cloud statistics as flow evolves. Results suggest that the k-epsilon model overpredicts the horizontal displacement of the particles smaller than 64 mu m while the opposite occurs for the particles larger than 64 mu m.
  • Others:

    Author, as appears in the article.: Lavrinenko, Akim; Fabregat, Alexandre; Pallares, Jordi;
    Department: Enginyeria Mecànica
    URV's Author/s: Fabregat Tomàs, Alexandre / Lavrinenko, Akim / Pallarés Curto, Jorge María
    Keywords: Urans Speech Lagrangian particle tracking Evaporation Droplets Dns Covid-19 Cough Cfd Aerosol dispersion
    Abstract: In this work we compare the DNS results (Fabregat et al. 2021, Fabregat et al. 2021) for a mild cough already reported in the literarure with those obtained with a compressible URANS equations with a k-epsilon turbulence model. In both cases, the dispersed phase has been modelled as spherical Lagrangian particles using the one-way coupling assumption. Overall, the URANS model is capable of reproducing the observed tendency of light particles under 64 mu m in diameter to rise due to the action of the drag exerted by the buoyant puff generated by the cough. Both DNS and URANS found that particles above 64 mu m will tend to describe parabolic trajectories under the action of gravitational forces. Grid independence analysis allows to qualify the impact of increasing mesh resolution on the particle cloud statistics as flow evolves. Results suggest that the k-epsilon model overpredicts the horizontal displacement of the particles smaller than 64 mu m while the opposite occurs for the particles larger than 64 mu m.
    Thematic Areas: Mechanics Mechanical engineering Engineering, mechanical Computational mechanics
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: akim.lavrinenko@urv.cat alexandre.fabregat@urv.cat jordi.pallares@urv.cat
    Author identifier: 0000-0002-6032-2605 0000-0003-0305-2714
    Record's date: 2024-09-07
    Papper version: info:eu-repo/semantics/publishedVersion
    Link to the original source: https://link.springer.com/article/10.1007/s10409-022-09032-x
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Acta Mechanica Sinica. 38 (8):
    APA: Lavrinenko, Akim; Fabregat, Alexandre; Pallares, Jordi; (2022). Comparison between fully resolved and time-averaged simulations of particle cloud dispersion produced by a violent expiratory event. Acta Mechanica Sinica, 38(8), -. DOI: 10.1007/s10409-022-09032-x
    Article's DOI: 10.1007/s10409-022-09032-x
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2022
    Publication Type: Journal Publications
  • Keywords:

    Computational Mechanics,Engineering, Mechanical,Mechanical Engineering,Mechanics
    Urans
    Speech
    Lagrangian particle tracking
    Evaporation
    Droplets
    Dns
    Covid-19
    Cough
    Cfd
    Aerosol dispersion
    Mechanics
    Mechanical engineering
    Engineering, mechanical
    Computational mechanics
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