Jordi Pallares (Author), Alexandre Fabregat Tomas (Author), Akim Lavrinenko (Author), Hadifathul Akmal bin Norshamsudin (Author), Gabor Janiga (Author), David Frederick Fletcher (Author), Douglas Hector Fontes (Author), Francisco José De Souza (Author), Cristian Marchioli (Author), Salvatore Cito (Author), Gustavo Raush (Author), Hadrien Calmet (Author), Daniel Mira (Author), Jana Wedel (Author), Mitja Štrakl (Author), Jure Ravnik (Author), Kiao Inthavong (Author), Marina Zasimova (Author), Vladimir Ris (Author), Nikolay Ivanov (Author), Robert Castilla (Author), Pedro Javier Gamez-Montero (Author)

Abstract

This paper presents and discusses the results of the “2022 International Computational Fluid Dynamics Challenge on violent expiratory events” aimed at assessing the ability of different computational codes and turbulence models to reproduce the flow generated by a rapid prototypical exhalation and the dispersion of the aerosol cloud it produces. Given a common flow configuration, a total of 7 research teams from different countries have performed a total of 11 numerical simulations of the flow dispersion by solving the Unsteady Reynolds Averaged Navier–Stokes (URANS) or using the Large-Eddy Simulations (LES) or hybrid (URANS-LES) techniques. The results of each team have been compared with each other and assessed against a Direct Numerical Simulation (DNS) of the exact same flow. The DNS results are used as reference solution to determine the deviation of each modeling approach. The dispersion of both evaporative and non-evaporative particle clouds has been considered in 12 simulations using URANS and LES. Most of the models predict reasonably well the shape and the horizontal and vertical ranges of the buoyant thermal cloud generated by the warm exhalation into an initially quiescent colder ambient. However, the vertical turbulent mixing is generally underpredicted, especially by the URANS-based simulations, independently of the specific turbulence model used (and only to a lesser extent by LES). In comparison to DNS, both approaches are found to overpredict the horizontal range covered by the small particle cloud that tends to remain afloat within the thermal cloud well after the flow injection has ceased.

Keywords

numerične simulacije;računalniška dinamika tekočin;numerical simulations;computational fluid dynamics;

Data

Language: English
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: UM FS - Faculty of Mechanical Engineering
Publisher: American Institute of Physics
UDC: 519.6
COBISS: 153799939 Link will open in a new window
ISSN: 1089-7666
Views: 67
Downloads: 3
Average score: 0 (0 votes)
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Other data

Secondary language: Slovenian
Secondary keywords: numerične simulacije;računalniška dinamika tekočin;
Type (COBISS): Scientific work
Pages: str. 045106-1-045106-22
Volume: ǂVol. ǂ35
Issue: ǂiss. ǂ4, [article no.] 045106
Chronology: April 2023
DOI: 10.1063/5.0143795
ID: 23281720