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We explore the applicability of MATLAB for 3D computational fluid dynamics(CFD) of shear-driven indoor airflows. A new scale-resolving, large-eddysimulation (LES) solver titled DNSLABIB is proposed for MATLAB utilizinggraphics processing units (GPUs). The solver is first validated against anotherCFD software (OpenFOAM). Next, we demonstrate the solver performance in threeisothermal indoor ventilation configurations and the results are discussed inthe context of airborne transmission of COVID-19. Ventilation in these cases isstudied at both low (0.1 m/s) and high (1 m/s) airflow rates corresponding to$Re=5000$ and $Re=50000$. An analysis of the indoor CO$_2$ concentration iscarried out as the room is emptied from stale, high CO$_2$ content air. Weestimate the air changes per hour (ACH) values for three different roomgeometries and show that the numerical estimates from 3D CFD simulations maydiffer by 80-150 % ($Re=50000$) and 75-140 % ($Re=5000$) from the theoreticalACH value based on the perfect mixing assumption. Additionally, the analysis ofthe CO$_2$ probability distributions (PDFs) indicates a relatively non-uniformdistribution of fresh air indoors. Finally, utilizing a time-dependentWells-Riley analysis, an example is provided on the growth of the cumulativeinfection risk being reduced rapidly after the ventilation is started. Theaverage infection risk is shown to reduce by a factor of 2 for lowerventilation rates (ACH=3.4-6.3) and 10 for the higher ventilation rates(ACH=37-64). The results indicate a high potential for DNSLABIB in variousfuture developments on airflow prediction.

A GPU-accelerated computational fluid dynamics solver for assessing shear-driven indoor airflow and virus transmission by scale-resolved simulations