Print Email Facebook Twitter TU Delft COVID-app Title TU Delft COVID-app: A tool to democratize CFD simulations for SARS-CoV-2 infection risk analysis Author Engler Faleiros, D. (TU Delft Transport Engineering and Logistics) van den Bos, W. (TU Delft Transport Engineering and Logistics; SDC Verifier) Botto, L. (TU Delft Complex Fluid Processing) Scarano, F. (TU Delft Aerodynamics) Date 2022 Abstract This work describes a modelling approach to SARS-CoV-2 dispersion based on experiments. The main goal is the development of an application integrated in Ansys Fluent to enable computational fluid dynamics (CFD) users to set up, in a relatively short time, complex simulations of virion-laden droplet dispersion for calculating the probability of SARS-CoV-2 infection in real life scenarios. The software application, referred to as TU Delft COVID-app, includes the modelling of human expiratory activities, unsteady and turbulent convection, droplet evaporation and thermal coupling. Data describing human expiratory activities have been obtained from selected studies involving measurements of the expelled droplets and the air flow during coughing, sneezing and breathing. Particle Image Velocimetry (PIV) measurements of the transient air flow expelled by a person while reciting a speech have been conducted with and without a surgical mask. The instantaneous velocity fields from PIV are used to determine the velocity flow rates used in the numerical simulations, while the average velocity fields are used for validation. Furthermore, the effect of surgical masks and N95 respirators on particle filtration and the probability of SARS-CoV-2 infection from a dose-response model have also been implemented in the application. Finally, the work includes a case-study of SARS-CoV-2 infection risk analysis during a conversation across a dining/meeting table that demonstrates the capability of the newly developed application. Subject ApplicationCOVID-19 simulationCOVID-appInfection probabilitySARS-CoV-2 dispersionUnsteady speaking To reference this document use: http://resolver.tudelft.nl/uuid:60b9f1c9-ab1d-4e27-97f4-4a1177e95501 DOI https://doi.org/10.1016/j.scitotenv.2022.154143 ISSN 0048-9697 Source Science of the Total Environment, 826 Part of collection Institutional Repository Document type journal article Rights © 2022 D. Engler Faleiros, W. van den Bos, L. Botto, F. Scarano Files PDF 1_s2.0_S0048969722012359_main_1.pdf 4.52 MB Close viewer /islandora/object/uuid:60b9f1c9-ab1d-4e27-97f4-4a1177e95501/datastream/OBJ/view