2022
DOI: 10.1017/jfm.2022.174
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High-resolution fluid–particle interactions: a machine learning approach

Abstract: Modelling of fluid–particle interactions is a major area of research in many fields of science and engineering. There are several techniques that allow modelling of such interactions, among which the coupling of computational fluid dynamics (CFD) and the discrete element method (DEM) is one of the most convenient solutions due to the balance between accuracy and computational costs. However, the accuracy of this method is largely dependent upon mesh size, where obtaining realistic results always comes with the… Show more

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Cited by 15 publications
(1 citation statement)
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“…References to all data that was used in this study are compiled in Supporting Information (Table S1, S2, and S4). Data Sets S1–S3 are available at Zenodo public repository (Davydzenka et al., 2023, https://doi.org/10.5281/zenodo.10223637).…”
Section: Data Availability Statementmentioning
confidence: 99%
“…References to all data that was used in this study are compiled in Supporting Information (Table S1, S2, and S4). Data Sets S1–S3 are available at Zenodo public repository (Davydzenka et al., 2023, https://doi.org/10.5281/zenodo.10223637).…”
Section: Data Availability Statementmentioning
confidence: 99%