Data-driven prediction of the equivalent sand-grain height in rough-wall turbulent flows
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Publication:5857953
DOI10.1017/jfm.2020.1085zbMath1461.76301arXiv2002.01515OpenAlexW3126995407MaRDI QIDQ5857953
Michael S. Murillo, Giles J. Brereton, Junlin Yuan, Mostafa Aghaei Jouybari
Publication date: 8 April 2021
Published in: Journal of Fluid Mechanics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2002.01515
Related Items (5)
High-resolution fluid–particle interactions: a machine learning approach ⋮ Direct numerical simulation-based characterization of pseudo-random roughness in minimal channels ⋮ Tempered fractional LES modeling ⋮ Predicting drag on rough surfaces by transfer learning of empirical correlations ⋮ Supersonic turbulent flows over sinusoidal rough walls
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