A combination of large eddy simulation and physics-informed machine learning to predict pore-scale flow behaviours in fibrous porous media: a case study of transient flow passing through a surgical mask

DOI10.1016/j.enganabound.2023.01.010zbMath1521.76238OpenAlexW4320178434MaRDI QIDQ6043958

Mehrdad Mesgarpour, Mostafa Safdari Shadloo, Rabeeah Habib, Nader Karimi

Publication date: 25 May 2023

Published in: Engineering Analysis with Boundary Elements (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.enganabound.2023.01.010

zbMATH Keywords

large eddy simulationfibrous porous mediapore-scalephysics-informed machine learning

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Direct numerical and large eddy simulation of turbulence (76F65)

Cites Work

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