Numerical simulation and predictive modeling of an inextensible filament in two-dimensional viscous shear flow using the immersed boundary/coarse-graining method and artificial neural networks
DOI10.1016/J.CMA.2022.115589OpenAlexW4296536337MaRDI QIDQ2096822
Panayiotis Papadopoulos, Magdalini Ntetsika
Publication date: 11 November 2022
Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cma.2022.115589
artificial neural networksfluid-structure interactionimmersed boundary methodcoarse-graininglow-Reynolds number flowinextensible filaments
Fluid-solid interactions (including aero- and hydro-elasticity, porosity, etc.) (74F10) Mathematical modeling or simulation for problems pertaining to mechanics of deformable solids (74-10)
Uses Software
Cites Work
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