Predicting the wall-shear stress and wall pressure through convolutional neural networks
Author:
Publisher
Elsevier BV
Subject
Fluid Flow and Transfer Processes,Mechanical Engineering,Condensed Matter Physics
Reference52 articles.
1. Turbulence intensities in large-eddy simulation of wall-bounded flows;Atzori;Phys. Rev. Fluids,2018
2. Scientific multi-agent reinforcement learning for wall-models of turbulent flows;Bae;Nature Commun.,2022
3. Turbulence intensities in large-eddy simulation of wall-bounded flows;Bae;Phys. Rev. Fluids,2018
4. Deep neural networks for data-driven LES closure models;Beck;J. Comput. Phys.,2019
5. History effects and near equilibrium in adverse-pressure-gradient turbulent boundary layers;Bobke;J. Fluid Mech.,2017
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1. Uncovering wall-shear stress dynamics from neural-network enhanced fluid flow measurements;Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences;2024-06
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