Data-driven turbulence anisotropy in film and effusion cooling flows
(2023)
Journal Article
Ellis, C., & Xia, H. (2023). Data-driven turbulence anisotropy in film and effusion cooling flows. Physics of Fluids, 35(10), Article 105114. https://doi.org/10.1063/5.0166685
Film and effusion cooling flows contain complex flow that classical Reynolds-averaged Navier–Stokes (RANS) models struggle to capture. A tensor-basis neural network is employed to provide an anisotropic model that can reproduce the Reynolds stress fi... Read More about Data-driven turbulence anisotropy in film and effusion cooling flows.