Data-driven turbulence anisotropy in film and effusion cooling flows

Film and effusion cooling flows contain complex flow that classical Reynolds-Averaged Navier Stokes (RANS) models struggle to capture. ATensor-BasisNeuralNetwork (TBNN) is employed to provide an anisotropic model that can reproduce the Reynolds stress fields of Large-Eddy Simulations (LES). High-qua...

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Bibliographic Details
Main Authors: Christopher Ellis, Hao Xia
Format: Default Article
Published: 2023
Subjects:
Engineering
Mathematical sciences
Physical sciences
Fluids & Plasmas
Online Access:https://hdl.handle.net/2134/24251023.v1
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