Convolutional neural network models and interpretability for the anisotropic reynolds stress tensor in turbulent one-dimensional flows
Author:
Affiliation:
1. Department of Aeronautics, Imperial College London, London, United Kingdom
2. Institute for Applied Computational Science, Harvard University, Cambridge, MA, United States
Publisher
Informa UK Limited
Subject
General Physics and Astronomy,Mechanics of Materials,Condensed Matter Physics,Computational Mechanics
Link
https://www.tandfonline.com/doi/pdf/10.1080/14685248.2021.1999459
Reference46 articles.
1. Extended Boltzmann Kinetic Equation for Turbulent Flows
2. Constitutive equations for turbulent flows
3. Johansson A. Engineering turbulence models and their development, with emphasis on explicit algebraic reynolds stress models. Theories of Turbulence. Springer; 2002. p. 253–300.
4. Analytical Methods for the Development of Reynolds-Stress Closures in Turbulence
5. Fang R, Sondak D, Protopapas P, et al. Deep learning for turbulent channel flow. 2018.
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