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physics.flu-dyn2019★ 46 cited
An Iterative Machine-Learning Framework for RANS Turbulence Modeling
Weishuo Liu, Jian Fang, Stefano Rolfo +2
Machine-learning (ML) techniques provide a new and encouraging perspective for constructing turbulence models for Reynolds-averaged Navier--Stokes (RANS) simulations. In this study…
physics.flu-dyn2019
An Initial Attempt of Converged Machine-Learning Assisted Turbulence Modeling in RANS Simulations with Eddy-Viscosity Hypothesis
Weishuo Liu, Jian Fang, Stefano Rolfo +1
This work presents a converged framework of Machine-Learning Assisted Turbulence Modeling (MLATM). Our objective is to develop a turbulence model directly learning from high fideli…