3 papers
cs.CE2025
Development of a Cost-Effective Simulation Tool for Loss of Flow Accident Transients in High-Temperature Gas-cooled Reactors
Bo Liu, Wei Wang, Charles Moulinec +5
The aim of this work is to further expand the capability of the coarse-grid Computational Fluid Dynamics (CFD) approach, SubChCFD, to effectively simulate transient and buoyancy-in…
physics.flu-dyn2019
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…