Wall-modeled large-eddy simulation for complex turbulent flows
Large-eddy simulation (LES) has proven to be a computationally tractable approach to
simulate unsteady turbulent flows. However, prohibitive resolution requirements induced by …
simulate unsteady turbulent flows. However, prohibitive resolution requirements induced by …
A review of hybrid RANS-LES methods for turbulent flows: Concepts and applications
S Heinz - Progress in Aerospace Sciences, 2020 - Elsevier
The hybridization of Reynolds-averaged Navier-Stokes (RANS) and large eddy simulation
(LES) methods is seen to be the most promising way to efficiently deal with separated …
(LES) methods is seen to be the most promising way to efficiently deal with separated …
Scientific multi-agent reinforcement learning for wall-models of turbulent flows
HJ Bae, P Koumoutsakos - Nature Communications, 2022 - nature.com
The predictive capabilities of turbulent flow simulations, critical for aerodynamic design and
weather prediction, hinge on the choice of turbulence models. The abundance of data from …
weather prediction, hinge on the choice of turbulence models. The abundance of data from …
Predictive large-eddy-simulation wall modeling via physics-informed neural networks
While data-based approaches were found to be useful for subgrid scale (SGS) modeling in
Reynolds-averaged Navier-Stokes (RANS) simulations, there have not been many attempts …
Reynolds-averaged Navier-Stokes (RANS) simulations, there have not been many attempts …
Shock-induced heating and transition to turbulence in a hypersonic boundary layer
The interaction between an incident shock wave and a Mach-6 undisturbed hypersonic
laminar boundary layer over a cold wall is addressed using direct numerical simulations …
laminar boundary layer over a cold wall is addressed using direct numerical simulations …
Dynamic slip wall model for large-eddy simulation
Wall modelling in large-eddy simulation (LES) is necessary to overcome the prohibitive near-
wall resolution requirements in high-Reynolds-number turbulent flows. Most existing wall …
wall resolution requirements in high-Reynolds-number turbulent flows. Most existing wall …
Wall model based on neural networks for LES of turbulent flows over periodic hills
In this work, a data-driven wall model for turbulent flows over periodic hills is developed
using the feedforward neural network (FNN) and data from wall-resolved large-eddy …
using the feedforward neural network (FNN) and data from wall-resolved large-eddy …
Non-Boussinesq subgrid-scale model with dynamic tensorial coefficients
A major drawback of Boussinesq-type subgrid-scale stress models used in large-eddy
simulations is the inherent assumption of alignment between large-scale strain rates and …
simulations is the inherent assumption of alignment between large-scale strain rates and …
Deep reinforcement learning for large-eddy simulation modeling in wall-bounded turbulence
The development of a reliable subgrid-scale (SGS) model for large-eddy simulation (LES) is
of great importance for many scientific and engineering applications. Recently, deep …
of great importance for many scientific and engineering applications. Recently, deep …
Data-driven wall modeling for turbulent separated flows
The large-eddy simulation of wall-bounded turbulent flows at high Reynolds numbers is
made more efficient by the use of wall models that predict the wall shear stress, allowing …
made more efficient by the use of wall models that predict the wall shear stress, allowing …