Immersed boundary methods: Historical perspective and future outlook

R Verzicco - Annual Review of Fluid Mechanics, 2023 - annualreviews.org
Immersed boundary methods (IBMs) are versatile and efficient computational techniques to
solve flow problems in complex geometric configurations that retain the simplicity and …

Quantification of model uncertainty in RANS simulations: A review

H Xiao, P Cinnella - Progress in Aerospace Sciences, 2019 - Elsevier
In computational fluid dynamics simulations of industrial flows, models based on the
Reynolds-averaged Navier–Stokes (RANS) equations are expected to play an important …

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 …

Wall-modeled large-eddy simulation for complex turbulent flows

ST Bose, GI Park - Annual review of fluid mechanics, 2018 - annualreviews.org
Large-eddy simulation (LES) has proven to be a computationally tractable approach to
simulate unsteady turbulent flows. However, prohibitive resolution requirements induced by …

[HTML][HTML] Grid-point and time-step requirements for direct numerical simulation and large-eddy simulation

XIA Yang, KP Griffin - Physics of Fluids, 2021 - pubs.aip.org
We revisit the grid-point requirement estimates in Choi and Moin [“Grid-point requirements
for large eddy simulation: Chapman's estimates revisited,” Phys. Fluids 24, 011702 (2012)] …

Large eddy simulation with modeled wall-stress: recent progress and future directions

J Larsson, S Kawai, J Bodart… - Mechanical Engineering …, 2016 - jstage.jst.go.jp
The paper provides a brief introduction to the near-wall problem of LES and how it can be
solved through modeling of the near-wall turbulence. The distinctions and key differences …

Predictive large-eddy-simulation wall modeling via physics-informed neural networks

XIA Yang, S Zafar, JX Wang, H Xiao - Physical Review Fluids, 2019 - APS
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 …

Large-eddy simulation of the atmospheric boundary layer

R Stoll, JA Gibbs, ST Salesky, W Anderson… - Boundary-Layer …, 2020 - Springer
Over the last 50 years the large-eddy simulation (LES) technique has developed into one of
the most prominent numerical tools used to study transport processes in the atmospheric …

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 …

Immersed boundary methods for fluid-structure interaction: A review

W Kim, H Choi - International Journal of Heat and Fluid Flow, 2019 - Elsevier
In this review, we introduce immersed boundary (IB) methods for fluid-structure interactions
(FSIs) of rigid and elastic bodies. IB methods impose momentum forcing on an Eulerian …