Attached eddy model of wall turbulence

I Marusic, JP Monty - Annual Review of Fluid Mechanics, 2019 - annualreviews.org
Modeling wall turbulence remains a major challenge, as a sufficient physical understanding
of these flows is still lacking. In an effort to move toward a physics-based model, AA …

[HTML][HTML] Recent advances on the numerical modelling of turbulent flows

CD Argyropoulos, NC Markatos - Applied Mathematical Modelling, 2015 - Elsevier
This paper reviews the problems and successes of computing turbulent flow. Most of the flow
phenomena that are important to modern technology involve turbulence. The review is …

Wall turbulence at high friction Reynolds numbers

S Hoyas, M Oberlack, F Alcántara-Ávila… - Physical Review …, 2022 - APS
A new direct numerical simulation of a Poiseuille channel flow has been conducted for a
friction Reynolds number of 10 000, using the pseudospectral code LISO. The mean …

[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)] …

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

XIA Yang, S Zafar, JX Wang, H **ao - 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 …

A deep-learning approach for reconstructing 3D turbulent flows from 2D observation data

MZ Yousif, L Yu, S Hoyas, R Vinuesa, HC Lim - Scientific Reports, 2023 - nature.com
Turbulence is a complex phenomenon that has a chaotic nature with multiple spatio-
temporal scales, making predictions of turbulent flows a challenging topic. Nowadays, an …

Direct numerical simulation of turbulent channel flow up to

M Lee, RD Moser - Journal of fluid mechanics, 2015 - cambridge.org
A direct numerical simulation of incompressible channel flow at a friction Reynolds number
($\mathit {Re} _ {{\it\tau}} $) of 5186 has been performed, and the flow exhibits a number of …

An interpretable framework of data-driven turbulence modeling using deep neural networks

C Jiang, R Vinuesa, R Chen, J Mi, S Laima, H Li - Physics of Fluids, 2021 - pubs.aip.org
Reynolds-averaged Navier–Stokes simulations represent a cost-effective option for practical
engineering applications, but are facing ever-growing demands for more accurate …

Coherent structures in wall-bounded turbulence

J Jiménez - Journal of Fluid Mechanics, 2018 - cambridge.org
This article discusses the description of wall-bounded turbulence as a deterministic high-
dimensional dynamical system of interacting coherent structures, defined as eddies with …

[HTML][HTML] Three-dimensional ESRGAN for super-resolution reconstruction of turbulent flows with tricubic interpolation-based transfer learning

L Yu, MZ Yousif, M Zhang, S Hoyas, R Vinuesa… - Physics of …, 2022 - pubs.aip.org
Turbulence is a complicated phenomenon because of its chaotic behavior with multiple
spatiotemporal scales. Turbulence also has irregularity and diffusivity, making predicting …