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Attached eddy model of wall turbulence
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 …
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
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 …
phenomena that are important to modern technology involve turbulence. The review is …
Wall turbulence at high friction Reynolds numbers
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 …
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
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)] …
for large eddy simulation: Chapman's estimates revisited,” Phys. Fluids 24, 011702 (2012)] …
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 …
A deep-learning approach for reconstructing 3D turbulent flows from 2D observation data
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 …
temporal scales, making predictions of turbulent flows a challenging topic. Nowadays, an …
Direct numerical simulation of turbulent channel flow up to
A direct numerical simulation of incompressible channel flow at a friction Reynolds number
($\mathit {Re} _ {{\it\tau}} $) of 5186 has been performed, and the flow exhibits a number of …
($\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
Reynolds-averaged Navier–Stokes simulations represent a cost-effective option for practical
engineering applications, but are facing ever-growing demands for more accurate …
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 …
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
Turbulence is a complicated phenomenon because of its chaotic behavior with multiple
spatiotemporal scales. Turbulence also has irregularity and diffusivity, making predicting …
spatiotemporal scales. Turbulence also has irregularity and diffusivity, making predicting …