Rayleigh–Taylor and Richtmyer–Meshkov instability induced flow, turbulence, and mixing. II

Y Zhou - Physics Reports, 2017 - Elsevier
Abstract Rayleigh–Taylor (RT) and Richtmyer–Meshkov (RM) instabilities are well-known
pathways towards turbulent mixing layers, in many cases characterized by significant mass …

Review of the high-order TENO schemes for compressible gas dynamics and turbulence

L Fu - Archives of Computational Methods in Engineering, 2023 - Springer
For compressible flow simulations involving both turbulence and shockwaves, the
competing requirements render it challenging to develop high-order numerical methods …

A family of high-order targeted ENO schemes for compressible-fluid simulations

L Fu, XY Hu, NA Adams - Journal of Computational Physics, 2016 - Elsevier
Although classical WENO schemes have achieved great success and are widely accepted,
they exhibit several shortcomings. They are too dissipative for direct simulations of …

[图书][B] Large eddy simulation for compressible flows

E Garnier, N Adams, P Sagaut - 2009 - books.google.com
Page 1 E. Garnier N. Adams P. Sagaut SCIENTIFIC COMPUTATION Large Eddy Simulation
for Compressible Flows Springer Page 2 Large Eddy Simulation for Compressible Flows Page …

A new hybrid recursive regularised Bhatnagar–Gross–Krook collision model for lattice Boltzmann method-based large eddy simulation

J Jacob, O Malaspinas, P Sagaut - Journal of Turbulence, 2018 - Taylor & Francis
ABSTRACT A new Lattice Boltzmann collision model for large eddy simulation (LES) of
weakly compressible flows is proposed. This model, referred to as the Hybrid Recursive …

[图书][B] Multiscale and multiresolution approaches in turbulence-LES, DES and Hybrid RANS/LES Methods: Applications and Guidelines

P Sagaut, M Terracol, S Deck - 2013 - books.google.com
The book aims to provide the reader with an updated general presentation of multiscale/
multiresolution approaches in turbulent flow simulations. All modern approaches (LES …

Deconvolutional artificial neural network models for large eddy simulation of turbulence

Z Yuan, C Xie, J Wang - Physics of Fluids, 2020 - pubs.aip.org
Deconvolutional artificial neural network (DANN) models are developed for subgrid-scale
(SGS) stress in large eddy simulation (LES) of turbulence. The filtered velocities at different …

Large-eddy simulation in hydraulics

W Rodi, G Constantinescu, T Stoesser - 2013 - api.taylorfrancis.com
Numerical computation methods are used more and more as tools for solving hydraulic and
environmental engineering problems, and as turbulence mostly plays an important role in …

On the accuracy of high-order discretizations for underresolved turbulence simulations

GJ Gassner, AD Beck - Theoretical and Computational Fluid Dynamics, 2013 - Springer
In this paper, we investigate the accuracy of a high-order discontinuous Galerkin
discretization for the coarse resolution simulation of turbulent flow. We show that a low-order …

Unsteady effects of strong shock-wave/boundary-layer interaction at high Reynolds number

V Pasquariello, S Hickel, NA Adams - Journal of Fluid Mechanics, 2017 - cambridge.org
We analyse the low-frequency dynamics of a high Reynolds number impinging shock-
wave/turbulent boundary-layer interaction (SWBLI) with strong mean-flow separation. The …