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 (DANN) models are developed for subgrid-scale (SGS) stress in large eddy simulation (LES) of turbulence. The filtered velocities at different …
In this article we detail the use of machine learning for spatio-temporally dynamic turbulence model classification and hybridization for large eddy simulations (LES) of turbulence. Our …
In this review paper, we provide a brief overview of the recent advances in the continuum modeling of gas–particle flows. First, we focus on the kinetic theory-based two-fluid models …
Z Yuan, Y Wang, C Xie, J Wang - Physics of Fluids, 2021 - pubs.aip.org
Dynamic iterative approximate deconvolution (DIAD) models with Galilean invariance are developed for subgrid-scale (SGS) stress in the large-eddy simulation (LES) of turbulence …
Highly resolved two-fluid model (TFM) simulations of gas-solid flows in vertical periodic channels have been performed to study closures for the filtered drag force and the Reynolds …
Large eddy simulation (LES) is currently widespread in turbulence modeling research. Although LES has reached a mature level in modelling single-phase turbulent flows even in …
Z Yuan, Y Wang, X Wang, J Wang - Physics of Fluids, 2023 - pubs.aip.org
An adjoint-based variational optimal mixed model (VOMM) is proposed for subgrid-scale (SGS) closure in large-eddy simulation (LES) of turbulence. The stabilized adjoint LES …
We study large-eddy simulation of compressible decaying isotropic turbulence of dense gas at initial turbulent Mach numbers of 0.4 and 0.8. The unclosed subgrid-scale (SGS) terms …