Statistical properties of subgrid-scale turbulence models
This review examines large eddy simulation (LES) models from the perspective of their a
priori statistical characteristics. The most well-known statistical characteristic of an LES …
priori statistical characteristics. The most well-known statistical characteristic of an LES …
Learning physics-constrained subgrid-scale closures in the small-data regime for stable and accurate LES
We demonstrate how incorporating physics constraints into convolutional neural networks
(CNNs) enables learning subgrid-scale (SGS) closures for stable and accurate large-eddy …
(CNNs) enables learning subgrid-scale (SGS) closures for stable and accurate large-eddy …
Toward neural-network-based large eddy simulation: Application to turbulent channel flow
A fully connected neural network (NN) is used to develop a subgrid-scale (SGS) model
mapping the relation between the SGS stresses and filtered flow variables in a turbulent …
mapping the relation between the SGS stresses and filtered flow variables in a turbulent …
A new hybrid recursive regularised Bhatnagar–Gross–Krook collision model for lattice Boltzmann method-based large eddy simulation
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 …
weakly compressible flows is proposed. This model, referred to as the Hybrid Recursive …
An air distribution optimization of hospital wards for minimizing cross-infection
Abstract Currently, the “2019-CoV-2” has been raging across the world for months, causing
massive death, huge panic, chaos, and immeasurable economic loss. Such emerging …
massive death, huge panic, chaos, and immeasurable economic loss. Such emerging …
Information-theoretic formulation of dynamical systems: causality, modeling, and control
A Lozano-Durán, G Arranz - Physical Review Research, 2022 - APS
The problems of causality, modeling, and control for chaotic, high-dimensional dynamical
systems are formulated in the language of information theory. The central quantity of interest …
systems are formulated in the language of information theory. The central quantity of interest …
Energy transfer from large to small scales in turbulence by multiscale nonlinear strain and vorticity interactions
PL Johnson - Physical review letters, 2020 - APS
An intrinsic feature of turbulent flows is an enhanced rate of mixing and kinetic energy
dissipation due to the rapid generation of small-scale motions from large-scale excitation …
dissipation due to the rapid generation of small-scale motions from large-scale excitation …
Numerical study of virus transmission through droplets from sneezing in a cafeteria
To provide a comprehensive understanding of virus transmission inside small indoor
spaces, numerical simulation of sneezing droplets spreading in a cafeteria is conducted …
spaces, numerical simulation of sneezing droplets spreading in a cafeteria is conducted …
[HTML][HTML] Rortex based velocity gradient tensor decomposition
Y Gao, C Liu - Physics of Fluids, 2019 - pubs.aip.org
Recently, a vector named Rortex was proposed to represent the local fluid rotation [C. Liu et
al.,“Rortex—A new vortex vector definition and vorticity tensor and vector decompositions,” …
al.,“Rortex—A new vortex vector definition and vorticity tensor and vector decompositions,” …
Accurate deep learning sub-grid scale models for large eddy simulations
R Bose, AM Roy - arXiv preprint arXiv:2307.10060, 2023 - arxiv.org
We present two families of sub-grid scale (SGS) turbulence models developed for large-
eddy simulation (LES) purposes. Their development required the formulation of physics …
eddy simulation (LES) purposes. Their development required the formulation of physics …