10 citations · 31 across the 11 of their papers we have counts for
11 papers
Impact of alignments between fluctuating and mean density gradients on the scale-dependent energetics of stably stratified turbulence
Soumak Bhattacharjee, Stephen M. de Bruyn Kops, Andrew D. Bragg
Non-trivial alignments between vorticity and the strain-rate tensor play an important role in the evolution of velocity gradients and the energy cascade in isotropic turbulence. He…
Evolution of passive scalar mixing layers in stratified and unstratified homogeneous turbulence
Stephen M. de Bruyn Kops, Peter N. Blossey, James J. Riley
High-resolution large-eddy simulations of decaying stratified and unstratified homogeneous turbulence are used to understand the mixing of passive scalars in stably stratified flow…
Tensor network compression using fluid dynamics as a testbed: Analytical foundations in one dimension
Matthew D. Horner, Callum W. Duncan, Oliver T. Brown +2
High performance computers produce extreme-scale data sets that require sampling or compression if they are to be used to their full potential. Existing data compression techniques…
Machine-Learned Closure of URANS for Stably Stratified Turbulence: Connecting Physical Timescales & Data Hyperparameters of Deep Time-Series Models
Muralikrishnan Gopalakrishnan Meena, Demetri Liousas, Andrew D. Simin +4
We develop time-series machine learning (ML) methods for closure modeling of the Unsteady Reynolds Averaged Navier Stokes (URANS) equations applied to stably stratified turbulence…
Asymptotic analysis of mixing in stratified turbulent flows, and the conditions for an inertial sub-range
Andrew D. Bragg, Stephen M. de Bruyn Kops
In an important study, Maffioli et al. (J. Fluid Mech., Vol. 794 , 2016) used a scaling analysis to predict that in the weakly stratified flow regime ( is the hori…
Prandtl number effects on extreme mixing events in forced stratified turbulence
Nicolaos Petropoulos, Miles M. P. Couchman, Ali Mashayek +2
Relatively strongly stratified turbulent flows tend to self-organise into a 'layered anisotropic stratified turbulence' (LAST) regime, characterised by relatively deep and well-mix…
Understanding the effect of Prandtl number on momentum and scalar mixing rates in neutral and stably stratified flows using gradient field dynamics
Andrew D. Bragg, Stephen M. de Bruyn Kops
Recently, direct numerical simulations (DNS) of stably stratified turbulence have shown that as the Prandtl number () is increased from 1 to 7, the mean turbulent potential ene…
Mixing across stable density interfaces in forced stratified turbulence
Miles M. P. Couchman, Stephen M. de Bruyn Kops, Colm-cille P. Caulfield
Understanding how turbulence enhances irreversible scalar mixing in density-stratified fluids is a central problem in geophysical fluid dynamics. While isotropic overturning region…
Probabilistic neural networks for predicting energy dissipation rates in geophysical turbulent flows
Sam F. Lewin, Stephen M. de Bruyn Kops, Gavin D. Portwood +1
Motivated by oceanographic observational datasets, we propose a probabilistic neural network (PNN) model for calculating turbulent energy dissipation rates from vertical columns of…
Analysis of scale-dependent kinetic and potential energy in sheared, stably stratified turbulence
Xiaolong Zhang, Rohit Dhariwal, Gavin Portwood +2
Budgets of turbulent kinetic energy (TKE) and turbulent potential energy (TPE) at different scales in sheared, stably stratified turbulence are analyzed using a filtering ap…
Implications of inertial subrange scaling for stably stratified mixing
G. D. Portwood, S. M. de Bruyn Kops, C. P. Caulfield
The effects of turbulent dynamic range on scalar mixing in stably stratified turbulence are investigated by an adaptation of the theoretical passive scalar modelling arguments of B…