41 citations · 126 across the 7 of their papers we have counts for
5 papers · 1 filter
Physics-informed neural network to augment experimental data: an application to stratified flows
Lu Zhu, Xianyang Jiang, Adrien Lefauve +2
We develop a physics-informed neural network (PINN) to significantly augment state-of-the-art experimental data and apply it to stratified flows. The PINN is a fully-connected deep…
Geometry of stratified turbulent mixing: local alignment of the density gradient with rotation, shear and viscous dissipation
Xianyang Jiang, Amir Atoufi, Lu Zhu +4
We introduce a geometric analysis of turbulent mixing in density-stratified flows based on the alignment of the density gradient in two orthogonal bases that are locally constructe…
Long-wave instabilities of sloping stratified exchange flows
Lu Zhu, Amir Atoufi, Adrien Lefauve +2
We investigate the linear instability of two-layer stratified shear flows in a sloping two-dimensional channel, subject to non-zero longitudinal gravitational forces. We reveal thr…
Stratified inclined duct: two-layer hydraulics and instabilities
Amir Atoufi, Lu Zhu, Adrien Lefauve +5
The stratified inclined duct (SID) sustains an exchange flow in a long, gently sloping duct as a model for continuously-forced density-stratified flows such as those found in estua…
Stratified inclined duct: direct numerical simulations
Lu Zhu, Amir Atoufi, Adrien Lefauve +5
The stratified inclined duct (SID) experiment consists of a zero-net-volume exchange flow in a long tilted rectangular duct, which allows the study of realistic stratified shear fl…