Exact coherent structures in two-dimensional turbulence identified with convolutional autoencoders

J Page, J Holey, MP Brenner… - Journal of Fluid …, 2024 - cambridge.org
Exact coherent structures in two-dimensional turbulence identified with convolutional
autoencoders Page 1 J. Fluid Mech. (2024), vol. 991, A10, doi:10.1017/jfm.2024.552 Exact …

Capturing the edge of chaos as a spectral submanifold in pipe flows

B Kaszás, G Haller - Journal of Fluid Mechanics, 2024 - cambridge.org
An extended turbulent state can coexist with the stable laminar state in pipe flows. We focus
here on short pipes with additional discrete symmetries imposed. In this case, the boundary …

Stabilising nonlinear travelling waves in pipe flow using time-delayed feedback

T Yasuda, D Lucas - Journal of Fluid Mechanics, 2025 - cambridge.org
We demonstrate the first successful non-invasive stabilisation of nonlinear travelling waves
in a straight cylindrical pipe using time-delayed feedback control working in various …

Predictive Framework for Flow Reversals and Excursions in Turbulence

B Suri - Physical Review Letters, 2024 - APS
We present a dynamical framework for intermittent reversals and excursions (R&Es) of large-
scale circulations in turbulence. We show that R&Es can occur when turbulent trajectories in …

Symmetry-aware autoencoders: s-PCA and s-nlPCA

S Kneer, T Sayadi, D Sipp, P Schmid… - arxiv preprint arxiv …, 2021 - arxiv.org
Nonlinear principal component analysis (NLPCA) via autoencoders has attracted attention
in the dynamical systems community due to its larger compression rate when compared to …

Stochastic model of organizational state transitions in a turbulent pipe flow

R Jäckel, B Magacho, B Owolabi, L Moriconi… - Physical Review …, 2023 - APS
Turbulent pipe flows exhibit organizational states (OSs) that are labeled by discrete
azimuthal wave number modes and are reminiscent of the traveling wave solutions of low …

Low-dimensional representation of intermittent geophysical turbulence with High-Order Statistics-informed Neural Networks (H-SiNN)

R Foldes, E Camporeale, R Marino - Physics of Fluids, 2024 - pubs.aip.org
We present a novel machine learning approach to reduce the dimensionality of state
variables in stratified turbulent flows governed by the Navier–Stokes equations in the …

Transition to chaos and modal structure of magnetized Taylor–Couette flow

A Guseva, SM Tobias - Philosophical Transactions of the …, 2023 - royalsocietypublishing.org
Taylor–Couette flow (TCF) is often used as a simplified model for complex rotating flows in
the interior of stars and accretion discs. The flow dynamics in these objects is influenced by …

[HTML][HTML] Modal Analysis of the Hydrodynamic Force of a Capsule in a Hydraulic Capsule Pipeline

Y Zhao, Y Li, X Sun - Journal of Marine Science and Engineering, 2023 - mdpi.com
Hydrodynamic forces influence the efficiency and safety of pipeline transport in ocean
engineering. A capsule pipeline is an example of pipeline transportation. In this work, a …

Fluctuation covariance-based study of roll-streak dynamics in Poiseuille flow turbulence

MA Nikolaidis, PJ Ioannou, BF Farrell - Journal of Fluid Mechanics, 2024 - cambridge.org
Although the roll-streak (RS) is fundamentally involved in the dynamics of wall turbulence,
the physical mechanism responsible for its formation and maintenance remains …