Multi-scale invariant solutions in plane Couette flow: a reduced-order model approach
Matthew McCormack, Andr\'e V. G. Cavalieri, Yongyun Hwang

TL;DR
This study uses a reduced-order model to analyze multi-scale invariant solutions in plane Couette flow at Re=1200, revealing the importance of unsteady solutions for capturing complex turbulent dynamics.
Contribution
The paper demonstrates that incorporating unsteadiness into invariant solutions is crucial for accurately representing multi-scale turbulence in a reduced-order model.
Findings
Most multi-scale physical processes are captured by the model
Equilibrium solutions alone do not reproduce energy balance
Long-period periodic orbits better describe turbulent dynamics
Abstract
Plane Couette flow at Re=1200 (based on the channel half-height and half the velocity difference between the top and bottom plates) is investigated with a spatial domain designed to retain only two spanwise integral length scales. In this system, the computation of invariant solutions that are physically representative of the turbulent state has been understood to be challenging. To address this challenge, our approach is to employ an accurate reduced-order model with 600 degrees of freedom (Cavalieri & Nogueira, {Phys. Rev. Fluids}, vol. 7, 2022, L102601). Using the two-scale energy budget and the temporal cross-correlation of key observables, it is first demonstrated that the model contains most of the multi-scale physical processes identified recently (Doohan et al., J. Fluid Mech., vol. 913, 2021, A8): i.e. the large- and small-scale self-sustaining processes, the energy cascade for…
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Taxonomy
TopicsFluid Dynamics and Turbulent Flows · Meteorological Phenomena and Simulations
