Low-dimensional model of the large-scale circulation of turbulent Rayleigh-B{\'e}nard convection in a cubic container
Dandan Ji, Eric Brown

TL;DR
This study tests a low-dimensional turbulence model's ability to predict large-scale circulation dynamics in Rayleigh-Bénard convection within a cubic container, successfully capturing oscillation modes and potential shapes across a range of Rayleigh numbers.
Contribution
The paper demonstrates that a low-dimensional model can accurately predict flow modes and potential landscapes in cubic cells, extending the modeling approach to different geometries with a single convection roll.
Findings
Model predicts oscillation modes around corners with quadratic minima.
Oscillation frequency and critical Rayleigh number match predictions within a factor of 3.
Model captures transition from underdamped to overdamped oscillations.
Abstract
We test the ability of a low-dimensional turbulence model to predict how dynamics of large-scale coherent structures such as convection rolls change in different cell geometries. We performed Rayleigh-B\'enard convection experiments in a cubic container, in which there is a single convection roll known as the large-scale circulation (LSC). The model describes the motion of the orientation of the LSC as diffusion in a potential which is predicted as a function of the shape of the cell from an approximate solutions of the Navier-Stokes equations. The model predicts advected oscillation modes, driven by a restoring force created by the non-circular cell cross-section. We observe the predicted lowest-wavenumber mode in which the LSC orientation oscillates around a corner, and a slosh angle rocks back and forth, which is distinct from the higher-wavenumber…
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