Bifurcations and chaos in large Prandtl-number Rayleigh-B\'{e}nard Convection
Supriyo Paul, Pankaj Wahi, Mahendra K. Verma

TL;DR
This paper develops a low-dimensional model for large Prandtl-number Rayleigh-Bénard convection, revealing complex bifurcation scenarios including chaos, with results aligning well with previous simulations and experiments.
Contribution
The study introduces a low-dimensional model capturing the rich bifurcation and chaos phenomena in large Prandtl-number RBC, extending understanding of flow dynamics.
Findings
Identification of multiple co-existing attractors.
Observation of chaos through quasiperiodicity and phase locking.
Match with past experimental and simulation results.
Abstract
A low-dimensional model of large Prandtl-number () Rayleigh B\'{e}nard convection is constructed using some of the important modes of pseudospectral direct numerical simulations. A detailed bifurcation analysis of the low-dimensional model for and aspect ratio of reveals a rich instability and chaos picture: steady rolls, time-periodicity, quasiperiodicity, phase locking, chaos, and crisis. Bifurcation analysis also reveals multiple co-existing attractors, and a window with time-periodicity after chaos. The results of the low-dimensional model matches quite closely with some of the past simulations and experimental results where they observe chaos in RBC through quasiperiodicity and phase locking.
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Taxonomy
TopicsFluid Dynamics and Turbulent Flows · Meteorological Phenomena and Simulations · Nanofluid Flow and Heat Transfer
