On the applicability of low-dimensional models for convective flow reversals at extreme Prandtl numbers

Manu Mannattil (), Ambrish Pandey, Mahendra K. Verma and Sagar Chakraborty
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Manu Mannattil: Indian Institute of Technology Kanpur
Ambrish Pandey: Indian Institute of Technology Kanpur
Mahendra K. Verma: Indian Institute of Technology Kanpur
Sagar Chakraborty: Indian Institute of Technology Kanpur

The European Physical Journal B: Condensed Matter and Complex Systems, 2017, vol. 90, issue 12, 1-9

Abstract: Abstract Constructing simpler models, either stochastic or deterministic, for exploring the phenomenon of flow reversals in fluid systems is in vogue across disciplines. Using direct numerical simulations and nonlinear time series analysis, we illustrate that the basic nature of flow reversals in convecting fluids can depend on the dimensionless parameters describing the system. Specifically, we find evidence of low-dimensional behavior in flow reversals occurring at zero Prandtl number, whereas we fail to find such signatures for reversals at infinite Prandtl number. Thus, even in a single system, as one varies the system parameters, one can encounter reversals that are fundamentally different in nature. Consequently, we conclude that a single general low-dimensional deterministic model cannot faithfully characterize flow reversals for every set of parameter values.

Keywords: Statistical; and; Nonlinear; Physics (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1140/epjb/e2017-80391-1

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