2015
DOI: 10.1017/jfm.2015.15
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A large-scale investigation of wind reversal in a square Rayleigh–Bénard cell

Abstract: We consider the numerical simulation of Rayleigh–Bénard convection in a 2D square cell filled with water ($\mathit{Pr}=4.3$) at a turbulent Rayleigh number of $\mathit{Ra}=5\times 10^{7}$. We focus on the structures and dynamics of the large-scale intermittent flow. Two quasi-stable flow patterns are identified: one consists of a main diagonal roll with two corner rolls; and the other of two horizontally stacked rolls. These stable flow structures are associated with two types of events, which involve corner f… Show more

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Cited by 56 publications
(90 citation statements)
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“…This calls for a reduction of the degrees of freedom of the system. Models with different levels of reduction have been developed to understand the long transients of the LSC dynamics, among them a nonlinear oscillator model for a cylindrical cell (Brown & Ahlers 2006) and a three-mode LSC model based on a Proper Orthogonal Decomposition (POD) in a square convection cell (Podvin & Sergent 2015). POD-type extraction of the most energetic degrees of freedom has also been used in the threedimensional case to determine the contribution of the primary and secondary POD modes to the global turbulent heat transfer (Bailon-Cuba et al 2010).…”
Section: Introductionmentioning
confidence: 99%
“…This calls for a reduction of the degrees of freedom of the system. Models with different levels of reduction have been developed to understand the long transients of the LSC dynamics, among them a nonlinear oscillator model for a cylindrical cell (Brown & Ahlers 2006) and a three-mode LSC model based on a Proper Orthogonal Decomposition (POD) in a square convection cell (Podvin & Sergent 2015). POD-type extraction of the most energetic degrees of freedom has also been used in the threedimensional case to determine the contribution of the primary and secondary POD modes to the global turbulent heat transfer (Bailon-Cuba et al 2010).…”
Section: Introductionmentioning
confidence: 99%
“…The phenomenon of flow reversals is complex, and thus, as motivated earlier, to gain a simplified understanding of their dynamics, researchers have constructed LDMs [13][14][15]. * Present address: Department of Physics, Syracuse University, Syracuse, New York 13244, USA; mmannatt@syr.edu † pambrish@iitk.ac.in ‡ mkv@iitk.ac.in § sagarc@iitk.ac.in Araujo et al [13] derived three nonlinearly-coupled ordinary differential equations representing large-scale temperature Fourier modes.…”
Section: Introductionmentioning
confidence: 99%
“…This model exhibits reversals similar to that observed in the dynamo field generated during the turbulent flow of liquid sodium. Podvin and Sergent [15] used proper orthogonal decomposition to construct an LDM that captures the reversals in two-dimensional thermal convection.…”
Section: Introductionmentioning
confidence: 99%
“…Mishra et al [6] and * ambrish.pandey@tu-ilmenau.de † mkv@iitk.ac.in ‡ barma@tifrh.res.in Xi et al [22] investigated the reversals of LSC in a cylindrical geometry, and observed that during a cessation-led reversal, the strength of secondary flow modes increase, whereas that of the primary mode decreases. In 2D RBC, reversals are constrained to occur through a cessation event, and the dominance of secondary modes during a cessation have also been reported [8][9][10][11][12][13][14]. Moreover, it has been observed that the first few most energetic flow modes capture the flow pattern and dynamics of LSC reversals very well [10][11][12][13][14].…”
Section: Introductionmentioning
confidence: 99%
“…In 2D RBC, reversals are constrained to occur through a cessation event, and the dominance of secondary modes during a cessation have also been reported [8][9][10][11][12][13][14]. Moreover, it has been observed that the first few most energetic flow modes capture the flow pattern and dynamics of LSC reversals very well [10][11][12][13][14]. In this paper, we gathered very long time statistics of the temporal evolution of vertical velocities at various locations in our simulation domain, and observe that their evolution and statistical properties can be described very well by the most energetic Fourier modes of the flow.…”
Section: Introductionmentioning
confidence: 99%