Abstract

Classical and symmetrical horizontal convection is studied by means of direct numerical simulations for Rayleigh numbers up to 3 × 1012 and Prandtl numbers , 1 and 10. For both set-ups, a very good agreement in global quantities with respect to heat and momentum transport is attained. Similar to Shishkina & Wagner (Phys. Rev. Lett., vol. 116, 2016, 024302), we find Nusselt number versus scaling transitions in a region . Above a critical , the flow undergoes either a steady–oscillatory transition (small ) or a transition from steady state to a transient state with detaching plumes (large ). The onset of the oscillations takes place at and the onset of detaching plumes at . These onsets coincide with the onsets of scaling transitions.

Highlights

  • In a horizontal convection (HC) system, heating and cooling take place over a single horizontal surface of a fluid layer. Sandstrom (1908) argued that, due to the absence of a pressure gradient, a closed circulation cannot be maintained in such systems

  • First we observe that Nu and Re in classical horizontal convection (CHC) and symmetrical horizontal convection (SHC) match remarkably well, with nearly equal absolute values over the whole parameter range

  • Both set-ups can be used for the investigation of the global heat and momentum transport in HC

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Summary

Introduction

In a horizontal convection (HC) system, heating and cooling take place over a single horizontal surface of a fluid layer. Sandstrom (1908) argued that, due to the absence of a pressure gradient, a closed circulation cannot be maintained in such systems. Six decades later, Rossby (1965) demonstrated in his experiments that HC alone, independent of any other sources, is able to create a circulation of a fluid and a net convective buoyancy flux. By considering the dynamics to be driven by a turbulent endwall plume, Hughes et al (2007) proposed the scaling Nu ∼ Ra1/5Pr1/5, but, as shown in Shishkina & Wagner (2016), the proposed Pr scaling is too strong and is not supported by direct numerical simulations (DNS). The SGL model suggests Nu ∼ Pr0Ra1/4 for large-Pr and Nu ∼ Pr1/10Ra1/5 for small-Pr laminar flows, which was supported by several numerical studies (Shishkina & Wagner 2016; Ramme & Hansen 2019).

Theoretical background
Results
Dynamics: plumes and oscillations
Dissipation rates
Conclusions
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