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Exploring Jump Rope Vortex Dynamics in Turbulent LiquidMetal Rayleigh-BÅLenard Convection Under Diverse MechanicalBoundary Conditions

ORAL

Abstract

The large-scale circulation (LSC) is a crucial dynamical feature of turbulent thermal convection, shaping the appearance of various geophysical and astrophysical systems, such as solar granulation or cloud streets (Akashi et al., (2022),footnote{Akashi et al., extit{J. Fluid Mech.} extbf{932}, 27 (2022)} and Vogt and Horn et al., (2018)footnote{Vogt and Horn et al., extit{PNAS}. extbf{115}, 50 (2018)}). This study investigates the Jump Rope Vortex, one of the fundamental modes within turbulent Rayleigh-B'enard convection, besides torsion and sloshing. This mode is distinguished by its fully three-dimensional (3D) motion, reminiscent of a twirling jump rope. Through the application of high-resolution direct numerical simulations (DNS), we seek to elucidate the dynamics of the jump rope vortex under a diverse set of boundary conditions, encompassing rigid (no-slip), free-slip, periodic, and mixed configurations.

Existing research has primarily focused on no-slip boundary conditions on the characteristics of turbulent thermal convection. However, a comprehensive understanding of the role of various boundary conditions in modulating the fully 3D motion of the jump rope vortex, remains elusive. Each boundary condition, no-slip, free-slip, periodic, and mixed impose unique constraints on the flow, which consequently affects the LSCs and jump rope vortex dynamics, as well as the heat and momentum transport. In this study, we systematically quantify the effects of these diverse boundary conditions on the morphology, stability, and heat transfer properties of the jump rope vortex. We will present results from an array of DNS in liquid metal with $Pr=0.025$, covering Rayleigh numbers in the range of $Ra = 1.0 imes10^4$ to $1.0 imes10^6$. Furthermore, we explore variations in the domain's aspect ratio, ranging from $Gamma = 2$ to $5$ with both square and rectangle bases.

This knowledge can be invaluable for the development of theoretical models and the interpretation of observational data in the context of convective systems.

Publication: n/a

Presenters

  • Shahzad Sarwar

    University of Coventry

Authors

  • Shahzad Sarwar

    University of Coventry

  • Susanne Horn

    Coventry University