Search arXiv⌕ Search

arXiv · 2007.09994

The large-scale footprint in small-scale Rayleigh-Bénard turbulence

Abstract

Turbulent convection systems are known to give rise to prominent large scale circulation. At the same time, the `background' (or `small-scale') turbulence is also highly relevant and e.g. carries the majority of the heat transport in the bulk of the flow. Here, we investigate how the small-scale turbulence is interlinked with the large-scale flow organization of Rayleigh-Bénard convection. Our results are based on a numerical simulation at Rayleigh number $Ra = 10^8$ in a large aspect ratio ($Γ=32$) cell to ensure a distinct scale separation. We extract local magnitudes and wavenumbers of small scale turbulence and find significant correlation of large scale variations in these quantities with the large-scale signal. Most notably, we find stronger temperature fluctuations and increased small scale transport (on the order of $10\%$ of the global Nusselt number $Nu$) in plume impacting regions and opposite trends in the plume emitting counterparts. This concerns wall distances up to $2δ_θ$ (thermal boundary layer thickness). Local wavenumbers are generally found to be higher on the plume emitting side compared to the impacting one. A second independent approach by means of conditional averages confirmed these findings and yields additional insight into the large-scale variation of small-scale properties. Our results have implications for modelling small-scale turbulence.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Pieter Berghout, Woutijn Johannes Baars, Dominik Krug. 2020-11-29. The large-scale footprint in small-scale Rayleigh-Bénard turbulence. https://doi.org/10.1017/jfm.2020.1097

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

Rigid Body Dynamics in Ambient Fluids

We present a novel framework for rigid body dynamics in ambient media, such as air or water, enabling the reproduction of complex motion phenomena of objects without requiring computational fluid dynamics simulations. Our method computes the added mass of the fluid and estimates dynamic pressure forces from the surface slip velocity, replacing shape-specific drag and lift coefficients with a geometry-driven pressure computation. A physically motivated flow separation criterion then estimates where the fluid detaches from the body surface, governed by a single free parameter with a clear physical interpretation. Our method is the first within the rigid body dynamics context to reproduce the full range of falling plate behaviors: fluttering, tumbling, chaotic and steady modes, as well as phenomena such as the Magnus effect and the flight dynamics of an American football (tight spiral pass paradox). The resulting algorithm requires only surface force evaluations at runtime and integrates seamlessly into existing physics engines for fast simulation.

physics.flu-dyn↗

How pore-scale disorder controls fluid stretching in two-dimensional porous media

Fluid stretching in porous media governs the mixing of reactants, contaminants, and nutrients, yet how the solid microstructure controls the stretching statistics remains poorly understood. We investigate how porous-medium heterogeneity controls stretching using (i) particle-tracking velocimetry experiments in 3D-printed millifluidic cells, (ii) numerical simulations of solute-plume deformation in the measured flow fields, and (iii) analytical calculations of fluid stretching. The cells contain arrays of cylindrical rods with systematically-varying disorder levels, from ordered to random. Velocity and shear-rate measurements reveal that fluid deformation is strongly localized near solid boundaries for all disorder levels, suggesting that near-wall flow is the main driver of stretching. The mean stretching grows linearly in time for ordered media and quadratically for disordered media, while the stretching distributions are approximately log-normal. We analytically describe the stretching produced by flow around an isolated cylinder and embed this description in a random-walk model that reproduces the observed stretching statistics in random media. These results provide the first quantitative connection between porous-medium structure and fluid-stretching statistics, revealing the extent to which disordered media accelerate mixing relative to ordered media and enabling progress beyond the common mean-field description of stretching in two-dimensional media as a simple shear flow.

physics.flu-dyn↗

Early onset of half-power scaling laws in turbulent thermomagnetic convection

Scaling laws for turbulent thermomagnetic convection are derived through a theoretical approach supported by direct numerical simulations in a two-dimensional square cavity filled with a high-$\mathrm{Pr}$ magnetic fluid. A transport regime consistent with half-power scalings, $\mathrm{Nu} \sim \mathrm{Ra}_m^{1/2}$ and $\mathrm{Re} \sim \mathrm{Ra}_m^{1/2}$, emerges at the early onset of the laminar-to-turbulent transition and persists over the entire range investigated. Energy-budget and thermo-fluid analyses indicate that this behavior originates from the coupling between thermal and magnetic gradients, which enhances magnetic-force-driven plume ejection and vertical advection across the fluid bulk.

physics.flu-dyn↗