Thermal Convection over Fractal Surfaces

Abstract

We use well resolved numerical simulations with the Lattice Boltzmann Method to study Rayleigh-Bénard convection in cells with a fractal boundary in two dimensions for $Pr=1$ and $Ra\in \left[10^7,10^{10}\right]$. The fractal boundaries are functions characterized by power spectral densities $S(k)$ that decay with wavenumber, $k$, as $S(k)\sim k^p$ ($p<0$). The degree of roughness is quantified by the exponent $p$ with $p<-3$ for smooth (differentiable) surfaces and $-3\le p<-1$ for rough surfaces with Hausdorff dimension $D_f=\frac{1}{2}(p+5)$. By computing the exponent $\beta$ in power law fits $Nu\sim R{a}^{\beta }$, where $Nu$ and $Ra$ are the Nusselt and the Rayleigh numbers for $Ra\in \left[10^8,10^{10}\right]$, we observe that heat transport scaling increases with roughness over the top two decades of $Ra\in \left[10^8,10^{10}\right]$. For $p$ $=-3.0$, $-2.0$ and $-1.5$ we find $\beta =0.288\pm 0.005,0.329\pm 0.006$ and $0.352\pm 0.011$, respectively. We also observe that the Reynolds number, $Re$, scales as $Re\sim R{a}^{\xi }$, where $\xi \approx 0.57$ over $Ra\in \left[10^7,10^{10}\right]$, for all $p$ used in the study. For a given value of $p$, the averaged $Nu$ and $Re$ are insensitive to the specific realization of the roughness.

15 pages, 13 figures

References in corpus (14)

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• Tailoring boundary geometry to optimize heat transport in turbulent convection
• Azimuthal diffusion of the large-scale-circulation plane, and absence of significant non-Boussinesq effects, in turbulent convection near the ultimate-state transition

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