In this paper, we develop a multivariate regression model and a neural network model to
predict the Reynolds number (Re) and Nusselt number in turbulent thermal convection. We …

We investigate the statistical properties of kinetic ϵ u and thermal ϵ θ energy dissipation
rates in two-dimensional (2D) thermal vibrational convection (TVC). Direct numerical …

We report pore-scale statistical properties of temperature and thermal energy dissipation
rate in a two-dimensional porous Rayleigh-Bénard (RB) cell. High-resolution direct …

We investigate the statistics of dissipation rates in turbulent Rayleigh-Bénard convection
inside a cubic cell for air (P r= 0.7) in the Rayleigh number range 2× 10 6≤ R a≤ 10 9 using …

In this paper, we extend Grossmann and Lohse's (GL) model [S. Grossmann and D.
Lohse,“Thermal convection for large Prandtl numbers,” Phys. Rev. Lett. 86, 3316 (2001)] for …

Thermal boundary layer structure in low-Prandtl-number turbulent convection Page 1 J. Fluid
Mech. (2021), vol. 910, A13. © The Author(s), 2021. Published by Cambridge University Press …

We analyze the Prandtl number (Pr) dependence of spectra and fluxes of kinetic energy, as
well as the energy injection rates and dissipation rates, of turbulent thermal convection using …

Direct numerical simulation (DNS) of non-slip two dimensional (2D) Rayleigh–Benard
convection (RBC) is conducted for a wide range of Rayleigh number (Ra up to 10 13) at …

While thermal convection cells exhibit left–right and top–bottom symmetries at low Rayleigh
numbers (R a), the emergence of coherent flow structures, such as elliptical large-scale …

We use direct numerical simulation (DNS) to explore the effect of tilt on two-dimensional
turbulent thermal convection on a half-soap bubble that is heated at its equator. In the DNS …