33 research outputs found
Lagrangian tracer dynamics in a closed cylindrical turbulent convection cell
Turbulent Rayleigh-Benard convection in a closed cylindrical cell is studied
in the Lagrangian frame of reference with the help of three-dimensional direct
numerical simulations. The aspect ratio of the cell Gamma is varied between 1
and 12, and the Rayleigh number Ra between 10^7 and 10^9. The Prandtl number Pr
is fixed at 0.7. It is found that both the pair dispersion of the Lagrangian
tracer particles and the statistics of the acceleration components measured
along the particle trajectories depend on the aspect ratio for a fixed Rayleigh
number for the parameter range covered in our studies. This suggests that
large-scale circulations present in the convection cell affect the Lagrangian
dynamics. Our findings are in qualitative agreement with existing Lagrangian
laboratory experiments on turbulent convection.Comment: 10 pages, 11 Postscript figure
Resolving the fine-scale structure in turbulent Rayleigh-Benard convection
We present high-resolution direct numerical simulation studies of turbulent
Rayleigh-Benard convection in a closed cylindrical cell with an aspect ratio of
one. The focus of our analysis is on the finest scales of convective
turbulence, in particular the statistics of the kinetic energy and thermal
dissipation rates in the bulk and the whole cell. The fluctuations of the
energy dissipation field can directly be translated into a fluctuating local
dissipation scale which is found to develop ever finer fluctuations with
increasing Rayleigh number. The range of these scales as well as the
probability of high-amplitude dissipation events decreases with increasing
Prandtl number. In addition, we examine the joint statistics of the two
dissipation fields and the consequences of high-amplitude events. We also have
investigated the convergence properties of our spectral element method and have
found that both dissipation fields are very sensitive to insufficient
resolution. We demonstrate that global transport properties, such as the
Nusselt number, and the energy balances are partly insensitive to insufficient
resolution and yield correct results even when the dissipation fields are
under-resolved. Our present numerical framework is also compared with
high-resolution simulations which use a finite difference method. For most of
the compared quantities the agreement is found to be satisfactory.Comment: 33 pages, 24 figure
Scaling relations in large-Prandtl-number natural thermal convection
In this study we follow Grossmann and Lohse, Phys. Rev. Lett. 86 (2001), who
derived various scalings regimes for the dependence of the Nusselt number
and the Reynolds number on the Rayleigh number and the Prandtl number
. We focus on theoretical arguments as well as on numerical simulations for
the case of large- natural thermal convection. Based on an analysis of
self-similarity of the boundary layer equations, we derive that in this case
the limiting large- boundary-layer dominated regime is I,
introduced and defined in [1], with the scaling relations and . Our direct numerical
simulations for from to and from 0.1 to 200 show that
the regime I is almost indistinguishable from the regime
III, where the kinetic dissipation is bulk-dominated. With increasing
, the scaling relations undergo a transition to those in IV of
reference [1], where the thermal dissipation is determined by its bulk
contribution
Mean Temperature Profiles in Turbulent Thermal Convection
To predict the mean temperature profiles in turbulent thermal convection, the
thermal boundary layer (BL) equation including the effects of fluctuations has
to be solved. In Shishkina et al., Phys. Rev. Lett. 114 (2015), the thermal BL
equation with the fluctuations taken into account as an eddy thermal
diffusivity has been solved for large Prandtl-number fluids for which the eddy
thermal diffusivity and the velocity field can be approximated respectively as
a cubic and a linear function of the distance from the plate. In the present
work we make use of the idea of Prandtl's mixing length model and relate the
eddy thermal diffusivity to the stream function. With this proposed relation,
we can solve the thermal BL equation and obtain a closed-form expression for
the dimensionless mean temperature profile in terms of two independent
parameters for fluids with a general Prandtl number. With a proper choice of
the parameters, our predictions of the temperature profiles are in excellent
agreement with the results of our direct numerical simulations for a wide range
of Prandtl numbers from 0.01 to 2547.9 and Rayleigh numbers from 10^7 to 10^9.Comment: 8 pages, 4 figure
Boundary layer structure in turbulent Rayleigh-Benard convection
The structure of the boundary layers in turbulent Rayleigh-Benard convection
is studied by means of three-dimensional direct numerical simulations. We
consider convection in a cylindrical cell at an aspect ratio one for Rayleigh
numbers of Ra=3e+9 and 3e+10 at fixed Prandtl number Pr=0.7. Similar to the
experimental results in the same setup and for the same Prandtl number, the
structure of the laminar boundary layers of the velocity and temperature fields
is found to deviate from the prediction of the Prandtl-Blasius-Pohlhausen
theory. Deviations decrease when a dynamical rescaling of the data with an
instantaneously defined boundary layer thickness is performed and the analysis
plane is aligned with the instantaneous direction of the large-scale
circulation in the closed cell. Our numerical results demonstrate that
important assumptions which enter existing classical laminar boundary layer
theories for forced and natural convection are violated, such as the strict
two-dimensionality of the dynamics or the steadiness of the fluid motion. The
boundary layer dynamics consists of two essential local dynamical building
blocks, a plume detachment and a post-plume phase. The former is associated
with larger variations of the instantaneous thickness of velocity and
temperature boundary layer and a fully three-dimensional local flow. The
post-plume dynamics is connected with the large-scale circulation in the cell
that penetrates the boundary region from above. The mean turbulence profiles
taken in localized sections of the boundary layer for both dynamical phases are
also compared with solutions of perturbation expansions of the boundary layer
equations of forced or natural convection towards mixed convection. Our
analysis of both boundary layers shows that the near-wall dynamics combines
elements of forced Blasius-type and natural convection.Comment: 23 pages, 19 Postscript figures (Figs. 1,8,12,14,15,17 in reduced
quality
Conditional statistics of thermal dissipation rate in turbulent Rayleigh-Bénard convection
The statistical properties of the thermal dissipation rate in turbulent Rayleigh-Bénard convection in a cylindrical cell are studied by means of three-dimensional direct numerical simulations for a fixed Prandtl number Pr = 0.7 and aspect ratio Γ = 1. The Rayleigh numbers Ra are between 107 and 3 × 1010. We apply a criterion that decomposes the cell volume into two disjoint subsets: the plume-dominated part and the turbulent background part. The plume-dominated set extends over the whole cell volume and is not confined to the boundary layers. It forms a complex spatial skeleton on which the heat is transported in the convection cell and its volume fraction decreases with increasing Rayleigh number. The latter finding holds also when the threshold, which separates both subvolumes, is varied. The Rayleigh number dependence of the mean moments and probability density functions of the thermal dissipation are analyzed on the subvolumes and related to other possible divisions of the convection volume, such as into boundary layer and bulk. The largest thermal dissipation events are always found in the plume-dominated subset