5,640 research outputs found
Gas Enrichment at Liquid-Wall Interfaces
Molecular dynamics simulations of Lennard-Jones systems are performed to
study the effects of dissolved gas on liquid-wall and liquid-gas interfaces.
Gas enrichment at walls is observed which for hydrophobic walls can exceed more
than two orders of magnitude when compared to the gas density in the bulk
liquid. As a consequence, the liquid structure close to the wall is
considerably modified, leading to an enhanced wall slip. At liquid-gas
interfaces gas enrichment is found which reduces the surface tension.Comment: main changes compared to version 1: flow simulations are included as
well as different types of gase
Scaling and Dissipation in the GOY Shell Model
This is a paper about multi-fractal scaling and dissipation in a shell model
of turbulence, called the GOY model. This set of equations describes a one
dimensional cascade of energy towards higher wave vectors. When the model is
chaotic, the high-wave-vector velocity is a product of roughly independent
multipliers, one for each logarithmic momentum shell. The appropriate tool for
studying the multifractal properties of this model is shown to be the energy
current on each shell rather than the velocity on each shell. Using this
quantity, one can obtain better measurements of the deviations from Kolmogorov
scaling (in the GOY dynamics) than were available up to now. These deviations
are seen to depend upon the details of inertial-range structure of the model
and hence are {\em not} universal. However, once the conserved quantities of
the model are fixed to have the same scaling structure as energy and helicity,
these deviations seem to depend only weakly upon the scale parameter of the
model. We analyze the connection between multifractality in the velocity
distribution and multifractality in the dissipation. Our arguments suggest that
the connection is universal for models of this character, but the model has a
different behavior from that of real turbulence. We also predict the scaling
behavior of time correlations of shell-velocities, of the dissipation,Comment: Revised Versio
Energy spectra in turbulent bubbly flows
We conduct experiments in a turbulent bubbly flow to study the nature of the
transition between the classical 5/3 energy spectrum scaling for a
single-phase turbulent flow and the 3 scaling for a swarm of bubbles rising
in a quiescent liquid and of bubble-dominated turbulence. The bubblance
parameter, which measures the ratio of the bubble-induced kinetic energy to the
kinetic energy induced by the turbulent liquid fluctuations before bubble
injection, is often used to characterise the bubbly flow. We vary the bubblance
parameter from (pseudo-turbulence) to (single-phase flow)
over 2-3 orders of magnitude () to study its effect on the turbulent
energy spectrum and liquid velocity fluctuations. The probability density
functions (PDFs) of the liquid velocity fluctuations show deviations from the
Gaussian profile for , i.e. when bubbles are present in the system. The
PDFs are asymmetric with higher probability in the positive tails. The energy
spectra are found to follow the 3 scaling at length scales smaller than the
size of the bubbles for bubbly flows. This 3 spectrum scaling holds not only
in the well-established case of pseudo-turbulence, but surprisingly in all
cases where bubbles are present in the system (). Therefore, it is a
generic feature of turbulent bubbly flows, and the bubblance parameter is
probably not a suitable parameter to characterise the energy spectrum in bubbly
turbulent flows. The physical reason is that the energy input by the bubbles
passes over only to higher wave numbers, and the energy production due to the
bubbles can be directly balanced by the viscous dissipation in the bubble wakes
as suggested by Lance Bataille (1991). In addition, we provide an
alternative explanation by balancing the energy production of the bubbles with
viscous dissipation in the Fourier space.Comment: J. Fluid Mech. (in press
Three-dimensional Lagrangian Voronoi analysis for clustering of particles and bubbles in turbulence
Three-dimensional Voronoi analysis is used to quantify the clustering of
inertial particles in homogeneous isotropic turbulence using data from numerics
and experiments. We study the clustering behavior at different density ratios
and particle response times (i.e. Stokes numbers St). The Probability Density
Functions (PDFs) of the Voronoi cell volumes of light and heavy particles show
a different behavior from that of randomly distributed particles -i.e. fluid
tracers-implying that clustering is present. The standard deviation of the PDF
normalized by that of randomly distributed particles is used to quantify the
clustering. Light particles show maximum clustering for St around 1-2. The
results are consistent with previous investigations employing other approaches
to quantify the clustering. We also present the joint PDFs of enstrophy and
Voronoi volumes and their Lagrangian autocorrelations. The small Voronoi
volumes of light particles correspond to regions of higher enstrophy than those
of heavy particles, indicating that light particles cluster in higher vorticity
regions. The Lagrangian temporal autocorrelation function of Voronoi volumes
shows that the clustering of light particles lasts much longer than that of
heavy or neutrally buoyant particles. Due to inertial effects, the Lagrangian
autocorrelation time-scale of clustered light particles is even longer than
that of the enstrophy of the flow itself.Comment: J. Fluid Mech. 201
The clustering morphology of freely rising deformable bubbles
We investigate the clustering morphology of a swarm of freely rising
deformable bubbles. A three-dimensional Vorono\"i analysis enables us to
quantitatively distinguish between two typical clustering configurations:
preferential clustering and a grid-like structure. The bubble data is obtained
from direct numerical simulations (DNS) using the front-tracking method. It is
found that the bubble deformation, represented by the aspect ratio \chi, plays
a significant role in determining which type of clustering is realized: Nearly
spherical bubbles with \chi <~ 1.015 form a grid-like structure, while more
deformed bubbles show preferential clustering. Remarkably, this criteria for
the clustering morphology holds for different diameters of the bubbles, surface
tension, and viscosity of the liquid in the studied parameter regime. The
mechanism of this clustering behavior is connected to the amount of vorticity
generated at the bubble surfaces.Comment: 10 pages, 5 figure
Whole-genome data reveal the complex history of a diverse ecological community
How widespread ecological communities assemble remains a key question in ecology. Trophic interactions between widespread species may reflect a shared population history or ecological fitting of local pools of species with very different population histories. Which scenario applies is central to the stability of trophic associations and the potential for coevolution between species. Here we show how alternative community assembly hypotheses can be discriminated using whole-genome data for component species and provide a likelihood framework that overcomes current limitations in formal comparison of multispecies histories. We illustrate our approach by inferring the assembly history of a Western Palearctic community of insect herbivores and parasitoid natural enemies, trophic groups that together comprise 50% of terrestrial species. We reject models of codispersal from a shared origin and of delayed enemy pursuit of their herbivore hosts, arguing against herbivore attainment of âenemy-free space.â The community-wide distribution of species expansion times is also incompatible with a random, neutral model of assembly. Instead, we reveal a complex assembly history of single- and multispecies range expansions through the Pleistocene from different directions and over a range of timescales. Our results suggest substantial turnover in species associations and argue against tight coevolution in this system. The approach we illustrate is widely applicable to natural communities of nonmodel species and makes it possible to reveal the historical backdrop against which natural selection acts
Characterization of Phenobarbital Binding to Rat Brain Membranes
The binding of phenobarbital to rat brain membranes was studied in order to determine its characteristics and specificity. The binding reaction was rapid and occurred at sites of low affinity. and very high density . It was unaffected by temperature changes from O°C to 95°C and was maximal at pH 5. Detergents in low concentrations markedly decreased the binding, apparently without solubilizing the binding sites. It is concluded that the binding of phenobarbital is a rather non-specific interaction with the plasma membrane
The evolution of energy in flow driven by rising bubbles
We investigate by direct numerical simulations the flow that rising bubbles
cause in an originally quiescent fluid. We employ the Eulerian-Lagrangian
method with two-way coupling and periodic boundary conditions. In order to be
able to treat up to 288000 bubbles, the following approximations and
simplifications had to be introduced: (i) The bubbles were treated as
point-particles, thus (ii) disregarding the near-field interactions among them,
and (iii) effective force models for the lift and the drag forces were used. In
particular, the lift coefficient was assumed to be 1/2, independent of the
bubble Reynolds number and the local flow field. The results suggest that large
scale motions are generated, owing to an inverse energy cascade from the small
to the large scales. However, as the Taylor-Reynolds number is only in the
range of 1, the corresponding scaling of the energy spectrum with an exponent
of -5/3 cannot develop over a pronounced range. In the long term, the property
of local energy transfer, characteristic of real turbulence, is lost and the
input of energy equals the viscous dissipation at all scales. Due to the lack
of strong vortices the bubbles spread rather uniformly in the flow. The
mechanism for uniform spreading is as follows: Rising bubbles induce a velocity
field behind them that acts on the following bubbles. Owing to the shear, those
bubbles experience a lift force which make them spread to the left or right,
thus preventing the formation of vertical bubble clusters and therefore of
efficient forcing. Indeed, when the lift is artifically put to zero in the
simulations, the flow is forced much more efficiently and a more pronounced
energy accumulates at large scales is achieved.Comment: 9 pages, 7 figure
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