Small-scale dynamics of settling, bidisperse particles in turbulence

We use Direct Numerical Simulations (DNS) to investigate the dynamics of settling, bidisperse particles in isotropic turbulence. In agreement with previous studies, we find that without gravity (i.e. $Fr=\infty$, where $Fr$ is the Froude number), bidispersity leads to an enhancement of the relative velocities, and a suppression of their spatial clustering. For $Fr<1$, the relative velocities in the direction of gravity are enhanced by the differential settling velocities of the bidisperse particles, as expected. However, we also find that gravity can strongly enhance the relative velocities in the "horizontal" directions (i.e. in the plane normal to gravity). This non-trivial behavior occurs because fast settling particles experience rapid fluctuations in the fluid velocity field along their trajectory, leading to enhanced particle accelerations and relative velocities. Indeed, the results show that even when $Fr\ll1$, turbulence can still play an important role, not only on the horizontal motion, but also on the vertical motion of the particles, with significant implications for understanding the mixing rates of settling bidisperse particles in turbulence. We also find that gravity drastically reduces the clustering of bidisperse particles. These results are strikingly different to the monodisperse case, for which recent results have shown that when $Fr<1$, gravity strongly suppresses the relative velocities in all directions, and can enhance clustering. We then consider the implications of these results for the collision rates of settling, bidisperse particles in turbulence. We find that for $Fr=0.052$, the collision kernel is almost perfectly predicted by the collision kernel for bidisperse particles settling in quiescent flow, such that the effect of turbulence may be ignored..

Stochastic tamed Navier-Stokes equations on R3\mathbb{R}^3:existence, uniqueness of solution and existence of an invariant measure

R\"ockner and Zhang in [27] proved the existence of a unique strong solution to a stochastic tamed 3D Navier-Stokes equation in the whole space and for the periodic boundary case using a result from [31]. In the latter case, they also proved the existence of an invariant measure. In this paper, we improve their results (but for a slightly simplified system) using a self-contained approach. In particular, we generalise their result about an estimate on the $L^4-$norm of the solution from the torus to $\mathbb{R}^3$, see Lemma 5.1 and thus establish the existence of an invariant measure on $\mathbb{R}^3$ for a time-homogeneous damped tamed 3D Navier-Stokes equation, given by (6.1).Comment: 65 Pages, revised version after referee's repor

Clustering of Rapidly Settling, Low-Inertia Particle Pairs in Isotropic Turbulence. II. Comparison of Theory and DNS

Part I of this study presented a stochastic theory for the clustering of monodisperse, rapidly settling, low-Stokes-number particle pairs in homogeneous isotropic turbulence. The theory involved the development of closure approximations for the drift and diffusion fluxes in the probability density function (PDF) equation for pair relative positions. In this Part II paper, the theory is quantitatively analyzed by comparing its predictions of particle clustering with data from direct numerical simulations (DNS) of isotropic turbulence containing particles settling under gravity. DNS were performed at a Taylor micro-scale Reynolds number $Re_\lambda = 77.76$ for three Froude numbers $Fr = \infty,~ 0.052,~ 0.006$. The Froude number $Fr$ is defined as the ratio of the Kolmogorov scale of acceleration and the magnitude of gravitational acceleration. Thus, $Fr = \infty$ corresponds to zero gravity, and $Fr = 0.006$ to the highest magnitude of gravity among the three DNS cases. For each $Fr$, particles of six Stokes numbers in the range $0.01 \le St_\eta \le 0.2$ were tracked in the DNS, and particle clustering quantified both as a function of separation and the spherical polar angle. %Here $St_\eta$~is the ratio of %the particle viscous relaxation time to the Kolmogorov time scale. We compared the DNS and theory values for the power-law exponent $\beta$ characterizing the dependence of clustering on separation. Reasonable agreement is seen between the DNS $\beta$'s for the $Fr = 0.006$ case and the theoretical predictions obtained using the second drift closure (referred to as DF2). Further, in conformity with the DNS, theory shows that the clustering of $St_\eta \ll 1$ particles is only weakly anisotropic

Global martingale solutions for a stochastic population cross-diffusion system

The existence of global nonnegative martingale solutions to a stochastic cross-diffusion system for an arbitrary but finite number of interacting population species is shown. The random influence of the environment is modeled by a multiplicative noise term. The diffusion matrix is generally neither symmetric nor positive definite, but it possesses a quadratic entropy structure. This structure allows us to work in a Hilbert space framework and to apply a stochastic Galerkin method. The existence proof is based on energy-type estimates, the tightness criterion of Brze\'zniak and co-workers, and Jakubowski's generalization of the Skorokhod theorem. The nonnegativity is proved by an extension of Stampacchia's truncation method due to Chekroun, Park, and Temam

Porous Alumina Based Capacitive MEMS RH Sensor

The aim of a joint research and development project at the BME and HWU is to produce a cheap, reliable, low-power and CMOS-MEMS process compatible capacitive type relative humidity (RH) sensor that can be incorporated into a state-of-the-art, wireless sensor network. In this paper we discuss the preparation of our new capacitive structure based on post-CMOS MEMS processes and the methods which were used to characterize the thin film porous alumina sensing layer. The average sensitivity is approx. 15 pF/RH% which is more than a magnitude higher than the values found in the literature. The sensor is equipped with integrated resistive heating, which can be used for maintenance to reduce drift, or for keeping the sensing layer at elevated temperature, as an alternative method for temperature-dependence cancellation.Comment: Submitted on behalf of EDA Publishing Association (http://irevues.inist.fr/handle/2042/16838