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Measurement of particle accelerations in fully developed turbulence

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TLDR
In this paper, the authors used silicon strip detectors (originally developed for the CLEO III high-energy particle physics experiment) to measure fluid particle trajectories in turbulence with temporal resolution of up to 70000 frames per second.
Abstract
We use silicon strip detectors (originally developed for the CLEO III high-energy particle physics experiment) to measure fluid particle trajectories in turbulence with temporal resolution of up to 70000 frames per second. This high frame rate allows the Kolmogorov time scale of a turbulent water flow to be fully resolved for 140 [ges ] Rλ [ges ] 970. Particle trajectories exhibiting accelerations up to 16000 m s −2 (40 times the r.m.s. value) are routinely observed. The probability density function of the acceleration is found to have Reynolds-number-dependent stretched exponential tails. The moments of the acceleration distribution are calculated. The scaling of the acceleration component variance with the energy dissipation is found to be consistent with the results for low-Reynolds-number direct numerical simulations, and with the K41-based Heisenberg–Yaglom prediction for Rλ [ges ] 500. The acceleration flatness is found to increase with Reynolds number, and to exceed 60 at Rλ = 970. The coupling of the acceleration to the large-scale anisotropy is found to be large at low Reynolds number and to decrease as the Reynolds number increases, but to persist at all Reynolds numbers measured. The dependence of the acceleration variance on the size and density of the tracer particles is measured. The autocorrelation function of an acceleration component is measured, and is found to scale with the Kolmogorov time τη.

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Journal ArticleDOI

Lagrangian Properties of Particles in Turbulence

TL;DR: The Lagrangian description of turbulence is characterized by a unique conceptual simplicity and by an immediate connection with the physics of dispersion and mixing as discussed by the authors, and the statistical properties of particles when advected by fully developed turbulent flows.
Journal ArticleDOI

A quantitative study of three-dimensional Lagrangian particle tracking algorithms

TL;DR: A neural network particle finding algorithm and a new four-frame predictive tracking algorithm are proposed for three-dimensional Lagrangian particle tracking (LPT) and the best algorithms are verified to work in a real experimental environment.
Journal ArticleDOI

Clustering of aerosol particles in isotropic turbulence

TL;DR: In this paper, the Stokes number is used to predict the particle radial distribution function (RDF) in a turbulent flow for particles with a small, but non-zero Stokes numbers.
Journal ArticleDOI

Multifractal statistics of Lagrangian velocity and acceleration in turbulence

TL;DR: The statistical properties of velocity and acceleration fields along the trajectories of fluid particles transported by a fully developed turbulent flow are investigated by means of high resolution direct numerical simulations and are compared with predictions of the multifractal formalism.
Journal ArticleDOI

Acceleration statistics of heavy particles in turbulence

TL;DR: In this article, the results of direct numerical simulations of heavy particle transport in homogeneous, isotropic, fully developed turbulence, up to resolution $512^3$ ( $R_\lambda\approx 185$ ).
References
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Journal Article

The Local Structure of Turbulence in Incompressible Viscous Fluid for Very Large Reynolds' Numbers

TL;DR: In this article, the authors consider the problem of finding the components of the velocity at every point of a point with rectangular cartesian coordinates x 1, x 2, x 3, x 4, x 5, x 6, x 7, x 8.
Journal ArticleDOI

Equation of motion for a small rigid sphere in a nonuniform flow

TL;DR: In this paper, the forces on a small rigid sphere in a nonuniform flow are considered from first prinicples in order to resolve the errors in Tchen's equation and the subsequent modified versions that have since appeared.
Book ChapterDOI

Local Structure Of Turbulence in an Incompressible Viscous Fluid at Very Large Reynolds Numbers

TL;DR: In this article, the velocity components at each point P = (xi, x2, x3, t) of the region G under consideration belonging to the four-dimensional space were regarded as random variables in the sense of probability theory.
Journal ArticleDOI

On the universality of the Kolmogorov constant

TL;DR: For large enough microscale Reynolds numbers, the data (despite much scatter) support the notion of a "universal" constant that is independent of the flow as well as the Reynolds number, with a numerical value of about 0.5.
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