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相关论文: Probability Densities in Strong Turbulence

200 篇论文

Making use of the exact equations for structure functions, supplemented by the equations for dissipa tive anomaly as well as an estimate for the Lagrangian acceleration of fluid particles, we obtain a main result of the multifractal theory…

混沌动力学 · 物理学 2007-05-23 Victor Yakhot , K. R. Sreenivasan

The statistics of power fluctuations are studied in simulations of two-dimensional turbulence in both inverse (energy) and direct (enstrophy) cascade regimes from both Lagrangian and Eulerian perspectives. The probability density function…

统计力学 · 物理学 2008-03-01 M. M. Bandi , C. Connaughton

We compare experimental data and numerical simulations for the dynamics of inertial particles with finite density in turbulence. In the experiment, bubbles and solid particles are optically tracked in a turbulent flow of water using an…

混沌动力学 · 物理学 2008-08-28 R. Volk , E. Calzavarini , G. Verhille , D. Lohse , N. Mordant , J. -F. Pinton , F. Toschi

We compare velocity structure in the Polaris Flare molecular cloud at scales ranging from 0.015 pc to 20 pc to simulations of supersonic hydrodynamic and MHD turbulence computed with the ZEUS MHD code. We use several different statistical…

天体物理学 · 物理学 2007-05-23 Volker Ossenkopf , Mordecai-Mark Mac Low

We consider the statistics of light amplitude fluctuations for the propagation of a laser beam subjected to multiple filamentation in an amplified Kerr media, with both linear and nonlinear dissipation. Dissipation arrests the catastrophic…

混沌动力学 · 物理学 2010-10-21 Pavel M. Lushnikov , Natalia Vladimirova

Small-scale turbulence can be comprehensively described in terms of velocity gradients, which makes them an appealing starting point for low-dimensional modeling. Typical models consist of stochastic equations based on closures for…

流体动力学 · 物理学 2024-03-01 Maurizio Carbone , Vincent J. Peterhans , Alexander S. Ecker , Michael Wilczek

We propose a simple modification, the Gaussian truncation, of the probability density function which was obtained by Beck (2001) to fit the experimental distribution of fluid particle acceleration component from fully developed fluid…

统计力学 · 物理学 2007-05-23 A. K. Aringazin , M. I. Mazhitov

High-resolution numerical experiments, described in this work, show that velocity fluctuations governed by the one-dimensional Burgers equation driven by a white-in-time random noise with the spectrum $\overline{|f(k)|^2}\propto k^{-1}$…

adap-org · 物理学 2009-10-28 Alexei Chekhlov , Victor Yakhot

The joint probability density function (PDF) of turbulent velocity and concentration of a passive scalar in an urban street canyon is computed using a newly developed particle-in-cell Monte Carlo method. Compared to moment closures, the PDF…

地球物理 · 物理学 2010-03-25 J. Bakosi , P. Franzese , Z. Boybeyi

We numerically study the volume density probability distribution function (n-PDF) and the column density probability distribution function (Sigma-PDF) resulting from thermally bistable turbulent flows. We analyze three-dimensional…

星系天体物理 · 物理学 2015-06-12 Adriana Gazol , Jongsoo Kim

The relative dispersion process in two-dimensional free convection turbulence is investigated by direct numerical simulation. In the inertial range, the growth of relative separation, $r$, is expected as $<r^2(t)>\propto t^5$ according to…

混沌动力学 · 物理学 2009-11-11 Takeshi Ogasawara , Sadayoshi Toh

We consider the one-dimensional Burgers equation randomly stirred at large scales by a Gaussian short-time correlated force. Using the method of dissipative anomalies, we obtain velocity and velocity-difference probability density functions…

混沌动力学 · 物理学 2007-05-23 S. Boldyrev , T. Linde , A. Polyakov

Numerical evidence of non-diffusive transport in three-dimensional, resistive pressure-gradient-driven plasma turbulence is presented. It is shown that the probability density function (pdf) of test particles' radial displacements is…

等离子体物理 · 物理学 2009-11-10 D. del-Castillo-Negrete , B. A. Carreras , V. E. Lynch

We compare experiments and direct numerical simulations to evaluate the accuracy of the Stokes-drag model, which is used widely in studies of inertial particles in turbulence. We focus on statistics at the dissipation scale and on extreme…

流体动力学 · 物理学 2016-08-03 Ewe-Wei Saw , Gregory P. Bewley , Eberhard Bodenschatz , Samriddhi Sankar Ray , Jérémie Bec

Turbulent wall flows offer the most direct means for understanding the effects of boundaries and viscosity on turbulent fluctuations. Available data on mean-square fluctuations in these flows show apparent contradiction with classical…

流体动力学 · 物理学 2025-08-05 Xi Chen , Katepalli R. Sreenivasan

We consider a few cases of homogeneous and isotropic turbulence differing by the mechanisms of turbulence generation. The advective terms in the Navier-Stokes and Burgers equations are similar. It is proposed that the longitudinal structure…

chao-dyn · 物理学 2009-10-30 Victor Yakhot

Direct numerical simulations are used to investigate the individual dynamics of large spherical particles suspended in a developed homogeneous turbulent flow. A definition of the direction of the particle motion relative to the surrounding…

流体动力学 · 物理学 2015-06-16 Mamadou Cisse , Holger Homann , Jeremie Bec

Intermittency, measured as log(F(r)/3), where F(r) is the flatness of velocity increments at scale r, is found to rapidly increase as viscous effects intensify, and eventually saturate at very small scales. This feature defines a finite…

统计力学 · 物理学 2007-05-23 Laurent Chevillard , Bernard Castaing , Emmanuel Leveque

We study the statistical properties of the gravitational field generated by galaxy distribution observed bythe Sloan Digital Sky Survey (DR7). We characterize the probability density function of gravitational force fluctuations and relate…

宇宙学与河外天体物理 · 物理学 2015-05-19 Francesco Sylos Labini

The probability density function (PDF) of a global measure in a large class of highly correlated systems has been suggested to be of the same functional form. Here, we identify the analytical form of the PDF of one such measure, the order…