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We derive here Lagrangian fluctuation-dissipation relations for advected scalars in wall-bounded flows. The relations equate the dissipation rate for either passive or active scalars to the variance of scalar inputs from the initial values,…

流体动力学 · 物理学 2017-10-13 Theodore D. Drivas , Gregory L. Eyink

A Lagrangian fluctuation-dissipation relation has been derived in a previous work to describe the dissipation rate of advected scalars, both passive and active, in wall-bounded flows. We apply this relation here to develop a Lagrangian…

流体动力学 · 物理学 2018-03-15 Gregory L. Eyink , Theodore D. Drivas

We consider a passive scalar field under the action of pumping, diffusion and advection by a smooth flow with a Lagrangian chaos. We present theoretical arguments showing that scalar statistics is not conformal invariant and formulate new…

数学物理 · 物理学 2012-10-23 Marija Vucelja , Gregory Falkovich , Konstantin S. Turitsyn

The dispersion of a passive scalar by wall turbulence, in the limit of infinite Peclet number, is analyzed using frozen velocity fields from the DNS by our group. The Lagrangian trajectories of fluid particles in those fields are integrated…

流体动力学 · 物理学 2013-09-11 Juan C. del Alamo , Javier Jimenez

We study anomalous dissipation in the context of passive scalars and we construct a two-dimensional autonomous divergence-free velocity field in $C^\alpha$ (with $\alpha \in (0,1)$ arbitrary but fixed) which exhibits anomalous dissipation.…

偏微分方程分析 · 数学 2025-11-04 Carl Johan Peter Johansson , Massimo Sorella

Random advection of Lagrangian tracer scalar field $\theta (t,x)$ by a one-dimensional, spatially smooth and short-correlated in time velocity field is considered. Scalar fluctuations are maintained by a source concentrated at the integral…

chao-dyn · 物理学 2009-10-30 M. Chertkov , I. Kolokolov , M. Vegrassola

We study the Lagrangian flow associated to velocity fields arising from various models of fluid mechanics subject to white-in-time, $H^s$-in-space stochastic forcing in a periodic box. We prove that in many circumstances, these flows are…

偏微分方程分析 · 数学 2018-09-19 Jacob Bedrossian , Alex Blumenthal , Samuel Punshon-Smith

A compressible generalization of the Kraichnan model (Phys. Rev. Lett. 72, 1016 (1994)) of passive scalar advection is considered. The dynamical role of compressibility on the intermittency of the scalar statistics is investigated for the…

chao-dyn · 物理学 2009-10-31 A. Celani , A. Lanotte , A. Mazzino

The mechanisms promoting scalar dissipation through scalar gradient production are scrutinized in terms of vorticity alignment with respect to strain principal axes. For that purpose, a stochastic Lagrangian model for the velocity gradient…

流体动力学 · 物理学 2016-12-02 Michel Gonzalez

The Lagrangian view of passive scalar turbulence has recently produced interesting results and interpretations. Innovations in theory, experiments, simulations and data analysis of Lagrangian turbulence are reviewed here in brief. Part of…

流体动力学 · 物理学 2010-03-10 Katepalli R. Sreenivasan , Joerg Schumacher

The advection and mixing of a scalar quantity by fluid flow is an important problem in engineering and natural sciences. If the fluid is turbulent, the statistics of the passive scalar exhibit complex behavior. This paper is concerned with…

流体动力学 · 物理学 2022-07-13 Mnerh Alqahtani , Leonardo Grigorio , Tobias Grafke

The Obukhov-Corrsin theory of scalar turbulence [Obu49, Cor51] advances quantitative predictions on passive-scalar advection in a turbulent regime and can be regarded as the analogue for passive scalars of Kolmogorov's K41 theory of fully…

偏微分方程分析 · 数学 2023-09-25 Maria Colombo , Gianluca Crippa , Massimo Sorella

Spontaneous stochasticity refers to the emergence of intrinsic randomness in deterministic systems under singular limits, a phenomenon conjectured to be fundamental in turbulence. Armstrong and Vicol \citep{AV23,AV24} recently constructed a…

流体动力学 · 物理学 2025-04-23 W. Ruffenach , E. Simonnet , N. Valade

Lagrangian stochastic models are widely used to predict and analyze turbulent dispersion in complex environments, such as in various terrestrial and marine canopy flows. However, due to a lack of empirical data, it is still not understood…

流体动力学 · 物理学 2020-09-09 Ron Shnapp , Yardena Bohbot-Raviv , Alex Liberzon , Eyal Fattal

The dynamics of a passive scalar gradient experiencing fluctuating velocity gradient through the Lagrangian variations of strain persistence is studied. To this end, a systematic, numerical analysis based on the equation for the orientation…

经典物理 · 物理学 2017-02-02 A Garcia , M Gonzalez , P Paranthoën

The Lagrangian approach is natural to study issues of turbulent dispersion and mixing. We propose in this work a general Lagrangian stochastic model including velocity and acceleration as dynamical variables for inhomogeneous turbulent…

流体动力学 · 物理学 2020-05-01 Alessio Innocenti , Nicolas Mordant , Nick Stelzenmuller , Sergio Chibbaro

We demonstrate that at long times the rate of passive scalar decay in a turbulent, or simply chaotic, flow is dominated by regions (in real space or in inverse space) where mixing is less efficient. We examine two situations. The first is…

混沌动力学 · 物理学 2009-11-07 M. Chertkov , V. Lebedev

We propose a simple stochastic model of cascading transport in wave number space to clarify the origin of intermittent behavior of fully-developed fluid turbulence. In spite of lack of nonlinearity and viscosity the model gives non-Gaussian…

chao-dyn · 物理学 2008-02-03 Hideki Takayasu , Y-h. Taguchi , Tomoo Katsuyama

We investigate statistical properties of the passive scalar near boundaries (walls) in random (turbulent) flows assuming weakness of its diffusion. Then at advanced stages of the passive scalar mixing its unmixed residue is concentrated in…

混沌动力学 · 物理学 2015-03-13 A. Chernykh , V. Lebedev

We here exploit a rigorous mathematical theory of vorticity dynamics for Navier-Stokes solutions in terms of stochastic Lagrangian flows and their stochastic Cauchy invariants, that are conserved on average backward in time. This theory…

流体动力学 · 物理学 2023-07-19 Gregory L. Eyink , Akshat Gupta , Tamer Zaki
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