中文
相关论文

相关论文: Single inertial particle statistics in turbulent f…

200 篇论文

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

The statistics of Lagrangian particles in turbulent flows is considered in the framework of a simple vortex model. Here, the turbulent velocity field is represented by a temporal sequence of Burgers vortices of different circulation,…

流体动力学 · 物理学 2009-11-13 M. Wilczek , F. Jenko , R. Friedrich

Geophysical fluid flows are predominantly turbulent and often strongly affected by the Earth's rotation, as well as by stable density stratification. Using direct numerical simulations of forced Boussinesq equations, we study the influence…

This text describes a method to simultaneously reconstruct flow states and determine particle properties from Lagrangian particle tracking (LPT) data. LPT is a popular measurement strategy for fluids in which particles in a flow are…

流体动力学 · 物理学 2023-11-16 Ke Zhou , Samuel J. Grauer

We investigate the behavior of microscopic heavy particles settling in homogeneous air turbulence. The regimes are relevant to the airborne transport of dust and droplets: the Taylor-microscale Reynolds number is Re = 289 - 462, the…

流体动力学 · 物理学 2021-05-12 Tim Berk , Filippo Coletti

The dynamics of inertial particles in turbulence is modelled and investigated by means of direct numerical simulation of an axisymmetrically expanding homogeneous turbulent strained flow. This flow can mimic the dynamics of particles close…

流体动力学 · 物理学 2023-07-19 Chung-min Lee , Ármann Gylfason , Prasad Perlekar , Federico Toschi

Lagrangian acceleration has been investigated both experimentally and numerically in the past, and it has been shown to exhibit extreme fluctuations, which have been rationalized as events in which tracer particles get trapped into vortical…

流体动力学 · 物理学 2025-07-24 Lorenzo Piro , Massimo Cencini , Roberto Benzi

The inclusion of convection in stellar evolution models lacks realism, especially near convective-radiative interfaces. Furthermore, the interaction of convection with oscillations prevent us from accurately predicting seismic frequencies,…

太阳与恒星天体物理 · 物理学 2025-10-31 J. Philidet , K. Belkacem

The transport and distribution of organisms like larvae, seeds or litter in the ocean as well as particles in industrial flows is often approximated by a transport of tracer particles. We present a theoretical investigation to check the…

流体动力学 · 物理学 2024-07-26 Deoclécio Valente , Ksenia Guseva , Ulrike Feudel

We have developed a new experimental technique to measure the Lagrangian velocity of tracer particles in a turbulent flow, based on ultrasonic Doppler tracking. This method yields a direct access to the velocity of a single particule at a…

流体动力学 · 物理学 2009-11-07 N. Mordant , P. Metz , O. Michel , J. -F. Pinton

We propose a one-fluid analytical model for a turbulently flowing dilute suspension, based on modified Navier-Stokes equation with a $k$-dependent effective density of suspension, $\rho_ {eff}(k)$, and an additional damping term $\propto…

混沌动力学 · 物理学 2007-05-23 Victor S. L'vov , Gijs Ooms , Anna Pomyalov

Suspensions with fiber-like particles in the low Reynolds number regime are modeled by two different approaches that both use a Lagrangian representation of individual particles. The first method is the well-established formulation based on…

计算工程、金融与科学 · 计算机科学 2015-03-25 Dominik Bartuschat , Ellen Fischermeier , Katarina Gustavsson , Ulrich Rüde

In this work, we propose a model for the orientation of inertialess spheroidal particles suspended in turbulent flows. This model consists in a stochastic version of the Jeffery equation that can be included in a statistical Lagrangian…

流体动力学 · 物理学 2023-03-31 Lorenzo Campana , Mireille Bossy , Christophe Henry

The breakup of inertial, solid aggregates in an incompressible, homogeneous and isotropic three-dimensional turbulent flow is studied by means of a direct numerical simulation, and by a Lagrangian tracking of the aggregates at varying…

流体动力学 · 物理学 2022-11-08 Graziano Frungieri , Matthaus U. Baebler , Luca Biferale , Alessandra Sabina Lanotte

We investigate the transport of inertial particles by cellular flows when advection dominates over inertia and diffusion, that is, for Stokes and P\'eclet numbers satisfying $\mathrm{St} \ll 1$ and $\mathrm{Pe} \gg 1$. Starting from the…

流体动力学 · 物理学 2020-05-26 Antoine Renaud , Jacques Vanneste

Accurate prediction of the hydrodynamic forces on particles is central to the fidelity of Euler-Lagrange (EL) simulations of particle-laden flows. Traditional EL methods typically rely on determining the hydrodynamic forces at the positions…

流体动力学 · 物理学 2025-09-08 Berend van Wachem , Hani Elmestikawy , Akshay Chandran , Max Hausmann

Most analyses of inertial particle motion in vortical flows rely on the point-particle approximation, in which the fluid velocity is assumed to be linear at the scale of the particle, and for heavy particles inertia typically leads to…

Lagrangian particle tracking is essential for characterizing turbulent flows, but inferring particle acceleration from inherently noisy position data remains a significant challenge. Fluid particles in turbulence experience extreme,…

数据分析、统计与概率 · 物理学 2026-02-27 Griffin M Kearney , Kasey M Laurent , Makan Fardad

The fate of small particles in turbulent flows depends strongly on the surrounding fluid's velocity gradient properties such as rotation and strain-rates. For non-inertial (fluid) particles, the Restricted Euler model provides a simple,…

流体动力学 · 物理学 2017-04-05 Perry L. Johnson , Charles Meneveau

Heavy particles in turbulent flows have been shown to accumulate in regions of high strain rate or low vorticity, a process otherwise known as preferential concentration. This can be observed in geophysical flows, and is inferred to occur…

流体动力学 · 物理学 2020-11-25 Sara Nasab , Pascale Garaud