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Our work is motivated by the analysis of ash plume dynamics, arising in the study of volcanic eruptions. Such phenomena are characterized by large Reynolds number (exceeding $10^7$) and a large number of polydispersed particles~[1]. Thus,…

Direct numerical simulations of turbulent flow in a channel with one rigid and one viscoelastic wall are performed. An Eulerian-Eulerian model is adopted with a level-set approach to identify the fluid-compliant material interface. Focus is…

流体动力学 · 物理学 2021-11-03 Amir Esteghamatian , Joseph Katz , Tamer A. Zaki

The particle inertial effects on turbulence modulation in particle-laden channel flow are investigated through four-way coupled point-particle direct numerical simulations, with the mass loading fixed at $0.6$ and friction Stokes number…

流体动力学 · 物理学 2025-01-28 Zi-Mo Liao , Feng-Hui Lin , Luoqin Liu , Nan-Sheng Liu , Xi-Yun Lu

In many natural and industrial applications, turbulent flows encompass some form of dispersed particles. Although this type of multiphase turbulent flow is omnipresent, its numerical modeling has proven to be a remarkably challenging…

流体动力学 · 物理学 2024-07-02 Xander M. de Wit , Rudie P. J. Kunnen , Herman J. H. Clercx , Federico Toschi

In this paper, the results of an international collaborative test case relative to the production of a Direct Numerical Simulation and Lagrangian Particle Tracking database for turbulent particle dispersion in channel flow at low Reynolds…

We investigate the mechanisms by which inertial solid particles modulate turbulence and alter the fluid mass transport in dense turbulent liquid-solid flows. To this end, we perform Euler-Lagrange simulations at friction Reynolds number…

流体动力学 · 物理学 2024-06-13 Jonathan S. Van Doren , M. Houssem Kasbaoui

In particle-laden turbulent flows the turbulence in carrier fluid phase gets affected by the dispersed particle phase for volume fraction above $10^{-4}$ and hence reverse coupling or two-way coupling becomes relevant in that volume…

流体动力学 · 物理学 2022-09-14 Swagnik Ghosh , Partha Sarathi Goswami

In probability density function (PDF) methods of turbulent flows, the joint PDF of several flow variables is computed by numerically integrating a system of stochastic differential equations for Lagrangian particles. A mathematically exact…

流体动力学 · 物理学 2010-06-17 J. Bakosi

To better understand the hydrodynamic flow behavior in turbulence, Particle-Fluid flow have been studied using our Direct Numerical(DNS) based software DSM on MUSCL-QUICK and finite volume algorithm. The particle flow was studied using…

流体动力学 · 物理学 2012-07-12 R. Dutta , Shar Sajjadi

From particle lifting in atmospheric boundary layers to dust ingestion in jet engines, the transport and deposition of inertial particles in wall-bounded turbulent flows are prevalent in both nature and industry. Due to triboelectrification…

流体动力学 · 物理学 2025-05-14 Xuan Ruan , Miguel X. Diaz-Lopez , Matthew T. Gorman , Rui Ni

We examine the process of particle capture by large deformable drops in turbulent channel flow. We simulate the solid-liquid-liquid three-phase flow with an Eulerian-Lagrangian method based on Direct Numerical Simulation of turbulence…

流体动力学 · 物理学 2020-11-05 Arash Hajisharifi , Cristian Marchioli , Alfredo Soldati

Turbulent plane-Couette flow suspended with finite-size spheroidal particles is studied using fully particle-resolved direct numerical simulations. The effects of particle aspect ratio on turbulent arguments and particle statistics are…

流体动力学 · 物理学 2023-11-06 Cheng Wang , Linfeng Jiang , Chao Sun

We use interface-resolved simulations to study near-wall turbulence modulation by small inertial particles, much denser than the fluid, in dilute/semi-dilute conditions. We considered three bulk solid mass fractions, $\Psi=0.34\%$, $3.37\%$…

流体动力学 · 物理学 2021-07-19 Pedro Costa , Luca Brandt , Francesco Picano

We investigate the utility of deep learning for modeling the clustering of particles that are aerodynamically coupled to turbulent fluids. Using a Lagrangian particle module within the Athena++ hydrodynamics code, we simulate the dynamics…

地球与行星天体物理 · 物理学 2024-01-09 Yan-Mong Chan , Natascha Manger , Yin Li , Chao-Chin Yang , Zhaohuan Zhu , Philip J. Armitage , Shirley Ho

In particle-laden turbulent wall flows, lift forces can influence the near-wall turbulence. This has been recently observed in particle-resolved simulations, which, however, are too expensive to be used in upscaled models. Instead,…

流体动力学 · 物理学 2024-07-29 Wei Gao , Pengyu Shi , Matteo Parsani , Pedro Costa

We report a detailed study of Eulerian and Lagrangian statistics from high resolution Direct Numerical Simulations of isotropic weakly compressible turbulence. Reynolds number at the Taylor microscale is estimated to be around 600. Eulerian…

流体动力学 · 物理学 2009-05-04 R. Benzi , L. Biferale , R. Fisher , D. Q. Lamb , F. Toschi

This paper presents a novel methodology for the direct numerical modeling and simulation of turbulent flows. The kinetic model equation is firstly extended to turbulent flow with the account of coupled evolution of kinetic, thermal, and…

计算物理 · 物理学 2025-03-11 Xiaojian Yang , Kun Xu

We perform numerical simulations of a turbulent channel flow over an hyper-elastic wall. In the fluid region the flow is governed by the incompressible Navier-Stokes (NS) equations, while the solid is a neo-Hookean material satisfying the…

流体动力学 · 物理学 2017-11-22 Marco E. Rosti , Luca Brandt

Direct numerical simulation is used to investigate effects of turbulent flow in the confined geometry of a face-centered cubic porous unit cell on the transport, clustering, and deposition of fine particles at different Stokes numbers ($St…

流体动力学 · 物理学 2022-12-09 Sourabh V. Apte , Thibault Oujia , Keigo Matsuda , Benjamin Kadoch , Xiaoliang He , Kai Schneider

Dynamics of the particle phase in a particle laden turbulent flow is highly influenced by the fluctuating velocity and vorticity field of the fluid phase. The present work mainly focuses on exploring the possibility of applying a Langevin…

流体动力学 · 物理学 2021-06-08 Swagnik Ghosh , Partha Sarathi Goswami
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