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Featured researches published by Boris Arcen.


Physics of Fluids | 2009

Simulation of a particle-laden turbulent channel flow using an improved stochastic Lagrangian model

Boris Arcen; A. Tanière

The purpose of this paper is to examine the Lagrangian stochastic modeling of the fluid velocity seen by inertial particles in a nonhomogeneous turbulent flow. A new Langevin-type model, compatible with the transport equation of the drift velocity in the limits of low and high particle inertia, is derived. It is also shown that some previously proposed stochastic models are not compatible with this transport equation in the limit of high particle inertia. The drift and diffusion parameters of these stochastic differential equations are then estimated using direct numerical simulation (DNS) data. It is observed that, contrary to the conventional modeling, they are highly space dependent and anisotropic. To investigate the performance of the present stochastic model, a comparison is made with DNS data as well as with two different stochastic models. A good prediction of the first and second order statistical moments of the particle and fluid seen velocities is obtained with the three models considered. Even...


Physics of Fluids | 2010

Study on Langevin model parameters of velocity in turbulent shear flows

A. Tanière; Boris Arcen; Benoît Oesterlé; Jacek Pozorski

This paper deals with the stochastic equation used to predict the fluctuating velocity of a fluid particle in a nonhomogeneous turbulent flow, in the frame of probability density function (PDF) approaches. It is shown that a Langevin-type equation is appropriate provided its parameters (drift and diffusion matrices) are suitably specified. By following the approach proposed in the literature for homogeneous turbulent shear flows, these parameters have been identified using data from direct numerical simulations (DNS) of both channel and pipe flows. Using statistics extracted from the computation of the channel flow, it is shown that the drift matrix of the stochastic differential equation can reasonably be assumed to be diagonal but not spherical. This behavior of the drift coefficients is confirmed by the available results for a turbulent pipe flow at low Reynolds number. Concerning the diffusion matrix, it is found that this matrix is anisotropic for low Reynolds number flows, a property which has been ...


Physics of Fluids | 2017

Prolate spheroidal particles’ behavior in a vertical wall-bounded turbulent flow

Boris Arcen; R. Ouchene; M. Khalij; A. Tanière

Direct numerical simulations (DNSs) have been performed to examine the inertia, shape, and gravity field effects on the dynamics of ellipsoidal particles within a vertical turbulent channel flow. To investigate the effects induced by the particle inertia and shape, computations have been conducted for three aspect ratios and two response times. The influence of gravity has been examined through a comparison with DNS data provided in earlier studies without gravity. The originality of this study is that the prediction of the hydrodynamic force and pitching torque acting on the non-spherical particles has been carried out with recent expressions valid outside the Stokes flow regime. With the data extracted from the DNS, a statistical analysis of the particle spatial distribution, orientation, and translational and angular velocities is carried out. Results show that the presence of a significant mean relative velocity between the dispersed and continuous phases greatly modifies the dynamics of non-spherical...


Engineering Turbulence Modelling and Experiments 6#R##N#Procedings of the ERCOFTAC International Symposium on Engineering Turbulence Modelling and Measurements; ETMM6, Sardinia, Italy, 23–25 May, 2005 | 2005

Influence of the Gravity Field on the Turbulence Seen by Heavy Discrete Particles in an Inhomogeneous Flow

Boris Arcen; A. Tanière; B. Oesterlé

ABSTRACT The motion of heavy discrete particles in a fully developed horizontal channel flow is investigated by means of direct numerical simulation (DNS). The paper explores the influence of the gravity field on the decorrelation time scales of the fluid seen by the discrete particles comparing to those obtained without external forces (Arcen et al., 2004). As expected, the crossing trajectory effect introduced by the presence of gravity induces a decrease of such time scales in all directions. The data extracted from DNS also enable to test the ability of the famous expressions proposed by Csanady (1963) to model the time scales of the fluid seen in an inhomogeneous flow, under conditions which are somewhat far from his theoretical analysis. It is demonstrated that the time scale decrease is about two times more important in the directions perpendicular to the mean relative velocity, a result which is qualitatively conform to Csanady’s analysis although the mean relative velocity and the turbulent intensity are of the same order.


International Journal of Multiphase Flow | 2008

Statistics of particle dispersion in direct numerical simulations of wall-bounded turbulence: Results of an international collaborative benchmark test

Cristian Marchioli; Alfredo Soldati; Johannes G.M. Kuerten; Boris Arcen; A. Tanière; G. Goldensoph; K.D. Squires; M.F. Cargnelutti; L.M. Portela


International Journal of Multiphase Flow | 2006

On the influence of near-wall forces in particle-laden channel flows

Boris Arcen; A. Tanière; B. Oesterlé


International Journal of Heat and Mass Transfer | 2012

Heat transfer in a turbulent particle-laden channel flow

Boris Arcen; A. Tanière; M. Khalij


International Journal of Multiphase Flow | 2008

Assessment of a statistical model for the transport of discrete particles in a turbulent channel flow

Boris Arcen; A. Tanière; L. I. Zaichik


International Journal of Multiphase Flow | 2014

Prediction of a particle-laden turbulent channel flow: Examination of two classes of stochastic dispersion models

A. Tanière; Boris Arcen


International Journal of Multiphase Flow | 2008

On the use of Csanady’s formulae in a turbulent gas–solid channel flow

Boris Arcen; A. Tanière

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A. Tanière

Centre national de la recherche scientifique

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B. Oesterlé

Centre national de la recherche scientifique

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M. Khalij

University of Lorraine

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L. I. Zaichik

Russian Academy of Sciences

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Johannes G.M. Kuerten

Eindhoven University of Technology

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L.M. Portela

Delft University of Technology

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M.F. Cargnelutti

Delft University of Technology

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