LrgpV1, PascalFrancis, Corpus, bibRecord, 000027

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

Identifieur interne : 000027 ( PascalFrancis/Corpus ); précédent : 000026; suivant : 000028

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

Auteurs : A. Taniere ; B. Arcen

Source :

International journal of multiphase flow [ 0301-9322 ] ; 2014.

RBID : Pascal:14-0090625

Descripteurs français

Pascal (Inist)
- Ecoulement diphasique, Ecoulement turbulent, Ecoulement conduite, Modèle stochastique, Suspension particule, Modélisation, Simulation numérique, Dispersion hydrodynamique, 4755K.

English descriptors

KwdEn :
- Digital simulation, Hydrodynamic dispersion, Modelling, Particle suspension, Pipe flow, Stochastic model, Turbulent flow, Two-phase flow.

Abstract

Nowadays, two families of stochastic models are mainly used to predict the dispersion of inertial particles in inhomogeneous turbulent flows. This first one is named "normalized model" and the second one "Generalized Langevin Model (GLM)". Nevertheless, the main differences between the normalized and GLM models have not been thoroughly investigated. Is there a model which is more suitable to predict the particle dispersion in inhomogeneous turbulence? We propose in the present study to clarify this point by computing a particle-laden turbulent channel flow using a GLM-type model, and also a normalized-type model. Particle statistics (such as concentration, mean and rms particle velocity, fluid-particle velocity covariances) will be provided and compared to Direct Numerical Simulation (DNS) data in order to assess the performance of both dispersion models. It will be shown that the normalized dispersion model studied can predict correctly the effect of particle inertia on some dispersion statistics, but not on all. For instance, it was found that the prediction of the particle kinetic shear stress and some components of the fluid-particle covariance is not physically acceptable.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

A01	`01`	`1`		`@0 0301-9322`
A02	`01`			`@0 IJMFBP`
A03		`1`		`@0 Int. j. multiph. flow`
A05				`@2 60`
A08	`01`	`1`	`ENG`	`@1 Prediction of a particle-laden turbulent channel flow: Examination of two classes of stochastic dispersion models`
A11	`01`	`1`		`@1 TANIERE (A.)`
A11	`02`	`1`		`@1 ARCEN (B.)`
A14	`01`			`@1 Université de Lorraine, LEMTA, UMR 7563 @2 Vandoeuvre-lès-Nancy 54500 @3 FRA @Z 1 aut.`
A14	`02`			`@1 CNRS, LEMTA, UMR 7563 @2 Vandoeuvre-lès-Nancy 54500 @3 FRA @Z 1 aut.`
A14	`03`			`@1 Université de Lorraine, LRGP, UMR 7274 @2 Nancy 54501 @3 FRA @Z 2 aut.`
A14	`04`			`@1 CNRS, LRGP, UMR 7274 @2 Nancy 54501 @3 FRA @Z 2 aut.`
A20				`@1 1-10`
A21				`@1 2014`
A23	`01`			`@0 ENG`
A43	`01`			`@1 INIST @2 16459 @5 354000506141720010`
A44				`@0 0000 @1 © 2014 INIST-CNRS. All rights reserved.`
A45				`@0 1/4 p.`
A47	`01`	`1`		`@0 14-0090625`
A60				`@1 P`
A61				`@0 A`
A64	`01`	`1`		`@0 International journal of multiphase flow`
A66	`01`			`@0 GBR`
C01	`01`		`ENG`	@0 Nowadays, two families of stochastic models are mainly used to predict the dispersion of inertial particles in inhomogeneous turbulent flows. This first one is named "normalized model" and the second one "Generalized Langevin Model (GLM)". Nevertheless, the main differences between the normalized and GLM models have not been thoroughly investigated. Is there a model which is more suitable to predict the particle dispersion in inhomogeneous turbulence? We propose in the present study to clarify this point by computing a particle-laden turbulent channel flow using a GLM-type model, and also a normalized-type model. Particle statistics (such as concentration, mean and rms particle velocity, fluid-particle velocity covariances) will be provided and compared to Direct Numerical Simulation (DNS) data in order to assess the performance of both dispersion models. It will be shown that the normalized dispersion model studied can predict correctly the effect of particle inertia on some dispersion statistics, but not on all. For instance, it was found that the prediction of the particle kinetic shear stress and some components of the fluid-particle covariance is not physically acceptable.
C02	`01`	`3`		`@0 001B40G55K`
C03	`01`	`3`	`FRE`	`@0 Ecoulement diphasique @5 02`
C03	`01`	`3`	`ENG`	`@0 Two-phase flow @5 02`
C03	`02`	`3`	`FRE`	`@0 Ecoulement turbulent @5 03`
C03	`02`	`3`	`ENG`	`@0 Turbulent flow @5 03`
C03	`03`	`3`	`FRE`	`@0 Ecoulement conduite @5 04`
C03	`03`	`3`	`ENG`	`@0 Pipe flow @5 04`
C03	`04`	`X`	`FRE`	`@0 Modèle stochastique @5 08`
C03	`04`	`X`	`ENG`	`@0 Stochastic model @5 08`
C03	`04`	`X`	`SPA`	`@0 Modelo estocástico @5 08`
C03	`05`	`X`	`FRE`	`@0 Suspension particule @5 09`
C03	`05`	`X`	`ENG`	`@0 Particle suspension @5 09`
C03	`05`	`X`	`SPA`	`@0 Suspensión partícula @5 09`
C03	`06`	`3`	`FRE`	`@0 Modélisation @5 15`
C03	`06`	`3`	`ENG`	`@0 Modelling @5 15`
C03	`07`	`3`	`FRE`	`@0 Simulation numérique @5 16`
C03	`07`	`3`	`ENG`	`@0 Digital simulation @5 16`
C03	`08`	`X`	`FRE`	`@0 Dispersion hydrodynamique @5 29`
C03	`08`	`X`	`ENG`	`@0 Hydrodynamic dispersion @5 29`
C03	`08`	`X`	`SPA`	`@0 Dispersión hidrodinámica @5 29`
C03	`09`	`3`	`FRE`	`@0 4755K @4 INC @5 56`
N21				`@1 118`

Format Inist (serveur)

NO :	PASCAL 14-0090625 INIST
ET :	Prediction of a particle-laden turbulent channel flow: Examination of two classes of stochastic dispersion models
AU :	TANIERE (A.); ARCEN (B.)
AF :	Université de Lorraine, LEMTA, UMR 7563/Vandoeuvre-lès-Nancy 54500/France (1 aut.); CNRS, LEMTA, UMR 7563/Vandoeuvre-lès-Nancy 54500/France (1 aut.); Université de Lorraine, LRGP, UMR 7274/Nancy 54501/France (2 aut.); CNRS, LRGP, UMR 7274/Nancy 54501/France (2 aut.)
DT :	Publication en série; Niveau analytique
SO :	International journal of multiphase flow; ISSN 0301-9322; Coden IJMFBP; Royaume-Uni; Da. 2014; Vol. 60; Pp. 1-10; Bibl. 1/4 p.
LA :	Anglais
EA :	Nowadays, two families of stochastic models are mainly used to predict the dispersion of inertial particles in inhomogeneous turbulent flows. This first one is named "normalized model" and the second one "Generalized Langevin Model (GLM)". Nevertheless, the main differences between the normalized and GLM models have not been thoroughly investigated. Is there a model which is more suitable to predict the particle dispersion in inhomogeneous turbulence? We propose in the present study to clarify this point by computing a particle-laden turbulent channel flow using a GLM-type model, and also a normalized-type model. Particle statistics (such as concentration, mean and rms particle velocity, fluid-particle velocity covariances) will be provided and compared to Direct Numerical Simulation (DNS) data in order to assess the performance of both dispersion models. It will be shown that the normalized dispersion model studied can predict correctly the effect of particle inertia on some dispersion statistics, but not on all. For instance, it was found that the prediction of the particle kinetic shear stress and some components of the fluid-particle covariance is not physically acceptable.
CC :	001B40G55K
FD :	Ecoulement diphasique; Ecoulement turbulent; Ecoulement conduite; Modèle stochastique; Suspension particule; Modélisation; Simulation numérique; Dispersion hydrodynamique; 4755K
ED :	Two-phase flow; Turbulent flow; Pipe flow; Stochastic model; Particle suspension; Modelling; Digital simulation; Hydrodynamic dispersion
SD :	Modelo estocástico; Suspensión partícula; Dispersión hidrodinámica
LO :	INIST-16459.354000506141720010
ID :	14-0090625

Links to Exploration step

Pascal:14-0090625

Le document en format XML

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<front><div type="abstract" xml:lang="en">Nowadays, two families of stochastic models are mainly used to predict the dispersion of inertial particles in inhomogeneous turbulent flows. This first one is named "normalized model" and the second one "Generalized Langevin Model (GLM)". Nevertheless, the main differences between the normalized and GLM models have not been thoroughly investigated. Is there a model which is more suitable to predict the particle dispersion in inhomogeneous turbulence? We propose in the present study to clarify this point by computing a particle-laden turbulent channel flow using a GLM-type model, and also a normalized-type model. Particle statistics (such as concentration, mean and rms particle velocity, fluid-particle velocity covariances) will be provided and compared to Direct Numerical Simulation (DNS) data in order to assess the performance of both dispersion models. It will be shown that the normalized dispersion model studied can predict correctly the effect of particle inertia on some dispersion statistics, but not on all. For instance, it was found that the prediction of the particle kinetic shear stress and some components of the fluid-particle covariance is not physically acceptable.</div>
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<ET>Prediction of a particle-laden turbulent channel flow: Examination of two classes of stochastic dispersion models</ET>
<AU>TANIERE (A.); ARCEN (B.)</AU>
<AF>Université de Lorraine, LEMTA, UMR 7563/Vandoeuvre-lès-Nancy 54500/France (1 aut.); CNRS, LEMTA, UMR 7563/Vandoeuvre-lès-Nancy 54500/France (1 aut.); Université de Lorraine, LRGP, UMR 7274/Nancy 54501/France (2 aut.); CNRS, LRGP, UMR 7274/Nancy 54501/France (2 aut.)</AF>
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<EA>Nowadays, two families of stochastic models are mainly used to predict the dispersion of inertial particles in inhomogeneous turbulent flows. This first one is named "normalized model" and the second one "Generalized Langevin Model (GLM)". Nevertheless, the main differences between the normalized and GLM models have not been thoroughly investigated. Is there a model which is more suitable to predict the particle dispersion in inhomogeneous turbulence? We propose in the present study to clarify this point by computing a particle-laden turbulent channel flow using a GLM-type model, and also a normalized-type model. Particle statistics (such as concentration, mean and rms particle velocity, fluid-particle velocity covariances) will be provided and compared to Direct Numerical Simulation (DNS) data in order to assess the performance of both dispersion models. It will be shown that the normalized dispersion model studied can predict correctly the effect of particle inertia on some dispersion statistics, but not on all. For instance, it was found that the prediction of the particle kinetic shear stress and some components of the fluid-particle covariance is not physically acceptable.</EA>
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Prediction of a particle-laden turbulent channel flow: Examination of two classes of stochastic dispersion models

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

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Descripteurs français

English descriptors

Abstract

Notice en format standard (ISO 2709)

Format Inist (serveur)

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri