Overview of existing Langevin models formalism for heavy particle dispersion in a turbulent channel flow
| Autor: | Anne Tanière, B. Arcen |
|---|---|
| Přispěvatelé: | Laboratoire Énergies et Mécanique Théorique et Appliquée (LEMTA ), Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Laboratoire Réactions et Génie des Procédés (LRGP), Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL) |
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Fluid Flow and Transfer Processes
Physics Particle statistics Turbulent channel flow Turbulent dispersion Turbulence Stochastic modelling Dispersed turbulent two-phase flows DNS Mechanical Engineering Direct numerical simulation General Physics and Astronomy 02 engineering and technology Lagrangian particle stochastic model 01 natural sciences 010305 fluids & plasmas Open-channel flow Langevin equation Physics::Fluid Dynamics [SPI]Engineering Sciences [physics] 020303 mechanical engineering & transports 0203 mechanical engineering 0103 physical sciences Particle velocity Statistical physics |
| Zdroj: | International Journal of Multiphase Flow International Journal of Multiphase Flow, Elsevier, 2016, 82, pp.106-118. ⟨10.1016/j.ijmultiphaseflow.2016.02.006⟩ |
| ISSN: | 0301-9322 |
| DOI: | 10.1016/j.ijmultiphaseflow.2016.02.006⟩ |
| Popis: | International audience; The purpose of the paper is to compare two successful families of stochastic model for the prediction of inertial particles dispersion in a turbulent channel flow. Both models are based on the Langevin equation; nevertheless, they were developed following different paths. The first model considered is named “Drift Correction model (DCM)”, and the second one is the “Generalized Langevin Model (GLM)”. To examine the capabilities of both models, a comparison of the results predicted by the DCM- and GLM-type dispersion models with those extracted from a Direct Numerical Simulation (DNS) is conducted. In the limit of vanishing particle inertia, both models can accurately predict second-order statistics. It is also noticed, as not expected, that they are very similar when they are written in the same functional form. The comparison has also been conducted with DNS data of a particle-laden channel flow. The comparison of particle statistics (such as concentration, mean and rms particle velocity, third-order particle velocity correlations) shows that both stochastic models give very satisfactory results up to second-order statistics. The DCM- and GLM-type dispersion models studied can capture the main physical mechanisms that govern particle-laden turbulent channel flows. |
| Databáze: | OpenAIRE |
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