Modelování proudu kanálem s cásticemi pomoci LArge Eddy Simulation: Subgridní modelování v pohybové rovnici cástce

Large Eddy Simulation of particle laden channel flow: Subgrid modeling in particle equation of motion

článek ve sborníku ve WoS nebo Scopus

en

This work contains the study of turbulent particle-laden channel flow. The method used for simulation of the liquid phase was Large Eddy Simulation using approximate deconvolution method as a subgrid model. For tracking the dispersed phase were used Lagrangian equations of motion. The effect of subgrid scales on motion of particles is obtained by adding the stochastic term into particle equation of motion. This term is proportional to the subgrid kinetic energy. The simulations were performed for various size of particles. The results are compared with the previous studies of LES particle-laden flows and DNS simulation done by Kuerten. The stochastic model proposed in this work shows improvement in prediction of turbulent statistics of particles and concentration of particles close to the wall.

Tato práce obsahuje studii turbulentního proudu s cásticemi kanálem. Pro simulaci kapalné fáze byla použita metoda Large Eddy Simulation používající model približné dekonvoluce jako subgridní model. Pro zachuceni disperzní fáze bylo pouzito Lagrangeových pohybových rovnic. Vlivu subgridních merítek na pohyb cástic bylo dosazeno pridáním stochastického clene do pohybovych rovnic. Tento clen je úmerný subgridní kinetické energii. Simulace byly provedeny pro ruzne velikosti castic. Vysledky jsou porovnany s predchozimi LES studiemi. Navržený stochastický model dosahuje vetší presnosti v predikci turbulentních statistik cástic a jejich koncentrace u sten.

This work contains the study of turbulent particle-laden channel flow. The method used for simulation of the liquid phase was Large Eddy Simulation using approximate deconvolution method as a subgrid model. For tracking the dispersed phase were used Lagrangian equations of motion. The effect of subgrid scales on motion of particles is obtained by adding the stochastic term into particle equation of motion. This term is proportional to the subgrid kinetic energy. The simulations were performed for various size of particles. The results are compared with the previous studies of LES particle-laden flows and DNS simulation done by Kuerten. The stochastic model proposed in this work shows improvement in prediction of turbulent statistics of particles and concentration of particles close to the wall.

large eddy simulation, particles, subgridni modelovani

large eddy simulation, particles, subgrid modeling

2009

25.10.2009

CIMNE

Barcelona

978-84-96736-82-5

Particle-Based Methods: Fundamentals and Applications

1

208–211

4