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Direct simulation of particulate flow Minev, Peter
Description
Talk: Regular Abstract: This study presents a development of the direction splitting algorithm for problems in complex geometries proposed [1] to the case of flows containing rigid particles. The main novelty of this method is that the grid can be very easily fit to the boundaries of the particle and therefore the spatial discretization is very accurate. This is made possible by the direction splitting algorithm of [1]. It factorizes the parabolic part of the operator direction wise and this allows to discretize in space each of the one-dimensional operators by adapting the grid to fit the boundary only in the given direction. Here we use a MAC discretization stencil but the same idea can be applied to other discretizations. Then the equations of motion of each particle are discretized explicitly and the so-computed particle velocity is imposed as a Dirichlet boundary condition for the momentum equations on the adapted grid. The pressure is extended within the particles in a fictitious domain fashion. Finally, the presentation will demonstrate the accuracy and stability of the method on various benchmark problems involving rigid particles (see [2]). In addition, some results of direct simulations of fluidized beds involving thousands and millions of particles will be presented. Further details of these simulations can be found in [2]. [1]. Ph. Angot, J. Keating, P. Minev, A Direction Splitting Algorithm for Incompressible Flow in Complex Geometries. Comp. Meth. Appl. Mech. Engng. 217 (2012), 111–120. [2]. J. Keating, P. Minev, A Fast Algorithm for Direct Simulation of Particulate Flows Using Conforming Grids. J. Comp. Phys. 255 (2013), 486–501.
Item Metadata
Title |
Direct simulation of particulate flow
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Creator | |
Publisher |
Banff International Research Station for Mathematical Innovation and Discovery
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Date Issued |
2016-08-10T10:10
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Description |
Talk: Regular
Abstract: This study presents a development of the direction splitting algorithm for problems in complex geometries proposed [1] to the case of flows containing rigid particles. The main novelty of this method is that the grid can be very easily fit to the boundaries of the particle and therefore the spatial discretization is very accurate. This is made possible by the direction splitting algorithm of [1]. It factorizes the parabolic part of the operator direction wise and this allows to discretize in space each of the one-dimensional operators by adapting the grid to fit the boundary only in the given direction. Here we use
a MAC discretization stencil but the same idea can be applied to other discretizations. Then the equations of motion of each particle are discretized explicitly and the so-computed particle velocity is imposed as a Dirichlet boundary condition for the momentum equations on the adapted grid. The pressure is extended within the particles in a fictitious domain fashion.
Finally, the presentation will demonstrate the accuracy and stability of the method on various benchmark problems involving rigid particles (see [2]). In addition, some results of direct simulations of fluidized beds involving thousands and millions of particles will be presented. Further details of these simulations can be found in [2].
[1]. Ph. Angot, J. Keating, P. Minev, A Direction Splitting Algorithm for Incompressible
Flow in Complex Geometries. Comp. Meth. Appl. Mech. Engng. 217 (2012),
111–120.
[2]. J. Keating, P. Minev, A Fast Algorithm for Direct Simulation of Particulate Flows Using
Conforming Grids. J. Comp. Phys. 255 (2013), 486–501.
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Extent |
27 minutes
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Subject | |
Type | |
File Format |
video/mp4
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Language |
eng
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Notes |
Author affiliation: University of Alberta
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Series | |
Date Available |
2017-02-09
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Provider |
Vancouver : University of British Columbia Library
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Rights |
Attribution-NonCommercial-NoDerivatives 4.0 International
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DOI |
10.14288/1.0342694
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URI | |
Affiliation | |
Peer Review Status |
Unreviewed
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Scholarly Level |
Faculty
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Rights URI | |
Aggregated Source Repository |
DSpace
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Item Media
Item Citations and Data
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International