Ordered/disordered monodisperse dense granular flow down an inclined plane: dry versus wet media in the capillary bridge regime

2021 ◽  
Vol 23 (3) ◽  
Author(s):  
Halimeh Moharamkhani ◽  
Reza Sepehrinia ◽  
Mostafa Taheri ◽  
Morteza Jalalvand ◽  
Martin Brinkmann ◽  
...  
2019 ◽  
Vol 864 ◽  
pp. 1026-1057 ◽  
Author(s):  
J. S. Fannon ◽  
I. R. Moyles ◽  
A. C. Fowler

We consider the instability properties of dense granular flow in inclined plane and plane shear geometries as tests for the compressible inertial-dependent rheology. The model, which is a recent generalisation of the incompressible $\unicode[STIX]{x1D707}(I)$ rheology, constitutes a hydrodynamical description of dense granular flow which allows for variability in the solids volume fraction. We perform a full linear stability analysis of the model and compare its predictions to existing experimental data for glass beads on an inclined plane and discrete element simulations of plane shear in the absence of gravity. In the case of the former, we demonstrate that the compressible model can quantitatively predict the instability properties observed experimentally, and, in particular, we find that it performs better than its incompressible counterpart. For the latter, the qualitative behaviour of the plane shear instability is also well captured by the compressible model.


2010 ◽  
Author(s):  
V. Kumaran ◽  
Joe Goddard ◽  
Pasquale Giovine ◽  
James T. Jenkins

Author(s):  
Alessandro Tasora ◽  
Mihai Anitescu

Aiming at the simulation of dense granular flows, we propose and test a numerical method based on successive convex complementarity problems. This approach originates from a multibody description of the granular flow: all the particles are simulated as rigid bodies with arbitrary shapes and frictional contacts. Unlike the discrete element method (DEM), the proposed approach does not require small integration time steps typical of stiff particle interaction; this fact, together with the development of optimized algorithms that can run also on parallel computing architectures, allows an efficient application of the proposed methodology to granular flows with a large number of particles. We present an application to the analysis of the refueling flow in pebble-bed nuclear reactors. Extensive validation of our method against both DEM and physical experiments results indicates that essential collective characteristics of dense granular flow are accurately predicted.


2001 ◽  
Vol 64 (5) ◽  
Author(s):  
Leonardo E. Silbert ◽  
Deniz Ertaş ◽  
Gary S. Grest ◽  
Thomas C. Halsey ◽  
Dov Levine ◽  
...  
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