dense granular flows
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2021 ◽  
Vol 127 (27) ◽  
Author(s):  
M. Reza Shaebani ◽  
János Török ◽  
Maniya Maleki ◽  
Mahnoush Madani ◽  
Matt Harrington ◽  
...  

Author(s):  
Zhigang Guo ◽  
Xing Tian ◽  
Zhoutuo Tan ◽  
Jian Yang ◽  
Shang Zhang ◽  
...  

Soft Matter ◽  
2021 ◽  
Author(s):  
Riccardo Artoni ◽  
Michele Larcher ◽  
James T. Jenkins ◽  
Patrick Richard

The self-diffusivity tensor in homogeneously sheared dense granular flows is anisotropic. We show how its components depend on solid fraction, restitution coefficient, shear rate, and granular temperature.


2021 ◽  
Vol 249 ◽  
pp. 03035
Author(s):  
Matthew Macaulay ◽  
Pierre Rognon

This paper is concerned with the physical mechanisms controlling shear-induced diffusion in dense granular flows. The starting point is that of the granular random walk occurring in diluted granular flows, which underpins Bagnold’s scaling relating the coefficient of self-diffusion to the grain size and shear rate. By means of DEM simulations of plane shear flows, we measure some deviations from this scaling in dense granular flows with and without contact adhesion. We propose to relate these deviations to the development of correlated motion of grains in these flows, which impacts the magnitude of grain velocity fluctuations and their time persistence.


2021 ◽  
Vol 249 ◽  
pp. 01004
Author(s):  
Anthony Thornton

Segregation in dense granular flows is a large problem in many areas of industry and the natural environment. In the last few years an advection-diffusion style framework has been shown to capture segregation in many geometries. Here, we review the different ways such a framework has been obtained by different authors, compare the forms and make recommendations for the best form to use. Finally, we briefly outline some of the remaining open-questions.


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