2015
DOI: 10.1080/14786435.2015.1049237
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Micro-mechanical analysis on the onset of erosion in granular materials

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Cited by 9 publications
(5 citation statements)
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“…This may lead to a rotation of fine particles before thet lift up during the onset of erosion. This characteristics has been already identified by Harshani et al (2015) in numerical simulations. Also Galindo-Torres et al ( 2013) has modelled contact erosion for upward flow using DEM and LBM.…”
Section: Contact Erosion Studiessupporting
confidence: 66%
“…This may lead to a rotation of fine particles before thet lift up during the onset of erosion. This characteristics has been already identified by Harshani et al (2015) in numerical simulations. Also Galindo-Torres et al ( 2013) has modelled contact erosion for upward flow using DEM and LBM.…”
Section: Contact Erosion Studiessupporting
confidence: 66%
“…For the DEM, Newton's second law of motion is applied to determine the position of each particles under the driven of drag force of the pore fluid. For example, Harshani et al [24] attempted to use the coupled DEM-LBM (Lattice Boltzmann Method) scheme to model the onset of erosion in granular materials at a microscale when the fluid pass through a solid matrix in an opposing direction to gravity. In his method, the DEM was used to model particles movement, while the LBM was used to model fluid flow at a mesoscale, and the coupled DEM-LBM scheme is effective to study the internal erosion phenomena.…”
Section: Introductionmentioning
confidence: 99%
“…Apart from a very recent work based on Computational Fluid Dynamics (CFD) computation including granular kinetic theory with Eulerian approach [43], all other previous numerical investigations used a discrete particle approach to model related systems such as multiple spout-fluidized beds [29], gas-fluidized bed by DEM-CFD algorithm [44], fluidization of a cohesionless particulate bed by a localized fluid influx [45,46], or even partial fluidization of a cohesive soil layer by DEM-LBM simulation [47,48]. As in these two latter studies, combining the discrete element method and the lattice Boltzmann method appears to be a highly efficient strategy for simulating fluidgrain coupling in relation to soil mechanic issues [49][50][51] including porous flow [52], immersed granular flows [53,54], and soil erosion [55][56][57]. Building on some previous works of DEM-LBM modeling [54,58], the present study proposed a 2D modeling of partial fluidization inside a cohesionless granular sample by an upward fluid flow injected at the bottom of the grain layer with a variable width.…”
Section: Introductionmentioning
confidence: 99%