Coupling of dilated polyhedral DEM and SPH for the simulation of rock dumping process in waters

Liu, Lu; Zhang, Puran; Xie, Peng; Ji, Shunying

doi:10.1016/j.powtec.2020.06.095

Cited by 19 publications

(2 citation statements)

References 59 publications

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“…The above codes are of great interest to the scientific [6] and engineering [7] communities. However, the codes listed above do not pay particular attention to tiny particles where their interactions involve not only collision-repulsive forces [8] but also cohesive forces [9] where the interaction begins before the physical contact. As the particle size decreases, we observe qualitatively different effects, i.e.…”

Section: Introductionmentioning

confidence: 99%

Sensitivity analysis of the dynamics of fine and ultrafine particles using DEM

Leszczyński

2022

Nonlinear Dyn

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In this paper, we focus on particle–particle and particle–wall interactions considering tiny particle dimensions and the processes and phenomena arising from the contact dynamics. This has the important implication that the discrete element method can be used for large-scale computations as well as for tiny particles, i.e. particles with fine and ultrafine dimensions. Particular attention is paid to the granular cohesion dynamics where the particles interact prior to their physical stick. We investigate the sensitivity of the interactions, i.e. we assess how particle size distribution, frictional forms of particle–particle and particle–wall collisions and Van der Waals or liquid cohesive forces shape the particle motions. Through computations, we show how neglecting the above features influences computations of particle positions and particle linear and angular velocities over time.

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Section: Introductionmentioning

confidence: 99%

Sensitivity analysis of the dynamics of fine and ultrafine particles using DEM

Leszczyński

2022

Nonlinear Dyn

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“…9 The collisions are calculated by solving the intersections of these functions which is nontrivial due to the nonlinearity of these equations. In discrete approach, the particle shapes are represented by discrete elements such as faces in polyhedron, 10 spheres in the multi-sphere or glued sphere, 11 and spine lines in nonuniform rational basis splines (NURBS) approach. 12 The justification for the existence of these different elements reflects the complexity and diversity of irregular shapes.…”

Section: Introductionmentioning

confidence: 99%

Open source implementation of glued sphere discrete element method and nonspherical biomass fast pyrolysis simulation

Shahnam

Rogers

2021

AIChE Journal

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In this research, a glued-sphere discrete element method was implemented in the open-source, computational fluid dynamics software MFiX. The implementation was verified using a cylinder-wall collision and then validated by simulating the packing and fluidization of nonspherical particles. The validated code was applied to simulate fast pyrolysis of nonspherical biomass particles in a bubbling fluidized bed. The glued sphere occupancy ratio was proposed to quantify the quality of shape resolution using glued sphere. Shape resolution showed significant influence on the packing height in the simulation of particle packing and an occupancy ratio of 80% was recommended. Its influence is minor in fully fluidized bed but can be eight times higher in packed bed. Three tested heat transfer models predicted similar yields of elongated biomass fast pyrolysis. The solver developed in this research can be used to simulate other multiphase reacting flows involving nonspherical particles.

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Coupled two-dimensional discrete element and multibody dynamic modeling for interaction of the soil and rough shaped rigid bodies

Ding

Liu

2022

Acta Mech. Sin.

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Coupling of dilated polyhedral DEM and SPH for the simulation of rock dumping process in waters

Cited by 19 publications

References 59 publications

Sensitivity analysis of the dynamics of fine and ultrafine particles using DEM

Sensitivity analysis of the dynamics of fine and ultrafine particles using DEM

Open source implementation of glued sphere discrete element method and nonspherical biomass fast pyrolysis simulation

Coupled two-dimensional discrete element and multibody dynamic modeling for interaction of the soil and rough shaped rigid bodies

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