Determination of contact parameters for discrete element method simulations of granular systems

Malone, Kevin F.; Xu, Bao‐Hua

doi:10.1016/j.partic.2008.07.012

Cited by 110 publications

(68 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The value of k t is taken as (2/7)k n as suggested by Silbert et al (2001). Different authors have used values for k n ranging from 1000 N m −1 (Milburn et al 2005;Malone & Xu 2008;Biswas et al 2003) up to 18,000 N m −1 (Richard et al 2008) for similar materials, the difference being the type of system that was simulated. The former dealt with a system in which collision speeds were damped due to an interstitial fluid and the fluid was the driving mechanism behind the phenomenon that was observed.…”

Section: Particle-particle Interactionmentioning

confidence: 99%

“…In fact, the choice of parameters seems to relate to the phenomena being analyzed much more than to the nature of the materials being simulated if a linear spring-dashpot model is used. The works of Yuu (Yuu et al 1995) and Malone (Malone & Xu 2008) point to the differences and advantages of different choices in parameters. When a Hertzian spring is used the values for the elastic constants are much higher and can be calculated from the real Young's moduli and Poison's ratios of the materials (Teufelsbauer et al 2009).…”

Section: Particle-particle Interactionmentioning

confidence: 99%

“…However, the exact fraction of the natural frequency and indeed the relation used to obtain the natural frequency can differ significantly between authors (see Malone & Xu 2008 for a review). It has since become common practice in DEM codes to use a relation of the form…”

Section: Particle-particle Interactionmentioning

confidence: 99%

See 2 more Smart Citations

Simulating Asteroid Rubble Piles With a Self-Gravitating Soft-Sphere Distinct Element Method Model

Sánchez¹,

Scheeres²

2011

ApJ

View full text Add to dashboard Cite

This paper applies a soft-sphere distinct element method Granular Dynamics code to simulate asteroid regolith and rubble piles. Applications to regolith studies in low gravity are also studied. Then an algorithm to calculate self-gravity is derived and incorporated for full-scale simulations of rubble-pile asteroids using Granular Dynamics techniques. To test its validity, the algorithm's results are compared with the exact direct calculation of the gravitational forces. Further avenues to improve the performance of the algorithm are also discussed.

show abstract

Section: Particle-particle Interactionmentioning

confidence: 99%

Section: Particle-particle Interactionmentioning

confidence: 99%

See 1 more Smart Citation

Simulating Asteroid Rubble Piles With a Self-Gravitating Soft-Sphere Distinct Element Method Model

Sánchez¹,

Scheeres²

2011

ApJ

View full text Add to dashboard Cite

show abstract

“…In calculating the collision force using DEM, it is generally accepted that the DEM time step size should be less than a certain critical value. The common relational form for time step size is that defined using the particle mass and stiffness: 18) Át c C ffiffiffiffiffiffiffiffi…”

Section: Distinct Element Methodsmentioning

confidence: 99%

3D Simulation of Solid-Melt Mixture Flow with Melt Solidification Using a Finite Volume Particle Method

Mahmudah

Kumabe

Suzuki

et al. 2011

J. Nucl. Sci. Technol.

View full text Add to dashboard Cite

Relocation and freezing of molten core materials mixed with solid phases are among the important thermal-hydraulic phenomena in core disruptive accidents of a liquid-metal-cooled reactor (LMR). To simulate such behavior of molten metal mixed with solid particles flowing onto cold structures, a computational framework was investigated using two moving particle methods, namely, the finite volume particle (FVP) method and the distinct element method (DEM). In FVP, the fluid movement and phase changes are modeled through neighboring fluid particle interactions. For mixed-flow calculations, FVP was coupled with DEM to represent interactions between solid particles and between solid particles and the wall. A 3D computer code developed for solid-liquid mixture flows was validated by a series of pureand mixed-melt freezing experiments using a low-melting-point alloy. A comparison between the results of experiments and simulations demonstrates that the present computational framework based on FVP and DEM is applicable to numerical simulations of solid-liquid mixture flows with freezing process under solid particle influences.KEYWORDS: moving particle methods, finite volume particle (FVP) method, distinct element method (DEM), multiphase flow with phase change

show abstract

“…There are several approaches that have been used to reduce the computational load of DEM as mentioned by Malone and Xu [4], including the use of more advanced contact detection algorithms, parallel computing techniques, novel numerical time integration schemes, simple contact models, and a larger reasonable time step. Theoretically, all of the approaches can be used to speed up CFD-DEM simulation, but a larger time step seems like a simple one.…”

Section: Introductionmentioning

confidence: 99%

Accelerating CFD-DEM simulation of dilute pneumatic conveying with bends

Du¹,

Hu²,

Fang³

et al. 2015

International Journal of Fluid Machinery and Systems

View full text Add to dashboard Cite

The computational cost is expensive for CFD-DEM simulation, a larger time step and a simplified CFD-DEM model can be used to accelerate the simulation. The relationship between stiffness and overlap in non-linear Hertzian model is examined, and a reasonable time step is determined by a new single particle test. The simplified model is used to simulate dilute pneumatic conveying with different types of bends, and its applicability is verified by compared with the traditional model. They are good agreement in horizontal-vertical case and vertical-horizontal case, and show a significant differences in horizontal-horizontal case. But the key features of particle rope formed in different types of bends can be obtained by both models.

show abstract

Determination of contact parameters for discrete element method simulations of granular systems

Cited by 110 publications

References 41 publications

Simulating Asteroid Rubble Piles With a Self-Gravitating Soft-Sphere Distinct Element Method Model

Simulating Asteroid Rubble Piles With a Self-Gravitating Soft-Sphere Distinct Element Method Model

3D Simulation of Solid-Melt Mixture Flow with Melt Solidification Using a Finite Volume Particle Method

Accelerating CFD-DEM simulation of dilute pneumatic conveying with bends

Contact Info

Product

Resources

About