Models, algorithms and validation for opensource DEM and CFD-DEM

Kloss, Christoph; Goniva, Christoph; Hager, Alice; Amberger, Stefan; Pirker, Stefan

doi:10.1504/pcfd.2012.047457

Cited by 1,418 publications

(694 citation statements)

References 28 publications

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“…In this paper the simulation rests on the Discrete Element Method code ''LIGGGHTS'' initially employed by Kloss et al [15,16]. The code is enhanced edition of the granular package of classical MD simulator LAMMPS [17] and is executed in a new Hertz-Mindlin granular contact model.…”

Section: Simulation Methodsmentioning

confidence: 99%

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Simulation Techniques for Porous Media Confined in Silo Geometry

Qadir

Memon

2016

MATEC Web of Conferences

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Abstract. Granular materials have vast applications both in industry and in daily life. They display quite interesting and exceptional properties different from the other known forms of matter. To investigate the complex properties of particulate materials, experimental, analytical and simulation techniques have been employed. In this paper the results of large-scale discrete element molecular dynamics (DEM) simulations in three dimensions are reported. It deals with the investigation of stress deflection due to various grain sizes. Moreover, the influence of coefficient of friction between granules and cylindrical walls on the mass measured at bottom of container i.e. apparent mass is thoroughly investigated. It is revealed that apparent mass varies linearly with the grain size. In addition to that, it is also found that the apparent mass variation is strongly dependent on bead diameter rather than the silo. The results reveal that conversion of vertical stresses into horizontal in silo is mainly due to the friction between the grain and system boundary.

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Section: Simulation Methodsmentioning

confidence: 99%

“…In the beginning volume fraction was found to be 0.13 and finally reaches ~ 0.615. The model and techniques can be found in contemporary research [15][16][17]. The simulations were run until the kinetic energy per bead became the least.…”

Section: Simulation Methodsmentioning

confidence: 99%

Simulation Techniques for Porous Media Confined in Silo Geometry

Qadir

Memon

2016

MATEC Web of Conferences

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“…(11) is applied, one ends up in the same order of magnitude for e 0 as the result of the inverse problem approach. For details on the DEM model implemented in the open source software LIGGGHTS, see [15].…”

Section: Granular Flow Modelingmentioning

confidence: 99%

Virtual Characterization of Dense Granular Flow through a Vertically Rotating Feeding Experiment

et al. 2017

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The applicability of continuum granular flow models relies on the characterization of the macroscopic constituting relations of such models. Recent works have presented relations especially for the granular viscosity in certain well-defined experiments. Here, a different, highly dynamic, yet dense granular flow experiment using a vertically rotating feeding device with an off-centered rotating bottom opening together with an inverse problem approach of model essential parameters is described. For validation purposes, glass beads are used, even though the method is developed for a broader scope of materials. The same workflow is applied to a continuum and a discrete element method (DEM) model and results with a relative error in a comparable range are obtained.

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“…The described workflow was developed and implemented using the open-source DEM software LIGGGHTS [29]. Since DEM material model calibration is time-consuming, the workflow is implemented into an automated process chain using GNU Octave.…”

Section: Work Flow Of the Proposed Calibration Processmentioning

confidence: 99%

Efficient Calibration of Discrete Element Material Model Parameters Using Latin Hypercube Sampling and Kriging

Rackl¹,

Görnig²,

Hanley³

et al. 2016

Proceedings of the VII European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2016)

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Abstract. Material model parameter identification for discrete element models (DEM) is typically done using a trial-and-error approach and its outcome depends largely on the experience of the DEM user. This paper describes a work flow which facilitates the efficient and systematic calibration of discrete element material models against experimental data. The described workflow comprises three steps. In the first step, an approach based on the design and analysis of computer experiments (DACE) is adopted in which data is generated for the parametrisation of Kriging models based on Latin hypercube sampling. In the second step, multi-objective optimisation is applied to the Kriging models. This study introduces an additional cost criterion, which includes the Rayleigh time step, in order to reduce the solution set size to one element. In the third step, the optimisation procedure is repeated with the actual DEM models, using the optimal parameter set from the Kriging models as the start value. This final step with the full DEM models refines the parameter set against experimental data. Since DEM material model calibration is time-consuming, the workflow is implemented into an automated process chain. In this paper, the methodology is described in detail and results are shown which illustrate the usefulness and effectiveness of this approach. Initial verification simulations run using the calibrated parameters give good agreement with experimental results.

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Models, algorithms and validation for opensource DEM and CFD-DEM

Cited by 1,418 publications

References 28 publications

Simulation Techniques for Porous Media Confined in Silo Geometry

Simulation Techniques for Porous Media Confined in Silo Geometry

Virtual Characterization of Dense Granular Flow through a Vertically Rotating Feeding Experiment

Efficient Calibration of Discrete Element Material Model Parameters Using Latin Hypercube Sampling and Kriging

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