Homogenization of Granular Material Modeled by a 3D DEM

Wellmann, Christian; Wriggers, Peter

doi:10.1007/978-94-007-0735-1_8

Cited by 4 publications

(3 citation statements)

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“…To perform contact detection, it applies a method based on the Verlet lists 32 . This is a widely used approach for particle‐based simulations 33,34 . Its main idea is as follows: for each particle

P_{i}

, a list of all neighboring particles or walls located within a certain cut‐off distance (Verlet distance)

L_{v}

is found and stored.…”

Section: Calculation Algorithmmentioning

confidence: 99%

“…32 This is a widely used approach for particle-based simulations. 33,34 Its main idea is as follows: for each particle P i , a list of all neighboring particles or walls located within a certain cut-off distance (Verlet distance) L v is found and stored. Thereafter, to detect all the contacts of P i it is enough to take into account and analyze only the potential contacts from this list.…”

Section: Contact Detection Algorithmmentioning

confidence: 99%

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Parallel CPU–GPU computing technique for discrete element method

Skorych

Dosta

2022

Concurrency and Computation

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The efficiency of the simulations with the discrete element method (DEM) is significantly improved using a novel computational strategy. The new method is developed with a focus on platforms equipped with multi-core central processing units (CPU) and general-purpose graphics processing units (GPU). The DEM calculations are performed in parallel on the CPU and on the GPU using pre-calculated Verlet lists with a posteriori analysis of their consistency. The operations related to the search for possible contacts are performed on the CPU, whereas the processing of interactions, and integration of motion, are executed on the GPU. Performance analysis done for various types of tasks has shown that the new method allows to significantly decrease the average computational time and to utilize available computational resources more efficiently compared to the sequential CPU-GPU execution mode. Furthermore, due to more efficient calculations, the overall energy requirement for the proposed strategy does not exceed the demand for conventional sequential CPU-GPU computations.

show abstract

P_{i}

, a list of all neighboring particles or walls located within a certain cut‐off distance (Verlet distance)

L_{v}

is found and stored.…”

Section: Calculation Algorithmmentioning

confidence: 99%

Section: Contact Detection Algorithmmentioning

confidence: 99%

Parallel CPU–GPU computing technique for discrete element method

Skorych

Dosta

2022

Concurrency and Computation

View full text Add to dashboard Cite

show abstract

“…The two main approaches to bridge the length scales are namely homogenization and coarse graining [40]. Homogenization averages properties over a micro-scale structure to recover macroscopc properties [24,41,19,27], while (ii) coarse graining recovers the emergent behaviour across length scales through statistical and thermodynamical principles [40,42]. Mesh-based continuum approaches such as the finite element method (FEM) [43], and finite volume method (FVM) [44], can be easily applied to estimate temperatures within irregularly shaped solids or in solids with non-uniform thermal properties.…”

Section: Numerical Modelingmentioning

confidence: 99%