Generation of dense granular deposits for porosity analysis: assessment and application of large-scale non-smooth granular dynamics

Beitrag in einer Fachzeitschrift


Details zur Publikation

Autorinnen und Autoren: Schruff T, Liang R, Rüde U, Schüttrumpf H, Frings RM
Zeitschrift: Computational Particle Mechanics
Verlag: Springer International Publishing
Jahr der Veröffentlichung: 2018
Band: 5
Heftnummer: 1
Seitenbereich: 59--70
ISSN: 2196-4378
eISSN: 2196-4386


Abstract

The knowledge of structural properties of granular materials such as porosity is highly important in many application-oriented and scientific fields. In this paper we present new results of computer-based packing simulations where we use the non-smooth granular dynamics (NSGD) method to simulate gravitational random dense packing of spherical particles with various particle size distributions and two types of depositional conditions. A bin packing scenario was used to compare simulation results to laboratory porosity measurements and to quantify the sensitivity of the NSGD regarding critical simulation parameters such as time step size. The results of the bin packing simulations agree well with laboratory measurements across all particle size distributions with all absolute errors below 1%. A large-scale packing scenario with periodic side walls was used to simulate the packing of up to 855,600 spherical particles with various particle size distributions (PSD). Simulation outcomes are used to quantify the effect of particle-domain-size ratio on the packing compaction. A simple correction model, based on the coordination number, is employed to compensate for this effect on the porosity and to determine the relationship between PSD and porosity. Promising accuracy and stability results paired with excellent computational performance recommend the application of NSGD for large-scale packing simulations, e.g. to further enhance the generation of representative granular deposits.


FAU-Autorinnen und Autoren / FAU-Herausgeberinnen und Herausgeber

Rüde, Ulrich Prof. Dr.
Lehrstuhl für Informatik 10 (Systemsimulation)


Einrichtungen weiterer Autorinnen und Autoren

Rheinisch-Westfälische Technische Hochschule (RWTH) Aachen


Zitierweisen

APA:
Schruff, T., Liang, R., Rüde, U., Schüttrumpf, H., & Frings, R.M. (2018). Generation of dense granular deposits for porosity analysis: assessment and application of large-scale non-smooth granular dynamics. Computational Particle Mechanics, 5(1), 59--70. https://dx.doi.org/10.1007/s40571-016-0153-0

MLA:
Schruff, Tobias, et al. "Generation of dense granular deposits for porosity analysis: assessment and application of large-scale non-smooth granular dynamics." Computational Particle Mechanics 5.1 (2018): 59--70.

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Zuletzt aktualisiert 2019-08-04 um 17:10