Systemic characterization and evaluation of particle packings as initial sets for discrete element simulations

A methodology that comprises several characterization properties for particle packings is proposed in this paper. The methodology takes into account factors such as dimension and shape of particles, space occupation, homogeneity, connectivity and isotropy, among others. This classification and integ...

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Bibliographic Details
Published in:Computational particle mechanics 2018-07, Vol.5 (3), p.319-334
Main Authors: Morfa, Carlos Recarey, Cortés, Lucía Argüelles, Farias, Márcio Muniz de, Morales, Irvin Pablo Pérez, Valera, Roberto Roselló, Oñate, Eugenio
Format: Article
Language:English
Subjects:
Classical and Continuum Physics
Computational Science and Engineering
Engineering
Fuzzy logic
Fuzzy sets
Fuzzy systems
Isotropy
Methodology
Properties (attributes)
Systems analysis
Theoretical and Applied Mechanics
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Summary:A methodology that comprises several characterization properties for particle packings is proposed in this paper. The methodology takes into account factors such as dimension and shape of particles, space occupation, homogeneity, connectivity and isotropy, among others. This classification and integration of several properties allows to carry out a characterization process to systemically evaluate the particle packings in order to guarantee the quality of the initial meshes in discrete element simulations, in both the micro- and the macroscales. Several new properties were created, and improvements in existing ones are presented. Properties from other disciplines were adapted to be used in the evaluation of particle systems. The methodology allows to easily characterize media at the level of the microscale (continuous geometries—steels, rocks microstructures, etc., and discrete geometries) and the macroscale. A global, systemic and integral system for characterizing and evaluating particle sets, based on fuzzy logic, is presented. Such system allows researchers to have a unique evaluation criterion based on the aim of their research. Examples of applications are shown.
ISSN:2196-4378
2196-4386
DOI:10.1007/s40571-017-0171-6