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A mean-strain estimate for plastic particles intended for distinct-particle simulations at high relative density
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Pharmacy, Department of Pharmaceutical Biosciences.ORCID iD: 0000-0003-4013-9704
2024 (English)In: Computer Methods in Applied Mechanics and Engineering, ISSN 0045-7825, E-ISSN 1879-2138, Vol. 431, article id 117257Article in journal (Refereed) Published
Abstract [en]

The kinematics of polydisperse granular materials comprised of overlapping spheres is carefully analysed. A single-particle strain estimate is developed that summaries the deformation experienced by each particle in terms of a mean deformation gradient. This strain estimate accounts for material displaced at interparticle contacts as well as a compensatory motion of the free particle surface. Forces that are work-conjugate to the mean deformation gradient are determined; they constitute the many-body forces required for a correct mechanical behaviour in the zero-porosity limit. Notwithstanding this, pairwise interparticle forces are needed for two main reasons; they dominate the particle interactions at small overlaps and stabilise the formulation in the continuum limit. Numerical simulations are performed to demonstrate the properties of the single-particle strain estimate and to test certain aspects of the formulation. In particular, it is demonstrated that the formulation can accommodate large rotations and provides a mechanical response consistent with that of a solid material in the zero-porosity limit. It is concluded that this work forms the basis for future developments aiming at formulation of realistic contact models for plastic particles and macroscopically consistent discrete methods for granular materials.

Place, publisher, year, edition, pages
Elsevier, 2024. Vol. 431, article id 117257
Keywords [en]
Granular mechanics, Strain estimate, Discrete element method, High relative density, Bulk elastic regime
National Category
Applied Mechanics
Identifiers
URN: urn:nbn:se:uu:diva-537078DOI: 10.1016/j.cma.2024.117257ISI: 001291021200001OAI: oai:DiVA.org:uu-537078DiVA, id: diva2:1893045
Funder
Vinnova, 2019-00048Swedish Research Council, 2022-06725Available from: 2024-08-28 Created: 2024-08-28 Last updated: 2024-08-28Bibliographically approved

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Frenning, Göran
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