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  Measuring and upscaling micromechanical interactions in a cohesive granular material

Hemmerle, A., Yamaguchi, Y., Makowski, M., Bäumchen, O., & Goehring, L. (2021). Measuring and upscaling micromechanical interactions in a cohesive granular material. Soft Matter, 17, 5806-5814. doi:10.1039/D1SM00458A.

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Genre: Journal Article

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 Creators:
Hemmerle, Arnaud1, Author              
Yamaguchi, Yuta, Author
Makowski, Marcin2, Author              
Bäumchen, Oliver2, Author              
Goehring, Lucas, Author
Affiliations:
1Group Pattern formation in the geosciences, Department of Dynamics of Complex Fluids, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society, ou_2063304              
2Group Dynamics of fluid and biological interfaces, Department of Dynamics of Complex Fluids, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society, ou_2063300              

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 Abstract: The mechanical properties of a disordered heterogeneous medium depend, in general, on a complex interplay between multiple length scales. Connecting local interactions to macroscopic observables, such as stiffness or fracture, is thus challenging in this type of material. Here, we study the properties of a cohesive granular material composed of glass beads held together by soft polymer bridges. We characterise the mechanical response of single bridges under traction and shear, using a setup based on the deflection of flexible micropipettes. These measurements, along with information from X-ray microtomograms of the granular packings, then inform large-scale discrete element model (DEM) simulations. Although simple, these simulations are constrained in every way by empirical measurement and accurately predict mechanical responses of the aggregates, including details on their compressive failure, and how the material’s stiffness depends on the stiffness and geometry of its parts. By demonstrating how to accurately relate microscopic information to macroscopic properties, these results provide new perspectives for predicting the behaviour of complex disordered materials, such as porous rock, snow, or foam.

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Language(s): eng - English
 Dates: 20212021
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1039/D1SM00458A
 Degree: -

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Title: Soft Matter
Source Genre: Journal
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Pages: 9 Volume / Issue: 17 Sequence Number: - Start / End Page: 5806 - 5814 Identifier: ISSN: 1744-683X
ISSN: 1744-6848