Stochastic model for the micromechanics of jammed granular materials: experimental studies and numerical simulations

Stochastic model for the micromechanics of jammed granular materials: experimental studies and numerical simulations

To describe statistical properties of complicated restructuring of the force network under isotropic compression, we measure the conditional probability distributions (CPDs) of changes of overlaps and gaps between neighboring particles by experiments and numerical simulations. We find that the CPDs...

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Main Authors: Tolomeo Mathias, Saitoh Kuniyasu, Gaël Combe, Luding Stefan, Magnanimo Vanessa, Richefeu Vincent, Viggiani Gioacchino
Format: Article
Language:English
Published: EDP Sciences 2017-01-01
Series:EPJ Web of Conferences
Online Access:https://doi.org/10.1051/epjconf/201714002021
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spelling doaj-92d0a909a7f348f0835387edcb74e17b2021-08-02T17:24:39ZengEDP SciencesEPJ Web of Conferences2100-014X2017-01-011400202110.1051/epjconf/201714002021epjconf162447Stochastic model for the micromechanics of jammed granular materials: experimental studies and numerical simulationsTolomeo Mathias0Saitoh Kuniyasu1Gaël Combe2Luding Stefan3Magnanimo Vanessa4Richefeu Vincent5Viggiani Gioacchino6Univ. Grenoble Alpes, CNRS, Grenoble INP, 3SRWPI Advanced Institute for Materials Research, Tohoku UniversityUniv. Grenoble Alpes, CNRS, Grenoble INP, 3SRFaculty of Engineering Technology, MESA+, University of TwenteFaculty of Engineering Technology, MESA+, University of TwenteUniv. Grenoble Alpes, CNRS, Grenoble INP, 3SRUniv. Grenoble Alpes, CNRS, Grenoble INP, 3SRTo describe statistical properties of complicated restructuring of the force network under isotropic compression, we measure the conditional probability distributions (CPDs) of changes of overlaps and gaps between neighboring particles by experiments and numerical simulations. We find that the CPDs obtained from experiments on a 2D granular material exhibit non-Gaussian behavior, which indicates strong correlations between the configurations of overlaps and gaps before and after deformation. We also observe the non-Gaussian CPDs by molecular dynamics simulations of frictional disks in two dimensions. In addition, the numerically calculated CPDs are well described by q-Gaussian distribution functions, where the q-indices agree well with those from experiments.https://doi.org/10.1051/epjconf/201714002021
collection DOAJ
language English
format Article
sources DOAJ
author Tolomeo Mathias
Saitoh Kuniyasu
Gaël Combe
Luding Stefan
Magnanimo Vanessa
Richefeu Vincent
Viggiani Gioacchino
spellingShingle Tolomeo Mathias
Saitoh Kuniyasu
Gaël Combe
Luding Stefan
Magnanimo Vanessa
Richefeu Vincent
Viggiani Gioacchino
Stochastic model for the micromechanics of jammed granular materials: experimental studies and numerical simulations
EPJ Web of Conferences
author_facet Tolomeo Mathias
Saitoh Kuniyasu
Gaël Combe
Luding Stefan
Magnanimo Vanessa
Richefeu Vincent
Viggiani Gioacchino
author_sort Tolomeo Mathias
title Stochastic model for the micromechanics of jammed granular materials: experimental studies and numerical simulations
title_short Stochastic model for the micromechanics of jammed granular materials: experimental studies and numerical simulations
title_full Stochastic model for the micromechanics of jammed granular materials: experimental studies and numerical simulations
title_fullStr Stochastic model for the micromechanics of jammed granular materials: experimental studies and numerical simulations
title_full_unstemmed Stochastic model for the micromechanics of jammed granular materials: experimental studies and numerical simulations
title_sort stochastic model for the micromechanics of jammed granular materials: experimental studies and numerical simulations
publisher EDP Sciences
series EPJ Web of Conferences
issn 2100-014X
publishDate 2017-01-01
description To describe statistical properties of complicated restructuring of the force network under isotropic compression, we measure the conditional probability distributions (CPDs) of changes of overlaps and gaps between neighboring particles by experiments and numerical simulations. We find that the CPDs obtained from experiments on a 2D granular material exhibit non-Gaussian behavior, which indicates strong correlations between the configurations of overlaps and gaps before and after deformation. We also observe the non-Gaussian CPDs by molecular dynamics simulations of frictional disks in two dimensions. In addition, the numerically calculated CPDs are well described by q-Gaussian distribution functions, where the q-indices agree well with those from experiments.
url https://doi.org/10.1051/epjconf/201714002021
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AT saitohkuniyasu stochasticmodelforthemicromechanicsofjammedgranularmaterialsexperimentalstudiesandnumericalsimulations
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