Cargando…

Emergence of Shear Bands in Confined Granular Systems: Singularity of the q-Statistics

The statistics of grain displacements probability distribution function (pdf) during the shear of a granular medium displays an unusual dependence with the shear increment upscaling as recently evinced (see “experimental validation of a nonextensive scaling law in confined granular media”). Basicall...

Descripción completa

Detalles Bibliográficos
Autores principales: Viallon-Galinier, Léo, Combe, Gaël, Richefeu, Vincent, Picardi Faria Atman, Allbens
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512424/
https://www.ncbi.nlm.nih.gov/pubmed/33266586
http://dx.doi.org/10.3390/e20110862
_version_ 1783586154783703040
author Viallon-Galinier, Léo
Combe, Gaël
Richefeu, Vincent
Picardi Faria Atman, Allbens
author_facet Viallon-Galinier, Léo
Combe, Gaël
Richefeu, Vincent
Picardi Faria Atman, Allbens
author_sort Viallon-Galinier, Léo
collection PubMed
description The statistics of grain displacements probability distribution function (pdf) during the shear of a granular medium displays an unusual dependence with the shear increment upscaling as recently evinced (see “experimental validation of a nonextensive scaling law in confined granular media”). Basically, the pdf of grain displacements has clear nonextensive (q-Gaussian) features at small scales, but approaches to Gaussian characteristics at large shear window scales—the granulence effect. Here, we extend this analysis studying a larger system (more grains considered in the experimental setup), which exhibits a severe shear band fault during the macroscopic straining. We calculate the pdf of grain displacements and the dependency of the q-statistics with the shear increment. This analysis has shown a singular behavior of q at large scales, displaying a non-monotonic dependence with the shear increment. By means of an independent image analysis, we demonstrate that this singular non-monotonicity could be associated with the emergence of a shear band within the confined system. We show that the exact point where the q-value inverts its tendency coincides with the emergence of a giant percolation cluster along the system, caused by the shear band. We believe that this original approach using Statistical Mechanics tools to identify shear bands can be a very useful piece to solve the complex puzzle of the rheology of dense granular systems.
format Online
Article
Text
id pubmed-7512424
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-75124242020-11-09 Emergence of Shear Bands in Confined Granular Systems: Singularity of the q-Statistics Viallon-Galinier, Léo Combe, Gaël Richefeu, Vincent Picardi Faria Atman, Allbens Entropy (Basel) Article The statistics of grain displacements probability distribution function (pdf) during the shear of a granular medium displays an unusual dependence with the shear increment upscaling as recently evinced (see “experimental validation of a nonextensive scaling law in confined granular media”). Basically, the pdf of grain displacements has clear nonextensive (q-Gaussian) features at small scales, but approaches to Gaussian characteristics at large shear window scales—the granulence effect. Here, we extend this analysis studying a larger system (more grains considered in the experimental setup), which exhibits a severe shear band fault during the macroscopic straining. We calculate the pdf of grain displacements and the dependency of the q-statistics with the shear increment. This analysis has shown a singular behavior of q at large scales, displaying a non-monotonic dependence with the shear increment. By means of an independent image analysis, we demonstrate that this singular non-monotonicity could be associated with the emergence of a shear band within the confined system. We show that the exact point where the q-value inverts its tendency coincides with the emergence of a giant percolation cluster along the system, caused by the shear band. We believe that this original approach using Statistical Mechanics tools to identify shear bands can be a very useful piece to solve the complex puzzle of the rheology of dense granular systems. MDPI 2018-11-09 /pmc/articles/PMC7512424/ /pubmed/33266586 http://dx.doi.org/10.3390/e20110862 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Viallon-Galinier, Léo
Combe, Gaël
Richefeu, Vincent
Picardi Faria Atman, Allbens
Emergence of Shear Bands in Confined Granular Systems: Singularity of the q-Statistics
title Emergence of Shear Bands in Confined Granular Systems: Singularity of the q-Statistics
title_full Emergence of Shear Bands in Confined Granular Systems: Singularity of the q-Statistics
title_fullStr Emergence of Shear Bands in Confined Granular Systems: Singularity of the q-Statistics
title_full_unstemmed Emergence of Shear Bands in Confined Granular Systems: Singularity of the q-Statistics
title_short Emergence of Shear Bands in Confined Granular Systems: Singularity of the q-Statistics
title_sort emergence of shear bands in confined granular systems: singularity of the q-statistics
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512424/
https://www.ncbi.nlm.nih.gov/pubmed/33266586
http://dx.doi.org/10.3390/e20110862
work_keys_str_mv AT viallongalinierleo emergenceofshearbandsinconfinedgranularsystemssingularityoftheqstatistics
AT combegael emergenceofshearbandsinconfinedgranularsystemssingularityoftheqstatistics
AT richefeuvincent emergenceofshearbandsinconfinedgranularsystemssingularityoftheqstatistics
AT picardifariaatmanallbens emergenceofshearbandsinconfinedgranularsystemssingularityoftheqstatistics