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...
Autores principales: | , , , |
---|---|
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 |