Failure in granular materials based on acoustic tensor: a numerical analysis

We investigate localization in granular material with the support of numerical simulations based upon DEM (Distinct Element Method). Localization is associated with a discontinuity in a component of the incremental strain over a plane surface through the condition of the determinant of the acoustic...

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Main Authors: Recchia Giuseppina, Cheng Hongyang, Magnanimo Vanessa, La Ragione Luigi
Format: Article
Language:English
Published: EDP Sciences 2021-01-01
Series:EPJ Web of Conferences
Online Access:https://www.epj-conferences.org/articles/epjconf/pdf/2021/03/epjconf_pg2021_10005.pdf
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author Recchia Giuseppina
Cheng Hongyang
Magnanimo Vanessa
La Ragione Luigi
author_facet Recchia Giuseppina
Cheng Hongyang
Magnanimo Vanessa
La Ragione Luigi
author_sort Recchia Giuseppina
collection DOAJ
description We investigate localization in granular material with the support of numerical simulations based upon DEM (Distinct Element Method). Localization is associated with a discontinuity in a component of the incremental strain over a plane surface through the condition of the determinant of the acoustic tensor to be zero. DEM simulations are carried out on an aggregate of elastic frictional spheres, initially isotropically compressed and then sheared at constant pressure p0. The components of the stiffness tensor are evaluated numerically in stressed states along the triaxial test and employed to evaluate the acoustic tensor in order to predict localization. This occurs in the pre-peak region, where the aggregate hardens under the circumstance to be incrementally frictionless: it is a regime in which the tangential force does not change as the deformation proceedes and, consequently, the deviatoric stress varies only with the normal component of the contact force.
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spelling doaj.art-c63ac445c6694c47a939486d36660de72022-12-21T18:32:53ZengEDP SciencesEPJ Web of Conferences2100-014X2021-01-012491000510.1051/epjconf/202124910005epjconf_pg2021_10005Failure in granular materials based on acoustic tensor: a numerical analysisRecchia Giuseppina0Cheng Hongyang1Magnanimo Vanessa2La Ragione Luigi3DICATEChCME, University of TwenteCME, University of TwenteDICATEChWe investigate localization in granular material with the support of numerical simulations based upon DEM (Distinct Element Method). Localization is associated with a discontinuity in a component of the incremental strain over a plane surface through the condition of the determinant of the acoustic tensor to be zero. DEM simulations are carried out on an aggregate of elastic frictional spheres, initially isotropically compressed and then sheared at constant pressure p0. The components of the stiffness tensor are evaluated numerically in stressed states along the triaxial test and employed to evaluate the acoustic tensor in order to predict localization. This occurs in the pre-peak region, where the aggregate hardens under the circumstance to be incrementally frictionless: it is a regime in which the tangential force does not change as the deformation proceedes and, consequently, the deviatoric stress varies only with the normal component of the contact force.https://www.epj-conferences.org/articles/epjconf/pdf/2021/03/epjconf_pg2021_10005.pdf
spellingShingle Recchia Giuseppina
Cheng Hongyang
Magnanimo Vanessa
La Ragione Luigi
Failure in granular materials based on acoustic tensor: a numerical analysis
EPJ Web of Conferences
title Failure in granular materials based on acoustic tensor: a numerical analysis
title_full Failure in granular materials based on acoustic tensor: a numerical analysis
title_fullStr Failure in granular materials based on acoustic tensor: a numerical analysis
title_full_unstemmed Failure in granular materials based on acoustic tensor: a numerical analysis
title_short Failure in granular materials based on acoustic tensor: a numerical analysis
title_sort failure in granular materials based on acoustic tensor a numerical analysis
url https://www.epj-conferences.org/articles/epjconf/pdf/2021/03/epjconf_pg2021_10005.pdf
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AT magnanimovanessa failureingranularmaterialsbasedonacoustictensoranumericalanalysis
AT laragioneluigi failureingranularmaterialsbasedonacoustictensoranumericalanalysis