Study on Meso-Structure Evolution in Granular Matters Based on the Contact Loop Recognition and Determination Technique

On the mesoscopic scale, granular matter is tessellated into contact loops by a contact network. The stability of granular matter is highly dependent on the evolution of contact loops, including the number and area evolutions of contact loops with different geometric shapes (which can reflect the me...

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Autores principales:	Jiake Yang, Qun Qi
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	granular matter DEM contact network meso-structure macro-mechanics multivariate model Technology T Electrical engineering. Electronics. Nuclear engineering TK1-9971 Engineering (General). Civil engineering (General) TA1-2040 Microscopy QH201-278.5 Descriptive and experimental mechanics QC120-168.85
Acceso en línea:	https://doaj.org/article/5df3dd2ad8af48cdbbdc9a523e968b36
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id	oai:doaj.org-article:5df3dd2ad8af48cdbbdc9a523e968b36
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spelling	oai:doaj.org-article:5df3dd2ad8af48cdbbdc9a523e968b362021-11-11T18:06:20ZStudy on Meso-Structure Evolution in Granular Matters Based on the Contact Loop Recognition and Determination Technique10.3390/ma142165421996-1944https://doaj.org/article/5df3dd2ad8af48cdbbdc9a523e968b362021-10-01T00:00:00Zhttps://www.mdpi.com/1996-1944/14/21/6542https://doaj.org/toc/1996-1944On the mesoscopic scale, granular matter is tessellated into contact loops by a contact network. The stability of granular matter is highly dependent on the evolution of contact loops, including the number and area evolutions of contact loops with different geometric shapes (which can reflect the mechanical variables in the macroscale). For the features of numerous loops with complex geometry shapes in contact network images, a contact loop recognition and determination technique was developed in this study. Then, numerical biaxial compression tests were performed by the discrete element method (DEM) to investigate how the meso-structural indexes evolve along with the macro-mechanical indexes. The results show that the proposed <i>Q-Y</i> algorithm is effective in determining the geometric types of contact loops from contact network images. The evolution of contact loops is most active in the hardening stage, during which the number percentages of <i>L</i><sub>3</sub> (loops with three sides) and <i>L</i><sub>6+</sub> (loops with six or more sides) show opposite evolution patterns. For the area percentage, only <i>L</i><sub>6+</sub> increases while others decrease. Considering the meso-structural indexes (number percentage and area percentage of loops) are sensitive to the change of macro-mechanical indexes (deviatoric stress, axial strain, and volumetric strain) in the hardening stage. Multivariate models were established to build a bridge between the meso-structure and the macro-mechanics.Jiake YangQun QiMDPI AGarticlegranular matterDEMcontact networkmeso-structuremacro-mechanicsmultivariate modelTechnologyTElectrical engineering. Electronics. Nuclear engineeringTK1-9971Engineering (General). Civil engineering (General)TA1-2040MicroscopyQH201-278.5Descriptive and experimental mechanicsQC120-168.85ENMaterials, Vol 14, Iss 6542, p 6542 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	granular matter DEM contact network meso-structure macro-mechanics multivariate model Technology T Electrical engineering. Electronics. Nuclear engineering TK1-9971 Engineering (General). Civil engineering (General) TA1-2040 Microscopy QH201-278.5 Descriptive and experimental mechanics QC120-168.85
spellingShingle	granular matter DEM contact network meso-structure macro-mechanics multivariate model Technology T Electrical engineering. Electronics. Nuclear engineering TK1-9971 Engineering (General). Civil engineering (General) TA1-2040 Microscopy QH201-278.5 Descriptive and experimental mechanics QC120-168.85 Jiake Yang Qun Qi Study on Meso-Structure Evolution in Granular Matters Based on the Contact Loop Recognition and Determination Technique
description	On the mesoscopic scale, granular matter is tessellated into contact loops by a contact network. The stability of granular matter is highly dependent on the evolution of contact loops, including the number and area evolutions of contact loops with different geometric shapes (which can reflect the mechanical variables in the macroscale). For the features of numerous loops with complex geometry shapes in contact network images, a contact loop recognition and determination technique was developed in this study. Then, numerical biaxial compression tests were performed by the discrete element method (DEM) to investigate how the meso-structural indexes evolve along with the macro-mechanical indexes. The results show that the proposed <i>Q-Y</i> algorithm is effective in determining the geometric types of contact loops from contact network images. The evolution of contact loops is most active in the hardening stage, during which the number percentages of <i>L</i><sub>3</sub> (loops with three sides) and <i>L</i><sub>6+</sub> (loops with six or more sides) show opposite evolution patterns. For the area percentage, only <i>L</i><sub>6+</sub> increases while others decrease. Considering the meso-structural indexes (number percentage and area percentage of loops) are sensitive to the change of macro-mechanical indexes (deviatoric stress, axial strain, and volumetric strain) in the hardening stage. Multivariate models were established to build a bridge between the meso-structure and the macro-mechanics.
format	article
author	Jiake Yang Qun Qi
author_facet	Jiake Yang Qun Qi
author_sort	Jiake Yang
title	Study on Meso-Structure Evolution in Granular Matters Based on the Contact Loop Recognition and Determination Technique
title_short	Study on Meso-Structure Evolution in Granular Matters Based on the Contact Loop Recognition and Determination Technique
title_full	Study on Meso-Structure Evolution in Granular Matters Based on the Contact Loop Recognition and Determination Technique
title_fullStr	Study on Meso-Structure Evolution in Granular Matters Based on the Contact Loop Recognition and Determination Technique
title_full_unstemmed	Study on Meso-Structure Evolution in Granular Matters Based on the Contact Loop Recognition and Determination Technique
title_sort	study on meso-structure evolution in granular matters based on the contact loop recognition and determination technique
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/5df3dd2ad8af48cdbbdc9a523e968b36
work_keys_str_mv	AT jiakeyang studyonmesostructureevolutioningranularmattersbasedonthecontactlooprecognitionanddeterminationtechnique AT qunqi studyonmesostructureevolutioningranularmattersbasedonthecontactlooprecognitionanddeterminationtechnique
_version_	1718431944023212032

Study on Meso-Structure Evolution in Granular Matters Based on the Contact Loop Recognition and Determination Technique

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