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    Factors Influencing the Collapse of Granular Columns Based on Discrete-Element Simulation

    Source: International Journal of Geomechanics:;2025:;Volume ( 025 ):;issue: 007::page 04025133-1
    Author:
    Fei Tan
    ,
    Hao Wen
    ,
    Minglong You
    ,
    Jiahe Lv
    DOI: 10.1061/IJGNAI.GMENG-10581
    Publisher: American Society of Civil Engineers
    Abstract: In this study, model tests on the collapse of sand granular columns are designed to investigate the relationship between the initial stacking height and the maximum run-out distance of the granular column, and the results were used to calibrate the discrete-element model of the granular column. Based on this calibrated model, the morphological characteristics of the relative stationary zone and the influencing factors were studied. Nine sets of numerical models were designed to investigate the impacts of particle size, porosity, and particle gradation conditions on the collapse process of the granular column and to explain the deposition shape in terms of kinetic energy. With the increase in the particle size, the normalized maximum run-out distance after the collapse of the granular column increased, the height after deposition decreased, and the inclination decreased. With the increase in particle porosity, the height after deposition of the granular column after collapse, the volume of the relative stability zone, and the maximum run-out distance of the particles all decreased. When the granular column gradation was continuous and the coarse, medium, and fine particles were evenly distributed, the kinetic energy of the granular column was the highest, and the run-out distance was the farthest.
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      Factors Influencing the Collapse of Granular Columns Based on Discrete-Element Simulation

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4307658
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    contributor authorFei Tan
    contributor authorHao Wen
    contributor authorMinglong You
    contributor authorJiahe Lv
    date accessioned2025-08-17T22:55:56Z
    date available2025-08-17T22:55:56Z
    date copyright7/1/2025 12:00:00 AM
    date issued2025
    identifier otherIJGNAI.GMENG-10581.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4307658
    description abstractIn this study, model tests on the collapse of sand granular columns are designed to investigate the relationship between the initial stacking height and the maximum run-out distance of the granular column, and the results were used to calibrate the discrete-element model of the granular column. Based on this calibrated model, the morphological characteristics of the relative stationary zone and the influencing factors were studied. Nine sets of numerical models were designed to investigate the impacts of particle size, porosity, and particle gradation conditions on the collapse process of the granular column and to explain the deposition shape in terms of kinetic energy. With the increase in the particle size, the normalized maximum run-out distance after the collapse of the granular column increased, the height after deposition decreased, and the inclination decreased. With the increase in particle porosity, the height after deposition of the granular column after collapse, the volume of the relative stability zone, and the maximum run-out distance of the particles all decreased. When the granular column gradation was continuous and the coarse, medium, and fine particles were evenly distributed, the kinetic energy of the granular column was the highest, and the run-out distance was the farthest.
    publisherAmerican Society of Civil Engineers
    titleFactors Influencing the Collapse of Granular Columns Based on Discrete-Element Simulation
    typeJournal Article
    journal volume25
    journal issue7
    journal titleInternational Journal of Geomechanics
    identifier doi10.1061/IJGNAI.GMENG-10581
    journal fristpage04025133-1
    journal lastpage04025133-16
    page16
    treeInternational Journal of Geomechanics:;2025:;Volume ( 025 ):;issue: 007
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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