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    A Statistical Damage Constitutive Model for Graded Gravels Incorporating the Degree of Compaction and the Damage-Softening Index

    Source: International Journal of Geomechanics:;2024:;Volume ( 024 ):;issue: 004::page 04024033-1
    Author:
    Gang Liu
    ,
    Jianchuan Zhou
    ,
    David P. Connolly
    ,
    Qiang Luo
    ,
    Tengfei Wang
    ,
    Kaiwen Liu
    ,
    Mingzhi Zhao
    DOI: 10.1061/IJGNAI.GMENG-9018
    Publisher: ASCE
    Abstract: Strength characteristics of graded gravels are essential in the construction of roadway and railway substructures. Traditional constitutive models, primarily nonlinear elastic and plastic types, fall short in accurately capturing the strain-softening properties of such materials. To address this limitation, the current study introduces a statistical damage model designed to outline the stress–strain behavior of densely compacted graded gravels in transport infrastructures. Utilizing medium-sized triaxial tests, the model examines variations in strength and deformation parameters in relation to compaction levels and incorporates a unique damage-softening index (DSI) along with a threshold axial strain to improve accuracy. The study establishes that the DSI and threshold axial strain effectively regulate stress–strain relations in the postpeak segment, the model’s statistical parameters and threshold axial strain can be precisely determined through the introduction of DSI, and the model closely aligns with experimental data across multiple compaction levels. These findings are especially relevant for engineering design in the context of roadway and railway construction and indicate potential for further refinement, such as the incorporation of loading rate considerations.
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      A Statistical Damage Constitutive Model for Graded Gravels Incorporating the Degree of Compaction and the Damage-Softening Index

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4296991
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    contributor authorGang Liu
    contributor authorJianchuan Zhou
    contributor authorDavid P. Connolly
    contributor authorQiang Luo
    contributor authorTengfei Wang
    contributor authorKaiwen Liu
    contributor authorMingzhi Zhao
    date accessioned2024-04-27T22:34:52Z
    date available2024-04-27T22:34:52Z
    date issued2024/04/01
    identifier other10.1061-IJGNAI.GMENG-9018.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4296991
    description abstractStrength characteristics of graded gravels are essential in the construction of roadway and railway substructures. Traditional constitutive models, primarily nonlinear elastic and plastic types, fall short in accurately capturing the strain-softening properties of such materials. To address this limitation, the current study introduces a statistical damage model designed to outline the stress–strain behavior of densely compacted graded gravels in transport infrastructures. Utilizing medium-sized triaxial tests, the model examines variations in strength and deformation parameters in relation to compaction levels and incorporates a unique damage-softening index (DSI) along with a threshold axial strain to improve accuracy. The study establishes that the DSI and threshold axial strain effectively regulate stress–strain relations in the postpeak segment, the model’s statistical parameters and threshold axial strain can be precisely determined through the introduction of DSI, and the model closely aligns with experimental data across multiple compaction levels. These findings are especially relevant for engineering design in the context of roadway and railway construction and indicate potential for further refinement, such as the incorporation of loading rate considerations.
    publisherASCE
    titleA Statistical Damage Constitutive Model for Graded Gravels Incorporating the Degree of Compaction and the Damage-Softening Index
    typeJournal Article
    journal volume24
    journal issue4
    journal titleInternational Journal of Geomechanics
    identifier doi10.1061/IJGNAI.GMENG-9018
    journal fristpage04024033-1
    journal lastpage04024033-14
    page14
    treeInternational Journal of Geomechanics:;2024:;Volume ( 024 ):;issue: 004
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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