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    Modeling Combined Fabric Evolution in an Anisometric Granular Material Driven by Particle-Scale X-Ray Measurements

    Source: Journal of Engineering Mechanics:;2021:;Volume ( 148 ):;issue: 001::page 04021120
    Author:
    Rui Wang
    ,
    Gustavo Pinzón
    ,
    Edward Andò
    ,
    Gioacchino Viggiani
    DOI: 10.1061/(ASCE)EM.1943-7889.0002032
    Publisher: ASCE
    Abstract: A combined fabric evolution (CFE) model is used to predict real-world fabric evolution of a strongly anisometric granular material under triaxial loading, connecting advances in theoretical developments and experimental measurement technology for fabric evolution. X-ray tomography is used to quantify particle orientation and contact normal fabric evolution in five triaxial compression experiments on lentil specimens of different initial bedding plane angles. The CFE model coupling contact normal fabric evolution with particle orientation fabric is calibrated based on two of the experiments and used to predict the fabric evolution in the others. Good overall agreement between theoretical prediction and experimental measurement is achieved for the evolution of both types of fabric tensors. The comparison between prediction and measurement highlights an optimistic future for the development of constitutive relations incorporating fabric features based on actual experimental micromechanical observations. Nonetheless, the special case of 90° deposition is relatively poorly predicted due to the strongly heterogeneous local dilation caused by the extreme particle shape and alignment. This suggests that there is still more to be considered in the continuum description of the fabric evolution of granular materials, especially with respect to local information.
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      Modeling Combined Fabric Evolution in an Anisometric Granular Material Driven by Particle-Scale X-Ray Measurements

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4283225
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    contributor authorRui Wang
    contributor authorGustavo Pinzón
    contributor authorEdward Andò
    contributor authorGioacchino Viggiani
    date accessioned2022-05-07T21:02:11Z
    date available2022-05-07T21:02:11Z
    date issued2021-10-18
    identifier other(ASCE)EM.1943-7889.0002032.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4283225
    description abstractA combined fabric evolution (CFE) model is used to predict real-world fabric evolution of a strongly anisometric granular material under triaxial loading, connecting advances in theoretical developments and experimental measurement technology for fabric evolution. X-ray tomography is used to quantify particle orientation and contact normal fabric evolution in five triaxial compression experiments on lentil specimens of different initial bedding plane angles. The CFE model coupling contact normal fabric evolution with particle orientation fabric is calibrated based on two of the experiments and used to predict the fabric evolution in the others. Good overall agreement between theoretical prediction and experimental measurement is achieved for the evolution of both types of fabric tensors. The comparison between prediction and measurement highlights an optimistic future for the development of constitutive relations incorporating fabric features based on actual experimental micromechanical observations. Nonetheless, the special case of 90° deposition is relatively poorly predicted due to the strongly heterogeneous local dilation caused by the extreme particle shape and alignment. This suggests that there is still more to be considered in the continuum description of the fabric evolution of granular materials, especially with respect to local information.
    publisherASCE
    titleModeling Combined Fabric Evolution in an Anisometric Granular Material Driven by Particle-Scale X-Ray Measurements
    typeJournal Paper
    journal volume148
    journal issue1
    journal titleJournal of Engineering Mechanics
    identifier doi10.1061/(ASCE)EM.1943-7889.0002032
    journal fristpage04021120
    journal lastpage04021120-13
    page13
    treeJournal of Engineering Mechanics:;2021:;Volume ( 148 ):;issue: 001
    contenttypeFulltext
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