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    Scale Effect on the Apparent Anisotropic Hydraulic Conductivity of Geomaterials

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2023:;Volume ( 009 ):;issue: 003::page 04023020-1
    Author:
    Kai-Qi Li
    ,
    Guan Chen
    ,
    Yong Liu
    ,
    Zhen-Yu Yin
    DOI: 10.1061/AJRUA6.RUENG-1070
    Publisher: ASCE
    Abstract: Properties of geomaterials often exhibit stratification and anisotropy due to various influencing factors such as weathering and sedimentation. However, the measurement of anisotropy is a difficult task since anisotropy not only depends on the direction but also varies with scale. In the current study, hydraulic conductivity is considered a typical geomaterial property and simulated by random field theory. A novel method based on two-dimensional and three-dimensional analytical expressions is proposed to estimate the apparent hydraulic conductivity (k) in different directions and determine the corresponding anisotropic ratios. A series of simulation tests on specimens with various dimensions from one strong anisotropy site are also performed via the finite element method. The analytical solutions of the proposed method are verified by numerical results. Results indicate that the anisotropic ratio shows a substantial sensitivity to the sample scale. A decrease in sample scale can result in the reduction of the anisotropic ratio; as a result, k gradually approaches to a point level’s value, and the effect of anisotropy decreases. This work not only sheds light on the gap between the laboratory results and the field’s inherent properties but also provides guidelines on upscaling small-scale (e.g., laboratory scale) results to field-scale applications.
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      Scale Effect on the Apparent Anisotropic Hydraulic Conductivity of Geomaterials

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    • ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering

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    contributor authorKai-Qi Li
    contributor authorGuan Chen
    contributor authorYong Liu
    contributor authorZhen-Yu Yin
    date accessioned2023-11-27T23:09:09Z
    date available2023-11-27T23:09:09Z
    date issued6/5/2023 12:00:00 AM
    date issued2023-06-05
    identifier otherAJRUA6.RUENG-1070.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4293335
    description abstractProperties of geomaterials often exhibit stratification and anisotropy due to various influencing factors such as weathering and sedimentation. However, the measurement of anisotropy is a difficult task since anisotropy not only depends on the direction but also varies with scale. In the current study, hydraulic conductivity is considered a typical geomaterial property and simulated by random field theory. A novel method based on two-dimensional and three-dimensional analytical expressions is proposed to estimate the apparent hydraulic conductivity (k) in different directions and determine the corresponding anisotropic ratios. A series of simulation tests on specimens with various dimensions from one strong anisotropy site are also performed via the finite element method. The analytical solutions of the proposed method are verified by numerical results. Results indicate that the anisotropic ratio shows a substantial sensitivity to the sample scale. A decrease in sample scale can result in the reduction of the anisotropic ratio; as a result, k gradually approaches to a point level’s value, and the effect of anisotropy decreases. This work not only sheds light on the gap between the laboratory results and the field’s inherent properties but also provides guidelines on upscaling small-scale (e.g., laboratory scale) results to field-scale applications.
    publisherASCE
    titleScale Effect on the Apparent Anisotropic Hydraulic Conductivity of Geomaterials
    typeJournal Article
    journal volume9
    journal issue3
    journal titleASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
    identifier doi10.1061/AJRUA6.RUENG-1070
    journal fristpage04023020-1
    journal lastpage04023020-11
    page11
    treeASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2023:;Volume ( 009 ):;issue: 003
    contenttypeFulltext
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