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    Uncertainty Quantification of Soil–Structure Interface Properties with an Enhanced Hypoplastic Interface Model 

    Source: International Journal of Geomechanics:;2024:;Volume ( 024 ):;issue: 006:;page 04024103-1
    Author(s): Hai-Lin Wang; Yin-Fu Jin; Zhen-Yu Yin; Xiao-Qiang Gu
    Publisher: ASCE
    Abstract: Numerous studies have been carried out to characterize uncertainties of soil properties, and lots of multivariate databases have been compiled to make the characterization of uncertainties more realistic. However, when it ...
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    Modeling Mechanical Behavior of Very Coarse Granular Materials 

    Source: Journal of Engineering Mechanics:;2017:;Volume ( 143 ):;issue: 001
    Author(s): Zhen-Yu Yin; Pierre-Yves Hicher; Christophe Dano; Yin-Fu Jin
    Publisher: American Society of Civil Engineers
    Abstract: A novel approach has been developed to predict the mechanical behavior of very coarse granular materials with a constitutive model, which considers both grain breakage and size effect. The behavior of granular assemblies ...
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    Modeling Mechanical Behavior of Very Coarse Granular Materials 

    Source: Journal of Engineering Mechanics:;2017:;Volume ( 143 ):;issue: 001
    Author(s): Zhen-Yu Yin; Pierre-Yves Hicher; Christophe Dano; Yin-Fu Jin
    Publisher: American Society of Civil Engineers
    Abstract: A novel approach has been developed to predict the mechanical behavior of very coarse granular materials with a constitutive model, which considers both grain breakage and size effect. The behavior of granular assemblies ...
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    Estimation of Robustness of Time Integration Algorithms for Elasto-Viscoplastic Modeling of Soils 

    Source: International Journal of Geomechanics:;2019:;Volume ( 019 ):;issue: 002
    Author(s): Zhen-Yu Yin; Jian Li; Yin-Fu Jin; Feng-Yin Liu
    Publisher: American Society of Civil Engineers
    Abstract: Time integration with stress–strain updating is a key step for the application of elasto-viscoplastic models to engineering practice. Currently, the estimation robustness of algorithms is lacking, which poses difficulties ...
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    Physics-Informed Multifidelity Residual Neural Networks for Hydromechanical Modeling of Granular Soils and Foundation Considering Internal Erosion 

    Source: Journal of Engineering Mechanics:;2022:;Volume ( 148 ):;issue: 004:;page 04022015
    Author(s): Pin Zhang; Zhen-Yu Yin; Yin-Fu Jin; Jie Yang; Brian Sheil
    Publisher: ASCE
    Abstract: Coupled hydromechanical finite-element modeling of granular soils, taking into account internal erosion, is computationally prohibitive. Alternative data-driven approaches require large data sets for training and often ...
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