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    唐洪祥

    • 教授     博士生导师   硕士生导师
    • 性别:男
    • 毕业院校:大连理工大学
    • 学位:博士
    • 所在单位:土木工程系
    • 学科:岩土工程
    • 办公地点:综合实验一号楼211
    • 联系方式:0411-84708511-807
    • 电子邮箱:tanghx@dlut.edu.cn

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    Simulation of strain localization with discrete element-Cosserat continuum finite element two scale method for granular materials

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    论文类型:期刊论文

    发表时间:2019-01-01

    发表刊物:JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS

    收录刊物:SCIE、EI

    卷号:122

    页面范围:450-471

    ISSN号:0022-5096

    关键字:Strain localization; Multiscale method; Discrete element; Finite element; Consistent algorithm; Cosserat continuum

    摘要:A multiscale method is proposed based on an individual particle provided with rotational freedom, which considers the kinematic connections and transformation consistency of physical parameters in micro-macro models, as well as the need for a regularization mechanism in the classical macroscopic continuum model to preserve the well-posedness of the localization problem. This method uses the discrete element method to incorporate both rolling resistances (rolling friction tangential force and rolling resistance moment) and the sliding friction tangential force between particles in the contact model on a microscopic scale, while the Cosserat continuum is used to describe the granular materials on a macroscopic scale. In addition, a consistent return mapping algorithm for the integration of the rate constitutive equation and the closed form of the consistent elastoplastic tangent modulus matrix for the generalized elastoplastic Cosserat continuum model are presented. The effectiveness of the developed multiscale method is demonstrated with two cases: one comparing discrete element computations with the Cosserat finite element analysis, and the other comparing a plane strain compression experiment using digital imaging measurements with the Cosserat finite element analysis. The rotational deformation and shear band failure modes are well reproduced in both cases. It also demonstrates that the present model has better performance in predicting the phenomena of shear bands than previous ones. (C) 2018 Elsevier Ltd. All rights reserved.