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    A particle-based method for granular flow simulation

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    Type
    Article
    Authors
    Chang, Yuanzhang
    Bao, Kai
    Zhu, Jian cc
    Wu, Enhua
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Date
    2012-03-16
    Online Publication Date
    2012-03-16
    Print Publication Date
    2012-05
    Permanent link to this record
    http://hdl.handle.net/10754/562130
    
    Metadata
    Show full item record
    Abstract
    We present a new particle-based method for granular flow simulation. In the method, a new elastic stress term, which is derived from a modified form of the Hooke's law, is included in the momentum governing equation to handle the friction of granular materials. Viscosity force is also added to simulate the dynamic friction for the purpose of smoothing the velocity field and further maintaining the simulation stability. Benefiting from the Lagrangian nature of the SPH method, large flow deformation can be well handled easily and naturally. In addition, a signed distance field is also employed to enforce the solid boundary condition. The experimental results show that the proposed method is effective and efficient for handling the flow of granular materials, and different kinds of granular behaviors can be well simulated by adjusting just one parameter. © 2012 Science China Press and Springer-Verlag Berlin Heidelberg.
    Citation
    Chang, Y., Bao, K., Zhu, J., & Wu, E. (2012). A particle-based method for granular flow simulation. Science China Information Sciences, 55(5), 1062–1072. doi:10.1007/s11432-012-4564-0
    Sponsors
    This work was supported by National Natural Science Foundation of China (Grant Nos. 60773030, 60833007) and Studentship and Research Grant of University of Macau. We would like to thank Prof. Liu Moubin (Institute of Mechanics, Chinese Academy of Sciences, Beijing, China) for his long-time help and advices on the SPH method.
    Publisher
    Springer Nature
    Journal
    Science China Information Sciences
    DOI
    10.1007/s11432-012-4564-0
    ae974a485f413a2113503eed53cd6c53
    10.1007/s11432-012-4564-0
    Scopus Count
    Collections
    Articles; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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