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    A Temporally Adaptive Material Point Method with Regional Time Stepping

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    Date
    2018
    Author
    Fang, Yu
    Hu, Yuanming
    Hu, Shi-Min ORCID
    Jiang, Chenfanfu
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    Abstract
    Spatially and temporally adaptive algorithms can substantially improve the computational efficiency of many numerical schemes in computational mechanics and physics-based animation. Recently, a crucial need for temporal adaptivity in the Material Point Method (MPM) is emerging due to the potentially substantial variation of material stiffness and velocities in multimaterial scenes. In this work, we propose a novel temporally adaptive symplectic Euler scheme for MPM with regional time stepping (RTS), where different time steps are used in different regions. We design a time stepping scheduler operating at the granularity of small blocks to maintain a natural consistency with the hybrid particle/grid nature of MPM. Our method utilizes the Sparse Paged Grid (SPGrid) data structure and simultaneously offers high efficiency and notable ease of implementation with a practical multi-threaded particle-grid transfer strategy. We demonstrate the efficacy of our asynchronous MPM method on various examples including elastic objects, granular media, and fluids.
    BibTeX
    @article {10.1111:cgf.13524,
    journal = {Computer Graphics Forum},
    title = {{A Temporally Adaptive Material Point Method with Regional Time Stepping}},
    author = {Fang, Yu and Hu, Yuanming and Hu, Shi-Min and Jiang, Chenfanfu},
    year = {2018},
    publisher = {The Eurographics Association and John Wiley & Sons Ltd.},
    ISSN = {1467-8659},
    DOI = {10.1111/cgf.13524}
    }
    URI
    https://doi.org/10.1111/cgf.13524
    https://diglib.eg.org:443/handle/10.1111/cgf13524
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    Eurographics Association copyright © 2013 - 2023 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
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