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    • 39-Issue 8
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    Distant Collision Response in Rigid Body Simulations

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    Date
    2020
    Author
    Coevoet, Eulalie
    Andrews, Sheldon ORCID
    Relles, Denali
    Kry, Paul G.
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    Abstract
    We use a finite element model to predict the vibration response of objects in a rigid body simulation, such that rigid objects are augmented to provide a plausible elastic collision response between distant objects due to vibration. We start with a generalized eigenvalue decomposition of the elastic model to precompute a response to an impact at any point on an elastic object with fixed boundary conditions. Then, given a collision between objects, we generate an approximate response impulse to distribute to other objects already in contact with the colliding bodies. This can lead to distant impacts causing an object to slip, or a delicate stack of objects to fall. We also use a geodesic distance based spatial attenuation approximation for travelling waves in objects to respond to an impact at one contact with an impulse at other locations. This response ultimately allows a long distance relationship between contacts, both across a single object being struck, but also traversing the contact graph of a larger collection of objects. We qualitatively validate our approach with a ground truth simulation, and demonstrate a number of scenarios where a long distance relationship between contacts is valuable.
    BibTeX
    @article {10.1111:cgf.14106,
    journal = {Computer Graphics Forum},
    title = {{Distant Collision Response in Rigid Body Simulations}},
    author = {Coevoet, Eulalie and Andrews, Sheldon and Relles, Denali and Kry, Paul G.},
    year = {2020},
    publisher = {The Eurographics Association and John Wiley & Sons Ltd.},
    ISSN = {1467-8659},
    DOI = {10.1111/cgf.14106}
    }
    URI
    https://doi.org/10.1111/cgf.14106
    https://diglib.eg.org:443/handle/10.1111/cgf14106
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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.
    TUGFhA