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Hybrid simulation of deformable solids
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Symposium on Computer Animation archive
Proceedings of the 2007 ACM SIGGRAPH/Eurographics symposium on Computer animation table of contents
San Diego, California
SESSION: Deformable objects table of contents
Pages: 81 - 90  
Year of Publication: 2007
ISBN:978-1-59593-624-4
Authors
Eftychios Sifakis  Stanford University
Tamar Shinar  Stanford University
Geoffrey Irving  Stanford University
Ronald Fedkiw  Stanford University
Sponsors
Eurographics: Eurographics Association
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
Eurographics Association  Aire-la-Ville, Switzerland, Switzerland
Bibliometrics
Downloads (6 Weeks): 12,   Downloads (12 Months): 131,   Citation Count: 8
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ABSTRACT

Although mesh-based methods are efficient for simulating simple hyperelasticity, maintaining and adapting a mesh-based representation is less appealing in more complex scenarios, e.g. collision, plasticity and fracture. Thus, meshless or point-based methods have enjoyed recent popularity due to their added flexibility in dealing with these situations. Our approach begins with an initial mesh that is either conforming (as generated by one's favorite meshing algorithm) or non-conforming (e.g. a BCC background lattice). We then propose a framework for embedding arbitrary sample points into this initial mesh allowing for the straightforward handling of collisions, plasticity and fracture without the need for complex remeshing. A straightforward consequence of this new framework is the ability to naturally handle T-junctions alleviating the requirement for a manifold initial mesh. The arbitrarily added embedded points are endowed with full simulation capability allowing them to collide, interact with each other, and interact with the parent geometry in the fashion of a particle-centric simulation system. We demonstrate how this formulation facilitates tasks such as arbitrary refinement or resampling for collision processing, the handling of multiple and possibly conflicting constraints (e.g. when cloth is nonphysically pinched between two objects), the straightforward treatment of fracture, and sub-element resolution of elasticity and plasticity.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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{Sif07} Sifakis E.: Algorithmic aspects of the simulation and control of computer generated human anatomy models. PhD thesis, Stanford University, June 2007.
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CITED BY  8

Collaborative Colleagues:
Eftychios Sifakis: colleagues
Tamar Shinar: colleagues
Geoffrey Irving: colleagues
Ronald Fedkiw: colleagues