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https://dx.doi.org/10.48550/ar...
Article . 2023
License: CC BY SA
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Preprint . 2023
Data sources: DBLP
DBLP
Article . 2022
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Animating fracture

Authors: James F. O'Brien; Jessica K. Hodgins;

Animating fracture

Abstract

We have developed a simulation technique that uses non-linear finite element analysis and elastic fracture mechanics to compute physically plausible motion for three-dimensional, solid objects as they break, crack, or tear. When these objects deform beyond their mechanical limits, the system automatically determines where fractures should begin and in what directions they should propagate. The system allows fractures to propagate in arbitrary directions by dynamically restructuring the elements of a tetrahedral mesh. Because cracks are not limited to the original element boundaries, the objects can form irregularly shaped shards and edges as they shatter. The result is realistic fracture patterns such as the ones shown in our examples. This paper presents an overview of the fracture algorithm, the details are presented in our ACM SIGGRAPH 1999 and 2002 papers.

11 pages, 5 figures, 5 anc videos. Also available at: http://graphics.berkeley.edu/papers/Obrien-AFX-2000-12. arXiv admin note: substantial text overlap with arXiv:2303.02934

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United States
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Keywords

FOS: Computer and information sciences, Computer Science - Graphics, I.3.5, Information and Computing Sciences, I.3.7, Information and computing sciences, I.3.5; I.3.7; I.6.8, I.6.8, Graphics (cs.GR), Information Systems

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Average
Average
Average
Green