Deformation embedding for point-based elastoplastic simulation

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Publication Type thesis
School or College School of Computing
Department Computing (School of)
Author Ward, Stephen J.
Title Deformation embedding for point-based elastoplastic simulation
Date 2012-08
Description We present a straightforward, easy-to-implement, point-based approach for animating elastoplastic materials. The core idea of our approach is the introduction of embedded space-the least-squares best fit of the material's rest state into three dimensions. Together with plastic offsets that map embedded space to rest space, the embedded space allows us to robustly estimate the deformation gradient, compute elastic forces, and account for plastic flow. We additionally introduce an estimate for the volume of a particle, opening the door for nonuniform sampling, and describe a technique to increase the robustness of point-based elastic simulation. Our approach can handle arbitrarily large elastic deformations and extreme plastic deformations. Because the approach is point-based, there is no need for complex remeshing-the corresponding operation is a simple neighborhood query in embedded space. We demonstrate our approach on a variety of examples that display a wide range of material behaviors.
Type Text
Publisher University of Utah
Subject Computer science; Elastoplastic materials
Dissertation Institution University of Utah
Dissertation Name Master of Science
Language eng
Rights Management Copyright © Stephen J. Ward 2012
Format Medium application/pdf
Format Extent 332,052 Bytes
Identifier etd3/id/3388
ARK ark:/87278/s6gt8wd9
Setname ir_etd
Date Created 2015-03-23
Date Modified 2018-04-17
ID 196951
Reference URL
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