2020
DOI: 10.1145/3386569.3392489
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Robust eulerian-on-lagrangian rods

Abstract: This paper introduces a method to simulate complex rod assemblies and stacked layers with implicit contact handling, through Eulerian-on-Lagrangian (EoL) discretizations. Previous EoL methods fail to handle such complex situations, due to ubiquitous and intrinsic degeneracies in the contact geometry, which prevent the use of remeshing and make simulations unstable. We propose a novel mixed Eulerian-Lagrangian discretization that supports accurate and efficient contact as in EoL methods, but is transparent to i… Show more

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Cited by 14 publications
(11 citation statements)
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References 37 publications
(57 reference statements)
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“…in yarn‐level cloth simulations. While such scenarios are not common in our experiments, integrating the techniques of [SBRBO20] into our method is definitely an elegant alternative to resolve the infinitely large stiffness.…”
Section: Limitations and Future Workmentioning
confidence: 99%
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“…in yarn‐level cloth simulations. While such scenarios are not common in our experiments, integrating the techniques of [SBRBO20] into our method is definitely an elegant alternative to resolve the infinitely large stiffness.…”
Section: Limitations and Future Workmentioning
confidence: 99%
“…However, these approaches are arguably limited in adaptivity brought by Eulerian coordinates, seemingly going in an opposite way as r ‐adaption intends. Targeting at numerical conditioning, a recent work [SBRBO20] introduced a special type of nodes to avoid infinitely large stiffness resulted from tiny segments, which can be also empirically solved by collapsing tiny segments in each step.…”
Section: Related Workmentioning
confidence: 99%
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“…They modeled yarns as flexible rods, and added sliding degrees of freedom at yarn crossings, allowing complex plastic effects, such as snags. Recently, Sánchez-Banderas et al [SBRBO20] have improved the discretization of persistent contacts, extending the applicability of the model to more complex fabrics. Earlier, they also improved the damping behavior of yarn-level models, making it more controllable [SBO18].…”
Section: Yarn-level Simulation Of Clothmentioning
confidence: 99%