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A Bending Model for Nodal Discretizations of Yarn-Level Cloth

Identificadores del recurso

J.M. Pizana, A. Rodr?guez, G. Cirio & M.A. Otaduy / A Bending Model for Nodal Discretizations of Yarn-Level Cloth Volume 39 (2020), Number 8

1467-8659

http://hdl.handle.net/10115/17668

10.1111/cgf.14112

Jatorria

(BURJC-Digital: Repositorio Institucional de la Universidad Rey Juan Carlos)

Fitxa

Izenburu:: A Bending Model for Nodal Discretizations of Yarn-Level Cloth
Tema:: Inform?tica; Computing methodologies; Physical simulation; ingenier; 3325 Tecnolog?a de las Telecomunicaciones
Deskribapen:: TouchDesign (M1792); To deploy yarn-level cloth simulations in production environments, it is paramount to design very efficient implementations, which mitigate the cost of the extremely high resolution. To this end, nodal discretizations aligned with the regularity of the fabric structure provide an optimal setting for efficient GPU implementations. However, nodal discretizations complicate the design of robust and controllable bending. In this paper, we address this challenge, and propose a model of bending that is both robust and controllable, and employs only nodal degrees of freedom. We extract information of yarn and fabric orientation implicitly from the nodal degrees of freedom, with no need to augment the model explicitly. But most importantly, and unlike previous formulations that use implicit orientations, the computation of bending forces bears no overhead with respect to other nodal forces such as stretch. This is possible by tracking optimal orientations efficiently. We demonstrate the impact of our bending model in examples with controllable anisotropy, as well as ironing, wrinkling, and plasticity.
Idioma:: English
Harreman:: TouchDesign (M1792)
Autor/Productor:: Pizana, Jos? M.; Rodr?guez, Alejandro; Cirio, Gabriel; Otaduy, Miguel A.
Argitaratzaile:: Wiley
Eskubideak:: Attribution-NonCommercial-NoDerivatives 4.0 Internacional; http://creativecommons.org/licenses/by-nc-nd/4.0/; info:eu-repo/semantics/openAccess
Data:: 2021-04-19T10:45:57Z; 2020
Tipo de recurso:: info:eu-repo/semantics/article

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