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dc.contributor.authorTao, Michael
dc.contributor.authorBatty, Christopher
dc.contributor.authorFiume, Eugene
dc.contributor.authorLevin, David I.W.
dc.date.accessioned2020-02-13 19:06:43 (GMT)
dc.date.available2020-02-13 19:06:43 (GMT)
dc.date.issued2019-11
dc.identifier.urihttps://doi.org/10.1145/3355089.3356543
dc.identifier.urihttp://hdl.handle.net/10012/15635
dc.description.abstractAlthough geometry arising "in the wild" most often comes in the form of a surface representation, a plethora of geometrical and physical applications require the construction of volumetric embeddings either of the geometry itself or the domain surrounding it. Cartesian cut-cell-based mesh generation provides an attractive solution in which volumetric elements are constructed from the intersection of the input surface geometry with a uniform or adaptive hexahedral grid. This choice, especially common in computational fluid dynamics, has the potential to efficiently generate accurate, surface-conforming cells; unfortunately, current solutions are often slow, fragile, or cannot handle many common topological situations. We therefore propose a novel, robust cut-cell construction technique for triangle surface meshes that explicitly computes the precise geometry of the intersection cells, even on meshes that are open or non-manifold. Its fundamental geometric primitive is the intersection of an arbitrary segment with an axis-aligned plane. Beginning from the set of intersection points between triangle mesh edges and grid planes, our bottom-up approach robustly determines cut-edges, cut-faces, and finally cut-cells, in a manner designed to guarantee topological correctness. We demonstrate its effectiveness and speed on a wide range of input meshes and grid resolutions, and make the code available as open source.en
dc.description.sponsorshipThis work is graciously supported by NSERC Discovery Grants (RGPIN-04360-2014 & RGPIN-2017-05524), NSERC Accelerator Grant (RGPAS-2017-507909), Connaught Fund (503114), and the Canada Research Chairs Program.en
dc.language.isoenen
dc.publisherACMen
dc.subjectcut-cellsen
dc.subjectvolumetric meshingen
dc.titleMandoline: robust cut-cell generation for arbitrary triangle meshesen
dc.typeArticleen
dcterms.bibliographicCitationMichael Tao, Christopher Batty, Eugene Fiume, and David I.W. Levin. 2019. Mandoline: Robust Cut-Cell Generation for Arbitrary Triangle Meshes. ACM Trans. Graph. 38, 6, Article 179 (November 2019), 17 pages. https://doi.org/10.1145/3355089.3356543en
uws.contributor.affiliation1Faculty of Mathematicsen
uws.contributor.affiliation2David R. Cheriton School of Computer Scienceen
uws.typeOfResourceTexten
uws.peerReviewStatusRevieweden
uws.scholarLevelFacultyen


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