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Bisecting with optimal similarity bound on 3D unstructured conformal meshes

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10.5281/zenodo.6562417
 
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hdl:2117/372822

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Belda Ferrín, GuillemMés informacióMés informació
Ruiz Gironès, Eloi
Roca Navarro, Francisco Javier
Document typeConference report
Defense date2022
Rights accessOpen Access
Attribution 4.0 International
This work is protected by the corresponding intellectual and industrial property rights. Except where otherwise noted, its contents are licensed under a Creative Commons license : Attribution 4.0 International
ProjectTesseract - Best Curved Adapted Meshes for Space-Time Flow Simulations (EC-H2020-715546)
Abstract
We propose a new method to mark for bisection the edges of an arbitrary 3D unstructured conformal mesh. For these meshes, the approach conformingly marks all the tetrahedra with coplanar edge marks. To this end, the method needs three key ingredients. First, we propose a specific edge ordering. Second, marking with this ordering, we guarantee that the mesh becomes conformingly marked. Third, we also ensure that all the marks are coplanar in each tetrahedron. To demonstrate the marking method, we implement an existent marked bisection approach. Using this implementation, we mark and then locally refine 3D unstructured conformal meshes. We conclude that the resulting marked bisection features an optimal bound of similarity classes per tetrahedron.
CitationBelda-Ferrín, G.; Ruiz-Gironès, E.; Roca, X. Bisecting with optimal similarity bound on 3D unstructured conformal meshes. A: SIAM International Meshing Roundtable Workshop. "Proceedings of the 2022 SIAM International Meshing Roundtable". 2022, p. 86-97. ISBN 978-1-7334890-2-7. DOI 10.5281/zenodo.6562417. 
URIhttp://hdl.handle.net/2117/372822
DOI10.5281/zenodo.6562417
ISBN978-1-7334890-2-7
Other identifiershttps://zenodo.org/record/6562417
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  • Computer Applications in Science & Engineering - Articles de revista [313]
  • Doctorat en Matemàtica Aplicada - Ponències/Comunicacions de congressos [40]
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