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New approaches for Delaunay triangulation and optimisation
New techniques are presented for Delaunay triangular mesh generation and element optimisation. Sample points for triangulation are generated through mapping (a new approach). These sample points are later triangulated by the conventional Delaunay method. Resulting triangular elements are optimised b...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6728773/ https://www.ncbi.nlm.nih.gov/pubmed/31517093 http://dx.doi.org/10.1016/j.heliyon.2019.e02319 |
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author | Perumal, Logah |
author_facet | Perumal, Logah |
author_sort | Perumal, Logah |
collection | PubMed |
description | New techniques are presented for Delaunay triangular mesh generation and element optimisation. Sample points for triangulation are generated through mapping (a new approach). These sample points are later triangulated by the conventional Delaunay method. Resulting triangular elements are optimised by addition, removal and relocation of mapped sample points (element nodes). The proposed techniques (generation of sample points through mapping for Delaunay triangulation and mesh optimisation) are demonstrated by using Mathematica software. Simulation results show that the proposed techniques are able to form meshes that consist of triangular elements with aspect ratio of less than 2 and minimum skewness of more than 45°. |
format | Online Article Text |
id | pubmed-6728773 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-67287732019-09-12 New approaches for Delaunay triangulation and optimisation Perumal, Logah Heliyon Article New techniques are presented for Delaunay triangular mesh generation and element optimisation. Sample points for triangulation are generated through mapping (a new approach). These sample points are later triangulated by the conventional Delaunay method. Resulting triangular elements are optimised by addition, removal and relocation of mapped sample points (element nodes). The proposed techniques (generation of sample points through mapping for Delaunay triangulation and mesh optimisation) are demonstrated by using Mathematica software. Simulation results show that the proposed techniques are able to form meshes that consist of triangular elements with aspect ratio of less than 2 and minimum skewness of more than 45°. Elsevier 2019-08-29 /pmc/articles/PMC6728773/ /pubmed/31517093 http://dx.doi.org/10.1016/j.heliyon.2019.e02319 Text en © 2019 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Perumal, Logah New approaches for Delaunay triangulation and optimisation |
title | New approaches for Delaunay triangulation and optimisation |
title_full | New approaches for Delaunay triangulation and optimisation |
title_fullStr | New approaches for Delaunay triangulation and optimisation |
title_full_unstemmed | New approaches for Delaunay triangulation and optimisation |
title_short | New approaches for Delaunay triangulation and optimisation |
title_sort | new approaches for delaunay triangulation and optimisation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6728773/ https://www.ncbi.nlm.nih.gov/pubmed/31517093 http://dx.doi.org/10.1016/j.heliyon.2019.e02319 |
work_keys_str_mv | AT perumallogah newapproachesfordelaunaytriangulationandoptimisation |