An improved algorithm to smooth graded quadrilateral meshes preserving the prescribed element size

In the generation of quadrilateral unstructured meshes, special attention is focussed to the shape of the elements. This is because it is well known that the distortion of the elements and the accuracy of the analysis are closely related. However, in adaptive schemes it is also essential that the ne...

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Detalles Bibliográficos
Autores: Sarrate Ramos, Josep|||0000-0003-0182-934X, Huerta, Antonio|||0000-0003-4198-3798
Tipo de recurso: artículo
Fecha de publicación:2001
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/8467
Acceso en línea:https://hdl.handle.net/2117/8467
https://dx.doi.org/10.1002/1099-0887(200102)17:2<89::AID-CNM357>3.0.CO;2-E
Access Level:acceso abierto
Palabra clave:Numerical grid generation (Numerical analysis)
Finite elements
Mesh generation
Mesh smoothing techniques
Unstructured meshes
Quadrilateral elements
Elements finits, Mètode dels
Àrees temàtiques de la UPC::Matemàtiques i estadística::Anàlisi numèrica::Mètodes en elements finits
Descripción
Sumario:In the generation of quadrilateral unstructured meshes, special attention is focussed to the shape of the elements. This is because it is well known that the distortion of the elements and the accuracy of the analysis are closely related. However, in adaptive schemes it is also essential that the newly generated mesh meets the prescribed element sizes in order to obtain a solution with the desired precision. In 1982 Giuliani developed a robust rezoning algorithm based on geometrical criteria. It gives proven results in a smooth element size distribution, but elements do not verify the prescribed element size when sharp distributions appear. This paper presents a modification of the Giuliani method that generates non-distorted elements while preserving the element size. Similar to the original method, this modification can be extended to three-dimensional cases.