Articolo in rivista, 2021, ENG, 10.1016/j.matcom.2021.07.018
M.Attene,S. Biasotti, S. Bertoluzza, D. Cabiddu, M. Livesu, G. Patanè, M. Pennacchio, D. Prada, and M. Spagnuolo
Istituto di Matematica Applicata e Tecnologie Informatiche "E. Magenes", CNR, Italy
Polytopal Element Methods (PEM) allow us solving differential equations on general polygonal and polyhedral grids, potentially offering great flexibility to mesh generation algorithms. Differently from classical finite element methods, where the relation between the geometric properties of the mesh and the performances of the solver are well known, the characterization of a good polytopal element is still subject to ongoing research. Current shape regularity criteria are quite restrictive, and greatly limit the set of valid meshes. Nevertheless, numerical experiments revealed that PEM solvers can perform well on meshes that are far outside the strict boundaries imposed by the current theory, suggesting that the real capabilities of these methods are much higher. In this work, we propose a benchmark to study the correlation between general 2D polygonal meshes and PEM solvers which we test on a virtual element solver for the Poisson equation. The benchmark aims to explore the space of 2D polygonal meshes and polygonal quality metrics, in order to understand if and how shape regularity, defined according to different criteria, affects the performance of the method. The proposed tool is quite general, and can be potentially used to study any PEM solver. Besides discussing the basics of the benchmark, we demonstrate its application on a representative member of the PEM family, namely the Virtual Element Method, also discussing our findings.
Mathematics and computers in simulation (Print) 190 , pp. 1392–1414
Polytopal Element Methods, Virtual Element Methods, Polygonal Meshes, Geometric Metrics, Geometry-PEM Correlation
Spagnuolo Michela, Pennacchio Micol, Biasotti Silvia Maria, Attene Marco, Patane Giuseppe, Livesu Marco, Prada Daniele, Cabiddu Daniela, Bertoluzza Silvia
IMATI – Istituto di matematica applicata e tecnologie informatiche "Enrico Magenes"
ID: 455685
Year: 2021
Type: Articolo in rivista
Creation: 2021-08-02 13:33:30.000
Last update: 2023-02-13 13:27:50.000
External links
OAI-PMH: Dublin Core
OAI-PMH: Mods
OAI-PMH: RDF
DOI: 10.1016/j.matcom.2021.07.018
URL: https://www.sciencedirect.com/science/article/pii/S0378475421002706
External IDs
CNR OAI-PMH: oai:it.cnr:prodotti:455685
DOI: 10.1016/j.matcom.2021.07.018
Scopus: 2-s2.0-85111972546
ISI Web of Science (WOS): 000690877900006