Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills
  1. Outputs

A Graphical Framework to Study the Correlation between Geometric Design and Simulation

Conference Paper
Publication Date:
2022
abstract:
Partial differential equations can be solved on general polygonal and polyhedral meshes, through Polytopal Element Methods (PEMs). Unfortunately, the relation between geometry and analysis is still unknown and subject to ongoing research to identify weaker shape-regularity criteria under which PEMs can reliably work. We propose a graphical framework to support the analysis of the relation between the geometric properties of polygonal meshes and the numerical performances of PEM solvers. Our framework, namely PEMesh, allows the design of polygonal meshes that increasingly stress some geometric properties, by exploiting any external PEM solver, and supports the study of the correlation between the performances of such a solver and the geometric properties of the input mesh. Furthermore, it is highly modular, customisable, easy to use, and provides the possibility to export analysis results both as numerical values and graphical plots. The framework has a potential practical impact on ongoing and future research activities related to PEM methods, polygonal mesh generation and processing.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
Software and its engineering: Open source model; Computing methodologies: Mesh geometry models; Mathematics of computing: Partial differential equations;
List of contributors:
Spagnuolo, Michela; Patane', Giuseppe; Cabiddu, Daniela
Authors of the University:
CABIDDU DANIELA
PATANE' GIUSEPPE
SPAGNUOLO MICHELA
Handle:
https://iris.cnr.it/handle/20.500.14243/415043
Book title:
STAG: Smart Tools and Applications in Graphics (2022)
  • Overview

Overview

URL

https://diglib.eg.org/bitstream/handle/10.2312/stag20221251/011-019.pdf?sequence=1&isAllowed=y
  • Use of cookies

Powered by VIVO | Designed by Cineca | 26.5.0.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)