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A parameter-free adaptivity indicator for a p-adaptive discontinuous Galerkin discretization of the shallow water equations

Title data

Faghih-Naini, Sara ; Aizinger, Vadym ; Kuckuk, Sebastian ; Angersbach, Richard:
A parameter-free adaptivity indicator for a p-adaptive discontinuous Galerkin discretization of the shallow water equations.
2023
Event: SIAM Conference on Mathematical & Computational Issues in the Geosciences (GS23) , 19.-22. June 2023 , Bergen, Norway.
(Conference item: Conference , Speech )

Project information

Project title:
Project's official title
Project's id
Performance optimized software strategies for unstructured-mesh applications in ocean modeling
No information

Project financing: Deutsche Forschungsgemeinschaft

Abstract in another language

We propose a parameter-free adaptivity indicator for a p-adaptive quadrature-free discontinuous Galerkin discretization of the shallow water equations.
It aims to identify resolved and under-resolved solution parts while distinguishing between smooth and non-smooth regions without utilizing any problem-dependent parameters. The information collected for slope limiting is used to detect the error and smoothness of the solution. For piecewise constant discretizations, the indicator first performs a reconstruction procedure.
The accuracy and robustness of the new scheme are evaluated using several benchmarks from the literature and compared to other adaptivity indicators. Our results indicate that the proposed indicator finds a good balance between solution quality and computational overhead.

Further data

Item Type: Conference item (Speech)
Refereed: No
Institutions of the University: Faculties
Faculties > Faculty of Mathematics, Physics und Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Scientific Computing
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Professor Numerics of Partial Differential Equations
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Professor Numerics of Partial Differential Equations > Professor Numerics of Partial Differential Equations - Univ.-Prof. Dr. Vadym Aizinger
Research Institutions
Research Institutions > Central research institutes
Research Institutions > Central research institutes > Bayreuth Research Center for Modeling and Simulation - MODUS
Research Institutions > Central research institutes > Forschungszentrum für Wissenschaftliches Rechnen an der Universität Bayreuth - HPC-Forschungszentrum
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works
000 Computer Science, information, general works > 004 Computer science
500 Science
500 Science > 500 Natural sciences
500 Science > 510 Mathematics
500 Science > 550 Earth sciences, geology
600 Technology, medicine, applied sciences
600 Technology, medicine, applied sciences > 600 Technology
Date Deposited: 05 Jul 2023 09:20
Last Modified: 05 Jul 2023 09:20
URI: https://eref.uni-bayreuth.de/id/eprint/85958