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Generation of Block Structured Grids on Complex Domains for High Performance Simulation

Title data

Zint, Daniel ; Grosso, Roberto ; Aizinger, Vadym ; Köstler, Harald:
Generation of Block Structured Grids on Complex Domains for High Performance Simulation.
In: Garanzha, Vladimir A. ; Kamenski, Lennard ; Si, Hang (ed.): Numerical Geometry, Grid Generation and Scientific Computing : Proceedings of the 9th International Conference, NUMGRID 2018. - Cham : Springer International Publishing , 2019 . - pp. 87-99
ISBN 978-3-030-23436-2
DOI: https://doi.org/10.1007/978-3-030-23436-2_6

Project information

Project title:
Project's official titleProject's id
Rechenleistungsoptimierte Software-Strategien für auf unstrukturierten Gittern basierende Anwendungen in der OzeanmodellierungDFG AI 117/6-1

Project financing: Deutsche Forschungsgemeinschaft

Abstract in another language

In high performance computing, block structured grids are favored due to their geometric adaptability while supporting computational performance optimizations connected with structured grid discretizations. However, many problems on geometrically complex domains are traditionally solved using fully unstructured (most frequently simplicial) meshes. We attempt to address this deficiency in the two-dimensional case by presenting a method which generates block structured grids with a prescribed number of blocks from an arbitrary triangular grid. High importance was assigned to mesh quality while simultaneously allowing for complex domains. Our method guarantees fulfillment of user-defined minimal element quality criteria---an essential feature for grid generators in simulations using finite element or finite volume methods. The performance of the proposed method is evaluated on grids constructed for regional ocean simulations utilizing two-dimensional shallow water equations.

Further data

Item Type: Article in a book
Refereed: Yes
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 > Chair Scientific Computing - Univ.-Prof. Dr. Mario Bebendorf
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 > Research Centres
Research Institutions > Research Centres > Forschungszentrum für Modellbildung und Simulation (MODUS)
Research Institutions > Research Centres > Forschungszentrum für Wissenschaftliches Rechnen an der Universität Bayreuth - HPC-Forschungszentrum
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Scientific Computing
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
500 Science > 510 Mathematics
500 Science > 550 Earth sciences, geology
Date Deposited: 31 Oct 2019 07:25
Last Modified: 26 Feb 2020 09:26
URI: https://eref.uni-bayreuth.de/id/eprint/52963