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An adaptive mesh refinement scheme for hierarchical hybrid grids

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F25%3A10260666" target="_blank" >RIV/61989100:27240/25:10260666 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://link.springer.com/article/10.21136/AM.2025.0186-25" target="_blank" >https://link.springer.com/article/10.21136/AM.2025.0186-25</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.21136/AM.2025.0186-25" target="_blank" >10.21136/AM.2025.0186-25</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    An adaptive mesh refinement scheme for hierarchical hybrid grids

  • Popis výsledku v původním jazyce

    This work introduces an adaptive mesh refinement technique for hierarchical hybrid grids with the goal to reach scalability and maintain excellent performance on massively parallel computer systems. On the block-structured hierarchical hybrid grids, this is accomplished by using classical, unstructured refinement only on the coarsest level of the hierarchy, while keeping the number of structured refinement levels constant over the whole domain. This leads to a compromise, where the excellent performance characteristics of hierarchical hybrid grids can be maintained at the price that the flexibility of generating locally refined meshes is constrained. Furthermore, the mesh adaptivity often relies on a posteriori error estimators or error indicators, which tend to become computationally expensive. Again, with the goal of preserving scalability and performance, a method is proposed that leverages the grid hierarchy and the full multigrid scheme. Utilizing the sequence of approximations on the nested hierarchy of grids permits the computation of a cheap error estimator that is well-suited for large-scale parallel computing. We present the theoretical foundations for both global and local error estimates, and present a rigorous analysis of their effectivity. The proposed method, including the error estimator and the adaptive coarse grid refinement, is implemented in the finite element framework HyTeG. Extensive numerical experiments are conducted to validate the effectiveness, as well as performance and scalability.

  • Název v anglickém jazyce

    An adaptive mesh refinement scheme for hierarchical hybrid grids

  • Popis výsledku anglicky

    This work introduces an adaptive mesh refinement technique for hierarchical hybrid grids with the goal to reach scalability and maintain excellent performance on massively parallel computer systems. On the block-structured hierarchical hybrid grids, this is accomplished by using classical, unstructured refinement only on the coarsest level of the hierarchy, while keeping the number of structured refinement levels constant over the whole domain. This leads to a compromise, where the excellent performance characteristics of hierarchical hybrid grids can be maintained at the price that the flexibility of generating locally refined meshes is constrained. Furthermore, the mesh adaptivity often relies on a posteriori error estimators or error indicators, which tend to become computationally expensive. Again, with the goal of preserving scalability and performance, a method is proposed that leverages the grid hierarchy and the full multigrid scheme. Utilizing the sequence of approximations on the nested hierarchy of grids permits the computation of a cheap error estimator that is well-suited for large-scale parallel computing. We present the theoretical foundations for both global and local error estimates, and present a rigorous analysis of their effectivity. The proposed method, including the error estimator and the adaptive coarse grid refinement, is implemented in the finite element framework HyTeG. Extensive numerical experiments are conducted to validate the effectiveness, as well as performance and scalability.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    10102 - Applied mathematics

Návaznosti výsledku

  • Projekt

  • Návaznosti

    O - Projekt operacniho programu

Ostatní

  • Rok uplatnění

    2025

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    Applications of Mathematics

  • ISSN

    0862-7940

  • e-ISSN

    1572-9109

  • Svazek periodika

    70

  • Číslo periodika v rámci svazku

    6

  • Stát vydavatele periodika

    CZ - Česká republika

  • Počet stran výsledku

    31

  • Strana od-do

    875-905

  • Kód UT WoS článku

    001638940400010

  • EID výsledku v databázi Scopus