h- and r-Adaptation on Simplicial Meshes Using MMG Tools
Autor: | Arpaia, Luca, Beaugendre, Heloise, Cirrottola, Luca, Froehly, Algiane, Lorini, Marco, Nouveau, Léo, Ricchiuto, Mario |
---|---|
Přispěvatelé: | Bureau de Recherches Géologiques et Minières (BRGM) (BRGM), Certified Adaptive discRete moDels for robust simulAtions of CoMplex flOws with Moving fronts (CARDAMOM), Institut de Mathématiques de Bordeaux (IMB), Université Bordeaux Segalen - Bordeaux 2-Université Sciences et Technologies - Bordeaux 1 (UB)-Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux (Bordeaux INP)-Centre National de la Recherche Scientifique (CNRS)-Université Bordeaux Segalen - Bordeaux 2-Université Sciences et Technologies - Bordeaux 1 (UB)-Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux (Bordeaux INP)-Centre National de la Recherche Scientifique (CNRS)-Inria Bordeaux - Sud-Ouest, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA) |
Rok vydání: | 2022 |
Předmět: | |
Zdroj: | Mesh Generation and Adaptation ISBN: 9783030925390 Mesh Generation and Adaptation Mesh Generation and Adaptation, 30, Springer International Publishing, pp.183-208, 2022, SEMA SIMAI Springer Series, ⟨10.1007/978-3-030-92540-6_9⟩ |
Popis: | International audience; We review some recent work on the enhancement and application of both r- and h-adaptation techniques, benefitting of the functionalities of the remeshing platform Mmg: www.mmgtools.org. Several contributions revolve around the level-set adaptation capabilities of the platform. These have been used to identify complex surfaces and then to either produce conformal 3D meshes, or to define a metric allowing to perform h-adaptation and control geometrical errors in the context of immersed boundary flow simulations. The performance of the recent distributed memory parallel implementation ParMmg is also discussed. In a similar spirit, we propose some improvements of r-adaptation methods to handle embedded fronts. |
Databáze: | OpenAIRE |
Externí odkaz: |