2018
DOI: 10.2514/1.c034491
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Comparison of Fixed and Adaptive Unstructured Grid Results for Drag Prediction Workshop 6

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Cited by 14 publications
(5 citation statements)
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“…Documenting the impact of discretization on a series of unstructured adaptive grids from the same trajectory could help to define improved metric or grid requirements. If orthogonality is shown to be critical, Michal et al [47] inserted a semistructured prismatic boundary layer and Loseille [30] provides a method that encourages metric-orthogonal elements. More research is required to definitively show the impacts of orthogonality in the context of adaptive grid methods.…”
Section: Discussionmentioning
confidence: 99%
“…Documenting the impact of discretization on a series of unstructured adaptive grids from the same trajectory could help to define improved metric or grid requirements. If orthogonality is shown to be critical, Michal et al [47] inserted a semistructured prismatic boundary layer and Loseille [30] provides a method that encourages metric-orthogonal elements. More research is required to definitively show the impacts of orthogonality in the context of adaptive grid methods.…”
Section: Discussionmentioning
confidence: 99%
“…Such treatments can introduce numerical errors while not being readily available in standard flow solvers. Additionally, a number of remeshing software using a metricbased strategy, based on the Delaunay method [15,16,17,18,19,20,21,22], are available, often under open-source licensing. In metric-based mesh adaptation a new mesh is generated for the entire computational domain.…”
Section: Introductionmentioning
confidence: 99%
“…Among the available mesh adaptation softwares using a metric-based strategy, based on the Delaunay method [37][38][39][40][41][42][43], MMG is a remeshing library developed by Bordeaux INP, CNRS, Sorbonne Université and INRIA [22,44]. The MMG software, supporting both 2D and 3D remeshing (MMG2D and MMG3D) has been chosen in this work, relying on primitive operators like edge splitting, edge collapsing, edge swapping, and node relocation.…”
Section: Introductionmentioning
confidence: 99%