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Journal of Computational Physics
Article . 2016 . Peer-reviewed
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Article . 2015
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Optimizing the geometrical accuracy of curvilinear meshes

Authors: Thomas Toulorge; Jonathan Lambrechts; Jean-François Remacle;

Optimizing the geometrical accuracy of curvilinear meshes

Abstract

This paper presents a method to generate valid high order meshes with optimized geometrical accuracy. The high order meshing procedure starts with a linear mesh, that is subsequently curved without taking care of the validity of the high order elements. An optimization procedure is then used to both untangle invalid elements and optimize the geometrical accuracy of the mesh. Standard measures of the distance between curves are considered to evaluate the geometrical accuracy in planar two-dimensional meshes, but they prove computationally too costly for optimization purposes. A fast estimate of the geometrical accuracy, based on Taylor expansions of the curves, is introduced. An unconstrained optimization procedure based on this estimate is shown to yield significant improvements in the geometrical accuracy of high order meshes, as measured by the standard Haudorff distance between the geometrical model and the mesh. Several examples illustrate the beneficial impact of this method on CFD solutions, with a particular role of the enhanced mesh boundary smoothness.

Submitted to JCP

Country
France
Keywords

geometrical accuracy, Hausdorff distance, High order mesh, FOS: Physical sciences, 65D99, 76M10, Numerical Analysis (math.NA), high order mesh, Computational Physics (physics.comp-ph), Geometrical accuracy, Mesh generation, refinement, and adaptive methods for boundary value problems involving PDEs, [SPI.MAT]Engineering Sciences [physics]/Materials, 510, 620, Computer-aided design (modeling of curves and surfaces), FOS: Mathematics, Mathematics - Numerical Analysis, Physics - Computational Physics

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
27
Top 10%
Top 10%
Top 10%
Green
bronze