2004
DOI: 10.1002/nme.1063
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LayTracks: a new approach to automated geometry adaptive quadrilateral mesh generation using medial axis transform

Abstract: SUMMARYA new mesh generation algorithm called 'LayTracks', to automatically generate an all quad mesh that is adapted to the variation of geometric feature size in the domain is described. LayTracks combines the merits of two popular direct techniques for quadrilateral mesh generation-quad meshing by decomposition and advancing front quad meshing. While the MAT has been used for the domain decomposition before, this is the first attempt to use the MAT, for the robust subdivision of a complex domain into a well… Show more

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Cited by 31 publications
(12 citation statements)
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References 25 publications
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“…A method with some similarities to the presented method is LayTracks [23]. Its strategy for mesh generation is fundamentally different to decomposition based methods -it uses the medial axis to generate a mesh directly as opposed to of using it to infer mesh properties and with that information create a decomposition.…”
Section: Other Quad Mesh Generation Methodsmentioning
confidence: 99%
“…A method with some similarities to the presented method is LayTracks [23]. Its strategy for mesh generation is fundamentally different to decomposition based methods -it uses the medial axis to generate a mesh directly as opposed to of using it to infer mesh properties and with that information create a decomposition.…”
Section: Other Quad Mesh Generation Methodsmentioning
confidence: 99%
“…A geometrical guide is provided by the medial axis, which is used to align and layer the elements according to the shape of the domain [27][28][29][30][31][32]. Instead of using the geometrical description of the medial axis as a guide, we propose to use the level sets of a scalar field.…”
Section: Related Workmentioning
confidence: 99%
“…Including methods devised to generate quadrangle surface tilings, the rich literature on this topic contains approaches which proceed by quadrangulation [9,3], square packing [28], advancing front [22], conversion [8], decimation [18], Morse-Smale complexes [14,33,17], clustering [4,20], local and global operators [23,19], whisker weaving [32], medial axis [24], streamlining [1,21] and parameterization [25,29,7].…”
Section: Previous Workmentioning
confidence: 99%