Generation of Delaunay meshes in implicit domains with edge sharpening
- Authors: Belokrys-Fedotov A.I.1,2, Garanzha V.A.1,2, Kudryavtseva L.N.1,2
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Affiliations:
- Dorodnicyn Computing Center, Federal Research Center “Computer Science and Control”
- Moscow Institute of Physics and Technology
- Issue: Vol 56, No 11 (2016)
- Pages: 1901-1918
- Section: Article
- URL: https://journal-vniispk.ru/0965-5425/article/view/178764
- DOI: https://doi.org/10.1134/S096554251611004X
- ID: 178764
Cite item
Abstract
A variational algorithm for the construction of 3D Delaunay meshes in implicit domains with a nonsmooth boundary is proposed. The algorithm is based on the self-organization of an elastic network in which each Delaunay edge is interpreted as an elastic strut. The elastic potential is constructed as a combination of the repulsion potential and the sharpening potential. The sharpening potential is applied only on the boundary and is used to minimize the deviation of the outward normals to the boundary faces from the direction of the gradient of the implicit function. Numerical experiments showed that in the case when the implicit function specifying the domain is considerably different from the signed distance function, the use of the sharpening potential proposed by Belyaev and Ohtake in 2002 leads to the mesh instability. A stable version of the sharpening potential is proposed. The numerical experiments showed that acceptable Delaunay meshes for complex shaped domains with sharp curved boundary edges can be constructed.
About the authors
A. I. Belokrys-Fedotov
Dorodnicyn Computing Center, Federal Research Center “Computer Science and Control”; Moscow Institute of Physics and Technology
Author for correspondence.
Email: belokrys.fedotov@gmail.com
Russian Federation, Moscow, 119333; Dolgoprudnyi, Moscow oblast, 141700
V. A. Garanzha
Dorodnicyn Computing Center, Federal Research Center “Computer Science and Control”; Moscow Institute of Physics and Technology
Email: belokrys.fedotov@gmail.com
Russian Federation, Moscow, 119333; Dolgoprudnyi, Moscow oblast, 141700
L. N. Kudryavtseva
Dorodnicyn Computing Center, Federal Research Center “Computer Science and Control”; Moscow Institute of Physics and Technology
Email: belokrys.fedotov@gmail.com
Russian Federation, Moscow, 119333; Dolgoprudnyi, Moscow oblast, 141700
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