Year: 2020
Author: Lin Fu, Xiangyu Hu, Nikolaus A. Adams
Communications in Computational Physics, Vol. 27 (2020), Iss. 5 : pp. 1275–1308
Abstract
In this paper, we extend the method (Fu et al., [1]) to anisotropic meshes by introducing an adaptive SPH (ASPH) concept with ellipsoidal kernels. First, anisotropic target feature-size and density functions, taking into account the effects of singularities, are defined based on the level-set methodology. Second, ASPH is developed such that the particle distribution relaxes towards the target functions. In order to prevent SPH particles from escaping the mesh generation regions, a ghost surface particle method is proposed in combination with a tailored interaction strategy. Necessary adaptations of supporting numerical algorithms, such as fast neighbor search, for enforcing mesh anisotropy are addressed. Finally, unstructured meshes are generated by an anisotropic Delaunay triangulation conforming to the Riemannian metrics for the resulting particle configuration. The performance of the proposed method is demonstrated by a set of benchmark cases.
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Journal Article Details
Publisher Name: Global Science Press
Language: English
DOI: https://doi.org/10.4208/cicp.OA-2019-0049
Communications in Computational Physics, Vol. 27 (2020), Iss. 5 : pp. 1275–1308
Published online: 2020-01
AMS Subject Headings: Global Science Press
Copyright: COPYRIGHT: © Global Science Press
Pages: 34
Keywords: Adaptive unstructured meshes anisotropic meshes level-set SPH anisotropic Delaunay triangulation.
Author Details
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A feature-aware SPH for isotropic unstructured mesh generation
Ji, Zhe
Fu, Lin
Hu, Xiangyu
Adams, Nikolaus
Computer Methods in Applied Mechanics and Engineering, Vol. 375 (2021), Iss. P.113634
https://doi.org/10.1016/j.cma.2020.113634 [Citations: 4]