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Volume 16, Issue 5
Anisotropic Mesh Adaptation Method Based on Anisotropic Bubble-Type Local Mesh Generation

Wei Guo, Yufeng Nie & Weiwei Zhang

Int. J. Numer. Anal. Mod., 16 (2019), pp. 745-766.

Published online: 2019-08

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  • Abstract

A new anisotropic adaptive mesh refinement method based on anisotropic bubble-type local mesh generation (ABLMG) for elliptic partial differential equations is proposed. The anisotropic meshes are generated as quasi-uniform meshes in metric spaces with the metric determined on each vertex by anisotropic a posteriori error estimator. Under the new metric, the error is equidistributed in the directions of maximum and minimum stretching on an element, and the mesh size is reduced/coarsened in regions with large/small errors. With the full use of the adjacent lists provided by the node placement method, the local mesh for each vertex is generated through ABLMG method. Compared with other methods, the mesh refining and coarsening can be obtained in the same framework and the mesh suits the metric well at each refinement level. Numerical results in two-dimensions are presented to verify the ability of our metric tensor to generate anisotropic mesh with correct concentration and stretching direction.

  • Keywords

Metric tensor, anisotropic mesh, adaptive finite element, node placement and local mesh generation.

  • AMS Subject Headings

65N30, 65N50

  • Copyright

COPYRIGHT: © Global Science Press

  • Email address

guowei@mail.nwpu.edu.cn (Wei Guo)

yfnie@nwpu.edu.cn (Yufeng Nie)

wwzhang@nwpu.edu.cn (Weiwei Zhang)

  • BibTex
  • RIS
  • TXT
@Article{IJNAM-16-745, author = {Guo , WeiNie , Yufeng and Zhang , Weiwei}, title = {Anisotropic Mesh Adaptation Method Based on Anisotropic Bubble-Type Local Mesh Generation}, journal = {International Journal of Numerical Analysis and Modeling}, year = {2019}, volume = {16}, number = {5}, pages = {745--766}, abstract = {

A new anisotropic adaptive mesh refinement method based on anisotropic bubble-type local mesh generation (ABLMG) for elliptic partial differential equations is proposed. The anisotropic meshes are generated as quasi-uniform meshes in metric spaces with the metric determined on each vertex by anisotropic a posteriori error estimator. Under the new metric, the error is equidistributed in the directions of maximum and minimum stretching on an element, and the mesh size is reduced/coarsened in regions with large/small errors. With the full use of the adjacent lists provided by the node placement method, the local mesh for each vertex is generated through ABLMG method. Compared with other methods, the mesh refining and coarsening can be obtained in the same framework and the mesh suits the metric well at each refinement level. Numerical results in two-dimensions are presented to verify the ability of our metric tensor to generate anisotropic mesh with correct concentration and stretching direction.

}, issn = {2617-8710}, doi = {https://doi.org/}, url = {http://global-sci.org/intro/article_detail/ijnam/13252.html} }
TY - JOUR T1 - Anisotropic Mesh Adaptation Method Based on Anisotropic Bubble-Type Local Mesh Generation AU - Guo , Wei AU - Nie , Yufeng AU - Zhang , Weiwei JO - International Journal of Numerical Analysis and Modeling VL - 5 SP - 745 EP - 766 PY - 2019 DA - 2019/08 SN - 16 DO - http://doi.org/ UR - https://global-sci.org/intro/article_detail/ijnam/13252.html KW - Metric tensor, anisotropic mesh, adaptive finite element, node placement and local mesh generation. AB -

A new anisotropic adaptive mesh refinement method based on anisotropic bubble-type local mesh generation (ABLMG) for elliptic partial differential equations is proposed. The anisotropic meshes are generated as quasi-uniform meshes in metric spaces with the metric determined on each vertex by anisotropic a posteriori error estimator. Under the new metric, the error is equidistributed in the directions of maximum and minimum stretching on an element, and the mesh size is reduced/coarsened in regions with large/small errors. With the full use of the adjacent lists provided by the node placement method, the local mesh for each vertex is generated through ABLMG method. Compared with other methods, the mesh refining and coarsening can be obtained in the same framework and the mesh suits the metric well at each refinement level. Numerical results in two-dimensions are presented to verify the ability of our metric tensor to generate anisotropic mesh with correct concentration and stretching direction.

Wei Guo, Yufeng Nie & Weiwei Zhang. (2019). Anisotropic Mesh Adaptation Method Based on Anisotropic Bubble-Type Local Mesh Generation. International Journal of Numerical Analysis and Modeling. 16 (5). 745-766. doi:
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