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Volume 37, Issue 3
An Adaptive Polygonal Finite Volume Element Method Based on the Mean Value Coordinates for Anisotropic Diffusion Problems

Yanlong Zhang & Jiming Wu

Commun. Comput. Phys., 37 (2025), pp. 783-809.

Published online: 2025-03

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  • Abstract

We propose a polygonal finite volume element method based on the mean value coordinates for anisotropic diffusion problems on star-shaped polygonal meshes. Because the convex cells with hanging nodes are always star-shaped, the computation on them is no longer a problem. Naturally, we apply this advantage of the new polygonal finite volume element method to construct an adaptive polygonal finite volume element algorithm. Moreover, we introduce two refinement strategies, called quadtree-based refinement strategy and polytree-based refinement strategy respectively, and they all have great performance in our numerical tests. The new adaptive algorithm allows the use of hanging nodes, and the number of hanging nodes on each edge is unrestricted in general. Finally, several numerical examples are provided to show the convergence and efficiency of the proposed method on various polygonal meshes. The numerical results also show that the new adaptive algorithm not only reduces the computational cost and the implementation complexity in mesh refinement, but also ensures the accuracy and convergence.

  • AMS Subject Headings

65N08, 65N12

  • Copyright

COPYRIGHT: © Global Science Press

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@Article{CiCP-37-783, author = {Zhang , Yanlong and Wu , Jiming}, title = {An Adaptive Polygonal Finite Volume Element Method Based on the Mean Value Coordinates for Anisotropic Diffusion Problems}, journal = {Communications in Computational Physics}, year = {2025}, volume = {37}, number = {3}, pages = {783--809}, abstract = {

We propose a polygonal finite volume element method based on the mean value coordinates for anisotropic diffusion problems on star-shaped polygonal meshes. Because the convex cells with hanging nodes are always star-shaped, the computation on them is no longer a problem. Naturally, we apply this advantage of the new polygonal finite volume element method to construct an adaptive polygonal finite volume element algorithm. Moreover, we introduce two refinement strategies, called quadtree-based refinement strategy and polytree-based refinement strategy respectively, and they all have great performance in our numerical tests. The new adaptive algorithm allows the use of hanging nodes, and the number of hanging nodes on each edge is unrestricted in general. Finally, several numerical examples are provided to show the convergence and efficiency of the proposed method on various polygonal meshes. The numerical results also show that the new adaptive algorithm not only reduces the computational cost and the implementation complexity in mesh refinement, but also ensures the accuracy and convergence.

}, issn = {1991-7120}, doi = {https://doi.org/10.4208/cicp.OA-2023-0213}, url = {http://global-sci.org/intro/article_detail/cicp/23922.html} }
TY - JOUR T1 - An Adaptive Polygonal Finite Volume Element Method Based on the Mean Value Coordinates for Anisotropic Diffusion Problems AU - Zhang , Yanlong AU - Wu , Jiming JO - Communications in Computational Physics VL - 3 SP - 783 EP - 809 PY - 2025 DA - 2025/03 SN - 37 DO - http://doi.org/10.4208/cicp.OA-2023-0213 UR - https://global-sci.org/intro/article_detail/cicp/23922.html KW - Polygonal finite volume element method, mean value coordinates, hanging nodes, adaptive algorithm. AB -

We propose a polygonal finite volume element method based on the mean value coordinates for anisotropic diffusion problems on star-shaped polygonal meshes. Because the convex cells with hanging nodes are always star-shaped, the computation on them is no longer a problem. Naturally, we apply this advantage of the new polygonal finite volume element method to construct an adaptive polygonal finite volume element algorithm. Moreover, we introduce two refinement strategies, called quadtree-based refinement strategy and polytree-based refinement strategy respectively, and they all have great performance in our numerical tests. The new adaptive algorithm allows the use of hanging nodes, and the number of hanging nodes on each edge is unrestricted in general. Finally, several numerical examples are provided to show the convergence and efficiency of the proposed method on various polygonal meshes. The numerical results also show that the new adaptive algorithm not only reduces the computational cost and the implementation complexity in mesh refinement, but also ensures the accuracy and convergence.

Zhang , Yanlong and Wu , Jiming. (2025). An Adaptive Polygonal Finite Volume Element Method Based on the Mean Value Coordinates for Anisotropic Diffusion Problems. Communications in Computational Physics. 37 (3). 783-809. doi:10.4208/cicp.OA-2023-0213
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