Physically Based Anisotropic Hexahedral Mesh Generation Method

Abstract Anisotropic meshes can better capture the anisotropic characteristics of the physical field, reduce the degree of freedom in solving, and improve the analysis accuracy. However, creating hexahedral meshes that are consistent with the results of physical analysis has proven to be challenging. To achieve this objective, this article proposes a physically based anisotropic hexahedral mesh generation method. This method directly generates meshes with element anisotropy based on the results of physical analysis. First, the initial Riemannian metric field of the model is obtained through posterior error analysis on a tetrahedral mesh. Then, an energy equation is constructed and solved for the optimized Riemannian metric field. Then, the model is deformed based on the Riemannian metric field to achieve metric space conversion, resulting in the transformation of the anisotropic mesh generation problem into the isotropic mesh generation problem. Finally, a uniform hexahedral mesh is generated for the deformation model using polycube-based method, and the anisotropic hexahedral mesh of the original model is obtained through inverse mapping and quality improvement. Experimental results demonstrate that, compared with isotropic hexahedral meshes at the same granularity, the anisotropic hexahedral mesh generated by the proposed method can reduce the maximum analysis error and achieve higher solution accuracy.

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Publication Details

Journal
Journal of Computing and Information Science in Engineering
Published
2025-07-18
DOI
https://doi.org/10.1115/1.4069189
Primary Topic
Computational Geometry and Mesh Generation
Type
article
Field-Weighted Citation Impact
0.00

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article

Physically Based Anisotropic Hexahedral Mesh Generation Method

Rui Wang, Hongfei Zhan, Junhe Yu, Yujun Xu et al.
Journal of Computing and Information Science in Engineering
Computational Geometry and Mesh Generation
article

Physically Based Anisotropic Hexahedral Mesh Generation Method

Rui Wang, Hongfei Zhan, Junhe Yu, Yujun Xu, Shuming Gao, Chun Gen Shen
article en

Abstract

Abstract Anisotropic meshes can better capture the anisotropic characteristics of the physical field, reduce the degree of freedom in solving, and improve the analysis accuracy. However, creating hexahedral meshes that are consistent with the results of physical analysis has proven to be challenging. To achieve this objective, this article proposes a physically based anisotropic hexahedral mesh generation method. This method directly generates meshes with element anisotropy based on the results of physical analysis. First, the initial Riemannian metric field of the model is obtained through posterior error analysis on a tetrahedral mesh. Then, an energy equation is constructed and solved for the optimized Riemannian metric field. Then, the model is deformed based on the Riemannian metric field to achieve metric space conversion, resulting in the transformation of the anisotropic mesh generation problem into the isotropic mesh generation problem. Finally, a uniform hexahedral mesh is generated for the deformation model using polycube-based method, and the anisotropic hexahedral mesh of the original model is obtained through inverse mapping and quality improvement. Experimental results demonstrate that, compared with isotropic hexahedral meshes at the same granularity, the anisotropic hexahedral mesh generated by the proposed method can reduce the maximum analysis error and achieve higher solution accuracy.

Journal of Computing and Information Science in EngineeringVol. 25(10)
Ningbo University (CN), Tianjin University (CN), Zhejiang University of Science and Technology (CN), Guangdong Institute of Intelligent Manufacturing (CN), Intelligent Health (United Kingdom) (GB), State Key Laboratory of Chemical Engineering (CN), Zhejiang University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Ningbo Municipality
Peace, Justice and strong institutions
Openalex Percentile: Top 65%
Computational Geometry and Mesh Generation
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