Surface Structured Quadrilateral Mesh Generation Based on Topology Consistent-Preserved Patch Segmentation

IF 2.7 3区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Haoxuan Zhang, Haisheng Li, Xiaoqun Wu, Nan Li
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引用次数: 0

Abstract

Surface-structured mesh generation is an important part of the Computational Fluid Dynamics (CFD) preprocessing stage. The traditional method cannot automatically divide the 3D surface topology in complex structures. Thus, we propose a surface-structured quadrilateral mesh generation method based on topology-consistent-preserved patch segmentation. The core idea is to segment the complex 3D model into several simple parts according to mesh quality and map each part to the 2D parametric domain based on the conformal parameterization method. Then, we utilize pattern-based topology partitioning to divide the parametric domain into multiple quadrilateral subdomains, facilitating the generation of 2D structured quadrilateral meshes. By using the inverse mapping algorithm based on barycentric weights, the generated 2D structured mesh is inversely mapped back to the 3D space. Finally, we splice each part accurately according to the structured mesh distribution. Experimental results show that our proposed method can generate higher-quality structured quadrilateral meshes than previous methods without losing the mesh topology of the original model.

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来源期刊
CiteScore
5.70
自引率
6.90%
发文量
276
审稿时长
5.3 months
期刊介绍: The International Journal for Numerical Methods in Engineering publishes original papers describing significant, novel developments in numerical methods that are applicable to engineering problems. The Journal is known for welcoming contributions in a wide range of areas in computational engineering, including computational issues in model reduction, uncertainty quantification, verification and validation, inverse analysis and stochastic methods, optimisation, element technology, solution techniques and parallel computing, damage and fracture, mechanics at micro and nano-scales, low-speed fluid dynamics, fluid-structure interaction, electromagnetics, coupled diffusion phenomena, and error estimation and mesh generation. It is emphasized that this is by no means an exhaustive list, and particularly papers on multi-scale, multi-physics or multi-disciplinary problems, and on new, emerging topics are welcome.
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