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.

基于拓扑一致性保持补丁分割的表面结构四边形网格生成
表面结构网格生成是计算流体动力学(CFD)预处理阶段的重要组成部分。传统的方法不能自动划分复杂结构的三维表面拓扑。因此,我们提出了一种基于拓扑一致性保持补丁分割的表面结构四边形网格生成方法。其核心思想是根据网格质量将复杂的三维模型分割成几个简单的部分,并基于保形参数化方法将每个部分映射到二维参数域。然后,利用基于模式的拓扑划分将参数域划分为多个四边形子域,便于生成二维结构化四边形网格。利用基于质心权值的反映射算法,将生成的二维结构化网格逆映射回三维空间。最后,根据结构化的网格分布,对各部分进行精确拼接。实验结果表明,该方法在不丢失原始模型的网格拓扑结构的前提下,可以生成质量更高的结构化四边形网格。
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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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