Automatic generation of anisotropic quadrilateral meshes on three-dimensional surfaces using metric specifications

IF 2.9 3区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY International Journal for Numerical Methods in Engineering Pub Date : 2002-02-12 DOI:10.1002/nme.408
Y. K. Lee, C. K. Lee
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引用次数: 20

Abstract

A new algorithm for constructing full quadrilateral anisotropic meshes on 3D surfaces is proposed in this paper. The proposed method is based on the advancing front and the systemic merging techniques. Full quadrilateral meshes are constructed by systemically converting triangular elements in the background meshes into quadrilateral elements.By using the metric specifications to describe the element characteristics, the proposed algorithm is applicable to convert both isotropic and anisotropic triangular meshes into full quadrilateral meshes. Special techniques for generating anisotropic quadrilaterals such as new selection criteria of base segment for merging, new approaches for the modifications of the background mesh and construction of quadrilateral elements, are investigated and proposed in this study. Since the final quadrilateral mesh is constructed from a background triangular mesh and the merging procedure is carried out in the parametric space, the mesh generator is robust and no expensive geometrical computation that is commonly associated with direct quadrilateral mesh generation schemes is needed. Copyright © 2002 John Wiley & Sons, Ltd.

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利用公制规范在三维表面上自动生成各向异性四边形网格
提出了一种在三维曲面上构造全四边形各向异性网格的新算法。该方法基于推进前沿和系统融合技术。将背景网格中的三角形元素系统地转换为四边形元素,构建全四边形网格。该算法采用度量规范描述单元特征,适用于将各向同性和各向异性三角形网格转换为全四边形网格。研究并提出了各向异性四边形生成的新技术,如合并基段的新选择准则、背景网格的修改方法和四边形单元的构建方法。由于最终的四边形网格是由背景三角形网格构造而来,并且合并过程是在参数空间中进行的,因此网格生成器具有鲁棒性,并且不需要直接四边形网格生成方案中常见的昂贵的几何计算。版权所有©2002 John Wiley &儿子,有限公司
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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