雷娜

个人信息Personal Information

教授

博士生导师

硕士生导师

主要任职:软件学院(大连理工大学-立命馆大学国际信息与软件学院)党委书记

性别:女

毕业院校:吉林大学

学位:博士

所在单位:软件学院、国际信息与软件学院

学科:软件工程. 计算数学. 计算机应用技术

办公地点:大连理工大学开发区校区信息楼309室

联系方式:nalei@dlut.edu.cn

电子邮箱:nalei@dlut.edu.cn

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Quadrilateral and hexahedral mesh generation based on surface foliation theory II

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论文类型:期刊论文

发表时间:2017-07-01

发表刊物:COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

收录刊物:SCIE、EI、Scopus

卷号:321

页面范围:406-426

ISSN号:0045-7825

关键字:Hexahedral mesh; Quadrilateral mesh; Harmonic map; Foliation; Strebel differential

摘要:Automatic hexahedral mesh generation plays a fundamental role in CAD/CAE fields, especially for IGA (isogeometric analysis). Recently, an automatic hex-mesh generation method has been proposed, which is based on the equivalence among three key concepts: colorable quadrilateral meshes, finite measured foliations and Strebel differentials.
   This work focuses on the computational aspect of Strebel differentials on high genus surfaces, which is based on graph-valued harmonic mapping. The algorithmic pipeline is as follows: first, the user inputs an admissible curve system, which induces a cylindric-decomposition graph; then the user specifies the lengths of the edges of the graph; third, the algorithm finds the unique harmonic map from the surface to the metric graph by a non-linear heat flow; finally, the harmonic map induces a Strebel differential, which can be further utilized to generate the hex-mesh.
   The method has solid theoretic foundation, which guarantees the existence and the uniqueness of the graph-valued harmonic map. The algorithm is capable of handling surfaces with complicated topologies, and producing all possible Strebel differentials on the surface. The user has full control of the combinatorial type and the geometry of the Strebel differential. The computational pipeline is automatic.
   The experimental results show the efficiency and efficacy of the algorithm, and demonstrate the great potential for automating the structured hexahedral mesh generation. (C) 2017 Elsevier B.V. All rights reserved.