个人信息Personal Information
教授
博士生导师
硕士生导师
任职 : CAD/CAE工程中心主任
性别:男
毕业院校:大连理工大学
学位:硕士
所在单位:力学与航空航天学院
联系方式:guanzhq@dlut.edu.cn
电子邮箱:guanzhq@dlut.edu.cn
A robust Delaunay-AFT based parallel method for the generation of large-scale fully constrained meshes
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论文类型:期刊论文
发表时间:2020-02-01
发表刊物:COMPUTERS & STRUCTURES
收录刊物:EI、SCIE
卷号:228
ISSN号:0045-7949
关键字:Finite element mesh generation; Parallel algorithms; Domain decomposition; Delaunay triangulations; Delaunay-AFT; Out-of-core
摘要:Making full use of a sequential Delaunay-AFT mesher, a parallel method for the generation of large-scale tetrahedral meshes on distributed-memory machines is developed. To generate meshes with the required and the preserved properties, a Delaunay-AFT based domain decomposition (DD) technique is employed. Starting from the Delaunay triangulation (DT) covering the problem domain, this technique creates a layer of elements dividing the domain into several zones. The initially coarsely meshed domain is partitioned into DTs of subdomains which can be meshed in parallel. When the size of a subdomain is smaller than a user-specified threshold, it will be meshed with the standard Delaunay-AFT mesher. A two-level DD strategy is designed to improve the parallel efficiency of this algorithm. A dynamic load balancing scheme is also implemented using the Message Passing Interface (MPI). Out-of-core meshing is introduced to accommodate excessive large meshes that cannot be handled by the available memory of the computer (RAM). Numerical tests are performed for various complex geometries with thousands of surface patches. Ultra-large-scale meshes with more than ten billion tetrahedral elements have been created. Moreover, the meshes generated with different numbers of DD operations are nearly identical in quality: showing the consistency and the stability of the automatic decomposition algorithm. (C) 2019 Elsevier Ltd. All rights reserved.