刘君

个人信息Personal Information

特聘研究员

博士生导师

硕士生导师

任职 : 空气动力学会委员会委员;国家重大科技工程专项气动力/热专家组成员;《空气动力学报》编委;《气体物理》编委;

性别:男

毕业院校:中国空气动力研究与发展中心

学位:博士

所在单位:力学与航空航天学院

学科:飞行器设计. 流体力学

办公地点:大连理工大学综合实验一号楼203

联系方式:0411-84707176

电子邮箱:liujun65@dlut.edu.cn

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RBFs-MSA Hybrid Method for Mesh Deformation

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论文类型:期刊论文

发表时间:2012-08-01

发表刊物:CHINESE JOURNAL OF AERONAUTICS

收录刊物:SCIE、EI、ISTIC

卷号:25

期号:4

页面范围:500-507

ISSN号:1000-9361

关键字:moving mesh; mesh deforming; radial basis functions interpolation; moving submesh approach; CFD

摘要:Simulating unsteady flow phenomena involving moving boundaries is a challenging task, one key requirement of which is a reliable and fast algorithm to deform the computational mesh. Radial basis functions (RBFs) interpolation is a very simple and robust method to deform the mesh. However, the number of operations and the requirement of memory storage will be increased rapidly as the number of grid nodes increases, which limits the application of RBFs to three-dimensional (3D) moving mesh. Moving submesh approach (MSA) is an efficient method, but its robustness depends on the method used to deform the background mesh. A hybrid method which combines the benefits of MSA and RBFs interpolation, which is called RBFs-MSA, has been presented. This hybrid method is proved to be robust and efficient via several numerical examples. From the aspect of the quality of deforming meshes, this hybrid method is comparable with the RBFs interpolation; from the aspect of computing efficiency, one test case shows that RBFs-MSA is about two orders of magnitude faster than RBFs interpolation. For these benefits of RBFs-MSA, the new method is suitable for unsteady flow simulation which refers to boundaries movement.