个人信息Personal Information
教授
博士生导师
硕士生导师
任职 : 国家重点研发计划首席
性别:男
毕业院校:大连理工大学
学位:博士
所在单位:力学与航空航天学院
学科:车辆工程. 计算力学
办公地点:综合实验2号楼421A
联系方式:xuefeng@dlut.edu.cn
电子邮箱:xuefeng@dlut.edu.cn
论文成果
当前位置: 祝雪峰-大连理工大学 >> 科学研究 >> 论文成果Explicit three dimensional topology optimization via Moving Morphable Void (MMV) approach
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论文类型:期刊论文
发表时间:2017-08-01
发表刊物:COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
收录刊物:SCIE、EI、ESI高被引论文、Scopus
卷号:322
页面范围:590-614
ISSN号:0045-7825
关键字:Topology optimization; Moving Morphable Void (MMV); Moving Morphable Component (MMC); Topology description function (TDF); Explicit boundary evolution
摘要:Three dimensional (3D) topology optimization problems always involve huge numbers of Degrees of Freedom (DOFs) in finite element analysis (FEA) and design variables in numerical optimization, respectively. This will inevitably lead to large computational efforts in the solution process. In the present paper, an efficient and explicit topology optimization approach which can reduce not only the number of design variables but also the number of degrees of freedom in FEA is proposed based on the Moving Morphable Voids (MMVs) solution framework. This is achieved by introducing a set of geometry parameters (e.g., control points of B-spline surfaces) to describe the boundary of a structure explicitly and removing the unnecessary DOFs from the FE model at every step of numerical optimization. Numerical examples demonstrate that the proposed approach does can overcome the bottleneck problems associated with a 3D topology optimization problem in a straightforward way and enhance the solution efficiency significantly. (C) 2017 Elsevier B.V. All rights reserved.