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    亢战

    • 教授     博士生导师   硕士生导师
    • 主要任职:Deputy Dean, Faculty of Vehicle Engineering and Mechanics
    • 其他任职:Deputy Dean, Faculty of Vehicle Engineering and Mechanics
    • 性别:男
    • 毕业院校:stuttgart大学
    • 学位:博士
    • 所在单位:力学与航空航天学院
    • 学科:工程力学. 计算力学. 航空航天力学与工程. 固体力学
    • 办公地点:综合实验一号楼522房间
      https://orcid.org/0000-0001-6652-7831
      http://www.ideasdut.com
      https://scholar.google.com/citations?user=PwlauJAAAAAJ&hl=zh-CN&oi=ao
    • 联系方式:zhankang#dlut.edu.cn 84706067
    • 电子邮箱:zhankang@dlut.edu.cn

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    Adaptive topology optimization with independent error control for separated displacement and density fields

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    论文类型:期刊论文

    发表时间:2014-04-15

    发表刊物:COMPUTERS & STRUCTURES

    收录刊物:SCIE、EI、Scopus

    卷号:135

    页面范围:50-61

    ISSN号:0045-7949

    关键字:Topology optimization; Adaptive refinement; Independent error control; Independent Point-wise Density Interpolation; Nodal design variable; GTR indicator

    摘要:This paper proposes a new adaptive method for topology optimization of structures, by using independent error control for the separated displacement and material density fields. Since the arrangement of the density points is unnecessarily associated with the analysis mesh in the topology optimization based on analysis-separated density interpolation, the refinements of each field can be separately implemented. Here, the analysis mesh is refined to improve the computational accuracy of the displacement field and the associated strain field within certain local regions (e.g. the regions around concentrated loading points and displacement restrictions), while the density field is refined in the regions between fully solid and void phases to improve the geometrical description quality of design boundaries. With such a strategy, the refinements of the analysis mesh and the density field are naturally separated and not bond together anymore. Actually, each refinement process is independently performed only when and where necessary. Numerical examples show that the proposed method can achieve high-quality and high-accuracy optimal solutions comparable to those obtained with fixed globally fine analysis meshes and fine distributed density points, but with much less computational cost. (C) 2014 Elsevier Ltd. All rights reserved.