Multiscale isogeometric topology optimization for lattice materials

被引:200
|
作者
Wang, Yingjun [1 ,2 ]
Xu, Hang [2 ]
Pasini, Damiano [2 ]
机构
[1] South China Univ Technol, Sch Mech & Automot Engn, Guangzhou 510640, Guangdong, Peoples R China
[2] McGill Univ, Dept Mech Engn, Montreal, PQ H3A 0C3, Canada
关键词
Topology optimization; Lattice material; Isogeometric analysis; Asymptotic homogenization; Multiscale mechanics; LEVEL SET METHOD; SHAPE OPTIMIZATION; HOMOGENIZATION; DESIGN; COMPOSITE; STIFFNESS; DAMAGE; NURBS; CAD;
D O I
10.1016/j.cma.2016.08.015
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper presents isogeometric topology optimization (ITO) for periodic lattice materials, where non-uniform rational B-spline (NURBS) basis functions of CAD models are directly used in the finite element analysis to improve computational accuracy and efficiency. Two TO schemes that use asymptotic homogenization (AH) for the calculation of the mechanical properties are proposed for lattice materials with uniform and graded relative density respectively. To accelerate ITO for graded lattice materials, the mechanical properties are expressed as a function of the relative density of the unit cell, a step that avoids their iterative calculations during ITO. Three benchmark examples are presented to validate the proposed scheme with results that show tangible advantages, such as reduced computational time and faster convergence, of ITO over conventional TO. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:568 / 585
页数:18
相关论文
共 50 条
  • [1] Multiscale Isogeometric Topology Optimization with Unified Structural Skeleton
    Yu, Chen
    Wang, Qifu
    Mei, Chao
    Xia, Zhaohui
    CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES, 2020, 122 (03): : 778 - 802
  • [2] Isogeometric topology optimization of strain gradient materials
    Li, Baotong
    Duan, Yuqi
    Yang, Hua
    Lou, Yanshan
    Muiller, Wolfgang H.
    COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2022, 397
  • [3] Multiscale Isogeometric Topology Optimization of Cellular Structures for Heat Dissipation
    Huang M.
    Xiao M.
    Liu X.
    Sha W.
    Zhou M.
    Gao L.
    Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 2024, 60 (01): : 54 - 64
  • [4] Multi-objective concurrent isogeometric topology optimization of multiscale structures
    Liu, Jianli
    Fan, Hongshuo
    Nie, Tao
    Zhang, Haobo
    Yu, Jingui
    Wang, Shuting
    Xia, Zhaohui
    FRONTIERS OF MECHANICAL ENGINEERING, 2025, 20 (01)
  • [5] Multiscale concurrent topology optimization for structures with multiple lattice materials considering interface connectivity
    Gu, Xuechen
    Song, Tao
    Dong, Yihao
    Luo, Yunfeng
    He, Shaoming
    STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2023, 66 (11)
  • [6] Multiscale concurrent topology optimization for structures with multiple lattice materials considering interface connectivity
    Xuechen Gu
    Tao Song
    Yihao Dong
    Yunfeng Luo
    Shaoming He
    Structural and Multidisciplinary Optimization, 2023, 66
  • [7] Multiscale topology optimization of lattice structures based on parallel multiscale computing
    Yan, Jun
    Shan, Lianzhen
    Huo, Sixu
    Wang, Fuhao
    Yan, Kun
    MECHANICS OF ADVANCED MATERIALS AND STRUCTURES, 2025,
  • [8] Design of lattice structures with direct multiscale topology optimization
    Van-Nam Hoang
    Phuong Tran
    Van-Tuyen Vu
    Nguyen-Xuan, H.
    COMPOSITE STRUCTURES, 2020, 252
  • [9] Multiscale fail-safe topology optimization for lattice structures
    Huang, Huili
    Ding, Wei
    Jia, Huanfei
    Zuo, Wenjie
    Cheng, Fei
    THIN-WALLED STRUCTURES, 2025, 206
  • [10] Design of graded lattice sandwich structures by multiscale topology optimization
    Xiao, Mi
    Liu, Xiliang
    Zhang, Yan
    Gao, Liang
    Gao, Jie
    Chu, Sheng
    COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2021, 384