Two-scale concurrent topology optimization of lattice structures with multiple microstructures subjected to dynamic load

被引:0
|
作者
Jiang, Xudong [1 ]
Qi, Jiawei [1 ]
Teng, Xiaoyan [2 ]
机构
[1] Harbin Univ Sci & Technol, Adv Mfg Intelligent Technol Key Lab, Minist Educ, Harbin 150080, Peoples R China
[2] Harbin Engn Univ, Electromech Engn Coll, Harbin 150001, Peoples R China
基金
中国国家自然科学基金;
关键词
Two-scale concurrent design; Multi-material topology optimization; Compliance minimization; Elastodynamics; Connectable microstructures; Numerical homogenization; SENSITIVITY-ANALYSIS; DESIGN;
D O I
10.1007/s11081-024-09950-z
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This work intends to present a two-scale concurrent topology optimization method for minimizing the compliance of lattice structures with multiple connectable microstructures under time-dependent dynamic load. Firstly, at the macroscale, the ordered solid isotropic material with penalization (SIMP) method and double smoothing and projection method is integrated to identify the macrostructural layout of any lattice material represented by a unique microstructure, i.e. optimal locations of microstructures. At the microscale, the connectivity between any pair of microstructures is guaranteed by adopting the designable connective region method. Then, for transient optimization problem, we implement the sensitivity analysis based on the adjoint method with the "discretize-then-differentiate" approach, which inherently generates consistent sensitivities. Moreover, we develop a decoupled sensitivity analysis method for transient concurrent topology optimization problems with multiple connectable microstructures for computationally efficient sensitivity analysis at the microscale. Finally, several numerical examples are presented to verify the effectiveness and the capability of the proposed approach.
引用
收藏
页数:30
相关论文
共 50 条
  • [31] Multiscale concurrent topology optimization for cellular structures with multiple microstructures based on ordered SIMP interpolation
    Zhang, Yan
    Xiao, Mi
    Li, Hao
    Gao, Liang
    Chu, Sheng
    COMPUTATIONAL MATERIALS SCIENCE, 2018, 155 : 74 - 91
  • [32] Cut-Cell Microstructures for Two-scale Structural Optimization
    Tozoni, Davi Colli
    Huang, Zizhou
    Panozzo, Daniele
    Zorin, Denis
    COMPUTER GRAPHICS FORUM, 2024, 43 (05)
  • [33] Two-scale optimization of graded lattice structures respecting buckling on micro- and macroscale
    Huebner, Daniel
    Wein, Fabian
    Stingl, Michael
    STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2023, 66 (07)
  • [34] Two-scale optimization of graded lattice structures respecting buckling on micro- and macroscale
    Daniel Hübner
    Fabian Wein
    Michael Stingl
    Structural and Multidisciplinary Optimization, 2023, 66
  • [35] Topology Optimization for Hybrid Lattice Compliant Mechanisms with Multiple Microstructures
    Wei, Nan
    Ye, Hongling
    Wang, Weiwei
    Li, Jicheng
    Tian, Fuwei
    Sui, Yunkang
    MATERIALS, 2022, 15 (20)
  • [36] Two-scale topology optimization design of sandwich structures of a porous core with respect to sound radiation
    Li W.
    Yang X.
    Li Y.
    Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica, 2016, 37 (04): : 1196 - 1206
  • [37] EFFICIENT TWO-SCALE OPTIMIZATION OF MANUFACTURABLE GRADED STRUCTURES
    Schury, Fabian
    Stingl, Michael
    Wein, Fabian
    SIAM JOURNAL ON SCIENTIFIC COMPUTING, 2012, 34 (06): : B711 - B733
  • [38] TWO-SCALE CONVERGENCE FOR LOCALLY PERIODIC MICROSTRUCTURES AND HOMOGENIZATION OF PLYWOOD STRUCTURES
    Ptashnyk, Mariya
    MULTISCALE MODELING & SIMULATION, 2013, 11 (01): : 92 - 117
  • [39] Multi-scale multi-material topology optimization for lattice structures with interface connective microstructures
    Zhou, Yongcheng
    Kim, Il Yong
    ENGINEERING OPTIMIZATION, 2025,
  • [40] Concurrent topology optimization for cellular structures with nonuniform microstructures based on the kriging metamodel
    Zhang, Yan
    Li, Hao
    Xiao, Mi
    Gao, Liang
    Chu, Sheng
    Zhang, Jinhao
    STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2019, 59 (04) : 1273 - 1299