A new method based on adaptive volume constraint and stress penalty for stress-constrained topology optimization

被引:27
|
作者
Chu, Sheng [1 ]
Gao, Liang [1 ]
Xiao, Mi [1 ]
Luo, Zhen [2 ]
Li, Hao [1 ]
Gui, Xin [1 ]
机构
[1] Huazhong Univ Sci & Technol, State Key Lab Digital Mfg Equipment & Technol, Wuhan 430074, Peoples R China
[2] Univ Technol Sydney, Sch Mech & Mechatron Engn, 15 Broadway, Ultimo, NSW 2007, Australia
基金
中国国家自然科学基金;
关键词
Stress-constrained topology optimization; Adaptive volume constraint; Stress penalty; Stress-penalty-based compliance minimization; Volume-decision; LEVEL SET METHOD; CONTINUUM STRUCTURES; STRUCTURAL SHAPE; SENSITIVITY;
D O I
10.1007/s00158-017-1803-4
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This paper focuses on the stress-constrained topology optimization of minimizing the structural volume and compliance. A new method based on adaptive volume constraint and stress penalty is proposed. According to this method, the stress-constrained volume and compliance minimization topology optimization problem is transformed into two simple and related problems: a stress-penalty-based compliance minimization problem and a volume-decision problem. In the former problem, stress penalty is conducted and used to control the local stress level of the structure. To solve this problem, the parametric level set method with the compactly supported radial basis functions is adopted. Meanwhile, an adaptive adjusting scheme of the stress penalty factor is used to improve the control of the local stress level. To solve the volume-decision problem, a combination scheme of the interval search and local search is proposed. Numerical examples are used to test the proposed method. Results show the lightweight design, which meets the stress constraint and whose compliance is simultaneously optimized, can be obtained by the proposed method.
引用
收藏
页码:1163 / 1185
页数:23
相关论文
共 50 条
  • [21] Three-dimensional adaptive mesh refinement in stress-constrained topology optimization
    Salazar de Troya, Miguel A.
    Tortorelli, Daniel A.
    STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2020, 62 (05) : 2467 - 2479
  • [22] Heaviside projection-based aggregation in stress-constrained topology optimization
    Wang, Cunfu
    Qian, Xiaoping
    INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING, 2018, 115 (07) : 849 - 871
  • [23] Stress-constrained continuum topology optimization: a new approach based on elasto-plasticity
    Amir, Oded
    STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2017, 55 (05) : 1797 - 1818
  • [24] Stress-constrained topology optimization for compliant mechanism design
    Daniel M. De Leon
    Joe Alexandersen
    Jun S. O. Fonseca
    Ole Sigmund
    Structural and Multidisciplinary Optimization, 2015, 52 : 929 - 943
  • [25] Stress-constrained topology optimization for compliant mechanism design
    De Leon, Daniel M.
    Alexandersen, Joe
    Fonseca, Jun S. O.
    Sigmund, Ole
    STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2015, 52 (05) : 929 - 943
  • [26] A mixed FEM approach to stress-constrained topology optimization
    Bruggi, M.
    Venini, P.
    INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING, 2008, 73 (12) : 1693 - 1714
  • [27] Transient stress-constrained topology optimization of impacted structures
    Wang, Chao
    Zhou, E. L.
    Wu, Yi
    Li, Eric
    Huang, Y. Y.
    STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2023, 66 (04)
  • [28] A level set-based method for stress-constrained multimaterial topology optimization of minimizing a global measure of stress
    Chu, Sheng
    Xiao, Mi
    Gao, Liang
    Li, Hao
    INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING, 2019, 117 (07) : 800 - 818
  • [29] Computational framework for a family of methods based on stress-constrained topology optimization
    Tauzowski, Piotr
    Blachowski, Bartlomiej
    Logo, Janos
    COMPUTERS & STRUCTURES, 2024, 303
  • [30] Adaptive volume constraint algorithm for stress limit-based topology optimization
    Lin, Chyi-Yeu
    Sheu, Fang-Ming
    COMPUTER-AIDED DESIGN, 2009, 41 (09) : 685 - 694