Topology optimization for maximizing buckling strength using a linear material model

被引:17
作者
Xu, Tao [1 ]
Huang, Xiaodong [2 ]
Lin, Xiaoshan [1 ]
Xie, Yi Min [1 ]
机构
[1] RMIT Univ, Ctr Innovat Struct & Mat, Sch Engn, Melbourne 3001, Australia
[2] Swinburne Univ Technol, Fac Sci Engn & Technol, Hawthorn, Vic 3122, Australia
基金
澳大利亚研究理事会;
关键词
Topology optimization; Structural stability; Buckling resistance; Floating projection; Linear material model; GRADED LATTICE STRUCTURES; DESIGN; EFFICIENT;
D O I
10.1016/j.cma.2023.116437
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Buckling resistance has gained significant attention in topology optimization due to its profound implications for structural designs. Despite considerable research on buckling-constrained topology optimization, maximizing the critical buckling load factor (BLF) still remains a challenging topic. In this study, an innovative algorithm that utilizes a linear material interpolation scheme is introduced to maximize the buckling resistance of structures. The linear material model offers several advantages, such as obviating the need to select the penalization schemes and penalty values, facilitating straightforward sensitivity analysis, and removing the ambiguous physical meaning of penalization for the stress stiffness matrix. The accuracy of the linear material model for buckling analysis is systematically examined, and the avoidance of stress singularities in low-density regions is investigated. The effectiveness and efficiency of the proposed approach are supported by four buckling optimization design examples, which also demonstrate substantial improvements compared to the existing algorithms. (c) 2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
引用
收藏
页数:21
相关论文
共 42 条
[31]   New strategies for flexibility analysis and design under uncertainty [J].
Raspanti, CG ;
Bandoni, JA ;
Biegler, LT .
COMPUTERS & CHEMICAL ENGINEERING, 2000, 24 (9-10) :2193-2209
[32]  
Rozvany GIN., 2012, Structural Design Via Optimality Criteria: The Prager Approach to Structural Optimization
[33]   On the design of compliant mechanisms using topology optimization [J].
Sigmund, O .
MECHANICS OF STRUCTURES AND MACHINES, 1997, 25 (04) :493-524
[34]   Numerical instabilities in topology optimization: A survey on procedures dealing with checkerboards, mesh-dependencies and local minima [J].
Sigmund, O ;
Petersson, J .
STRUCTURAL OPTIMIZATION, 1998, 16 (01) :68-75
[35]   Buckling strength topology optimization of 2D periodic materials based on linearized bifurcation analysis [J].
Thomsen, Christian Rye ;
Wang, Fengwen ;
Sigmund, Ole .
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2018, 339 :115-136
[36]   A level set topology optimization method for the buckling of shell structures [J].
Townsend, Scott ;
Kim, H. Alicia .
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2019, 60 (05) :1783-1800
[37]   On projection methods, convergence and robust formulations in topology optimization [J].
Wang, Fengwen ;
Lazarov, Boyan Stefanov ;
Sigmund, Ole .
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2011, 43 (06) :767-784
[38]   Bi-directional evolutionary structural optimization with buckling constraints [J].
Xu, Tao ;
Lin, Xiaoshan ;
Xie, Yi Min .
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2023, 66 (04)
[39]   Manufacturing-oriented topological design of CFRC structures with variable fiber volume and orientation [J].
Yan, Xiaolei ;
Lai, Minchao ;
Huang, Dengfeng ;
Zhang, Yong ;
Huang, Xiaodong .
COMPOSITE STRUCTURES, 2023, 310
[40]   Topology optimization of functionally-graded lattice structures with buckling constraints [J].
Yi, Bing ;
Zhou, Yuqing ;
Yoon, Gil Ho ;
Saitou, Kazuhiro .
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2019, 354 :593-619