Topology optimization of functionally-graded lattice structures with buckling constraints
- Authors
- Yi, Bing; Zhou, Yuqing; Yoon, Gil Ho; Saitou, Kazuhiro
- Issue Date
- Sep-2019
- Publisher
- ELSEVIER SCIENCE SA
- Keywords
- Variable infill; Lattice structure; Topology optimization; Linear buckling
- Citation
- COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, v.354, pp.593 - 619
- Indexed
- SCIE
SCOPUS
- Journal Title
- COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
- Volume
- 354
- Start Page
- 593
- End Page
- 619
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/12552
- DOI
- 10.1016/j.cma.2019.05.055
- ISSN
- 0045-7825
- Abstract
- Lattice structures have been widely studied due to their advantage of low stiffness-to-weight ratio or sometimes auxetic properties. This paper presents a topology optimization method for structures with functionally-graded infill lattices with buckling constraints, which minimizes compliance while ensuring a prescribed level of structural stability against buckling failures. To realize topologically-optimized structures filled with functionally-graded lattices, Helmholtz PDE-filter with a variable radius is applied on the density field in Solid Isotropic Material with Penalization (SIMP) method. Buckling load factors based on the linear buckling analysis is employed as buckling constraints. Numerical examples show that proposed method can generate stiff structures comparable to the ones by the SIMP, with functionally-graded infill lattices that improve the structural stability by avoiding long, slender features under compression. (C) 2019 Elsevier B.V. All rights reserved.
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