Multiscale Topology Optimization Applying FFT‐Based Homogenization
ABSTRACT Advances in 3D‐printing technology have enabled the fabrication of periodic microstructures that exhibit characteristic mechanical performances. In response, multiscale topology optimization, which finds the optimal design of microstructure for the macrostructure geometry and performance requirements, has become a hot topic in the field of structural optimization. While the basic optimization framework based on the homogenization theory spanning macro and microscales is available, it is computationally expensive and not easily applicable in practical scenarios such as high‐resolution design for precision modeling and reliable design considering non‐linearities. To address this issue, we focus on a homogenization analysis using a fast Fourier transform as an alternative approach to conventional finite element analysis and develop an optimization method with fast computing speed and low memory requirements. In this paper, we define a simple stiffness maximization problem with linear elastic materials and conduct two and three‐dimensional optimization analyses to evaluate the validity and performance of the proposed method. We discuss the advantages of computational cost, the influence of the filtering process, and the appropriate setting of material contrast.
Authors
- Junji Kato (ORCID: https://orcid.org/0000-0002-0903-9513)
- Hiroki Ogura (ORCID: https://orcid.org/0000-0003-0262-9913)
- Hiroya Hoshiba (ORCID: https://orcid.org/0000-0002-0619-442X)
- Koji Nishiguchi (ORCID: https://orcid.org/0000-0003-2264-2840)
- Masayoshi Matsui
Institutions
- Shimizu (Japan) (JP)
- Nagoya University (JP)
Publication Details
- Journal
- International Journal for Numerical Methods in Engineering
- Published
- 2025-02-20
- DOI
- https://doi.org/10.1002/nme.70009
- Citations
- 10
- Primary Topic
- Topology Optimization in Engineering
- Type
- article
- Field-Weighted Citation Impact
- 9.53
Funders
- Shimizu Corporation
- Japan Society for the Promotion of Science