Stress-constrained Topology Optimization for Metamaterial Microstructure Design
Fuente:
arXiv
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| Auteurs principaux: | , , , |
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| Format: | Preprint |
| Publié: |
2026
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| _version_ | 1866912920312479744 |
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| author | Chen, Yanda Rodriguez, Sebastian Moya, Beatriz Chinesta, Francisco |
| author_facet | Chen, Yanda Rodriguez, Sebastian Moya, Beatriz Chinesta, Francisco |
| contents | Although stress-constrained topology optimization has been extensively studied in structural design, the development of optimization frameworks to enable the creation of metamaterials with optimal mechanical performance is still an open problem. This study incorporates local stress constraints into the topology optimization framework for metamaterial microstructure design, aiming to avoid the stress concentration in the optimized microstructure. For the efficient solution of multi-constraint topology optimization problems, the Augmented Lagrangian formulation is extended to address local minimization problems subjected to the combined action of local and global constraints. Additionally, as an extension of static load conditions, this study further investigates the design of metamaterial microstructures under cyclic loading. Finally, the effectiveness of the proposed approach is demonstrated through a series of two-dimensional and three-dimensional benchmark problems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2602_19662 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Stress-constrained Topology Optimization for Metamaterial Microstructure Design Chen, Yanda Rodriguez, Sebastian Moya, Beatriz Chinesta, Francisco Computational Engineering, Finance, and Science Although stress-constrained topology optimization has been extensively studied in structural design, the development of optimization frameworks to enable the creation of metamaterials with optimal mechanical performance is still an open problem. This study incorporates local stress constraints into the topology optimization framework for metamaterial microstructure design, aiming to avoid the stress concentration in the optimized microstructure. For the efficient solution of multi-constraint topology optimization problems, the Augmented Lagrangian formulation is extended to address local minimization problems subjected to the combined action of local and global constraints. Additionally, as an extension of static load conditions, this study further investigates the design of metamaterial microstructures under cyclic loading. Finally, the effectiveness of the proposed approach is demonstrated through a series of two-dimensional and three-dimensional benchmark problems. |
| title | Stress-constrained Topology Optimization for Metamaterial Microstructure Design |
| topic | Computational Engineering, Finance, and Science |
| url | https://arxiv.org/abs/2602.19662 |