Achieving binary topology optimization solutions via automatic projection parameter increase
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arXiv
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866911848684584960 |
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| author | Dunning, Peter Donald |
| author_facet | Dunning, Peter Donald |
| contents | A method is created to automatically increase the threshold projection parameter in three-field density-based topology optimization to achieve a near binary design. The parameter increase each iteration is based on an exponential growth function, where the growth rate is dynamically changed during optimization by linking it to the change in objective function. This results in a method that does not need to be tuned for specific problems, or optimizers, and the same set of hyper-parameters can be used for a wide range of problems. The effectiveness of the method is demonstrated on several 2D benchmark problems, including linear buckling and geometrically nonlinear problems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_14111 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Achieving binary topology optimization solutions via automatic projection parameter increase Dunning, Peter Donald Optimization and Control Computational Engineering, Finance, and Science A method is created to automatically increase the threshold projection parameter in three-field density-based topology optimization to achieve a near binary design. The parameter increase each iteration is based on an exponential growth function, where the growth rate is dynamically changed during optimization by linking it to the change in objective function. This results in a method that does not need to be tuned for specific problems, or optimizers, and the same set of hyper-parameters can be used for a wide range of problems. The effectiveness of the method is demonstrated on several 2D benchmark problems, including linear buckling and geometrically nonlinear problems. |
| title | Achieving binary topology optimization solutions via automatic projection parameter increase |
| topic | Optimization and Control Computational Engineering, Finance, and Science |
| url | https://arxiv.org/abs/2404.14111 |