Automation in Construction, Год журнала: 2024, Номер 170, С. 105901 - 105901
Опубликована: Дек. 17, 2024
Язык: Английский
Automation in Construction, Год журнала: 2025, Номер 171, С. 105956 - 105956
Опубликована: Янв. 10, 2025
Язык: Английский
Процитировано
1
Applied Sciences, Год журнала: 2025, Номер 15(5), С. 2753 - 2753
Опубликована: Март 4, 2025
Topology optimization (TO) is a powerful generative design tool for innovative structural design, capable of optimizing material distribution to generate structures with superior performance. However, current topology algorithms mostly target single objective and are highly dependent on the problem definition parameters, causing two critical issues: limited human controllability solution diversity. These issues often lead burdensome iterations insufficient exploration. This paper proposes multi-solution TO framework address them. Human designers express their stylistic preferences through sketches which decomposed into stroke closed-shape elements flexibly guide each process. Sketch-based constraints integrated Fourier mapping-based length-scale control enhance controllability. Solution diversity achieved by perturbing mapping frequencies load conditions in neural implicit framework. Adaptive parallel scale adjustment incorporated reduce computational cost Using wheel spoke as case study, mechanical performance generated solutions well effectiveness analyzed both qualitatively quantitatively. The results reveal that sketch-based have distinct effects features different impacts diversity, thereby enabling fine-grained flexible better balance conflicting objectives.
Язык: Английский
Процитировано
0
Journal of Building Engineering, Год журнала: 2024, Номер 97, С. 110972 - 110972
Опубликована: Окт. 8, 2024
Язык: Английский
Процитировано
1
Automation in Construction, Год журнала: 2024, Номер 170, С. 105901 - 105901
Опубликована: Дек. 17, 2024
Язык: Английский
Процитировано
0