| id |
ecaade2024_182 |
| authors |
Fiebig, Jan; Starke, Rolf; Vukorep, Ilija; Eisenloffel, Karen |
| year |
2024 |
| title |
Applied Artificial Ossification for Adaptive Structural Systems |
| source |
Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 1, pp. 75–84 |
| doi |
https://doi.org/10.52842/conf.ecaade.2024.1.075
|
| summary |
This study explores the "Artificial Ossification" algorithm's application in real-world structures, inspired by human bone formation. It uses agents mimicking bone-building and degrading cells to iteratively optimize structures for equilibrium through the Finite Element Method. The research proposes a 3D printing pen method for material addition or removal, mirroring natural bone adaptability and sustainability. Initial tests on 3D-printed models showed promising results, leading to more rigorous comparisons between conventional and algorithm-optimized structures. Findings confirm the algorithm's practicality for adaptive, optimized structural design, with potential applications in architecture, engineering, and beyond. The study also highlights the method's sustainability, repairability, and scalability, suggesting its relevance for future research in adaptive materials and design methods. |
| keywords |
Artificial Ossification, Adaptive Structural Systems, Bionics, Shape Optimisation, Bone Inspired Structure |
| series |
eCAADe |
| email |
|
| full text |
 file.pdf (1,021,911 bytes) |
| references |
Content-type: text/plain
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| last changed |
2024/11/17 22:05 |
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