| id |
caadria2018_181 |
| authors |
Chun, Junho, Lee, Juhun and Park, Daekwon |
| year |
2018 |
| title |
TOPO-JOINT - Topology Optimization Framework for 3D-Printed Building Joints |
| doi |
https://doi.org/10.52842/conf.caadria.2018.1.205
|
| source |
T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 1, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 205-214 |
| summary |
Joints and connectors are often the most complex element in building assemblies and systems. To ensure the performance of the assemblies and systems, it is critical to optimize the geometry and configurations of the joints based on key functional requirements (e.g., stiffness and thermal exchange). The proposed research focuses on developing a multi-objective topology optimization framework that can be utilized to design highly customized joints and connections for building applications. The optimized joints that often resemble tree structures or bones are fabricated using additive manufacturing techniques. This framework is built upon the integration of high-fidelity topology optimization algorithms, additive manufacturing, computer simulations and parametric design. Case studies and numerical applications are presented to demonstrate the validity and effectiveness of the proposed optimization and additive manufacturing framework. Optimal joint designs from a variety of architectural and structural design considerations, such as stiffness, thermal exchange, and vibration are discussed to provide an insightful interpretation of these interrelationships and their impact on joint performance. |
| keywords |
Topology optimization; parametric design; 3d printing |
| series |
CAADRIA |
| email |
|
| full text |
 file.pdf (24,554,666 bytes) |
| references |
Content-type: text/plain
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| last changed |
2022/06/07 07:56 |
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