id 
caadria2018_181 
authors 
Chun, Junho, Lee, Juhun and Park, Daekwon 
year 
2018 
title 
TOPOJOINT  Topology Optimization Framework for 3DPrinted Building Joints 
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, 1719 May 2018, pp. 205214 
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 multiobjective 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 highfidelity 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 
dpark103@syr.edu 
full text 
file.pdf (24,554,666 bytes) 
references 
Contenttype: text/plain

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last changed 
2018/05/17 07:07 
