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id caadria2018_216
authors Yuan, Philip F., Chen, Zhewen and Zhang, Liming
year 2018
title Form Finding for 3D Printed Pedestrian Bridges
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. 225-234
doi https://doi.org/10.52842/conf.caadria.2018.1.225
summary Due to the highly interrelation between architecture and engineering involved in the early design stage of 3D printing, form-finding is the critical step in the large-scale 3D printing projects. This paper focused on the research of form-finding applied in large-scale 3D printed structures, specifically, in the design of two pedestrian bridges. A three-step form finding approach was introduced in this paper. Multiple numerical methods were involved in the approach to find an optimal solution for both aesthetics and structural design for two 3D printed pedestrian bridges. The application of the three steps of form-finding, which take consideration of material properties, site limitations, applied loads etc., to the design of the large-scale 3D printed bridges were discussed in details in this paper. The approach of form-finding in an early designing stage disused in this paper helps to understand the combination of architecture and structure engineering.
keywords Form Finding; 3D Printing; Structural Performance; Material Performance; Topology Optimization
series CAADRIA
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