| id |
sigradi2018_1879 |
| authors |
Danesh Zand, Foroozan; Baghi, Ali; Kalantari, Saleh |
| year |
2018 |
| title |
Digitally Fabricating Expandable Steel Structures Using Kirigami Patterns |
| source |
SIGraDi 2018 [Proceedings of the 22nd Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Brazil, São Carlos 7 - 9 November 2018, pp. 724-731 |
| summary |
This article presents a computational approach to generating architectural forms for large spanning structures based on a “paper-cutting” technique. In this traditional artform, a flat sheet is cut and scored in such a way that a small application of force prompts it to expand into a three-dimensional structure. To make these types of expandable structures feasible at an architectural scale, four challenges had to be met during the research. The first was to map the kinetic properties of a paper-cut model, investigating formative parameters such as the width and frequency of cuts to determine how they affect the resulting structure. The second challenge was to computationally simulate the paper-cut structure in an accurate fashion. We accomplished this task using finite element analysis in the Ansys software platform. The third challenge was to create a prediction model that could precisely forecast the characteristics of a paper-cutting pattern. We made significant strides in this demanding task by using a data-mining approach and regression analysis through 400 simulations of various cutting patterns. The final challenge was to verify the efficiency and accuracy of our prediction model, which we accomplished through a series of physical prototypes. Our resulting computational paper-cutting system can be used to estimate optimal cutting patterns and to predict the resulting structural characteristics, thereby providing greater rigor to what has previously been an ad-hoc and experimental design approach. |
| keywords |
Transformable Paper-cut; Design method; Prediction Model; Regression analysis; Physical prototype |
| series |
SIGRADI |
| email |
f.daneshzand@gmail.com |
| full text |
 file.pdf (945,959 bytes) |
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Content-type: text/plain
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| last changed |
2021/03/28 19:58 |
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