id 
cf2019_068 
authors 
Md Rian, Iasef 
year 
2019 
title 
IFSBased Computational Morphogenesis of a Hierarchical Trussed Beam 
source 
JiHyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 9788989453055] Daejeon, Korea, pp. 552564 
summary 
This paper applies IFS (Iterated Function System) as a rulebased computational modeling process for modeling a hierarchical truss beam inspired by the concept of fractal geometry. IFS is a type of recursive algorithm, which repeatedly uses the outcome as a input for an affine transformation function in generating a fractal shape, i.e., a complex shape which contains the selfsimilar repetitions of the overall shape in its parts. Hierarchical trusses also follow a similar geometric configuration. IFSbased computational modeling, hence, allows us to parametrically morph a parent model, thus repeat the same morphing to all its selfsimilar parts automatically. This IFSbased morphogenesis opens a possibility to find an optimal configuration of a hierarchical truss structurally. In this parametric modeling process, the iteration number is a unique geometric parameter. This paper uses two geometric variables (iteration number and angle) to find the most efficient design of a hierarchical truss beam through an optimization process. 
keywords 
hierarchical truss, fractal geometry, IFS, computational design 
series 
CAAD Futures 
email 
iasef.rian@xjtlu.edu.cn 
full text 
file.pdf (1,332,646 bytes) 
references 
Contenttype: text/plain

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last changed 
2019/07/29 12:18 
