| id |
cf2019_068 |
| authors |
Md Rian, Iasef |
| year |
2019 |
| title |
IFS-Based Computational Morphogenesis of a Hierarchical Trussed Beam |
| source |
Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, pp. 552-564 |
| summary |
This paper applies IFS (Iterated Function System) as a rule-based 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 self-similar repetitions of the overall shape in its parts. Hierarchical trusses also follow a similar geometric configuration. IFS-based computational modeling, hence, allows us to parametrically morph a parent model, thus repeat the same morphing to all its self-similar parts automatically. This IFS-based 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 |
|
| full text |
 file.pdf (1,332,646 bytes) |
| references |
Content-type: text/plain
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| last changed |
2019/07/29 14:18 |
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