| id |
ecaade2024_391 |
| authors |
Pasold, Anke; Foged, Isak Worre |
| year |
2024 |
| title |
Reed Fiber Thermal Design: A computational method and model for thermal design based on the organisation of fibrous material directionality |
| doi |
https://doi.org/10.52842/conf.ecaade.2024.1.343
|
| source |
Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 1, pp. 343–350 |
| summary |
This study develops and subsequently examines a computational design method based on bespoke fibre-based material explorations, whose thermal properties are integrated into the investigation model for explorative testing and making prototypes for evaluation and discussion. The thermal conductivity of the fibers’ polar orientation, in gradients between transverse and parallel, is measured and analysed for heat transmission properties (uvalues) within each physical material sample to be utilised to inform the model. The computational studies are developed through a bespoke computational design model composed around the analysis and generation of variations of a composite, modular wall structure. These studies are based on subdivision algorithms as an underlying approach for segmentation, modularity and dimensional scalability within the model. The dataset of the material investigation is translated into resulting digital representations, allowing synthetic (computed) samples to be generated within an outer wall application context, enabling the composition of both insulating and ventilating properties within the same wall segment and from the same base material. |
| keywords |
Straw, Fiber, Reed, Thermal, Design, Method, Generative Modeling |
| series |
eCAADe |
| email |
|
| full text |
 file.pdf (3,241,594 bytes) |
| references |
Content-type: text/plain
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| last changed |
2024/11/17 22:05 |
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