| id |
ecaade2022_392 |
| authors |
Karimian-Aliabadi, Hamed, Adelzadeh, Amin and Robeller, Christopher |
| year |
2022 |
| title |
A Computational Workflow for Design-to-Assembly of Shingle Covering Systems for Multi-Curved Surface Structures |
| doi |
https://doi.org/10.52842/conf.ecaade.2022.1.659
|
| source |
Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 1, Ghent, 13-16 September 2022, pp. 659–666 |
| summary |
Shingle covering of multi-curved surfaces is usually a manual process with no precise plan for the arrangement and assembly of shingle elements. Such processes lack the computational capacity of algorithmic methods for modeling, analysis, and optimization of shingle systems within a seamless digital workflow. As a solution, this paper presents an algorithmic procedure for the design and assembly of shingle covering systems for multi-curved surface structures. The proposed algorithm evaluates the reference surface curvatures to generate an efficient layout of shingles of identical size. The proposed model generates the arrangement of shingles based on given input parameters including the shingle dimensions and overlapping domains. For a precise and quick on-site assembly the corresponding nailing strips are also automatically generated on which the shingles could be installed. The applications and limitations of the proposed algorithm are discussed through a detailed analysis of various case studies. |
| keywords |
Shingle Covering, Algorithmic Design, Concave Surface, Multi-Curvature Surface, Overlapping Domain, Curvature Dependent Spacing, Timber Strips |
| series |
eCAADe |
| email |
|
| full text |
 file.pdf (988,280 bytes) |
| references |
Content-type: text/plain
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 Engrained Performance: Performance-Driven Computational Design of a Robotically Assembled Shingle Facade System
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| last changed |
2024/04/22 07:10 |
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