id |
caadria2024_279 |
authors |
Harsono, Kevin, Shih, Shen-Guan, Aung, Ye Yint, Wagiri, Felicia and Cheng, Tsung-Wei |
year |
2024 |
title |
Rule-Based Generation of Interwoven Assemblies in Architectural Design: A Computational Approach Integrating Attribute Grammar |
source |
Nicole Gardner, Christiane M. Herr, Likai Wang, Hirano Toshiki, Sumbul Ahmad Khan (eds.), ACCELERATED DESIGN - Proceedings of the 29th CAADRIA Conference, Singapore, 20-26 April 2024, Volume 1, pp. 363–372 |
doi |
https://doi.org/10.52842/conf.caadria.2024.1.363
|
summary |
This paper explores the potential of procedural modelling in generating design and assembly sequences for interwoven panel systems. The primary objective is to establish a computational framework that enables architects and designers to conceptualize and construct interwoven assemblies through rule-based generation, employing attribute grammar. The research delves into how procedural modelling, can effectively generate design and assembly sequences for interwoven panels in architectural design. The methodology unfolds in two parts: firstly, the framework for generative design for individual interwoven panel; and secondly, the definition of production rules for the assemblies, accompanied by practical applications of attribute grammar. The results indicate that using attribute grammar is an effective way to handle rule-based generated assemblies, incorporating attributes as semantics to manage transformations and block placement. This approach is expected to aid architects and designers by providing a robust computational toolkit for the creation of rule-based generation and assembly of interwoven panels. This research is expected to contribute to enhancing the development of complex geometric designs within architectural practice. |
keywords |
Interwoven Structures, Procedural Modelling, Architecture Design, Computational-aided Design Tools, Attribute Grammar. |
series |
CAADRIA |
email |
d11113803@mail.ntust.edu.tw |
full text |
file.pdf (593,574 bytes) |
references |
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last changed |
2024/11/17 22:05 |
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