id |
caadria2024_37 |
authors |
Xu, Qianbin, Fialho Teixeira, Frederico and Shafiei, Maryam |
year |
2024 |
title |
Exploring Rule-Based Discrete Timber Design With Mortise-Tenon Joints |
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. 313–322 |
doi |
https://doi.org/10.52842/conf.caadria.2024.1.313
|
summary |
Digitisation in timber-frame architecture offers potentials to revitalise traditional building methods within a contemporary setting. This paper explores an automated design workflow for creating digital timber frame systems, incorporating mortise-tenon joints (MTJs) and principles from traditional Chinese architecture, including Dougong brackets and rural housing. The novelty resides in developing a comprehensive digital library of MTJs in the form of discrete timber blocks, which in return, facilitates the design of adaptable and reconfigurable timber housing. Addressing the classification and algorithmic reproduction of MTJs, the study introduces a methodology for rule-based generative design, which includes the identification of principles governing joint interlocking, automated joint generation, and block combination and aggregation. The approach includes analysing traditional timber jointing types, parameters, and constraints, followed by coding a MTJ library and combinatorial patterns for assembling discrete timber blocks. The resultant discrete timber forms, informed by Dougong's compositional rules and patterns observed in rural timber housing, present the possibility of extendibility and reconfiguration. This research culminates in a digital toolset that enables the fusion of time-honoured MTJs with contemporary computational design, aiming to extend the capabilities of traditional timber frames. |
keywords |
mortise-tenon joints, discrete timber blocks, digital timber frame, combinatorial design, rule-based generative design |
series |
CAADRIA |
email |
|
full text |
file.pdf (22,249,035 bytes) |
references |
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last changed |
2024/11/17 22:05 |
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