| id |
caadria2016_435 |
| authors |
Lin, Chieh-Jen |
| year |
2016 |
| title |
The STG Pattern: Application of a “Semantic-Topological-Geometric” Information Conversion Pattern to Knowledge Modeling in Architectural Conceptual Design |
| source |
Living Systems and Micro-Utopias: Towards Continuous Designing, Proceedings of the 21st International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2016) / Melbourne 30 March–2 April 2016, pp. 435-444 |
| doi |
https://doi.org/10.52842/conf.caadria.2016.435
|
| summary |
Generative modelling tools have become a popular means of composing algorithms to generate complex building forms at the conceptual design stage. However, composing algorithms in order to meet the requirements of general design criteria, and communicating those criteria with other disciplines by means of generative algorithms still faces technical challenges. This paper proposes the use of a “Se- mantic-Topological-Geometric (STG)” pattern to guide architects in composing algorithms for representing, modelling, and validating de- sign knowledge and criteria. The STG pattern aims to help architects for converting semantic information concerning the situations of a project into design criteria, which are usually composed of topological relations among design elements, in order to explore the geometric properties of building components by means of generated 3D models. |
| keywords |
Generative modelling; design criteria; design pattern; semantic ontology; BIM |
| series |
CAADRIA |
| email |
|
| full text |
 file.pdf (792,279 bytes) |
| references |
Content-type: text/plain
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| last changed |
2022/06/07 07:59 |
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