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Proceedings of CAD'16, 2016, 65-69
The STG Pattern: Application of a “Semantic-Topological-Geometric” Information Conversion Pattern to Knowledge-Based Algorithmic Modeling for Architectural Design
Abstract. Generative modeling tools like Grasshopper have become a popular means of composing algorithms for generating complex building forms, optimizing multiple design objectives, and structural and sustainability control at the conceptual design stage. The visual programming interfaces of Grasshopper are easier to learn and understand than textual programming tools. With the help of immediate feedback of visualized 3D models in Rhino, generative modeling tools allow architects to freely explore creative ideas expressing geometric intentions. Except in the case of constructability issues involving complex geometric forms, however, one of the major issues affecting application of generative modeling in architectural design is how to associate generative algorithms with known design criteria in order to evaluate whether the generated forms are acceptable or not. How to compose algorithms in order to meet the requirements of general design criteria, and how to communicate those criteria with other disciplines by means of generative algorithms still faces many technical challenges.
Keywords. Parametric Modeling, Generative Algorithm, Design Criteria, Design Pattern, Semantic Ontology