Abstraction versus Case Based: A comparative study of two approaches to support parametric design

Globa, A, Donn, M and Moloney, C 2015, 'Abstraction versus Case Based: A comparative study of two approaches to support parametric design', International Journal of Architectural Computing, vol. 13, no. 34, pp. 313-333.


Document type: Journal Article
Collection: Journal Articles

Title Abstraction versus Case Based: A comparative study of two approaches to support parametric design
Author(s) Globa, A
Donn, M
Moloney, C
Year 2015
Journal name International Journal of Architectural Computing
Volume number 13
Issue number 34
Start page 313
End page 333
Total pages 21
Publisher Sage
Abstract We describe an experimental study testing the reuse of design knowledge as a method to support learning and use of parametric design in architecture. The use of parametric design systems and programming environments offer architects new opportunities, providing a powerful means to create geometries and allowing dynamic design exploration, but it can also impose substantial challenges. The proposition tested in this study is that the reuse of design knowledge can improve architects' ability to use parametric modelling, and reduce the barriers to using programming in a design context. The paper explores and compares two approaches as a means of accessing and reusing existing design solutions: the reuse of abstract parametric 'Design Patterns' [1]; and secondly the reuse of parametric solutions from specific design cases (Case-Based Design). This paper outlines the principles and methods of 'abstract' versus 'case-based' approaches to reuse parametric solutions; and focuses on the results of their practical implementation through the statistical analysis of a comparative study involving 126 designers. In conclusion, it is proposed the outcomes from this study can be applied to inform the methodology for introducing parametric design in architecture and design disciplines.
Subject Architectural Heritage and Conservation
Keyword(s) Case based design
Comparative studies
Parametric design
Parametric design systems
Parametric modelling
Parametric solutions
Programming environment
Support learning
DOI - identifier 10.1260/1478-0771.13.3-4.313
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ISSN 1478-0771
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