Metrics for measuring complexity of geometric models

Globa, A.A., Donn, M. and Ulchitskiy, O.A. 2016, Metrics for measuring complexity of geometric models, Scientific visualization, vol. 8, no. 5, pp. 74-82.

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Title Metrics for measuring complexity of geometric models
Author(s) Globa, A.A.ORCID iD for Globa, A.A. orcid.org/0000-0002-4749-5675
Donn, M.
Ulchitskiy, O.A.
Journal name Scientific visualization
Volume number 8
Issue number 5
Start page 74
End page 82
Total pages 9
Publisher National Research Nuclear University
Place of publication Moscow, Russia
Publication date 2016
ISSN 2079-3537
Keyword(s) model complexity
architectural model
parametric modeling
shape grammars
computer-aided design
geometric model analysis
Summary This study considers the practical methodology for measuring the level of complexity of geometric patterns in architecture. Criteria for forming the metric complexity of the models include geometric, combinatorial and spatial categories. The study also used methodology 'Grammar Form' (Shape Grammar), based on figures arithmetic and logical analysis of the forming mechanisms. This article explains the theory and methodology measurement of geometric complexity of models and illustrates the practical application of this analysis on the fifty-parametrically generated 3D models. The study has been developed as a part of wider research, which focuses on parametric modelling and ways to support the use of parametric design: by decreasing the number of programming difficulties, and increasing the explored solution space, programming efficiency, the degree of the algorithms' sophistication and the speed of algorithmic modelling (level of model complexity). Research has included a series of parametric modelling workshops. In order to provide experimental data for this research, participants developed and submitted practical assignments and filled in online questionnaires. This paper explains the 'step by step' methodology for measuring the complexity of geometric models and illustrates practical applications of this analysis for the modelling outcomes from the first workshop.
Language eng
Field of Research 120101 Architectural Design
Socio Economic Objective 970112 Expanding Knowledge in Built Environment and Design
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2016, National Research Nuclear University
Persistent URL http://hdl.handle.net/10536/DRO/DU:30090731

Document type: Journal Article
Collections: School of Architecture and Built Environment
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