Parametric Modelling as a Method for Exploring and Comparatively Evaluating Architectural Design Alternatives
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Roman Petrovych Honcharyk
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This article aims to establish a methodological basis for aligning the parametric generation of alternatives with architectural evaluation criteria at the early stages of design. The study uses conceptual analysis, a comparison of scholarly publications, and theoretical synthesis. It distinguishes between dimensional variation, transformations of spatial relationships allowed by the model, and revision of the model structure. A sequence of problem formulation, parameterisation, model verification, alternative generation, and comparative evaluation is proposed. The study identifies conditions for combining quantitative indicators with qualitative analysis of functional and spatial organisation, composition, and context. The author’s contribution lies in relating types of design change to the conditions required for comparing alternatives and the procedures used to select them. The findings are theoretical and methodological; their practical effectiveness requires empirical validation.
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Authors
Roman Petrovych Honcharyk
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References:
Bunt, S., Berdanier, C. G. P., & Brown, N. C. (2025). Optimization in parametric design thinking: Are new models needed? In J. S. Gero (Ed.), Design computing and cognition’24: Volume 2 (pp. 37–51). Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-031-71922-6_3
Caetano, I., Santos, L., & Leitão, A. (2020). Computational design in architecture: Defining parametric, generative, and algorithmic design. Frontiers of Architectural Research, 9(2), 287–300. https://doi.org/10.1016/j.foar.2019.12.008
Davis, D. (2013). Modelled on software engineering: Flexible parametric models in the practice of architecture [Doctoral dissertation, RMIT University]. Retrieved from https://www.danieldavis.com/thesis/
Harding, J. E., & Shepherd, P. (2017). Meta-parametric design. Design Studies, 52, 73–95. https://doi.org/10.1016/j.destud.2016.09.005
Haymaker, J., Bernal, M., Marshall, M. T., Okhoya, V., Szilasi, A., Rezaee, R., Chen, C., Salveson, A., Brechtel, J., Deckinga, L., Hasan, H., Ewing, P., & Welle, B. (2018). Design space construction: A framework to support collaborative, parametric decision making. Journal of Information Technology in Construction, 23, 157–178. Retrieved from https://www.itcon.org/2018/8
Jabi, W. (2013). Parametric design for architecture. London, England: Laurence King Publishing.
Oxman, R. (2017). Thinking difference: Theories and models of parametric design thinking. Design Studies, 52, 4–39. https://doi.org/10.1016/j.destud.2017.06.001
Turrin, M., von Buelow, P., & Stouffs, R. (2011). Design explorations of performance driven geometry in architectural design using parametric modeling and genetic algorithms. Advanced Engineering Informatics, 25(4), 656–675. https://doi.org/10.1016/j.aei.2011.07.009
Woodbury, R. (2010). Elements of parametric design. London, England: Routledge.
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