Generative Form-finding for Acceptable Formal and Informal Architectural Spaces
Abstract
The rise in new design approaches using Generative Form Finding is taking the world by storm. The possibility to use computing power to obtain the best performing design solutions to a design problem is the future guide to designing architecture. All architectural spaces have a certain degree of satisfaction associated with them. This can be a direct link to how socially acceptable they are for a user group. This paper combines social acceptance survey equations and fuzzy addition techniques to create a logic for testing social acceptance of different design solutions obtained through a generative form-finding approach. This will help the computer to evaluate the acceptance of a design proposal before execution and shall aid the human designer to quickly identify the best design solutions as per acceptability by the society, thereby reducing the time lag between the design optimization and the final design selection process during Generative form-finding.
How to cite this article: Mishra AS, Mishra BP, Rath B. Generative Formfinding for Acceptable Formal and Informal Architectural Spaces. J Adv Res Const Urban Arch 2021; 6(4): 10-16.
DOI: https://doi.org/10.24321/2456.9925.202110
References
Curl JS. A dictionary of architecture and landscape architecture. Oxford University Press, 2006.
Foster H. The anti-aesthetic. Seattle: Bay Press. 1983.
Frampton K. Towards a critical regionalism. Foster H. The Anti-Aesthetic. Seattle: Bay Press, 1983.
Gabriele Pasetti Monizza CB. Parametric and generative design techniques in mass-production. Automation in Construction 2018.
Hyesim Han JL. Thermal comfort control based on a simplified Predicted. Energy Procedia 2014; 61: 970-4.
Mashal AS. Understanding Users’ Acceptance of Smart Homes. Technology in Society 2019.
Safari SN. Analysis algorithm of architectural projects a method for architectural reverse engineering in design education. Middle-East Journal of Scientific Research 2013; 514-523.
Sofija Hotomski MG. GuideGen: An approach for keeping requirements and acceptance tests aligned via automatically generated guidance. Information and Software Technology 2019.
Yau YH, Chew BT. A review on predicted mean vote and adaptive thermal comfort models. Building Service Engineering 2012; 35: 23-35.
