NDLI: 2016 Proceedings of the Symposium on Simulation for Architecture and Urban Design

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2016 Proceedings of the Symposium on Simulation for Architecture and Urban Design

Content Provider	Semantic Scholar
Author	Sileryte, Rusne Stefano, Danilo Di Yang, Ding Turrin, Michela
Copyright Year	2016
Abstract	Parametric modelling allows quick generation of a large number of design alternatives. Ultimately, it can be combined with optimization algorithms for obtaining optimal performance-driven design. However, setup of design space for optimization is a very complex task requiring designer’s a priori knowledge and experience. Therefore, this paper focuses on the process that happens before the optimization. It proposes to use multivariate analysis algorithms for exploring and understanding the relations between various design parameters, after sampling the design space. Additionally, portrayal of geometry is introduced as an extension of conventional visualization methods, which accounts for evaluation of ill-defined design criteria by using designer’s expertise. The proposed method is computationally efficient and integrated into an environment familiar to architects. It relies on multivariate analysis algorithms together with database querying capabilities and an interactive dashboard developed for geometry portrayal.
File Format	PDF HTM / HTML
Alternate Webpage(s)	https://pure.tudelft.nl/portal/files/7717387/SimAUD2016_.pdf
Alternate Webpage(s)	http://www.simaud.org/proceedings/download.php?f=SimAUD2016_Proceedings.pdf
Alternate Webpage(s)	https://repository.tudelft.nl/islandora/object/uuid:bf7c3074-dcb9-478f-b469-1aecd6c8c8c1/datastream/OBJ/download
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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