Shape grammar libraries of European classical architectural elements for historic BIM

Murphy, Maurice, Meegan, Eimear, Keenaghan, Garrett, Chenaux, Alain, Corns, Anthony, Fai, Stephen, Chow, Lara, Zheng, Yu, Dore, Conor, Scandurra, Simona, Tierney, Andrew, Diara, Filippo, Rinaudo, Fulvio and Prizeman, Oriel ORCID: https://orcid.org/0000-0003-4835-9824 2021. Shape grammar libraries of European classical architectural elements for historic BIM. Presented at: 28th CIPA Symposium “Great Learning & Digital Emotion”, Beijing, China, 28 Aug - 1 Sept 2021. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. , vol.XLVI-M (1-2021) pp. 479-486. 10.5194/isprs-archives-XLVI-M-1-2021-479-2021

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Abstract

This paper proposes a design for libraries of European Classical architectural elements based on shape grammars. This design is based on a workflow which develops library objects from 3D CAD primitives using architectural rules to construct parametric representations of architectural elements. In the case of Classical architecture, the design and detail for the parametric objects are based on manuscripts rangingfromVitruviustoPalladiotothearchitecturalpatternbooksoftheeighteenthcentury. The generation of 3D objects for virtual reconstruction necessitates the application of computer algorithms and rules introduced by the user to generate objects, buildings and spaces from a grammar and vocabulary of shapes. Both the use of graphicly constructed and coded parametric libraries in formal and open-source platforms will be considered here.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Architecture
Subjects:	C Auxiliary Sciences of History > C Auxiliary sciences of history (General) N Fine Arts > NA Architecture Q Science > QA Mathematics > QA76 Computer software T Technology > TH Building construction
Uncontrolled Keywords:	HBIM, HGIS, Digital Architectural Heritage, CAD, Shape Grammars
Date of First Compliant Deposit:	10 September 2021
Last Modified:	10 Nov 2022 09:41
URI:	https://orca.cardiff.ac.uk/id/eprint/144032

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