The novel stones of venice

The marching cube algorithm as a strategy for managing mass-customisation

Iain Maxwell, David Pigram, Wes McGee

Research output: A Conference proceeding or a Chapter in BookConference contribution

Abstract

The Marching Cube (MC) algorithm is a simple procedural routine for the surface representation of three-dimensional scalar fields. While much has been written of the algorithm’s efficiencies and adaptive nature within the domain of computer graphics and imaging, little has been explored within the context of architectural geometry and fabrication. This paper posits a novel implementation of the MC algorithm coupled with robotic fabrication (RF) techniques, to realise an open-ended design method that approaches mass-customisation as the unique geometric distortion of a finite set of topologically consistent families of tectonic elements. The disciplinary consequences of this and similar methods that intimately couple algorithmic design techniques with robotic fabrication are discussed. These include the re-affirmation or expansion of the role of the architect as master builder that is enabled by challenging Leon battista Alberti’s 15th Century division between design concept and building. The method and its disciplinary potentials are illustrated through the description of an installation built by the authors for the Australian Pavilion at the Venice biennale. Clouds of Venice serves as a case study for a new integrated mode of production, one that increases the quality and number of feedback relations between design, matter and making.

Original languageEnglish
Title of host publicationACADIA 2013
Subtitle of host publicationAdaptive Architecture
EditorsPhilip Beesley, Michael Stacey, Omar Khan
Place of PublicationCambridge, UK
PublisherRiverside Architectural Press
Pages311-318
Number of pages8
ISBN (Print)9781926724225
Publication statusPublished - 2013
Externally publishedYes
Event33rd Annual Conference of the Association for Computer Aided Design in Architecture: Adaptive Architecture, ACADIA 2013 - Cambridge, Canada
Duration: 21 Oct 201327 Oct 2013

Conference

Conference33rd Annual Conference of the Association for Computer Aided Design in Architecture: Adaptive Architecture, ACADIA 2013
CountryCanada
CityCambridge
Period21/10/1327/10/13

Fingerprint

Fabrication
Robotics
Tectonics
Computer graphics
Feedback
Imaging techniques
Geometry

Cite this

Maxwell, I., Pigram, D., & McGee, W. (2013). The novel stones of venice: The marching cube algorithm as a strategy for managing mass-customisation. In P. Beesley, M. Stacey, & O. Khan (Eds.), ACADIA 2013: Adaptive Architecture (pp. 311-318). Cambridge, UK: Riverside Architectural Press.
Maxwell, Iain ; Pigram, David ; McGee, Wes. / The novel stones of venice : The marching cube algorithm as a strategy for managing mass-customisation. ACADIA 2013: Adaptive Architecture. editor / Philip Beesley ; Michael Stacey ; Omar Khan. Cambridge, UK : Riverside Architectural Press, 2013. pp. 311-318
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Maxwell, I, Pigram, D & McGee, W 2013, The novel stones of venice: The marching cube algorithm as a strategy for managing mass-customisation. in P Beesley, M Stacey & O Khan (eds), ACADIA 2013: Adaptive Architecture. Riverside Architectural Press, Cambridge, UK, pp. 311-318, 33rd Annual Conference of the Association for Computer Aided Design in Architecture: Adaptive Architecture, ACADIA 2013, Cambridge, Canada, 21/10/13.

The novel stones of venice : The marching cube algorithm as a strategy for managing mass-customisation. / Maxwell, Iain; Pigram, David; McGee, Wes.

ACADIA 2013: Adaptive Architecture. ed. / Philip Beesley; Michael Stacey; Omar Khan. Cambridge, UK : Riverside Architectural Press, 2013. p. 311-318.

Research output: A Conference proceeding or a Chapter in BookConference contribution

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Maxwell I, Pigram D, McGee W. The novel stones of venice: The marching cube algorithm as a strategy for managing mass-customisation. In Beesley P, Stacey M, Khan O, editors, ACADIA 2013: Adaptive Architecture. Cambridge, UK: Riverside Architectural Press. 2013. p. 311-318