Re/Learning the Wheel: Methods to Utilize Neural Networks as Design Tools for Doubly Curved Metal Surfaces

Gabriella Rossi, Paul Nicholas

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningpeer review

Resumé

This paper introduces concepts and computational methodologies for utilizing neural networks as design tools for architecture and demonstrates their application in the making of doubly curved metal surfaces using a contemporary version of the English Wheel. The research adopts an interdisciplinary approach to develop a novel method to model complex geometric features using computational models that originate from the field of computer vision.
The paper contextualizes the approach with respect to the current state of the art of the usage of artificial neural networks both in architecture and beyond. It illustrates the cyber physical system that is at the core of this research, with a focus on the employed neural network–based computational method. Finally, the paper discusses the repercussions of these design tools on the contemporary design paradigm.
SprogEngelsk
TitelACADIA // 2018: Recalibration. On imprecisionand infidelity : Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture
Antal sider9
Datookt. 2019
Sider146-155
ISBN (Elektronisk)978-0-692-17729-7
StatusUdgivet - okt. 2019
BegivenhedACADIA 2018: Recalibration. On imprecision and infidelity - Universidad Iberoamericana, Mexico City, Mexico
Varighed: 18 okt. 201820 okt. 2018
http://2018.acadia.org/schedule.html

Konference

KonferenceACADIA 2018
LokationUniversidad Iberoamericana
LandMexico
ByMexico City
Periode18/10/201820/10/2018
Internetadresse

Emneord

    Kunstnerisk udviklingsvirksomhed (KUV)

    • Nej

    Citer dette

    Rossi, G., & Nicholas, P. (2019). Re/Learning the Wheel: Methods to Utilize Neural Networks as Design Tools for Doubly Curved Metal Surfaces. I ACADIA // 2018: Recalibration. On imprecisionand infidelity: Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (s. 146-155)
    Rossi, Gabriella ; Nicholas, Paul. / Re/Learning the Wheel : Methods to Utilize Neural Networks as Design Tools for Doubly Curved Metal Surfaces. ACADIA // 2018: Recalibration. On imprecisionand infidelity: Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture. 2019. s. 146-155
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    abstract = "This paper introduces concepts and computational methodologies for utilizing neural networks as design tools for architecture and demonstrates their application in the making of doubly curved metal surfaces using a contemporary version of the English Wheel. The research adopts an interdisciplinary approach to develop a novel method to model complex geometric features using computational models that originate from the field of computer vision.The paper contextualizes the approach with respect to the current state of the art of the usage of artificial neural networks both in architecture and beyond. It illustrates the cyber physical system that is at the core of this research, with a focus on the employed neural network–based computational method. Finally, the paper discusses the repercussions of these design tools on the contemporary design paradigm.",
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    Rossi, G & Nicholas, P 2019, Re/Learning the Wheel: Methods to Utilize Neural Networks as Design Tools for Doubly Curved Metal Surfaces. i ACADIA // 2018: Recalibration. On imprecisionand infidelity: Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture. s. 146-155, Mexico City, Mexico, 18/10/2018.

    Re/Learning the Wheel : Methods to Utilize Neural Networks as Design Tools for Doubly Curved Metal Surfaces. / Rossi, Gabriella; Nicholas, Paul.

    ACADIA // 2018: Recalibration. On imprecisionand infidelity: Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture. 2019. s. 146-155.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningpeer review

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    AB - This paper introduces concepts and computational methodologies for utilizing neural networks as design tools for architecture and demonstrates their application in the making of doubly curved metal surfaces using a contemporary version of the English Wheel. The research adopts an interdisciplinary approach to develop a novel method to model complex geometric features using computational models that originate from the field of computer vision.The paper contextualizes the approach with respect to the current state of the art of the usage of artificial neural networks both in architecture and beyond. It illustrates the cyber physical system that is at the core of this research, with a focus on the employed neural network–based computational method. Finally, the paper discusses the repercussions of these design tools on the contemporary design paradigm.

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    Rossi G, Nicholas P. Re/Learning the Wheel: Methods to Utilize Neural Networks as Design Tools for Doubly Curved Metal Surfaces. I ACADIA // 2018: Recalibration. On imprecisionand infidelity: Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture. 2019. s. 146-155