This doctoral research investigates the arising opportunities for evolving a novel tectonic architecture with computationally enhanced materials as a focus. Following the computational focus in architecture of the last decade there is a new era of material awareness powered by the fast progressions of digital design tools (e.g. parametric design, form-finding algorithms, emerging systems). Those has expanded designers’ capacity of previewing, analyzing, and designing complex construction systems. Meanwhile, advanced digital fabrication methods (e.g. CNC machinery, additive manufacturing techniques and robotics) shifted production paradigms towards a radical customization of architectural systems. This dissertation contributes to the contemporary discussion by developing a methodology for material-driven design and construction, based on a combined use of material simulation and digital fabrication. Highly specific computational workflows are programmed to embed material properties and behaviours as generative parameters in the design of architecture. Custom algorithms are developed to improve designer's control over advanced manufacturing tools and program complex production routines. Leveraging innovative design techniques, a set of computational workflows are created, tested and applied into a range of proto-tectonic systems to challenge the current understanding of design and materialization into a unique, integrated process.

This doctoral research investigates the arising opportunities for evolving a novel tectonic architecture with computationally enhanced materials as a focus. Following the computational focus in architecture of the last decade there is a new era of material awareness powered by the fast progressions of digital design tools (e.g. parametric design, form-finding algorithms, emerging systems). Those has expanded designers’ capacity of previewing, analyzing, and designing complex construction systems. Meanwhile, advanced digital fabrication methods (e.g. CNC machinery, additive manufacturing techniques and robotics) shifted production paradigms towards a radical customization of architectural systems. This dissertation contributes to the contemporary discussion by developing a methodology for material-driven design and construction, based on a combined use of material simulation and digital fabrication. Highly specific computational workflows are programmed to embed material properties and behaviours as generative parameters in the design of architecture. Custom algorithms are developed to improve designer's control over advanced manufacturing tools and program complex production routines. Leveraging innovative design techniques, a set of computational workflows are created, tested and applied into a range of proto-tectonic systems to challenge the current understanding of design and materialization into a unique, integrated process.

Embedding material agency in architecture. Integrated computational workflows for design and fabrication

NABONI, ROBERTO STEFANO

Abstract

This doctoral research investigates the arising opportunities for evolving a novel tectonic architecture with computationally enhanced materials as a focus. Following the computational focus in architecture of the last decade there is a new era of material awareness powered by the fast progressions of digital design tools (e.g. parametric design, form-finding algorithms, emerging systems). Those has expanded designers’ capacity of previewing, analyzing, and designing complex construction systems. Meanwhile, advanced digital fabrication methods (e.g. CNC machinery, additive manufacturing techniques and robotics) shifted production paradigms towards a radical customization of architectural systems. This dissertation contributes to the contemporary discussion by developing a methodology for material-driven design and construction, based on a combined use of material simulation and digital fabrication. Highly specific computational workflows are programmed to embed material properties and behaviours as generative parameters in the design of architecture. Custom algorithms are developed to improve designer's control over advanced manufacturing tools and program complex production routines. Leveraging innovative design techniques, a set of computational workflows are created, tested and applied into a range of proto-tectonic systems to challenge the current understanding of design and materialization into a unique, integrated process.
DE ANGELIS, ENRICO
DE ANGELIS, ENRICO
26-ott-2017
This doctoral research investigates the arising opportunities for evolving a novel tectonic architecture with computationally enhanced materials as a focus. Following the computational focus in architecture of the last decade there is a new era of material awareness powered by the fast progressions of digital design tools (e.g. parametric design, form-finding algorithms, emerging systems). Those has expanded designers’ capacity of previewing, analyzing, and designing complex construction systems. Meanwhile, advanced digital fabrication methods (e.g. CNC machinery, additive manufacturing techniques and robotics) shifted production paradigms towards a radical customization of architectural systems. This dissertation contributes to the contemporary discussion by developing a methodology for material-driven design and construction, based on a combined use of material simulation and digital fabrication. Highly specific computational workflows are programmed to embed material properties and behaviours as generative parameters in the design of architecture. Custom algorithms are developed to improve designer's control over advanced manufacturing tools and program complex production routines. Leveraging innovative design techniques, a set of computational workflows are created, tested and applied into a range of proto-tectonic systems to challenge the current understanding of design and materialization into a unique, integrated process.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10589/136200