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Bio-Parametric Design

Authors: Gabriele Pontillo; Carla Langella; Valentina Perricone;

Bio-Parametric Design

Abstract

Il paper affronta il tema della convergenza tra design, matematica e biologia, con particolare attenzione agli approcci progettuali più innovativi come il design parametrico, capace di trasferire le caratteristiche delle strutture naturali al progetto di artefatti. Il contributo del candidato, che si basa sulle specifiche competenze in materia di progettazione parametrica acquisite nell’ambito del dottorato di ricerca, indaga glia spetti legati agli algoritmi generativi, e al loro impiego rispetto allo stato dell’arte e alla letteratura scientifica di riferimento.

Country
Italy
Keywords

The aim of this paper is to propose an overview on the applications of algorithms and mathematical models obtained from the interpretation of biologic structures, forms and patterns in the fields of design and architecture. Having taken a multidisciplinary approach to address this theme, biomechanical and biomimetic studies, and a designer with vast experience in the field of systems parametric and digital manufacturing tools. The following text is therefore the result of a critical synthesis between these different integrating visions which aim to offer multiple perspectives on the current and future state of development in parametric biomimetics, a professor of design with twenty years of experience in research and design experimentation on bio-inspired design and architecture, a biologist specializing in morphological, The aim of this paper is to propose an overview on the applications of algorithms and mathematical models obtained from the interpretation of biologic structures, forms and patterns in the fields of design and architecture. Having taken a multidisciplinary approach to address this theme, our team includes an architect, a professor of design with twenty years of experience in research and design experimentation on bio-inspired design and architecture, a biologist specializing in morphological, biomechanical and biomimetic studies, and a designer with vast experience in the field of systems parametric and digital manufacturing tools. The following text is therefore the result of a critical synthesis between these different integrating visions which aim to offer multiple perspectives on the current and future state of development in parametric biomimetics., The aim of this paper is to propose an overview on the applications of algorithms and mathematical models obtained from the interpretation of biologic structures; forms and patterns in the fields of design and architecture. Having taken a multidisciplinary approach to address this theme; our team includes an architect; a professor of design with twenty years of experience in research and design experimentation on bio-inspired design and architecture; a biologist specializing in morphological; biomechanical and biomimetic studies; and a designer with vast experience in the field of systems parametric and digital manufacturing tools. The following text is therefore the result of a critical synthesis between these different integrating visions which aim to offer multiple perspectives on the current and future state of development in parametric biomimetics., Design, mathematics, biology, our team includes an architect

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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