Object-field. The multi-resolution study of topological optimization

Authors

  • Samuel Bernier-Lavigne Laval University

DOI:

https://doi.org/10.19229/2464-9309/7152020

Keywords:

object-field, multi-resolution, topological optimization, algorithmic design, digital fabrication

Abstract

Since the integration of digital tools into architectural design, we have observed a certain reassessment of the notion of ‘structure’, taking us far from known and usually studied schemes. Following the advancement in simulation and topological optimization, we will expose the key projects, study their level of performance, but also underline a common limit: their formal logic defined by this process. We believe that a solution to this limit lies in a change of scale in the design method, with multi-resolution systems, where each grain of matter can adapt to the structural information present at the macro scale. Thus, we propose a design research project exploring this game of scale through four object-fields, objects which are formally autonomous, but nevertheless express their internal structural field with microscopic translation of topological optimization.

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Author Biography

Samuel Bernier-Lavigne, Laval University

PhD, he is a Full Professor at Laval University’s School of Architecture in Québec (Canada), and Founder of the FabLab-ÉAUL. He holds a Doctorate in Architecture (theory, design and digital fabrication), in addition to being a recipient of the Henry Adams Medal of Honor (AIA), the RAIC Student Medal. He has notably worked for Studio Cmmnwlth, Gramazio & Kohler (ETH), and UNStudio.
E-mail: samuel.bernier-lavigne@arc.ulaval.ca

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Object-field #4, close-up on the mereological system (credit: S. Bernier-Lavigne, 2020). AGATHÓN 7 | 2020

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Published

21-06-2020

How to Cite

Bernier-Lavigne, S. (2020) “Object-field. The multi-resolution study of topological optimization”, AGATHÓN | International Journal of Architecture, Art and Design, 7(online), pp. 144–153. doi: 10.19229/2464-9309/7152020.

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Section

Architecture | Research & Experimentation