MetaPredictiveMatterby Evangelos Pantazis
24 Jul 2013 / 942 Views
‘Meta predictive matter’ is a project that addresses the transformation of architectural ‘form’ into an ‘image’ and vice versa. The main focus lies on the interplay between the perception of space, form generation and its material manifestations and how this can inform the design process across multiple scales. The study investigates how to bring the programmability and polymorphism of digital forms into the physical world, by revising analytical design tools and matching them with computational tools for data analysis. The aim is to promote a performance based design approach within the context of material aware fabrication.
Notions of time, speed, movement, flow, displacement, transit, noise and liquidity are just few of the terms that shape the contemporary architectural universe, reflecting more on activities, situations and needs, rather than geographic implications. Globalization, information and telecommunications, all suggest that topos no longer matters. Optical phenomena and radical shifts in the way we perceive space, as manifested through media and digital technologies, have a great impact on the images that constitute our everyday lives.
This work emphasizes on the poly-semantic nature of design, by perceiving the design process as an open field of possibilities, which can react on the multiple layers of visual images that people experience as they traverse through buildings, cities and landscapes. Key point of this investigation is the creation of an integrated design and fabrication process for the development of activity based and user informed spatial configurations. In order to achieve this, an abstraction of the perceived space is performed with the implementation of graphical maps specific information is filtered out and fed into a digital elevation model that is simultaneously updated by performance analysis and texture-specific maps.
“Meta predictive Matter” explores the ability to intuit and predict the intractable behaviors of complex design systems and their repercussions to design eventualities and their material manifestations. It particularly focused on: a) gaining insight in the intractable design relationships that cannot be modeled using conventional associative methods, b) addressing both the opportunities in concept generation as well as the challenges in the translation of design to construction, (c) investigating the combination of various ways of manufacturing for the development of custom fabrication processes. In a broader scope this study aims to promote a methodology of performance-informed form generation by means of computational geometry.
The algorithmic definitions of the design operator were developed in java language, while the experiments for the realization of the design outcomes were conducted using 3d printing technologies for the initial prototypes and gypsum and resin castings for the texturing tests of the scaled models. Currently a fabrication process combining thermoforming and robotic milling is being developed for the materialization of a wall module prototype in a 1:1 scale.
The project was conducted from September 2012 till March 2013 at the Chair for Computer Aided Architectural Design at ITA of ETH Zurich, under the supervision of Professor Ludger Hovestadt, Manuel Kretzer and Hua Hao, by the students Styliani Azariadi, Evangelos Pantazis and Daniel Rohlek. The project is still under development and partially funded by the Ikea Foundation of Switzerland and by the LG Hausys/ Hi-MACS company.
more info: http://metapredictivematter.com/wordpress/
tags: architecture, experiment, material info