Monday, May 6, 2013

Computational Design: BRIDGE+


BRIDGE+ is an application of digital computational tools to urban and architectural design.
The project has been originally conceived as a design proposal for the Europan 11 Competition and then developed as a Master Thesis at the AA EmTech (Emergent Technologies and Design Programme, Architectural Association School of Architecture, London, 2011) by Pierluigi D’Acunto, Norman Hack and Camila Rock de Luigi. BRIDGE+ answers the question of how an infrastructure can act as a seed for new urban development in the suggested sites of Skien and Porsgrunn, located in the Grenland District (Norway). In particular, the project proposes a series of inhabitable pedestrian footbridges to be placed along the river that flow through the Grenland District. In addition, the bridges are intended to be directly connected to the public transport network.

Within the framework of Evolutionary Compu­tation, a set of four genetic algo­rithms (EVO+00, EVO+01, EVO+02, EVO+03) has been developed as the main generative tool of BRIDGE+. The algorithms work in a hierarchical way. Starting from the urban scale and moving to the architectural scale and eventually to the material system, the output of each of them represents the input for the next one. The algorithms are based on customized code written in Python and they take advantage of the 3D digital design platform McNeel Rhinoceros and Grasshopper.

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