Generative Redesign
with Rebecca Napolitano

Daniele Melo Santos Paulino
Sierra Hogan
Cooper Knapp
Holly Zimmerman
Jennifer Carvajal Moreno
Ella Hill
Annually in the US, 1 billion square feet of existing buildings are demolished and replaced with new construction.  As an alternative to this linear cycle of waste, the aim of this research is to develop a regenerative workflow, combining genetic algorithms (GAs) and shape grammars (SG) to make an argument for how diagnostics of existing infrastructure and design generation can aid in promoting the sustainable reuse of structures. This will reduce waste in the built environment, elevate the generative redesign of infrastructure, and promote circular economic thinking. Our hypothesis is that the challenges of existing infrastructure are uniquely situated for an interdisciplinary approach in design computing that includes generative assessment, structural optimization, and design automation to develop a repeatable workflow for adaptive reuse.  


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