Generative Redesign describes an overarching research effort aimed at developing a preliminary workflow, combining generative adversarial networks (GANs), genetic algorithms (GAs), and shape grammars (SG) to understand how diagnostics of existing infrastructure and design automation can aid in promoting the sustainable reuse of structures. A key question of the research is how generative assessment and design methodologies can complement each other to progress best practices in adaptive reuse.
The goal is to develop the circular potential of design and construction in the architecture, engineering, and construction (AEC) industry to situate buildings as significant resources for rehabilitation and transformation, as opposed to the linear habit of construction and demolition that is prevalent today.
The work presented here focuses on how shape grammars can be applied to this challenge in order to address the spatial reading and reasoning of an existing building plan.
|Work Title||Generative Redesign|
|License||CC BY-NC 4.0 (Attribution-NonCommercial)|
|Publication Date||September 23, 2021|
|Deposited||February 16, 2022|