ABSTRACT
Introducing repurposed materials into building design is critical for reducing greenhouse gas emissions and waste generation from the architecture, engineering, and construction sector. However, designing from reclaimed materials requires a design method for creatively reassembling distinct building components. Generative artificial intelligence (AI), capable of creating content based on learned data patterns, offers a new possibility for conceptual design in architecture. The study explores generative AI-aided design strategies for creatively (re-)assembling reused building materials and proposes an innovative circular design framework. We investigate the role of generative AI for exploring image-to-image and text-to-image generators in creatively managing and imaginatively applying building component databases for circular design. We show the potential of generative AI for supporting human creativity in the proposed co-design approach to forge a new aesthetic paradigm in architecture focused on the creative amalgamation of distinct elements.
