AI-Driven Production in Modular Architecture: An Examination of Design Processes and Methods

Abstract

This study explores the incorporation of AI-driven production technologies within modular architecture, with an emphasis on optimizing design processes and facilitating practical application. By leveraging text-to-image technology via the Runway AI platform, a range of geometric moduls -including rhombic dodecahedra, cubes, hexagonal prisms, truncated octahedra, and triangular prisms-were utilized as prompts to generate architectural designs. The generated designs were subsequently assessed against established modular architecture criteria, with particular attention given to their structural integrity and construction feasibility. The AI-generated outputs exhibited notable versatility, yielding designs that met both structural and architectural standards. This methodological approach presents a new set of tools for architects, enabling them to explore intricate geometric forms while enhancing the efficiency of conceptual and design stages. The results indicate that the integration of AI-driven techniques into modular architecture has considerable potential to drive innovation, offering a more streamlined process for achieving creative and functional design outcomes. Moreover, the application of AI in this context not only expedites the generation of forms but also expands architects' capabilities in producing a wider array of high-quality architectural solutions.