Inteligencia artificial en arquitectura: automatización de la planificación del espacio y generación de volumetría o masa de un edificio

Abstract

The advancement of artificial intelligence has profoundly influenced current construction and design methods. However, Cuenca, recognized as a UNESCO World Heritage site, encounters regulatory challenges that impede the adoption of these technologies. This thesis proposes developing specific code extensions for Autodesk Revit and its DynamoBIM add-in to facilitate the application of artificial intelligence through generative design techniques in Cuenca's architectural processes. A thorough analysis of local regulations was conducted, leading to the creation of genetic algorithms that generate optimized structures and volumetries based on the city's topographic and regulatory parameters. These code extensions empower architects to harness artificial intelligence's capabilities, enabling them to produce optimal solutions within minutes while ensuring compliance with regulations and enhancing efficiency in design and construction. The study's findings indicate that these tools are not only user-friendly but also provide significant time savings. The favorable perception among architects and their intent to use these solutions in the future highlight the potential for widespread adoption within the industry. Therefore, implementing these code extensions in Cuenca could revolutionize the city's construction and design methods, allowing for the integration of advanced technologies within a restrictive regulatory framework, ultimately modernizing the architectural landscape.