Digital Twins in AEC

At the Laboratory of Digital Models in Structures and Construction, our research on Digital Twins explores their transformative potential in the built environment. Our work is structured along two key research lines:

1. Digital Twins as Enablers for the Built Environment
   We investigate how digital twins enhance infrastructure performance, resilience, and sustainability. By integrating data from sensors, simulations, and real-time monitoring, we assess how these virtual counterparts can improve decision-making, optimize maintenance strategies, and support the life-cycle management of structures. Our research covers data collection, interoperability, and data integration with agents and systems of the built environment.

2. Digital Twins as Educational Vehicles
   Beyond their technical applications, we explore how digital twins serve as tools for education and knowledge transfer. Developing and interacting with digital twins allows learners to grasp the complexities of models or data-driven processes, from acquisition to visualization and analysis. By designing accessible and modular digital twin frameworks that leverage tools developed in the lab, we enable students, researchers, and professionals to engage with the intricacies of the data journey. Hands-on developing of digital twins from a radically open perspective.