Description
This study investigates into the innovative application of Digital Twins to monitor the structural health of reinforced and prestressed concrete bridges. Digital Twins, precise digital representations of real structures, emerge as an advanced solution, integrating data collected through drones and sensors to simulate and analyze structural behavior. This approach is decisive for anticipating pathological manifestations, optimizing maintenance, and preventing failures, holding significant implications for the future of structural engineering. The research investigates the application of Digital Twins in monitoring the structural health of concrete bridges, emphasizing their potential in early identification of pathologies, efficient maintenance, and prevention of structural failures. Two case studies exemplify the practical application of this technology, highlighting challenges such as complex data integration and associated costs. Digital Twins, capable of simulating structural behavior, have proven effective in monitoring the health of concrete bridges, addressing pathological manifestations, and optimizing maintenance. Despite technological challenges and associated costs, their application is necessary to ensure structural safety, reducing both human and economic impacts.
