Universitat Politècnica de Catalunya. Departament de Resistència de Materials i Estructures a l'Enginyeria
Universitat Politècnica de Catalunya. GiES - Geofísica i Enginyeria Sísmica
Corrosion affecting reinforced concrete structures is a critical concern in civil engineering in terms of structural integrity, especially in critical infrastructure, safety risks to users, and long-term durability and safe operation over time, as well as for environmental impact and financial implications. Within this context, early detection of corrosion in reinforced concrete structures is crucial for time intervention, enabling preventive maintenance and anticipating future deterioration. This work proposes the GroundPenetrating Radar (GPR) as a recognized method for assessing corrosion in concrete structures. First, an overview of the effects of corrosion on the GPR signal, and how it can be detectable from the GPR data, is presented. Next, two different case studies are addressed, including the evaluation of a precast bridge deck in Galicia, and the unique structures of the UNESCO World Heritage Site of Park Güell in Barcelona. New trends on the development of robots to improve accessibility and autonomous data collection are also commented, as well as the use of artificial intelligence for automatic corrosion detection and the possibilities for data digitization into interoperable Building Information Modelling (BIM) and digital twin environments. Finally, it should be highlighted that identifying corrosion at an early stage allows engineers to take proactive measures to prolong the lifespan and serviceability of structures.
Postprint (published version)
Conference report
English
Àrees temàtiques de la UPC::Enginyeria civil::Geotècnia; Corrosion detection; GPR; Reinforced concrete; Signature
https://avestia.com/NewTech2024_Proceedings/files/paper/ICCEIA/ICCEIA_130.pdf
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-117374RB-I00/ES/RECURSOS MULTIDISCIPLINARES PARA EL DIAGNOSTICO SISMICO. MICROZONACION Y DAÑO./
Sistema robòtic autònom per a l’aplicació de georadar en sòl agrícola
Open Access
E-prints [72896]