Please note that this session was withdrawn and is no longer available in the respective programme. This withdrawal might have been the result of a merge with another session.
GI2.1 | Advanced solutions to monitor and model large infrastructures behaviour
Advanced solutions to monitor and model large infrastructures behaviour
Convener: Alberto García González | Co-conveners: Raniero BeberECSECS, Sergio Zlotnik, Bartłomiej Bursa, Francisco Hernandez
Large engineering infrastructures, such as flood embankments, rails and road networks, dams or bridges, play a vital role in our society. Due to changes in climate and microclimate, infrastructures that have performed well for the last decades can reveal changes in their behaviour, especially in case of weather extremes such droughts, heavy raining or heat waves. It is therefore becoming increasingly important to be able to monitor and model the behaviour of man-made structures under operational or extreme conditions to ensure safety, reliability and efficiency. Today's rapidly evolving technological landscape is offering different solutions (in terms of hardware and software) to monitor and model the behaviour of large-scale infrastructures.
This section welcomes new (low-cost) hardware technologies and software tools, including open-source devices, AI methods or integrated solutions, to monitor man-made infrastructures, perform anomaly detection or failure prediction in complex systems. Contributions that develop on top of or complement a monitoring system with modelling methods are also welcome. The session will therefore cover key topics such as sensor networks, digital twins, IoT solutions, big data analytics, Cloud-based platforms and decision support systems (DSS), providing insights into their applications across sectors like infrastructure monitoring, transportation, energy and urban development. Participants will gain a comprehensive understanding of how these innovations are reshaping the management of large infrastructures, improving decision-making, and optimizing long-term maintenance strategies.