Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
Adopting effective maintenance strategies for transportation infrastructures requires good prediction of their long-term behaviour. For planning interventions without affecting the entire network’s capacity, tunnels in particular require a good overview of expected problems. G.I.S. tools are helpful for managing transportation networks since they allow immediate identification the influence of tunnel location on development of specific disorders. A G.I.S. based approach for analysing and predicting degradation processes affecting roads tunnels is presented. The results show how tunnels location may inform on main problems observed in concrete lined tunnels during their service life. The agreement of analyses results and disorders identified during inspections allows considering G.I.S. promising tools for pathologies detection and decision about preventive maintenance.
Gökan May, Sangje Cho, Marlène Hildebrand-Ehrhardt
Pierre Dillenbourg, Thibault Lucien Christian Asselborn, Wafa Monia Benkaouar Johal, David Cohen