INTENT is a R&D project to develop a new bender element for the continuous monitoring of the dynamic stiffness of unbound granular layers, and use it, along with conventional sensors and advanced numerical models, to fuel machine learning algorithms for continuous monitoring of pavements.
This study focuses on the growing concern about how university teaching buildings can adapt to climate change and how environmental comfort conditions for their occupants can be guaranteed in future scenarios.