The research activity is carried out in the field of Structural Health Monitoring and it is mainly focused on the development of procedures for solving inverse problems related to structural identification and damage identification including
combination of physical models and experimental data coming from both traditional and innovative acquisition systems
data-driven model implementation
digital twins development of monitored structures
digital image processing for the measurement of the structural dynamic response and damage detection
experimental validation of strain sensors obtained by filling water-based polyurethane paint with graphene nanoplatelets for the measurement of the structural dynamic response