- PROMOTER ENTITY IST-UL, ULHT, UC, UNESP, UFMG AND UFPA
- COORDINATOR NUNO MAIA (IST-UL) AND SAMUEL DA SILVA (UNESP)
- FUNDING INSTITUTION FCT/CAPES (2019.00164.CBM)
- COORDINATORS PER INSTITUTION INVOLVED NUNO MAIA (IST-UL), ELÓI FIGUEIREDO (ULHT), JOÃO PEDRO MARTINS (UC), SAMUEL DA SILVA (UNESP), CARLOS CIMINI JUNIOR (UFMG), JOÃO WEYL (UFPA).
- PERIOD OF FUNDING MARCH 2021 TO MARCH 2023
Summary: The QUANTI project aims to develop advanced tools to support decision-making in the detection, localization, quantification, and prognosis of damage in composite materials, with particular emphasis on hybrid joints in aeronautical structures. The project integrates physics-based mathematical models for guided-wave propagation with artificial intelligence and probabilistic machine-learning algorithms, combining complementary expertise in structural health monitoring, composite materials, numerical modeling, sensing technologies, and artificial intelligence. Building on long-standing collaborations among the participating institutions, QUANTI seeks to advance reliable methodologies for assessing the condition and predicting the performance of complex composite structures.
Main conclusions: The QUANTI project successfully strengthened scientific collaboration between Portuguese and Brazilian institutions, combining research in structural health monitoring, artificial intelligence, numerical modeling, and transfer learning. The project resulted in nine peer-reviewed international journal articles, six conference communications, and two doctoral theses, supported by extensive researcher and student mobility between the participating institutions. These exchanges were instrumental in connecting complementary research activities and generating new collaborations, including a successful FAPESP Visiting Researcher grant focused on similarity metrics for transfer learning in SHM. Overall, the project demonstrated that relatively modest international mobility funding can generate substantial scientific output, strengthen institutional partnerships, support advanced training, and create opportunities for follow-up research and educational initiatives.
