DATA FUSION BASED DIGITAL TWINS FOR STRUCTURAL SAFETY ASSESSMENT

PRIN 2022

Abstract

This project aims at addressing some research challenges improving the engineering knowledge in the safety assessment of structural systems through a tightly-knit interdisciplinary collaboration among the research units The project is composed of 5 work packages. Three work packages deal with, respectively: image processing, optical fibers and MEMS . Another work package is focused on sensor data fusion by all the research groups. The last one involves all the research units for the definition and updating of the structural models, for an improved safety assessment. The project can lead to advantages with positive effects in terms of human safety, economic and social impacts. Indeed, it is possible to improve the use of economic resources with the definition of any intervention priority with respect to both space and time. These impacts are compliant with the sustainability and circular economy principles: in fact, a proper check and an informed maintenance strategy can lead to a huge spare of resources and construction materials.

Team di ricerca UNIBO

Nicola Buratti, Antonio Romanazzi, Daniele Scocciolini

Partner di progetto

Politecnico di Torino (coordinatore), Politecnico di Milano, Università di Napoli Federico II, Università degli Studi di Roma - Tor Vergata