Abstract
The project aims at developing novel continuous and long-term assessment procedures based on the use of pervasive sensing for the monitoring of civil structures and infrastructures. As opposed to state-of-the-art high-cost-high-precision sensors, low-cost sensors (typically MEMS) with lower precision will be used, to collect data (accelerations, inclinations, strains, stresses) distributed at a much finer grain across the structures. Precision loss and increased measurement data-bandwidth challenges will be addressed through an innovative pervasive and scalable computing approach to structural health monitoring, whereby a significant part of sensor signal processing, analysis and fusion will be performed near-sensor and at the gateway level, before cloud storage and analytics. Continuous, fine-grained and long-term sensing enables detecting possible variations in the structural characteristics in real-time, at an unprecedented resolution level and with limited human intervention. Furthermore, continuously updated digital twin models of the structures will be built, and alarm thresholds will be defined, to put in relation any variations in the structure characteristics with the evolution of degradation/damage scenarios occurring in the life-time or after accidental events.
Durata del progetto/Project duration
2019-2022
Responsabile locale
Prof. Marco Savoia
Responsabile scientifico per il Dipartimento
Prof. Marco Savoia
Altri dipartimenti coinvolti
Dipartimento di ingegneria dell’energia elettrica e dell’informazione “Guglielmo Marconi” – DEI
Coordinator/Coordinatore/Responsabile Nazionale
Prof. Marco Savoia
Partnership
- Dipartimento di Ingegneria e Scienze Applicate, Università degli Studi di Bergamo
- Dipartimento di Meccanica, Politecnico di Milano
- Dipartimento di Strutture per l'Ingegneria e l'Architettura, Università di Napoli Federico II
- Dipartimento di Ingegneria Civile e Ingegneria informatica, Università degli Studi di Roma Tor Vergata
- Dipartimento di Ingegneria Strutturale, Edile e Geotecnica, Politecnico di Torino
Finanziamento
Euro 576000,00