Descrizione del progetto
Un migliore monitoraggio delle strutture ingegneristiche andrà a beneficio sia dell’industria che dei cittadini
Strutture ingegneristiche complesse come ponti e autostrade si deteriorano nel tempo, spesso in modi non visibili. Il monitoraggio dello stato di salute della struttura (SHM, structural health monitoring) attiva una valutazione continua per monitorare le modifiche e favorire la rilevazione precoce dei guasti prima che si verifichino danni costosi, o addirittura letali. L’SHM a base d’onda guidata rileva anomalie attraverso i cambiamenti nella propagazione delle onde ultrasoniche guidate attraverso le strutture. Sebbene sia promettente, non è ancora ampiamente utilizzato in contesti industriali. La sensibilità delle onde ultrasoniche guidate a molti parametri è difficile da ottimizzare a causa della mancanza di un software di modellizzazione adeguato. GW4SHM sta formando nuovi ricercatori nella simulazione e nell’elaborazione del segnale. Il progetto prevede di creare strumenti personalizzati per l’industria per favorire l’assorbimento di SHM basato su onde ultrasoniche guidate in numerosi settori.
Obiettivo
Structural health monitoring (SHM) is essential to guarantee the safe and reliable operation of technical appliances and will be a key enabler to exploit emerging technologies such as remaining useful lifetime prognosis, condition-based maintenance, and digital twins. Particularly, SHM using ultrasonic guided waves is a promising approach for monitoring chemical plants, pipelines, transport systems and aeronautical structures. While substantial progress has been made in the development of SHM technology, current techniques are often realised only at lab-scale. Missing quantification of reliability hinders their practical application. The substantial effort for signal processing and of permanent transducer integration as well as the lack of efficient simulation tools to improve understanding of guided wave-structure interaction and to predict the capabilities of the system limit their widespread use. Training of PhD students specialised in SHM is limited and fragmented in Europe. The aim of this project is to combine for the first time efficient simulation and signal processing tools for SHM and to assess the reliability of the monitoring systems. The project will bring together partners from academia and industry and will train a new generation of researchers skilled in all aspects of SHM, enabling them to transform SHM research into practical applications. Focusing on aeronautics, petrochemistry and the automotive sector as initial pilot cases, we will develop SHM concept to assess the integrity of structures and create ready-to-use tools for industry and other SHM users. The strong collaboration between mathematicians, physicists and engineers aims to bring the capabilities and applicability of SHM methods to the next level. Our students will acquire multidisciplinary scientific expertise, complementary skills, and experience working in academia and industry. The outcome of the project will pave the way for integrating SHM into real-world engineering structures.
Campo scientifico
- engineering and technologycivil engineeringstructural engineeringstructural health monitoring
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsignal processing
- engineering and technologymechanical engineeringvehicle engineeringautomotive engineering
- engineering and technologymechanical engineeringvehicle engineeringaerospace engineeringaeronautical engineering
- natural sciencescomputer and information sciencessoftwaresoftware applicationssimulation software
Parole chiave
Programma(i)
Argomento(i)
Meccanismo di finanziamento
MSCA-ITN - Marie Skłodowska-Curie Innovative Training Networks (ITN)Coordinatore
12205 Berlin
Germania