Descripción del proyecto
Mejor supervisión de las estructuras de ingeniería: un beneficio para la industria y los ciudadanos
Las complejas obras de ingeniería, como los puentes o las autopistas, tienden a deteriorarse con el paso del tiempo, a menudo de maneras no perceptibles a simple vista. La monitorización de la salud estructural (SHM, por sus siglas en inglés) consiste en una evaluación constante a fin de controlar los cambios que se producen y detectar pronto los fallos, antes de que sean demasiado caros de reparar o causen, incluso, algún accidente mortal. La SHM basada en ondas guiadas permite detectar las anomalías gracias a los cambios en la propagación de ondas ultrasónicas guiadas por dentro de las estructuras. Es una tecnología prometedora, pero no se utiliza demasiado en el mundo industrial. Una de las razones es que estas ondas ultrasónicas guiadas son sensibles a demasiados parámetros, y no existe un software de modelización adecuado para optimizarlas. GW4SHM está formando a nuevos investigadores en la simulación y el procesamiento de señales. El proyecto planea crear herramientas personalizadas para la industria, a fin de facilitar la adopción de la SHM de ondas ultrasónicas guiadas en numerosos sectores.
Objetivo
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.
Ámbito científico
- 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
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Programa(s)
Régimen de financiación
MSCA-ITN - Marie Skłodowska-Curie Innovative Training Networks (ITN)Coordinador
12205 Berlin
Alemania