Innovating Works

ENHAnCE

Financiado
European training Network in intelligent prognostics and Health mAnagement in Co...
European training Network in intelligent prognostics and Health mAnagement in Composite structurEs Composite materials are high-performance engineering materials increasingly used by the aerospace, defence, and green-energy industries in part because of their high strength-to-weight ratios. However, internal damage represents... Composite materials are high-performance engineering materials increasingly used by the aerospace, defence, and green-energy industries in part because of their high strength-to-weight ratios. However, internal damage represents one of the most important sources of concern for in-service performance, which has led to growing research interest for its implications in safety and maintenance cost. Realtime measurements of the structural performance are now possible through state-of-the art structural health monitoring techniques, and a large amount of response data can be readily acquired and further analysed to assess various health-related properties of structures. Due to the relative low cost of digitalisation technologies in relation to the operation and maintenance costs of composite structures, the amount of real-time data and information coming from monitored in-service structures is expected to increase exponentially over the coming decades. The research vision of this proposal is that this information has the potential to not only reduce by billions the expenditure on asset maintenance, but also to drastically change the way the composite structures (and their associated assets) are designed, built and operated. ENHAnCE's ambition is to produce a paradigm shift on the health management of composite structures by fusing ad-hoc predictive technologies within the structural system leading to a new concept of intelligent structures understood as cyber-physical systems. With ten employed Early Stage Researchers, ENHAnCE will perform the most cutting edge research and training in the field of intelligent prognostics of composite structures satisfying all Principles for Innovative Doctoral Training. Moreover, the direct industrial engagement through six industrial partners will ensure a multidisciplinary and multisectoral training for the ten employed Early Stage Researchers, thus enabling an effective knowledge and training transfer to industry and practitioners. ver más
30/06/2024
UGR
3M€
Duración del proyecto: 58 meses Fecha Inicio: 2019-08-09
Fecha Fin: 2024-06-30

Línea de financiación: concedida

El organismo H2020 notifico la concesión del proyecto el día 2024-06-30
Línea de financiación objetivo El proyecto se financió a través de la siguiente ayuda:
MSCA-ITN-2019: Innovative Training Networks
Cerrada hace 5 años
Presupuesto El presupuesto total del proyecto asciende a 3M€
Líder del proyecto
UNIVERSIDAD DE GRANADA No se ha especificado una descripción o un objeto social para esta compañía.
Total investigadores 5507