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ENHAnCE

Financiado

Cerrado

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... ver más

30/06/2024

UGR

3M€

Presupuesto del proyecto: 3M€

Líder del proyecto

UNIVERSIDAD DE GRANADA No se ha especificado una descripción o un objeto social para esta compañía.

Total investigadores 5526

Fecha límite participación Sin fecha límite de participación.

Ver 10 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2024-06-30

MSCA-ITN-2019: Innovative Training Networks Objective:The Innovative Training Networks (ITN) aim to train a new generation of creative, entrepre...

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Características del participante

Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

10 Participantes

UGR

501.81K€ | Lider

JUAN Y JUAN INDUSTRIAL

519.60K€ | Participante

CENAERO

256.32K€ | Participante

TU Delft

265.62K€ | Participante

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Duración del proyecto: 58 meses Fecha Inicio: 2019-08-09
Fecha Fin: 2024-06-30

Líder del proyecto

UNIVERSIDAD DE GRANADA No se ha especificado una descripción o un objeto social para esta compañía.

Total investigadores 5526

Presupuesto del proyecto 3M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto 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.

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