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European training Network in intelligent prognostics and Health mAnagement in Composite structurEs

Project description

DEENESFRITPL

European network on structural health monitoring of composites

Composite materials boast outstanding characteristics, making them increasingly valuable in the aerospace sector as a substitute to metal. Damage detection and characterisation of engineering structures is conducted by state-of-the-art structural health monitoring techniques. The amount of real-time data derived from damage analysis is expected to increase exponentially over the coming decades. Funded under the Marie Skłodowska-Curie programme, the ENHAnCE project aims to produce a paradigm shift in the structural health management of composite structures by fusing predictive technologies within structural systems to act as cyber-physical systems. ENHAnCE will perform the most cutting-edge research and training in the intelligent prognostics of composite structures. The involvement of industrial partners will improve knowledge transfer between academia and industry.

Objective

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.

Fields of science

Keywords

Programme(s)

Topic(s)

Call for proposal

H2020-MSCA-ITN-2019

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Funding Scheme

MSCA-ITN - Marie Skłodowska-Curie Innovative Training Networks (ITN)

Coordinator

UNIVERSIDAD DE GRANADA
Net EU contribution
€ 501 809,76
Address
Cuesta del hospicio sn
18071 Granada
Spain

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Region
Sur Andalucía Granada
Activity type
Higher or Secondary Education Establishments
Links
Other funding
€ 0,00

Participants (8)

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EC signature date 9 August 2019
Last update: 23 June 2023

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Permalink: https://cordis.europa.eu/project/id/859957

European Union, 2023