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Matrix Optimization for Testing by Interaction of Virtual And Test Environments

A significant step change is proposed in the way virtual and test environments are used together in an industrial environment to reduce the cost, risks and time associated with product development. Enabling technologies, which ha... ver más

31/05/2020

THE UNIVERSITY OF...

742K€

Presupuesto del proyecto: 742K€

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THE UNIVERSITY OF LIVERPOOL No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

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Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2020-05-31

JTI-CS2-2016-CFP04-AIR-02-32: Testing matrix optimization by inte...

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4 Participantes

THE UNIVERSITY OF LIVERPOOL

189.23K€ | Lider

162.40K€ | Participante

EMPA

179.38K€ | Participante

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Duración del proyecto: 36 meses Fecha Inicio: 2017-05-03
Fecha Fin: 2020-05-31

Líder del proyecto

THE UNIVERSITY OF LIVERPOOL No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 742K€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto A significant step change is proposed in the way virtual and test environments are used together in an industrial environment to reduce the cost, risks and time associated with product development. Enabling technologies, which have been demonstrated in laboratory conditions during a series of EU FP 5 and 7 projects, will be transitioned into the industrial environment and demonstrated in a structural test on an aircraft subcomponent. In more detail: approaches to quantifying uncertainty in measurements of displacement and strain fields obtained using digital image correlation will be reviewed and a simple-to-use, robust methodology developed for use in industrial environments, with attention paid to the need to consider the entire measurement volume as well as within the same timescale as a structure test. In addition, recent advances in the validation of simulations, using image decomposition to compare predicted and measured data fields, will be incorporated into advanced structural test protocols taking account of uncertainties to provide statements on the extent to which the predictions represent reality, i.e. the validity of the simulations. Best practice guidelines will be developed to allow the test matrix to be optimised thus minimizing the cost and time required for tests while maximising the reliability and credibility of the simulations. The proposed research represents a significant and generic advance in the technologies and methodologies used to validate computational models of structures that will benefit a wide range of industrial sectors, including the aerospace industry where it will support the introduction of disruptive technologies, such as highly integrated structures, by enabling high fidelity simulations. A strong programme of exploitation and dissemination is proposed using traditional routes as well as digital shorts, webinars, and a blog as well as workshops linked to the revision of the prenormative document published by CEN.

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