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TEAM

Financiado

Cerrado

Training in European Asset Health Management

Transport demand, both for passengers and freight, is growing strongly. To meet the economic growth targets of the Lisbon Agenda and to facilitate the economic integration of the European Union, European transportation needs to ca... ver más

31/10/2013

NUID UCD

3M€

Presupuesto del proyecto: 3M€

Líder del proyecto

UNIVERSITY COLLEGE DUBLIN NATIONAL UNIVERSITY... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Ver 6 Participantes

Financiación concedida El organismo FP7 notifico la concesión del proyecto el día 2013-10-31 No tenemos la información de la convocatoria

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Información adicional privada

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

6 Participantes

NUID UCD

0.00€ | Lider

THE UNIVERSITY OF NOTTINGHAM

N.D. | Participante

RAMBOLL DANMARK AS

N.D. | Participante

IFSTTAR

N.D. | Participante

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Líder del proyecto

UNIVERSITY COLLEGE DUBLIN NATIONAL UNIVERSITY... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 3M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto Transport demand, both for passengers and freight, is growing strongly. To meet the economic growth targets of the Lisbon Agenda and to facilitate the economic integration of the European Union, European transportation needs to cater for a continuing medium term growth in demand. However, transport growth using the technologies of today is unsustainable. New technologies and processes need to be developed which deliver cheap transport which is sustainable. In the past two decades there has been a revolution in electronic sensor and processing technologies. Sensors and the associated multiplexing electronics and software tools are now cheap and reliable which creates potential for new innovative uses in all kinds of ways. The TEAM proposal will exploit the benefits of new sensor and processing technologies, methodologies, models and algorithms to monitor the condition and safety of transport infrastructure. These new sources of asset health data, combined with new computer models and algorithms, will achieve a step change gain in the accuracy of condition and safety assessments. Knowing exactly the processes, parameters, implications and state of health of transport infrastructure assets, will extend their safe working lives and reduce costs. It will prevent premature and sub-optimal repair, rehabilitation and replacement of assets without compromising safety. The TEAM project will not just achieve these technological advances but will also develop training structures for a new generation of PhD students with the specialist and complementary skills necessary to develop the transport infrastructure of tomorrow.

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