address: Granta Park, Great Abington
|Nazionalità Coordinatore||United Kingdom [UK]|
|Totale costo||1˙962˙206 €|
|EC contributo||1˙479˙170 €|
Specific Programme "Cooperation": Transport (including Aeronautics)
|Anno di inizio||2013|
|Periodo (anno-mese-giorno)||2013-05-01 - 2016-10-31|
address: Granta Park, Great Abington
ADVANCES & INNOVATION IN SCIENCE & ENGINEERING CO EE
address: ODOS GYMNASIARCHOU MADIA 17
UNIVERSITY OF PATRAS
address: UNIVERSITY CAMPUS RIO PATRAS
|EL (RIO PATRAS)||participant||256˙040.00|
ATARD SAVUNMA VE HAVACILIK SANAYI ILERI TEKNOLOJI UYGULAMALARI ARASTIRMA VE GELISTIRME A.S.
address: HADIMKOY SAN BIR 5 BOLGE 12 CAD NO 106 BOLUM 2/3 BUYUKCEKMECE
ISRAEL AEROSPACE INDUSTRIES LTD.
address: BEN GURION INTERNATIONAL AIRPORT
FUNDACION CENTRO DE TECNOLOGIAS AERONAUTICAS
address: "Parque Tecnologico de Alava (Minano), C/ Juan de la Cierva 1"
|ES (MINANO (ALAVA))||participant||99˙500.00|
ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS
address: CHARILAOU THERMI ROAD 6 KM
|EL (THERMI THESSALONIKI)||participant||86˙000.00|
Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.
'In order to reduce the sensor number, one has to be based on signals carrying information about the “global” structure state. The structure’s vibrational behavior is definitely a global characteristic. The idea is thus the development of a vibration based, in flight, SHM platform, which can be applied in aircraft structures in practice. The main practical problem for the application of vibration based SHM methods in real world aircraft parts, is the large number of “training experiments” that are normally required for a successful fault detection, identification and localization. In the present project the real world training experiments will be replaced by simulated experiments using a proper analytic model, which will be fine tuned (updated) based a limited number of real world experiments. Furthermore, the existing vibration based methods will be adapted in order to be efficiently coupled with the new “training” procedure.'
EU-funding is supporting the development of a novel in-flight vibration-based structural monitoring platform trained to detect defects via modelling rather than real experience. Significant advantages in time, cost and safety are expected.
In-flight structural health monitoring of composite aerostructures can be a complex task requiring many types of sensors.
Vibrational behaviour is a good global characteristic that offers the potential to significantly reduce the number of sensors.
However, practical application of vibration-based structural health monitoring strategies requires many real-world training sessions for successful fault detection, identification and localisation.Simulated training is replacing the majority of real-world tests for substantial time and cost savings within the scope of the EU-funded project http://www.fp7-vibration.eu/ (VIBRATION).
Scientists are planning to manufacture four full-size composite booms equipped with the vibrational structural health monitoring platform to study damage after impact as the test case.
Finite element modelling will be used for simulated training.During the first period, the team began the manufacture of 45 small-scale composite parts integrating a selected resin and two types of fibre reinforcements.
The first batch is now undergoing vibration characterisation in the healthy state.
Similar tests will be conducted after impact damage.
In addition, researchers conducted 16 different static and frequency analyses employing various finite element approaches.
This aided in the selection of the most suitable model for the small-scale specimens.VIBRATION has devoted its preliminary work to laying the foundations for the demonstrators and the final experiments in the real aerospace component to facilitate maximum technological readiness.
The end-user partner has invested heavily in the demonstrators, evidence of industry interest in exploitation of results.The in-flight structural health monitoring platform for aerospace composites based on vibrational signals should reduce the complexity of sensor networks and improve passenger and crew safety.
Training on models will also significantly decrease the time and cost of inspection and maintenance, thus boosting the competitive position of the aerospace industry.
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