SCOPE
Self-sensing Curved composite panel under Operational load: methodology Platform for prediction of damage Event
| Coordinatore | IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE
Organization address
address: SOUTH KENSINGTON CAMPUS EXHIBITION ROAD contact info |
| Nazionalità Coordinatore | United Kingdom [UK] |
| Totale costo | 400˙000 € |
| EC contributo | 300˙000 € |
| Programma | FP7-JTI
Specific Programme "Cooperation": Joint Technology Initiatives |
| Code Call | SP1-JTI-CS-2012-03 |
| Funding Scheme | JTI-CS |
| Anno di inizio | 2013 |
| Periodo (anno-mese-giorno) | 2013-05-15 - 2015-05-14 |
Partecipanti
| # | ||||
|---|---|---|---|---|
| 1 |
IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE
Organization address
address: SOUTH KENSINGTON CAMPUS EXHIBITION ROAD contact info |
UK (LONDON) | coordinator | 300˙000.00 |
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Obiettivo del progetto (Objective)
'This proposal will develop SHM methodology platform, as outlined in JTI call JTI-CS-2012-3-GRA-01-051, for impact and damage detection in curved fuselage panels under real load conditions. The platform will be able to detect BIVID and VID on sensorised fuselage panels. Different SHM methodologies will be established based on piezoelectric transducers and Fibre Optic sensors. To allow for numerical simulation of impact events and wave propagation, non-linear Finite Element models will be developed using SMART Elements to run in parallel on High Performance Computing units. Moreover advanced Message Passing Interfaces will be utilised to cope with large size of data handling. The SCOPE platform will have the following features: SMART computational methodologies to accurately simulate sensing and actuating in real-time under real dynamic load conditions; Passive sensing methodologies by generating meta-models based on sensor signals to detect and identify various impact events which are likely to occur during service life of aircraft; Active sensing techniques based on Lamb wave and Electromechanical Impedance to detect and characterise damage; An optimisation algorithm resulting in optimum sensor layout (i.e. number and location) using sensor data from SMART FE simulations; A robust and reliable sensor system by utilising “SMART sensor” models with self-diagnostic properties to reduce the Probability of False Alarm; Full non-linear impact analysis incorporating damage models for advanced composite to identify damage development and propagation; Statistical analysis of the developed methodologies to result in a robust and reliable SHM platform; To set test procedures for collecting SHM data; Multiple impact data for impact identification; Validation and calibration of the developed methodologies.'