SMASH

Smart Methodologies and multilevel/multiscale Analysis of composite stiffened panel for Structural Health monitoring

 Coordinatore IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE 

 Organization address address: SOUTH KENSINGTON CAMPUS EXHIBITION ROAD
city: LONDON
postcode: SW7 2AZ

contact info
Titolo: Prof.
Nome: Ferri M.H
Cognome: Aliabadi
Email: send email
Telefono: +44 20 75945056
Fax: +44 20 75941974

 Nazionalità Coordinatore United Kingdom [UK]
 Totale costo 417˙130 €
 EC contributo 312˙847 €
 Programma FP7-JTI
Specific Programme "Cooperation": Joint Technology Initiatives
 Code Call SP1-JTI-CS-2009-01
 Funding Scheme JTI-CS
 Anno di inizio 2009
 Periodo (anno-mese-giorno) 2009-11-01   -   2012-01-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE

 Organization address address: SOUTH KENSINGTON CAMPUS EXHIBITION ROAD
city: LONDON
postcode: SW7 2AZ

contact info
Titolo: Prof.
Nome: Ferri M.H
Cognome: Aliabadi
Email: send email
Telefono: +44 20 75945056
Fax: +44 20 75941974

UK (LONDON) coordinator 312˙847.00

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

fe    structures    multilevel    panel    neural    data    composite    network    smart    sensorised    sensors    aircraft    stiffened    damage    multiscale    computational    detection   

 Obiettivo del progetto (Objective)

'The concept of sensorised structures for the purpose of damage detection and recording changes of strain fields is of growing interest to reduce the maintenance activities as well as to improve the aircraft safety. The general objective of this proposal is to develop effective computational tools for the development and manufacturing of aircraft stiffened composite sensorised composite structures for impact damage detection as outlined in CfP JTI-CS-2009-1-GRA-01-005. Different SHM methods for Piezoceramics and Fiber Optic sensors will be developed. In this proposal, we will develop: • smart computational methodologies to accurately simulate the sensing/actuating of a smart panel; • methods based on Lamb waves and Electormechnaicam Impedance; • optimum sensor layout methodology (i.e. number and location of sensors), using smart FE, test data and optimisation;. • a neural network using test results and smart FE; • generation of response functions and metalmodels using the neural network and smart FE; • a multilevel analysis of stiffened composite panel; • robust methodologies for multiscale modelling of woven composites and multiscale/multilevel environment for modelling material degradation and damage; • validation through test data. The above innovative developments will form validated methodologies of high relevance to the Aeronautical industry.'

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