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Damage localisation in a stiffened composite panel

Record type: Article

This work was conducted as part of the Aircraft Reliability Through Intelligent Materials Application (ARTIMA) European Union project. It presents a case study of damage detection in a curved carbon-fibre reinforced panel with two omega stiffeners which was investigated using ultrasonic Lamb waves. The statistical technique of outlier analysis was used here as a way of pre-processing experimental data prior to damage classification. Multilayer perceptron neural networks were used here for both classification and regression problems of damage detection. It was then investigated whether using wavelet analysis to perform prior wavelet decompositions of experimental data could facilitate damage classification.

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Citation

Chetwynd, D., Mustapha, F., Worden, K., Rongong, J.A., Pierce, S.G. and Dulieu-Barton, J.M. (2008) Damage localisation in a stiffened composite panel Strain, 44, (4), pp. 298-307. (doi:10.1111/j.1475-1305.2007.00371.x).

More information

e-pub ahead of print date: 16 February 2008
Published date: August 2008
Keywords: damage detection, multilayer perceptron, outlier analysis, wavelet decomposition
Organisations: Fluid Structure Interactions Group

Identifiers

Local EPrints ID: 55268
URI: http://eprints.soton.ac.uk/id/eprint/55268
ISSN: 1475-1305
PURE UUID: b494714c-87eb-4ad3-8699-dd6cd92a47a2

Catalogue record

Date deposited: 04 Aug 2008
Last modified: 17 Jul 2017 14:33

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Contributors

Author: D. Chetwynd
Author: F. Mustapha
Author: K. Worden
Author: J.A. Rongong
Author: S.G. Pierce

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