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Damage localisation in a stiffened composite panel

Damage localisation in a stiffened composite panel
Damage localisation in a stiffened composite panel
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.
damage detection, multilayer perceptron, outlier analysis, wavelet decomposition
1475-1305
298-307
Chetwynd, D.
0ef3b85a-1a3a-4d53-9533-71653574eab3
Mustapha, F.
56913b23-42be-420d-b1b0-e97fd5766fcc
Worden, K.
07522936-fd47-4df2-b75e-c3d297d104b3
Rongong, J.A.
724e7d1e-29b9-4a46-a536-2a4d0b38ffd2
Pierce, S.G.
9b618edd-6d5c-42ac-9e0c-f285ba75daa2
Dulieu-Barton, J.M.
9e35bebb-2185-4d16-a1bc-bb8f20e06632
Chetwynd, D.
0ef3b85a-1a3a-4d53-9533-71653574eab3
Mustapha, F.
56913b23-42be-420d-b1b0-e97fd5766fcc
Worden, K.
07522936-fd47-4df2-b75e-c3d297d104b3
Rongong, J.A.
724e7d1e-29b9-4a46-a536-2a4d0b38ffd2
Pierce, S.G.
9b618edd-6d5c-42ac-9e0c-f285ba75daa2
Dulieu-Barton, J.M.
9e35bebb-2185-4d16-a1bc-bb8f20e06632

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), 298-307. (doi:10.1111/j.1475-1305.2007.00371.x).

Record type: Article

Abstract

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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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: https://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: 13 Mar 2019 20:37

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