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
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
August 2008
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), .
(doi:10.1111/j.1475-1305.2007.00371.x).
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.
This record has no associated files available for download.
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: 15 Mar 2024 10:53
Export record
Altmetrics
Contributors
Author:
D. Chetwynd
Author:
F. Mustapha
Author:
K. Worden
Author:
J.A. Rongong
Author:
S.G. Pierce
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics