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CONTRIBUTION A LA SURVEILLANCE DE L'INTEGRITE DES STRUCTURES

Abstract : Conception of a structural health monitoring system comprises of various steps involving structural modeling, identification, feature extraction and development of a statistical model for damage identification. The objective of this thesis is to develop a damage localization approach integrating these steps and to validate the approach by finite element numerical simulations. In this context, different steps involved in the modeling of an active structure, comprising of piezoelectric sensors, were highlighted. For system identification, subspace identification (SubID) method was chosen, as it is based on robust matrix based operations. Problems related to the accuracy of modal parameter estimates and to the automatic elimination of spurious modes in this method were addressed by proposing an alternative stabilization histogram. This histogram automatically extracts identified modal parameters and gives an estimate of the level of confidence with which a mode is identified. Three existing subspace based features are tested by using a simple numerical model and it is shown that damage localization is difficult to achieve using these features. An artificial neural network based approach using a new non-parametric residual vector, as input, is proposed for damage identification. The residual vector is associated with observability null-space of the system and is generated by using parity matrices, obtained from SubID. Numerical and experimental results obtained from a cantilever beam and from aluminum plates validate the proposed methodology.
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https://pastel.archives-ouvertes.fr/pastel-00503109
Contributor : Kashif Saeed <>
Submitted on : Friday, July 16, 2010 - 3:50:10 PM
Last modification on : Thursday, January 11, 2018 - 6:20:30 AM
Long-term archiving on: : Friday, October 22, 2010 - 2:59:58 PM

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  • HAL Id : pastel-00503109, version 1

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Kashif Saeed. CONTRIBUTION A LA SURVEILLANCE DE L'INTEGRITE DES STRUCTURES. Mécanique [physics.med-ph]. Arts et Métiers ParisTech, 2010. Français. ⟨NNT : 2010ENAM0024⟩. ⟨pastel-00503109⟩

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