Early Damage Detection in Composite Wingbox Structures using Hilbert-Huang Transform and Genetic Algorithm
Auteur(s): |
H. G. Chen
Y. J. Yan W. H. Chen J. S. Jiang L. Yu Z. Y. Wu |
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Médium: | article de revue |
Langue(s): | anglais |
Publié dans: | Structural Health Monitoring, décembre 2007, n. 4, v. 6 |
Page(s): | 281-297 |
DOI: | 10.1177/1475921707081970 |
Abstrait: |
A vibration-based approach to detect crack damage for large structural systems by using the Hilbert—Huang transform (HHT) has been proposed. The proposed method has been numerically implemented on a composite wingbox. In the implementation process, the following steps have been identified as being important: (a) An optimization procedure is developed by genetic algorithm (GA) in order to determine the location of piezoelectric sensor for damage detection in a composite wingbox; (b) To solve the end effect problem of empirical mode decomposition (EMD), axis-symmetry signal extension method is introduced; (c) Finally, a damage detection method by using HHT is developed. Furthermore, the effect of noise is considered. Examination of the results confirms that the identification method is very robust. |
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sur cette fiche - Reference-ID
10561569 - Publié(e) le:
11.02.2021 - Modifié(e) le:
19.02.2021