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dc.contributor.authorREBILLAT, Marc
dc.contributor.authorHAJRYA, Rafik
dc.contributor.author
 hal.structure.identifier
MECHBAL, Nazih
86289 Laboratoire Procédés et Ingénierie en Mécanique et Matériaux [PIMM]
dc.date.accessioned2014
dc.date.available2014
dc.date.issued2014
dc.date.submitted2014
dc.identifier.issn0888-3270
dc.identifier.urihttp://hdl.handle.net/10985/8235
dc.description.abstractStructural damages can result in nonlinear dynamical signatures that can significantly enhance their detection. An original nonlinear damage detection approach is proposed that is based on a cascade of Hammerstein models representation of the structure. This model is estimated by means of the Exponential Sine Sweep Method from only one measurement. On the basis of this estimated model, the linear and nonlinear parts of the output are estimated, and two damage indexes (DIs) are proposed. The first DI is built as the ratio of the energy contained in the nonlinear part of an output versus the energy contained in its linear part. The second DI is the angle between the subspaces obtained from the nonlinear parts of two set of outputs after a principal component analysis. The sensitivity of the proposed DIs to the presence of damages as well as their robustness to noise are assessed numerically on spring-mass-damper structures and experimentally on actual composite plates with surface-mounted PZT-elements. Results demonstrate the effectiveness of the proposed method to detect a damage in nonlinear structures and in the presence of noise.
dc.language.isoen
dc.publisherElsevier
dc.rightsPost-print
dc.subjectStructural health monitoring
dc.subjectnon-linear system identication
dc.subjectdamage detection
dc.titleNonlinear structural damage detection based on cascade of Hammerstein models
dc.identifier.doi10.1016/j.ymssp.2014.03.009
dc.typdocArticle dans une revue avec comité de lecture
dc.localisationCentre de Paris
dc.subject.halInformatique: Intelligence artificielle
dc.subject.halInformatique: Traitement du signal et de l'image
dc.subject.halSciences de l'ingénieur: Mécanique: Matériaux et structures en mécanique
dc.subject.halSciences de l'ingénieur: Mécanique: Vibrations
ensam.audienceInternationale
ensam.page247 -- 259
ensam.journalMechanical Systems and Signal Processing
ensam.volume48
ensam.issue1--2
hal.identifierhal-01001853
hal.version1
hal.statusaccept
dc.identifier.eissn1096-1216


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