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dc.contributor.authorTorres-Arredondo, Miguel Angel
dc.contributor.authorTibaduiza Burgos, Diego Alexander
dc.contributor.authorMujica Delgado, Luis Eduardo
dc.contributor.authorRodellar Benedé, José
dc.contributor.authorFritzen, Claus-Peter
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Matemàtica Aplicada III
dc.date.accessioned2013-02-26T11:52:08Z
dc.date.available2013-02-26T11:52:08Z
dc.date.created2013
dc.date.issued2013
dc.identifier.citationTorres-Arredondo, M. [et al.]. Damage assessment in a stiffened composite panel using non-linear data-driven modelling and ultrasonic guided waves. A: International Symposium on NDT in Aerospace. "Proceedings 4th International Symposium on NDT in Aerospace". Augsburg: 2013.
dc.identifier.urihttp://hdl.handle.net/2117/17972
dc.description.abstractStructural components made of composite materials are being used more often in aerospace and aeronautic structures due to their well-known properties such as high mass specific stiffness and strength. However, their application also increases the analysis complexity of such structures. Structural health monitoring (SHM) systems for these structures aim to determine the status of the system in real time such that a longer safe life and lower operational costs can be guaranteed. On that account, this paper is concerned with the experimental validation of a structural health monitoring methodology where a damage detection and classification scheme based on an acousto-ultrasonic (AU) approach is applied to a composite panel incorporating stiffening elements using a piezoelectric active sensor network in conjunction with time-frequency multiresolution analysis and non-linear feature extraction. Therefore, structural dynamic responses from the simplified aircraft composite skin panel are collected and signal features are then extracted with a signal processing and data fusion methodology in terms of the wavelet transform technique and hierarchical non-linear principal component analysis. A critical comparison with linear feature extraction methods indicates that the proposed method outperforms the traditional linear methods for the purpose of damage classification. Additionally, results show that all the damages were detectable and classifiable, and the selected features proved capable of separating all damage conditions from the undamaged state.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria mecànica::Mecatrònica
dc.titleDamage assessment in a stiffened composite panel using non-linear data-driven modelling and ultrasonic guided waves
dc.typeConference report
dc.subject.lemacMecatrònica
dc.subject.lemacMaterials compostos
dc.contributor.groupUniversitat Politècnica de Catalunya. CoDAlab - Control, Modelització, Identificació i Aplicacions
dc.rights.accessOpen Access
local.identifier.drac11484608
dc.description.versionPostprint (published version)
local.citation.authorTorres-Arredondo, M.; Tibaduiza, D.A.; Mujica, L.E.; Rodellar, J.; Fritzen, C.P
local.citation.contributorInternational Symposium on NDT in Aerospace
local.citation.pubplaceAugsburg
local.citation.publicationNameProceedings 4th International Symposium on NDT in Aerospace


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Attribution-NonCommercial-NoDerivs 3.0 Spain
Salvo que se indique lo contrario, los contenidos de esta obra estan sujetos a la licencia de Creative Commons : Reconocimiento-NoComercial-SinObraDerivada 3.0 España