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dc.contributor.authorGhasemzadeh, Maryam
dc.contributor.authorMokhtari, Mojtaba
dc.contributor.authorBilgin, Mahmut Hudayi
dc.contributor.authorKefal, Adnan
dc.date.accessioned2023-02-27T07:14:39Z
dc.date.available2023-02-27T07:14:39Z
dc.date.created2023-02-25T00:50:17Z
dc.date.issued2023
dc.identifier.issn0029-8018
dc.identifier.urihttps://hdl.handle.net/11250/3054026
dc.description.abstractThis paper presents a state-of-the art inverse finite element method (iFEM) for full-field, real-time structural health monitoring (SHM) of corroding structures. The study focuses on detecting the location and identifying the extent of pitting corrosion, which is one of the most hazardous forms of corrosion due to the difficulties regarding its prediction and detection. For this purpose, high-fidelity finite element (FE) models of corroded samples with complex-shaped, semi-ellipsoidal, and cylindroconical defects are developed to replicate the strain field of pitting corroded structures. The strain fields produced by the FE models, verified against experimental data, are reconstructed by the iFEM model using a robust and practical four-node quadrilateral inverse-shell element, iQS4. A strain-based damage criterion is defined to obtain the damage distribution and the location of corrosion pits on dog-bone tensile test samples with full sensor iFEM and coupled iFEM-GA reduced sensor technique. Finally, in a practical example of a structure with complex geometry, the proposed method's performance is assessed through detecting the location of corrosion damage on a cylindrical marine structure with axial stiffeners.en_US
dc.language.isoengen_US
dc.publisherElsevier B. V.en_US
dc.titlePitting corrosion identification approach based on inverse finite element method for marine structure applicationsen_US
dc.title.alternativePitting corrosion identification approach based on inverse finite element method for marine structure applicationsen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2023 Elsevier Ltd. All rights reserved.en_US
dc.source.volume273en_US
dc.source.journalOcean Engineeringen_US
dc.identifier.doihttps://doi.org/10.1016/j.oceaneng.2023.113953
dc.identifier.cristin2129141
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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