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dc.contributor.authorRomanin, Luca
dc.contributor.authorVinogradov, Alexey
dc.contributor.authorBerto, Filippo
dc.contributor.authorFerro, Paolo
dc.date.accessioned2020-01-31T13:46:12Z
dc.date.available2020-01-31T13:46:12Z
dc.date.created2019-09-26T18:27:26Z
dc.date.issued2019
dc.identifier.citationFrattura ed Integrità Strutturale. 2019, 13 (48), 116-124.nb_NO
dc.identifier.issn1971-8993
dc.identifier.urihttp://hdl.handle.net/11250/2639098
dc.description.abstractThe present work aims at developing a new approach towards the analysis of the crack path through the access to the information from the infrared (IR) video imaging of the steady fatigue crack growth. We first test some commonly available infrared image filtering techniques, and then we introduce a new robust algorithm to identify the position of the dynamic crack. The proposed procedure performs the local analysis of the temperature distribution around the fatigue crack tip in the 316L stainless steel. The developed MATLAB framework simplifies the routine processing and permits analyzing multiple experiments reasonably easily. Two filtering procedures - Gaussian and wavelet shrinkage - were implemented and applied successively to denoise the IR images. Both filters produce comparable and good quality results. The new algorithm capable of automatically locating the crack tip position from consecutive filtered IR images is proposed. Remarkably successful results are demonstrated with only small errors caused by materials distortion.nb_NO
dc.language.isoengnb_NO
dc.publisherGruppo Italiano Fratturanb_NO
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleA novel algorithm for crack path identification based on infrared imagesnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.pagenumber116-124nb_NO
dc.source.volume13nb_NO
dc.source.journalFrattura ed Integrità Strutturalenb_NO
dc.source.issue48nb_NO
dc.identifier.doi10.3221/IGF-ESIS.48.14
dc.identifier.cristin1729862
dc.description.localcode© 2019 This is an open access article under the terms of the CC-BY 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.nb_NO
cristin.unitcode194,64,92,0
cristin.unitnameInstitutt for maskinteknikk og produksjon
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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