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An autonomous surface discontinuity detection and quantification methodby digital image correlation and phase congruency
University of Sheffield, UK.
University of Oxford, UK.
LaVision, UK.
RISE - Research Institutes of Sweden, Säkerhet och transport. (Mechanics Research)ORCID-id: 0000-0002-3481-1368
Vise andre og tillknytning
2017 (engelsk)Inngår i: Optics and lasers in engineering, ISSN 0143-8166, E-ISSN 1873-0302, Vol. 96, s. 94-106Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Digital image correlation has been routinelyused to measure full-field displacements in many areas of solid mechanics,including fracture mechanics. Accurate segmentation of the crack path is neededto study its interaction with the microstructure and stress fields, and studiesof crack behaviour, such as the effect of closure or residual stress infatigue, require data on its opening displacement. Such information can beobtained from any digital image correlation analysis of cracked components, butit collection by manual methods is quite onerous, particularly for massiveamounts of data. We introduce the novel application of Phase Congruency to detectand quantify cracks and their opening. Unlike other crack detection techniques,Phase Congruency does not rely on adjustable threshold values that require userinteraction, and so allows large datasets to be treated autonomously. Theaccuracy of the Phase Congruency based algorithm in detecting cracks isevaluated and compared with conventional methods such as Heaviside function fitting.As Phase Congruency is a displacementbased method, it does not suffer from thenoise intensification to which gradient-based methods (e.g. strain thresholding)are susceptible. Its application is demonstrated to experimental data forcracks in quasi-brittle (Granitic rock) and ductile (Aluminium alloy)materials.

sted, utgiver, år, opplag, sider
2017. Vol. 96, s. 94-106
Emneord [en]
Digital image correlation, Fracture mechanics, Crack, Phase congruency, Segmentation
HSV kategori
Identifikatorer
URN: urn:nbn:se:ri:diva-29946DOI: 10.1016/j.optlaseng.2017.04.010Scopus ID: 2-s2.0-85019010289OAI: oai:DiVA.org:ri-29946DiVA, id: diva2:1113929
Tilgjengelig fra: 2017-06-22 Laget: 2017-06-22 Sist oppdatert: 2023-05-25bibliografisk kontrollert

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