Identification of steel bars immersed in reinforced concrete based on experimental results of eddy current testing and artificial neural network analysis

dc.contributorUniversidade Estadual Paulista (UNESP)
dc.creatorDe Alcantara, Naasson
dc.date2014-05-27T11:28:35Z
dc.date2016-10-25T18:45:02Z
dc.date2014-05-27T11:28:35Z
dc.date2016-10-25T18:45:02Z
dc.date2013-03-01
dc.date.accessioned2017-04-06T02:15:24Z
dc.date.available2017-04-06T02:15:24Z
dc.identifierNondestructive Testing and Evaluation, v. 28, n. 1, p. 58-71, 2013.
dc.identifier1058-9759
dc.identifier1477-2671
dc.identifierhttp://hdl.handle.net/11449/74702
dc.identifierhttp://acervodigital.unesp.br/handle/11449/74702
dc.identifier10.1080/10589759.2012.695783
dc.identifierWOS:000314677600005
dc.identifier2-s2.0-84874079002
dc.identifierhttp://dx.doi.org/10.1080/10589759.2012.695783
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/895462
dc.descriptionThis paper presents an experimental research on the use of eddy current testing (ECT) and artificial neural networks (ANNs) in order to identify the gauge and position of steel bars immersed in concrete structures. The paper presents details of the ECT probe and concrete specimens constructed for the tests, and a study about the influence of the concrete on the values of measured voltages. After this, new measurements were done with a greater number of specimens, simulating a field condition and the results were used to generate training and validation vectors for multilayer perceptron ANNs. The results show a high percentage of correct identification with respect to both, the gauge of the bar and of the thickness of the concrete cover. © 2013 Copyright Taylor and Francis Group, LLC.
dc.languageeng
dc.relationNondestructive Testing and Evaluation
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectartificial neural networks
dc.subjecteddy current testing
dc.subjectnon-destructive testing
dc.subjectreinforced concrete
dc.subjectConcrete cover
dc.subjectConcrete specimens
dc.subjectExperimental research
dc.subjectField conditions
dc.subjectMeasured voltages
dc.subjectMulti layer perceptron
dc.subjectNon destructive testing
dc.subjectSteel bars
dc.subjectBars (metal)
dc.subjectConcrete construction
dc.subjectEddy current testing
dc.subjectGages
dc.subjectNeural networks
dc.subjectReinforced concrete
dc.subjectConcretes
dc.titleIdentification of steel bars immersed in reinforced concrete based on experimental results of eddy current testing and artificial neural network analysis
dc.typeOtro


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