De Alcantara, N. P. [UNESP]Gasparini, M. E L [UNESP]2014-05-272014-05-272005-12-01PIERS 2005 - Progress in Electromagnetics Research Symposium, Proceedings, p. 428-431.http://hdl.handle.net/11449/68593This work proposes a methodology for non destructive testing (NDT) of reinforced concrete structures, using superficial magnetic fields and artificial neural networks, in order to identify the size and position of steel bars, embedded into the concrete. For the purposes of this paper, magnetic induction curves were obtained by using a finite element program. Perceptron Multilayered (PML) ANNs, with Levemberg-Marquardt training algorithm were used. The results presented very good agreement with the expect ones, encouraging the development of real systems based upon the proposed methodology.428-431engBackpropagationBars (metal)Building materialsComposite beams and girdersConcrete buildingsConcrete constructionConcrete testingElectric fault locationKetonesMagnetic field measurementMagnetic fieldsNondestructive examinationPiersReinforced concreteSteelSteel testingArtificial neural networksFinite element programsMagnetic inductionsMultilayeredNon destructive testingPerceptronReal systemsReinforced concrete structuresSteel barsTraining algorithmsNeural networksTrabalho apresentado em evento10.2529/PIERS041210092825Acesso aberto2-s2.0-479490911432-s2.0-47949091143.pdf