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PROCEEDINGS OF THE TENTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL STRUCTURES TECHNOLOGY
Edited by: B.H.V. Topping, J.M. Adam, F.J. Pallarés, R. Bru and M.L. Romero
Computational Simulation of a Non-Destructive Testing Technique for Steel Bar Sizing in Concrete Structures using Eddy Current Testing and Neural Networks
N.P. de Alcantara Jr1, T. Marques1, D.C. Costa1, D. Guedes1, G.P. Sanchis2 and P.S. da Silva2
1Electrical Engineering Department, 2Civil Engineering Department,
N.P. de Alcantara Jr, T. Marques, D.C. Costa, D. Guedes, G.P. Sanchis, P.S. da Silva, "Computational Simulation of a Non-Destructive Testing Technique for Steel Bar Sizing in Concrete Structures using Eddy Current Testing and Neural Networks", in B.H.V. Topping, J.M. Adam, F.J. Pallarés, R. Bru, M.L. Romero, (Editors), "Proceedings of the Tenth International Conference on Computational Structures Technology", Civil-Comp Press, Stirlingshire, UK, Paper 61, 2010. doi:10.4203/ccp.93.61
Keywords: non-destructive testing, eddy current test, artificial neural networks, finite element methods, reinforced concrete.
The inspection of the constitutive elements (steel bars) of reinforced concrete structures is a particularly difficult problem in non-destructive testing (NDT) area, because they are completely immersed in an opaque and solid media. In the past decades several NDT techniques have been used in the evaluation of the general conditions of reinforced concrete, in particular the eddy current testing (ECT) .
The paper is an investigative study in order to develop a methodology of NDT for reinforced concrete structures using ECT techniques and artificial neural networks. These steps were followed in this work:
Electromagnetic devices have been produced and measurements with real concrete structures are in progress.
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