Defects Reconstruction on Reinforced Concrete Specimens

M. Buonsanti, S. Calcagno, F.C. Morabito, and M. Versaci (Italy)


Slim Structures, Eddy-current Non Destructive Tests,Neuro-Fuzzy Systems, Non Linear Systems.


A Neuro-Fuzzy approach is proposed to locate defects on reinforcing bars in concrete specimens applying eddy current-based measurements. The relevant inverse problem is solved by means of a system which extracts information on the specimen under test from the measurements and implements a priori constraints to facilitate the detection of defect if any. The method exploits the concepts of fuzzy inference to localize and estimate the defect. A comparison with Neural Network estimators is presented.

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