A neuro fuzzy approach is proposed to locate defects on reinforcing bars in concrete specimens applying eddy current-based mesurements. The relevant inverse problem is solved by means of a system which extracts informations on the specimen under test from the measurements and implements 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.
Defect reconstruction on reinforced concrete specimens / Buonsanti, M.; Morabito, Francesco Carlo; Calcagno, Salvatore; Versaci, Mario. - (2003), pp. 448-452. (Intervento presentato al convegno IASTED International Conference on Modelling, Identification and Control tenutosi a Innsbruck (Austria) nel 10-13 Febbraio 2003).
Defect reconstruction on reinforced concrete specimens
M. BUONSANTI;MORABITO, Francesco Carlo;CALCAGNO, SALVATORE;VERSACI, Mario
2003-01-01
Abstract
A neuro fuzzy approach is proposed to locate defects on reinforcing bars in concrete specimens applying eddy current-based mesurements. The relevant inverse problem is solved by means of a system which extracts informations on the specimen under test from the measurements and implements 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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
