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Eddy current testing for covering thickness and diameter of reinforcement in concrete
It has been known that eddy current signal amplitude corresponds to covering thickness of concrete, while phase corresponds to reinforcement diameter, respectively. On the other hand, eddy current testing absolutely responds to any changes of electromagnetic properties of reinforcement, such as materials, shapes and sizes of reinforcement. In this study, estimation error for covering thickness and diameter by eddy current testing has been investigated. Sampled reinforcements manufactured by some fabricators were examined. Then high order approximating polynomials, which represent relations between covering thickness versus signal amplitude and reinforcement diameter versus phase, were established by applying least squares method. Then, data obtained from other sampled reinforcements were evaluated by applying the polynomials. The results show that estimations were not much affected by dispersions of materials. Artificial neural networks have been employed for the inversion of eddy current data to obtain covering thickness and diameter of reinforcements. The results show that the neural networks are useful.
Eddy current testing for covering thickness and diameter of reinforcement in concrete
It has been known that eddy current signal amplitude corresponds to covering thickness of concrete, while phase corresponds to reinforcement diameter, respectively. On the other hand, eddy current testing absolutely responds to any changes of electromagnetic properties of reinforcement, such as materials, shapes and sizes of reinforcement. In this study, estimation error for covering thickness and diameter by eddy current testing has been investigated. Sampled reinforcements manufactured by some fabricators were examined. Then high order approximating polynomials, which represent relations between covering thickness versus signal amplitude and reinforcement diameter versus phase, were established by applying least squares method. Then, data obtained from other sampled reinforcements were evaluated by applying the polynomials. The results show that estimations were not much affected by dispersions of materials. Artificial neural networks have been employed for the inversion of eddy current data to obtain covering thickness and diameter of reinforcements. The results show that the neural networks are useful.
Eddy current testing for covering thickness and diameter of reinforcement in concrete
Wirbelstromprüfung der Bedeckungsdicke und des Durchmessers von Betonbewehrungen
Koido, J. (author) / Okubo, T. (author) / Hoshikawa, H. (author)
1992
7 Seiten, 12 Bilder, 2 Tabellen, 5 Quellen
Conference paper
English
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