GENETIC FEATURE SELECTION AND STATISTICAL CLASSIFICATION OF VOIDS IN CONCRETE STRUCTURE

G. Acciani, G. Fornarelli, D. Magarielli, D. Maiullari

Abstract

In this work simulated ultrasonic waveforms in a concrete specimen obtained by a software based on finite element method were used to develop an automatic inspection method. A piezoelectric transducer is used to generate stress waves that are reflected by voids. Then the waves are received by another transducer set at a fixed distance from the first one on the same specimen surface. Time and frequency features has been extracted from the waveforms, the most significant features have been chosen by a genetic feature selection and the classification performances were estimated referring to a k-NN classifier.

References

  1. Berriman, J. R., Hutchins, D. A., Neild, A., Gan, T. H., Purnell, P., 2006. “The application of time-frequency analysis to the air-coupled ultrasonic testing of concrete”, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, Vol. 53, pp. 768 - 776.
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  3. Acciani, G., Brunetti, G., Chiarantoni, E., Fornarelli, G., 2006, “Automatic Evaluation of Flaws in Pipes by means of Ultrasonic Waveforms and Neural Networks”, International Joint Conference on Neural Networks Sheraton Vancouver Wall Centre Hotel, Vancouver, BC, Canada, pp. 892 - 898.
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Paper Citation


in Harvard Style

Acciani G., Fornarelli G., Magarielli D. and Maiullari D. (2008). GENETIC FEATURE SELECTION AND STATISTICAL CLASSIFICATION OF VOIDS IN CONCRETE STRUCTURE . In Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-8111-37-1, pages 231-234. DOI: 10.5220/0001692802310234


in Bibtex Style

@conference{iceis08,
author={G. Acciani and G. Fornarelli and D. Magarielli and D. Maiullari},
title={GENETIC FEATURE SELECTION AND STATISTICAL CLASSIFICATION OF VOIDS IN CONCRETE STRUCTURE},
booktitle={Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2008},
pages={231-234},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001692802310234},
isbn={978-989-8111-37-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - GENETIC FEATURE SELECTION AND STATISTICAL CLASSIFICATION OF VOIDS IN CONCRETE STRUCTURE
SN - 978-989-8111-37-1
AU - Acciani G.
AU - Fornarelli G.
AU - Magarielli D.
AU - Maiullari D.
PY - 2008
SP - 231
EP - 234
DO - 10.5220/0001692802310234