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Authors: G. Acciani ; G. Fornarelli ; D. Magarielli and D. Maiullari

Affiliation: Politecnico di Bari, Italy

ISBN: 978-989-8111-37-1

ISSN: 2184-4992

Keyword(s): Ultrasonic waveforms, Non-Destructive Techniques, Concrete Structure, Genetic algorithms, k-NN.

Related Ontology Subjects/Areas/Topics: Applications of Expert Systems ; Artificial Intelligence and Decision Support Systems ; Enterprise Information Systems ; Industrial Applications of Artificial Intelligence

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.

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Paper citation in several formats:
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 6: ICEIS, ISBN 978-989-8111-37-1, pages 231-234. DOI: 10.5220/0001692802310234

@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 6: ICEIS,},
year={2008},
pages={231-234},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001692802310234},
isbn={978-989-8111-37-1},
}

TY - CONF

JO - Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 6: 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

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