loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

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

Affiliation: Politecnico di Bari, Italy

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.238.235.181

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

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; ISSN 2184-4992, SciTePress, 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},
issn={2184-4992},
}

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
IS - 2184-4992
AU - Acciani, G.
AU - Fornarelli, G.
AU - Magarielli, D.
AU - Maiullari, D.
PY - 2008
SP - 231
EP - 234
DO - 10.5220/0001692802310234
PB - SciTePress