Evaluation of Reinforced Concrete Structures with Magnetic Method and ACO (Amplitude-Correlation-Offset) Decomposition.

ACO decomposition anisotropic magneto-resistance (AMR) sensor attributes extraction concrete inspection nondestructive evaluation NDE nondestructive testing NDT pattern recognition rebars reinforced concrete reinforcement bars detection signal processing

Journal

Materials (Basel, Switzerland)
ISSN: 1996-1944
Titre abrégé: Materials (Basel)
Pays: Switzerland
ID NLM: 101555929

Informations de publication

Date de publication:
12 Aug 2023
Historique:
received: 17 07 2023
revised: 09 08 2023
accepted: 10 08 2023
medline: 26 8 2023
pubmed: 26 8 2023
entrez: 26 8 2023
Statut: epublish

Résumé

The magnetic method is one of the very few nondestructive testing (NDT) techniques that provide the possibility to conduct area tests of reinforced concrete (RC) structures in a fast, cheap, and straightforward way. This paper aims to present a new approach to the simultaneous identification of rebars' diameter, alloy class, and thickness of the concrete cover tested with this method. Since rebars from different manufacturers may have different electromagnetic properties (standardization only for mechanical properties), preparing an effective and universal database is impossible. In this work, ACO decomposition is proposed, a new attributes extraction method designed to identify object parameters, even if it is impossible to collect a suitable training database (by pattern recognition and analysis of the deviation). Conducted tests prove that the ACO method enables accurate reflection of the waveform shape and limitation of attributes number to three or fewer (avoiding the curse of dimensionality). These properties, combined with the ability to analyze spatial components of magnetic induction (which only magnetic sensors provide), make the complex task of identification of three parameters more straightforward and the separation between the results received for different classes larger. This article presents the measurement results and the whole identification process.

Identifiants

pubmed: 37629880
pii: ma16165589
doi: 10.3390/ma16165589
pmc: PMC10456534
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : National Science Center
ID : 2021/41/N/ST7/02728

Références

Ultrasonics. 2018 Apr;85:31-38
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Materials (Basel). 2022 Jan 23;15(3):
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Auteurs

Paweł Karol Frankowski (PK)

Faculty of Electrical Engineering, West Pomeranian University of Technology in Szczecin, ul. Sikorskigo 37, 70-313 Szczecin, Poland.

Tomasz Chady (T)

Faculty of Electrical Engineering, West Pomeranian University of Technology in Szczecin, ul. Sikorskigo 37, 70-313 Szczecin, Poland.

Classifications MeSH