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Quantitative Study on Corrosion of Steel Strands Based on Self-Magnetic Flux Leakage

This paper proposed a new computing method to quantitatively and non-destructively determine the corrosion of steel strands by analyzing the self-magnetic flux leakage (SMFL) signals from them. The magnetic dipole model and three growth models (Logistic model, Exponential model, and Linear model) we...

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Detalles Bibliográficos
Autores principales: Xia, Runchuan, Zhou, Jianting, Zhang, Hong, Liao, Leng, Zhao, Ruiqiang, Zhang, Zeyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5982395/
https://www.ncbi.nlm.nih.gov/pubmed/29724025
http://dx.doi.org/10.3390/s18051396
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author Xia, Runchuan
Zhou, Jianting
Zhang, Hong
Liao, Leng
Zhao, Ruiqiang
Zhang, Zeyu
author_facet Xia, Runchuan
Zhou, Jianting
Zhang, Hong
Liao, Leng
Zhao, Ruiqiang
Zhang, Zeyu
author_sort Xia, Runchuan
collection PubMed
description This paper proposed a new computing method to quantitatively and non-destructively determine the corrosion of steel strands by analyzing the self-magnetic flux leakage (SMFL) signals from them. The magnetic dipole model and three growth models (Logistic model, Exponential model, and Linear model) were proposed to theoretically analyze the characteristic value of SMFL. Then, the experimental study on the corrosion detection by the magnetic sensor was carried out. The setup of the magnetic scanning device and signal collection method were also introduced. The results show that the Logistic Growth model is verified as the optimal model for calculating the magnetic field with good fitting effects. Combined with the experimental data analysis, the amplitudes of the calculated values (B(xL)(x,z) curves) agree with the measured values in general. This method provides significant application prospects for the evaluation of the corrosion and the residual bearing capacity of steel strand.
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spelling pubmed-59823952018-06-05 Quantitative Study on Corrosion of Steel Strands Based on Self-Magnetic Flux Leakage Xia, Runchuan Zhou, Jianting Zhang, Hong Liao, Leng Zhao, Ruiqiang Zhang, Zeyu Sensors (Basel) Article This paper proposed a new computing method to quantitatively and non-destructively determine the corrosion of steel strands by analyzing the self-magnetic flux leakage (SMFL) signals from them. The magnetic dipole model and three growth models (Logistic model, Exponential model, and Linear model) were proposed to theoretically analyze the characteristic value of SMFL. Then, the experimental study on the corrosion detection by the magnetic sensor was carried out. The setup of the magnetic scanning device and signal collection method were also introduced. The results show that the Logistic Growth model is verified as the optimal model for calculating the magnetic field with good fitting effects. Combined with the experimental data analysis, the amplitudes of the calculated values (B(xL)(x,z) curves) agree with the measured values in general. This method provides significant application prospects for the evaluation of the corrosion and the residual bearing capacity of steel strand. MDPI 2018-05-02 /pmc/articles/PMC5982395/ /pubmed/29724025 http://dx.doi.org/10.3390/s18051396 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Xia, Runchuan
Zhou, Jianting
Zhang, Hong
Liao, Leng
Zhao, Ruiqiang
Zhang, Zeyu
Quantitative Study on Corrosion of Steel Strands Based on Self-Magnetic Flux Leakage
title Quantitative Study on Corrosion of Steel Strands Based on Self-Magnetic Flux Leakage
title_full Quantitative Study on Corrosion of Steel Strands Based on Self-Magnetic Flux Leakage
title_fullStr Quantitative Study on Corrosion of Steel Strands Based on Self-Magnetic Flux Leakage
title_full_unstemmed Quantitative Study on Corrosion of Steel Strands Based on Self-Magnetic Flux Leakage
title_short Quantitative Study on Corrosion of Steel Strands Based on Self-Magnetic Flux Leakage
title_sort quantitative study on corrosion of steel strands based on self-magnetic flux leakage
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5982395/
https://www.ncbi.nlm.nih.gov/pubmed/29724025
http://dx.doi.org/10.3390/s18051396
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