Next Article in Journal
Comparison of Resonance Frequency Analysis and of Quantitative Ultrasound to Assess Dental Implant Osseointegration
Next Article in Special Issue
Response of a Bell–Bloom Magnetometer to a Magnetic Field of Arbitrary Direction
Previous Article in Journal
Assessment of Performance of the Industrial Process of Bulk Vacuum Packaging of Raw Meat with Nondestructive Optical Oxygen Sensing Systems
Previous Article in Special Issue
Recognition of Broken Wire Rope Based on Remanence using EEMD and Wavelet Methods
Open AccessArticle

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

1
College of Civil Engineering, Chongqing Jiaotong University, Chongqing 400074, China
2
School of Materials Science and Engineering, Chongqing Jiaotong University, Chongqing 400074, China
3
Guizhou Expressway Group Co., Ltd., Guiyang 550000, China
*
Author to whom correspondence should be addressed.
Sensors 2018, 18(5), 1396; https://doi.org/10.3390/s18051396
Received: 2 March 2018 / Revised: 19 April 2018 / Accepted: 28 April 2018 / Published: 2 May 2018
(This article belongs to the Special Issue Magnetic Sensors)
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 (BxL(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. View Full-Text
Keywords: corrosion; steel strand; self-magnetic flux leakage; magnetic dipole model; logistic growth model corrosion; steel strand; self-magnetic flux leakage; magnetic dipole model; logistic growth model
Show Figures

Figure 1

MDPI and ACS Style

Xia, R.; Zhou, J.; Zhang, H.; Liao, L.; Zhao, R.; Zhang, Z. Quantitative Study on Corrosion of Steel Strands Based on Self-Magnetic Flux Leakage. Sensors 2018, 18, 1396.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map

1
Back to TopTop