Corrosion non-destructive testing of loaded steel strand based on self-magnetic flux leakage effect

ABSTRACT The metal magnetic memory is used to detect the micro damage of structure based on the SMFL (self-magnetic flux leakage) effect, but it lacks an effective comprehensive diagnosis index suitable for the ferromagnetic material. In this paper, steel strand specimens were tensioned at different force levels, and the experimental study on the corrosion detection was carried out. Besides the monitoring analysis of the cable force, the initial structural magnetic field ΔBx 0 and the surface SMFL signals Bx (α) induced by corrosion were both analysed. The results show that ΔBx 0 curves of steel strand material present the periodic fluctuation. Considering ΔBx 0 and measuring distance z, the proposed dimensionless damage analysis index X can be used for the quantitative research of corrosion diagnosis. The small influence of the cable force on index X is also illustrated. Moreover, the strong correlation that exists between the average maximum index and the corrosion ratio α is well fitted by the three-order polynomial curves.

[1]  Ying Wang,et al.  A multi-scale corrosion fatigue damage model of high-strength bridge wires , 2020 .

[2]  Hongpan Niu,et al.  A method for identifying geometrical defects and stress concentration zones in MMM technique , 2019, NDT & E International.

[3]  Airong Chen,et al.  Vibration characteristics identification of ultra-long cables of a cable-stayed bridge in normal operation based on half-year monitoring data , 2019, Structure and Infrastructure Engineering.

[4]  Bin Wu,et al.  A comparative study between magnetic field distortion and magnetic flux leakage techniques for surface defect shape reconstruction in steel plates , 2019, Sensors and Actuators A: Physical.

[5]  J. Ou,et al.  Vibration Mitigation of Suspension Bridge Suspender Cables Using a Ring-Shaped Tuned Liquid Damper , 2019, Journal of Bridge Engineering.

[6]  Zeyu Zhang,et al.  Experimental Study on Corrosion of Unstressed Steel Strand based on Metal Magnetic Memory , 2019, KSCE Journal of Civil Engineering.

[7]  K. Yao,et al.  Nondestructive Evaluation of Contact Damage of Ferromagnetic Materials Based on Metal Magnetic Memory Method , 2019, Experimental Techniques.

[8]  Hai Zhang,et al.  Quantitative study on the propagation characteristics of MMM signal for stress internal detection of long distance oil and gas pipeline , 2018, NDT & E International.

[9]  O. Stankevych,et al.  Estimation of effect of hydrogen on the parameters of magnetoacoustic emission signals , 2018 .

[10]  Hong Zhang,et al.  Quantitative Study on Corrosion of Steel Strands Based on Self-Magnetic Flux Leakage , 2018, Sensors.

[11]  Kunshan Xu,et al.  Theoretical investigation of metal magnetic memory testing technique for detection of magnetic flux leakage signals from buried defect , 2018 .

[12]  Zhifeng Liu,et al.  Characterizing the magnetic memory signals on the surface of plasma transferred arc cladding coating under fatigue loads , 2017 .

[13]  Sheng Bao,et al.  Correlation of stress concentration degree with residual magnetic field of ferromagnetic steel subjected to tensile stress , 2017 .

[14]  Xiaojing Zheng,et al.  A magnetomechanical model for the magnetic memory method , 2017 .

[15]  J. Ruzzante,et al.  Magnetic Barkhausen noise and magneto acoustic emission in pressure vessel steel , 2017 .

[16]  Simon Foucault,et al.  A Cable-Suspended Intelligent Crane Assist Device for the Intuitive Manipulation of Large Payloads , 2016, IEEE/ASME Transactions on Mechatronics.

[17]  Mehrdad R. Kermani,et al.  Design and Performance Evaluation of a Prototype MRF-Based Haptic Interface for Medical Applications , 2016, IEEE/ASME Transactions on Mechatronics.

[18]  Ben Wang,et al.  Quantitative metal magnetic memory reliability modeling for welded joints , 2016 .

[19]  Zhifeng Liu,et al.  Stress concentration impact on the magnetic memory signal of ferromagnetic structural steel , 2014 .

[20]  G. Yao,et al.  Experimental Method of Corrosion Fatigue Behaviors for Steel Strand under Corrosive Environment and Cycle Loading , 2014 .

[21]  Ding Hong-sheng,et al.  Research on the stress-magnetism effect of ferromagnetic materials based on three-dimensional magnetic flux leakage testing , 2014 .

[22]  J C Leng,et al.  Dipole modelling of metal magnetic memory for V-notched plates , 2013 .

[23]  José R. Martí-Vargas,et al.  Strand bond performance in prestressed concrete accounting for bond slip , 2013 .

[24]  Yi Yong Huang,et al.  Modeling and Analysis of Joint Motion of the Rope and Trolley in Crane System , 2012 .

[25]  Reiner Saul,et al.  Wrapping with Butyl Rubber Tapes—An Innovative Corrosion Protection for Bridge Cables , 2012 .

[26]  Hui Li,et al.  Monitoring and Failure Analysis of Corroded Bridge Cables under Fatigue Loading Using Acoustic Emission Sensors , 2012, Sensors.

[27]  Z. D. Wang,et al.  Experimental Research on Metal Magnetic Memory Method , 2012 .

[28]  K. M. Mahmoud,et al.  Fracture strength for a high strength steel bridge cable wire with a surface crack , 2007 .

[29]  Yi-Qing Ni,et al.  Multi-stage identification scheme for detecting damage in cable-stayed Kap Shui Mun Bridge , 2002 .

[30]  Jong-jin Park,et al.  Slab behavior and approximation of transverse strain increase due to the change of support conditions from rigid to elastic supports , 1997 .

[31]  W. Wasserbäch.  Non-Linear Elastic Behaviour and Third-Order Elastic Constants of a Roller-Bearing Steel and Some Standard Steels , 1991 .

[32]  Perry P. Gao,et al.  Weld cracks nondestructive testing based on magneto-optical imaging under alternating magnetic field excitation , 2019, Sensors and Actuators A: Physical.

[33]  Bin Liu,et al.  Quantitative study of magnetic memory signal characteristic affected by external magnetic field , 2019, Measurement.