Abstract：To investigate the relationship between the broken wire of galvanized steel wire and the self-magnetic flux leakage signal of metal magnetic memory, three factors of magnetic pole direction, sheath and sensor spacing were considered. The universal testing machine tensile tests were carried out on 15 galvanized steel strands, and the magnetic signals of the piece were tested by magnetometer. The magnetic signal variation of the whole process of galvanized steel wire strands specimen was obtained from the initial stretching to the broken wire, and the effects of various factors on the magnetic signal were analyzed. The results show that the load-displacement curve of galvanized steel strands can be substantially divided into four stages. At each stage of transition, each flux leakage signal component has significant change rule. The normal component of By and the tangential component parallel to the strand of Bz change abruptly, and the tangential component perpendicular to the strand of Bx is decreased steadily. For the detecting and health monitoring of cable-stayed bridges based on self-magnetic flux leakage, the variation law of magnetic signal components can be obtained through the processing analysis, and the force stage and broken wire condition of the cable can be determined.
WU X, XIAO R C. Optimization of cable force for cable-stayed bridges with mixed stiffening girders based on genetic algorithm［J］. Journal of Jiangsu University(Natural Science Edition), 2014, 35(6):722-726. (in Chinese)
WU X, XIAO R C. Tension force estimation for parallel strand cable based on parameter identification method［J］. Journal of Jiangsu University(Natural Science Edition), 2015, 36(5):583-587. (in Chinese)
［3］
JIANG W G, YAN L J. A concise finite element model for the analysis of simple wire strand with a broken helical wire［J］. Advanced Materials Research, 2012,446／447／448／449:745-750.
［4］
XU J, WU X J, SUN P F. Detecting broken-wire flaws at multiple locations in the same wire of prestressing strands using guided waves［J］. Ultrasonics, 2013, 53(1):150-156.
XIONG H F, WU X J, XU J, et al. Experiment on propagation characteristics of ultrasonic guided waves in steel strands based on fractured wires detection［J］. Nondestructive Testing, 2011, 33(5): 11-14. (in Chinese)
［6］
CORAMIK M. A new measurement system using magnetic flux leakage method in pipeline inspection［J］. Measurement, 2018, 123:163-174.
［7］
ZHANG H, LIAI L, ZHAO R Q, et al. The non-destructive test of steel corrosion in reinforced concrete bridges using a micro-magnetic sensor［J］. Sensors, 2016, 16(9):1439.
SU S Q, MA X P, WANG W, et al. Research on magneto-mechanical coupling on tensile monofilament steel wire rope based on ANSYS finite element simulation［J］. Journal of Xi′an University of Architecture ＆ Technology (Natural Science Edition)， 2017,49(3):309-316. (in Chinese)
WANG W, REN G C, SU S Q, et al. Experimental research on the fully change process of magnetic memory signal under tension loading for single steel wire with defect［J］. Journal of Materials Science ＆ Engineering, 2018(1):66-71. (in Chinese)
［10］
LIU B, HE L Y, ZHANG H, et al. The axial crack testing model for long distance oil-gas pipeline based on magnetic flux leakage internal inspection method［J］. Measurement, 2017, 103: 275-282.
［11］
LIU B, CAO Y, ZHANG H, et al. Weak magnetic flux leakage: a possible method for studying pipeline defects located either inside or outside the structures［J］. Ndt ＆ E International, 2015, 74: 81-86.
LIU Z F, FEI Z Y, HUANG H H, et al. Study on strengthening mechanism of excitation magnetic field to stress-magnetization coupling effects［J］. China Mecha-nical Engineering, 2018, 29(9): 1108-1114. (in Chinese)
2019, Vol. 40 
