Model and test verification on corrosion detection of steel strand based on metal magnetic memory magnetic flux leakage signal
1. China Merchants Chongqing Communications Research & Design Institute Co.， Ltd.， Chongqing 400067， China; 2. School of Public Administration， Chongqing Finance and Economics College， Chongqing 401320， China; 3. School of Civil Engineering， Chongqing Jiaotong University， Chongqing 400074， China; 4. Guangzhou Municipal Engineering Testing Co.， Ltd.， Guangzhou， Guangdong 510520， China
Abstract：The metal magnetic memory technology was introduced to detect the corrosion of steel strand as an important component of cablestayed bridge. Combined with the magnetic dipole model of defect magnetic flux leakage detection, the magnetic flux leakage model of steel strand corrosion defect was established, and the magnetic flux leakage signal finite element numerical simulation and the experimental verification were carried out. Through theoretical research, simulation analysis and experimental verification, the distribution and variation characteristics of magnetic flux leakage signal of steel strand corrosion defects were analyzed, and the discrimination criteria of magnetic flux leakage signal detection of steel strand corrosion was constructed. The results show that there is unique corresponding relationship between the corrosion degree of steel strand and the magnetic flux leakage signal, and the corrosion degree of steel strand can be determined by detecting the magnitude and change of magnetic flux leakage signal around the steel strand. The normalized peak value of magnetic induction intensity for magnetic flux leakage signal and the corrosion degree of steel strand present Boltzmann function distribution, which can be used as the characteristic quantity to judge the corrosion degree of steel strand.
李志刚， 马惠香， 周建庭， 赵亚宇， 张洪. 金属磁记忆漏磁信号检测钢绞线拉索锈蚀模型和试验[J]. 江苏大学学报（自然科学版）, 2022, 43(2): 230-234.
LI Zhigang， MA Huixiang， ZHOU Jianting， ZHAO Yayu， ZHANG Hong. Model and test verification on corrosion detection of steel strand based on metal magnetic memory magnetic flux leakage signal[J]. Journal of Jiangsu University(Natural Science Eidtion)
, 2022, 43(2): 230-234.
