同济大学学报（自然科学版）2025，Vol.53Issue(10)：1595-1605,11.DOI:10.11908/j.issn.0253-374x.24157
钢轨滚动接触疲劳裂纹形态参数的交流电磁场响应规律
Response Characteristics Alternative Current Field of to Morphological Parameters of Rail Rolling Contact Fatigue Crack
摘要
Abstract
To investigate the relationship between the magnetic field response above the rail surface and the spatial morphology of rolling contact fatigue(RCF)crack on the rail surface in alternative current field measurement(ACFM),the surface opening length,internal angle,and ellipse ratio range of RCF crack under different gross passing loads were determined by combining field visual observation,metallographic observation,and computer tomography(CT)scanning of rail with RCF crack.An ACFM simulation model for rail crack was developed to analyze the ACFM response of different crack morphology parameters,and the magnetic field response was fitted to express the crack spatial morphology parameters.The results show that the ACFM response of RCF crack is comprehensively affected by each semi-elliptic parameter of the crack and can be described by the function model.The determination coefficient of the description function is greater than 0.999 8,the sum of squares error is below 1×10-4,and the mean square error is less than 1.4×10-3.The calculated results of the function model are in good agreement with the ACFM response.Overall,the ACFM response characteristics are less affected by the internal angle,but the influence gradually increases as the internal angle decreases.The ACFM response characteristics vary linearly with the crack surface opening length,and exponentially or as a higher order multinomial function with the elliptic ratio.关键词
交流电磁场检测/钢轨滚动接触疲劳裂纹/半椭圆参数/阻抗边界条件Key words
alternative current field measurement(ACFM)/rolling contact fatigue(RCF)cracks of rail/semi-ellipse parameters/impedance boundary condition分类
交通工程引用本文复制引用
王驰,周宇,翁之意,李骏鹏..钢轨滚动接触疲劳裂纹形态参数的交流电磁场响应规律[J].同济大学学报（自然科学版）,2025,53(10):1595-1605,11.基金项目
中国国家铁路集团有限公司科技研究开发计划项目(L2021G002),中央高校基本科研业务费(2022-5-ZD-04),国家自然科学基金(51878661),浙江省交通运输厅科技计划项目(2023024) （L2021G002）
