基于交流电磁场的高铁钢轨表面裂纹无损检测研究及展望OA北大核心CSTPCD

Aiming at the problem of rolling contact fatigue(RCF)cracks on the surface of high-speed rails,the formation mechanism and propagation rule of rolling contact fatigue crack on rail surface are analyzed,and the non-destructive testing and characterization methods of high-speed rail crack are systematically summarized.Focusing on the Alternating Current Field Measurement(ACFM)technique,this paper focuses on the development,research status,results from theoretical research and existing problems of ACFM technology,summarizes the characteristics and applications of ACFM technology,and expounds the advantages of ACFM measurement method for the accurate quantitative characterization of rail surface cracks through analyses and comparisons with other non-destructive testing methods.The results show that the pocket depth error of non-uniform crack can be reduced to 5.5％,the vertical depth error 7.1％,and the crack cluster error 7.1％by integrating the ACFM signal compensation algorithm.The crack size of rail RCF is accurately characterized by artificial neural network training,and the error of the final calculation is less than 10％.The development trend of non-destructive detection of rail surface cracks based on artificial intelligence technology is further discussed,and relevant suggestions and prospects are put forward for the subsequent research on the detection and characterization of RCF cracks on rail surface by ACFM technology.