邹文龙,罗宁,彭康鑫,等. 基于弱磁法的管道疲劳裂纹磁信号特征与损伤评估[J]. 失效分析与预防,2026,21(4):347-357. doi: 10.3969/j.issn.1673-6214.2026.04.006
    引用本文: 邹文龙,罗宁,彭康鑫,等. 基于弱磁法的管道疲劳裂纹磁信号特征与损伤评估[J]. 失效分析与预防,2026,21(4):347-357. doi: 10.3969/j.issn.1673-6214.2026.04.006
    ZOU Wenlong,LUO Ning,PENG Kangxin,et al. Magnetic signal characteristics and damage assessment of pipeline fatigue cracks based on the weak magnetic field method[J]. Failure analysis and prevention,2026,21(4):347-357. doi: 10.3969/j.issn.1673-6214.2026.04.006
    Citation: ZOU Wenlong,LUO Ning,PENG Kangxin,et al. Magnetic signal characteristics and damage assessment of pipeline fatigue cracks based on the weak magnetic field method[J]. Failure analysis and prevention,2026,21(4):347-357. doi: 10.3969/j.issn.1673-6214.2026.04.006

    基于弱磁法的管道疲劳裂纹磁信号特征与损伤评估

    Magnetic Signal Characteristics and Damage Assessment of Pipeline Fatigue Cracks Based on the Weak Magnetic Field Method

    • 摘要: 经典的磁荷模型未考虑裂纹壁厚方向尖端应力的影响,降低了对疲劳裂纹的检测精度。本文将尖端应力累积现象体现到缺陷侧壁面磁荷的重新分配,建立了疲劳裂纹磁力学分析模型,研究了循环载荷作用下疲劳裂纹扩展瞬间以及演化过程中弱磁信号特征;综合应力比、载荷频率、裂纹尺寸、切向分量拐点特征以及法向分量磁信号演化率By(N)提出了疲劳损伤因子D,用于表征疲劳损伤程度和损伤阶段。结果表明:改进模型在考虑应力损伤后,法向和切向分量峰值分别提升了56.9%和90.7%,能更好地表征循环载荷作用下裂纹扩展前后弱磁信号变化规律。切向分量在裂纹开始扩展以及扩展至50%壁厚时出现双拐点特征,法向分量随循环加载次数整体单调增加。研究发现,通过疲劳损伤因子D可判别管道损伤阶段:当0<D<0.006时,裂纹未扩展;当0.006<D<0.250时,裂纹位于50%壁厚以内;当D>0.250时,裂纹位于50%壁厚至疲劳失效状态之间。

       

      Abstract: The classical magnetic charge model overlooks the influence of stresses at the crack tip along the wall thickness direction, which compromises its accuracy in fatigue crack detection. To address this, we incorporate the phenomenon of stress accumulation at the crack tip into a redistribution model of magnetic charges on the defect sidewall, thereby establishing an enhanced magneto-mechanical model for fatigue crack analysis. This model is used to investigate the characteristics of weak magnetic signals both at the instant of crack propagation and throughout the crack evolution process under cyclic loading. Furthermore, a fatigue damage factor D is proposed by synthesizing the stress ratio, loading frequency, crack size, inflection features of the tangential magnetic component, and the evolution rate of the normal component, By(N). This factor serves to characterize both the degree and stage of fatigue damage. Results show that the improved model, which accounts for stress effects, increases the peak values of the normal and tangential magnetic components by 56.9% and 90.7%, respectively, and more accurately captures the variation in weak magnetic signals before and after crack extension under cyclic loading. The tangential component exhibits a double-inflection-point feature at crack initiation and when the crack extends to 50% of the wall thickness, whereas the normal component increases monotonically with the number of loading cycles. The proposed fatigue damage factor D can effectively identify the damage stage in pipelines: 0<D<0.006 indicates no crack propagation; 0.006<D<0.250 corresponds to a crack depth within 50% of the wall thickness; D>0.250 signifies a crack depth ranging from 50% of the wall thickness to the point of fatigue failure.

       

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