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<p>In the realm of automotive lightweight design, high-strength steel offers the dual benefits of cost efficiency and social welfare by enabling weight reduction without incurring additional expenses. However, high-strength steel plates are prone to fatigue damage after being subjected to repeated loads, which poses a significant risk to the stability and longevity of vehicle performance. As a result, the health monitoring and life assessment of high-strength steel components are particularly crucial. This research leverages nonlinear ultrasonic guided wave technology to conduct both online and offline experiments on Q460 high-strength steel, delving into the correlation between nonlinear ultrasonic parameters and the fatigue life of the material. The experiments indicate that nonlinear ultrasonic parameters initially rise and then fall as the fatigue life increases, reaching a peak when the fatigue life is at 60%. Moreover, based on the relationship model between nonlinear ultrasonic parameters and fatigue life, a preliminary method for assessing the fatigue remaining life has been established. This method utilizes the material's nonlinear ultrasonic parameters to predict its remaining fatigue life. The insights gained from this study provide a viable technical solution for the damage assessment and life prediction of Q460 high-strength steel.</p>

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Research on Fatigue Detection and Remaining Life Prediction of High-Strength Steel Based on Nonlinear Guided Waves

  • 期刊论文

  • 发表日期：

    2025年5月14日

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  • Silong Quan,
  • Yuhua Zhang

摘要

In the realm of automotive lightweight design, high-strength steel offers the dual benefits of cost efficiency and social welfare by enabling weight reduction without incurring additional expenses. However, high-strength steel plates are prone to fatigue damage after being subjected to repeated loads, which poses a significant risk to the stability and longevity of vehicle performance. As a result, the health monitoring and life assessment of high-strength steel components are particularly crucial. This research leverages nonlinear ultrasonic guided wave technology to conduct both online and offline experiments on Q460 high-strength steel, delving into the correlation between nonlinear ultrasonic parameters and the fatigue life of the material. The experiments indicate that nonlinear ultrasonic parameters initially rise and then fall as the fatigue life increases, reaching a peak when the fatigue life is at 60%. Moreover, based on the relationship model between nonlinear ultrasonic parameters and fatigue life, a preliminary method for assessing the fatigue remaining life has been established. This method utilizes the material's nonlinear ultrasonic parameters to predict its remaining fatigue life. The insights gained from this study provide a viable technical solution for the damage assessment and life prediction of Q460 high-strength steel.