Chi Dazhao, Wang Ziming, Liu Haichun
State Key Laboratory of Precision Welding & Joining of Materials and Structures, Harbin Institute of Technology, Harbin 150001, China.
PipeChina Engineering Quality Supervision and Inspection Company, Beijing 100013, China.
Materials (Basel). 2025 Apr 24;18(9):1925. doi: 10.3390/ma18091925.
Destructive testing is a common method for obtaining tensile strength properties of welds. However, it is inconvenient to characterize the overall weld, and it cannot be applied to in-service structures. Non-destructive testing and evaluation (NDT&E) methods have the potential ability of overcoming these limitations. In this paper, an ultrasonic-based non-destructive evaluating method for weld tensile strength was proposed. Multiple sets of fully automatic welded X80 steel pipes were prepared. Acoustic signals from a total of 240 measurement points of the welds were collected, and ultrasonic characteristic parameters were subtracted through signal processing. Subsequently, tensile strength values were obtained through destructive testing. Using the ultrasonic and tensile test databases, a multivariate regression-based (MLR) non-destructive evaluation model was established to predict the tensile strength value. Based on this, in order to rapidly characterize the welds, a grading evaluation model was introduced. The grading evaluation result of the 240 measurement points indicates that the accuracy of the proposed method is 76.3%. In order to improve accuracy, a deep learning-based method could be used in the future.
破坏性试验是获取焊缝拉伸强度特性的常用方法。然而，它在表征整个焊缝时不方便，并且不能应用于在用结构。无损检测与评估（NDT&E）方法具有克服这些局限性的潜在能力。本文提出了一种基于超声的焊缝拉伸强度无损评估方法。制备了多组全自动焊接的X80钢管。采集了焊缝总共240个测量点的声信号，并通过信号处理提取超声特征参数。随后，通过破坏性试验获得拉伸强度值。利用超声和拉伸试验数据库，建立了基于多元回归（MLR）的无损评估模型来预测拉伸强度值。在此基础上，为了快速表征焊缝，引入了分级评估模型。对240个测量点的分级评估结果表明，该方法的准确率为76.3%。为了提高准确率，未来可以使用基于深度学习的方法。
