Evaluation of Bolt Corrosion Degree Based on Non-Destructive Testing and Neural Network
Guang Han,
Shuangcheng Lv,
Zhigang Tao
et al.
Abstract:Anchor bolt corrosion is a complex and dynamic system, and the prediction and identification of its corrosion degree are of significant importance for engineering safety. Currently, non-destructive testing using ultrasonic guided waves can be employed for its detection. Building upon the analysis of anchor bolt corrosion mechanisms, this paper proposes a method for evaluating the corrosion degree of anchor bolts based on multi-scale convolutional neural networks (MS-CNNs) that address the multi-mode propagatio… Show more
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