Convolutional neural networks (CNNs)-based multi-category damage detection and recognition of high-speed rail (HSR) reinforced concrete (RC) bridges using test images
Engineering Structures(2023)
摘要
•Based on HSR bridge damage pictures, bridge damage diseases are categorized into three major categories.•Train AlexNet convolutional neural network by migration learning technique.•Constructed an automatic bridge structure damage recognition model.
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关键词
high-speed rail (HSR) bridges,reinforced concrete (RC) multi-category damage,Non-destructive testing,Damage detection,convolutional neural networks (CNNs),Deep learning (DL)
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