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)

引用 14|浏览26
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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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