Application of deep learning in damage classification of reinforced concrete bridges

Application of deep learning in damage classification of reinforced concrete bridges

Inspecting Reinforced Concrete (RC) Bridges is crucial to ensure their safety and perform essential maintenance. The current research introduces the knowledge base for applying deep learning to classify and detect RC bridges' five most common defects (cracks, corrosion, efflorescence, spalling,...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Mustafa Abubakr, Mohammed Rady, Khaled Badran, Sameh Youssef Mahfouz
Μορφή: Άρθρο
Γλώσσα:English
Έκδοση: Elsevier 2024-01-01
Σειρά:Ain Shams Engineering Journal
Θέματα:
Convolutional Neural Networks (CNNs)
RC
Condition assessment
Concrete defects
Image classification
Διαθέσιμο Online:http://www.sciencedirect.com/science/article/pii/S2090447923001867

Διαδίκτυο

http://www.sciencedirect.com/science/article/pii/S2090447923001867

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