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Civil and Environmental Engineering
Machine Learning; Deep Learning; Convolutional Neural Network; Damage Detection; Damage Localization; Structural Health Monitoring; Image Processing; Signal Processing; Vibration; Concrete structures.
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Full-Text Articles in Computational Engineering
Classification, Localization, And Quantification Of Structural Damage In Concrete Structures Using Convolutional Neural Networks, Majdi Flah
Electronic Thesis and Dissertation Repository
Applications of Machine Learning (ML) algorithms in Structural Health Monitoring (SHM) have recently become of great interest owing to their superior ability to detect damage in engineering structures. ML algorithms used in this domain are classified into two major subfields: vibration-based and image-based SHM. Traditional condition survey techniques based on visual inspection have been the most widely used for monitoring concrete structures in service. Inspectors visually evaluate defects based on experience and engineering judgment. However, this process is subjective, time-consuming, and hampered by difficult access to numerous parts of complex structures. Accordingly, the present study proposes a nearly automated inspection …