Automated delamination detection in concrete bridge decks using 1D-CNN and GPR data

The adoption of deep learning models for ground penetrating radar (GPR) data analysis has great potential for advancing the field of infrastructure condition monitoring, especially in the early detection of bridge deck distresses. This work presents a deep learning approach to detect delamination in...

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Bibliographic Details
Main Authors: Ahmed Elseicy, Mercedes Solla, Henrique Lorenzo
Format: Article
Language:English
Published: Elsevier 2025-07-01
Series:Case Studies in Construction Materials
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2214509524013263
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