Synthesized evaluation of reinforced concrete bridge defects, their non-destructive inspection and analysis methods: a systematic review and bibliometric analysis of …
Defects are essential indicators to gauge the structural integrity and safety of reinforced
concrete bridges. Non-destructive inspection has been pervasively explored over the last …
concrete bridges. Non-destructive inspection has been pervasively explored over the last …
[HTML][HTML] Application of deep learning in damage classification of reinforced concrete bridges
M Abubakr, M Rady, K Badran, SY Mahfouz - Ain Shams engineering …, 2024 - Elsevier
Abstract Inspecting Reinforced Concrete (RC) Bridges is crucial to ensure their safety and
perform essential maintenance. The current research introduces the knowledge base for …
perform essential maintenance. The current research introduces the knowledge base for …
Concrete bridge defects identification and localization based on classification deep convolutional neural networks and transfer learning
Conventional practices of bridge visual inspection present several limitations, including a
tedious process of analyzing images manually to identify potential damages. Vision-based …
tedious process of analyzing images manually to identify potential damages. Vision-based …
Concrete bridge crack image classification using histograms of oriented gradients, uniform local binary patterns, and kernel principal component analysis
Bridges deteriorate over time, which requires the continuous monitoring of their condition.
There are many digital technologies for inspecting and monitoring bridges in real-time. In …
There are many digital technologies for inspecting and monitoring bridges in real-time. In …
TrueDeep: A systematic approach of crack detection with less data
Supervised and semi-supervised semantic segmentation algorithms require significant
amount of annotated data to achieve a good performance. In many situations, the data is …
amount of annotated data to achieve a good performance. In many situations, the data is …
Pixel-level concrete bridge crack detection using Convolutional Neural Networks, gabor filters, and attention mechanisms
Cracks are prominent defects that significantly impact concrete bridges' structural safety and
serviceability assessments. The conventional manual bridge inspection is often limited by …
serviceability assessments. The conventional manual bridge inspection is often limited by …
Instance Segmentation of Reinforced Concrete Bridges with Synthetic Point Clouds
The National Bridge Inspection Standards require detailed element-level bridge inspections.
Traditionally, inspectors manually assign condition ratings by rating structural components …
Traditionally, inspectors manually assign condition ratings by rating structural components …
Leveraging Public Safety and Enhancing Crack Detection in Concrete Bridges using Deep Convolutional Neural Networks
The safety of transportation networks is intrinsically linked to the reliability of their
infrastructure. Throughout their life cycle, bridges are subject to numerous types of damage …
infrastructure. Throughout their life cycle, bridges are subject to numerous types of damage …
Comparative Study and Analysis of Deep Learning Models for Concrete Bridge Crack Detection
Infrastructure for transportation relies heavily on concrete bridges, therefore maintaining
their health is essential for everyone's safety. A comparison of deep-learning algorithms for …
their health is essential for everyone's safety. A comparison of deep-learning algorithms for …
Detection of Anomalies in Civil Structures Using Machine Learning Models: Benchmark Study
V dos Santos Amorim, WF da Rocha… - 2023 International …, 2023 - ieeexplore.ieee.org
This research introduces a unique dataset that includes four distinct categories of
anomalies: Exposure Rebard, Infiltration, Normal, and Concrete Crack. The primary …
anomalies: Exposure Rebard, Infiltration, Normal, and Concrete Crack. The primary …