[HTML][HTML] Computer vision-based bridge inspection and monitoring: A review

K Luo, X Kong, J Zhang, J Hu, J Li, H Tang - Sensors, 2023 - mdpi.com
Bridge inspection and monitoring are usually used to evaluate the status and integrity of
bridge structures to ensure their safety and reliability. Computer vision (CV)-based methods …

Recent advances in use of bio-inspired jellyfish search algorithm for solving optimization problems

JS Chou, A Molla - Scientific Reports, 2022 - nature.com
The complexity of engineering optimization problems is increasing. Classical gradient-
based optimization algorithms are a mathematical means of solving complex problems …

Comparison of histogram-based gradient boosting classification machine, random Forest, and deep convolutional neural network for pavement raveling severity …

H Nhat-Duc, T Van-Duc - Automation in construction, 2023 - Elsevier
Raveling is a widely encountered defect found in asphalt pavements. Raveling deteriorates
riding safety and accelerates the development of other pavement defects. Therefore, timely …

Computer vision-based classification of concrete spall severity using metaheuristic-optimized extreme gradient boosting machine and deep convolutional neural …

H Nguyen, ND Hoang - Automation in Construction, 2022 - Elsevier
This paper presents alternative solutions for classifying concrete spall severity based on
computer vision approaches. Extreme Gradient Boosting Machine (XGBoost) and Deep …

A comparative study on crack detection in concrete walls using transfer learning techniques

RE Philip, AD Andrushia, A Nammalvar… - Journal of Composites …, 2023 - mdpi.com
Structural cracks have serious repercussions on the safety, adaptability, and longevity of
structures. Therefore, assessing cracks is an important parameter when evaluating the …

Review of image-processing-based technology for structural health monitoring of civil infrastructures

JW Kim, HW Choi, SK Kim, WS Na - Journal of Imaging, 2024 - mdpi.com
The continuous monitoring of civil infrastructures is crucial for ensuring public safety and
extending the lifespan of structures. In recent years, image-processing-based technologies …

Concrete spalling detection system based on semantic segmentation using deep architectures

T Yasmin, D La, K La, MT Nguyen, HM La - Computers & Structures, 2024 - Elsevier
This paper presents a method for detecting the location of spalling and assessing the
severity level of the spalling in concrete surfaces. The proposed method is constructed …

Feasibility study of drone-based 3-D measurement of defects in concrete structures

D Marchisotti, E Zappa - IEEE Transactions on Instrumentation …, 2022 - ieeexplore.ieee.org
Recognition of defects in concrete structures, identification of cracks, concrete spalling, or
other geometrical defects are important tools for structural damage detection. Defects in …

Multidamage identification in high-resolution concrete bridge component imagery based on deep learning

HE Tang, TH Yi, SH Zhang, C Li - Journal of Performance of …, 2024 - ascelibrary.org
The identification of damage to concrete bridge surfaces is of great significance to
maintaining the durability and reliability of bridges. However, it is difficult to identify small …

A hybrid method for strand looseness identification in post-tensioned system using FEM and ANN

NL Dang, NTV Phan, DD Ho, JT Kim… - Journal of Civil Structural …, 2023 - Springer
While prestressing technology is increasingly implemented in civil infrastructures worldwide,
on-site identification of loosened strands and estimation of looseness extent remain a …