A review on concrete structural properties and damage evolution monitoring techniques

J Zhang, L Peng, S Wen, S Huang - Sensors, 2024 - mdpi.com
Concrete structures have emerged as some of the most extensively utilized materials in the
construction industry due to their inherent plasticity and high-strength characteristics …

Automated vision-based structural health inspection and assessment for post-construction civil infrastructure

IO Agyemang, X Zhang, I Adjei-Mensah… - Automation in …, 2023 - Elsevier
In the search to enhance the effectiveness and efficiency of structural health monitoring for
preserving safety and integrity in civil infrastructure, the search for innovative technologies is …

Effect of light source wavelength on surface defect imaging in deep-water concrete dams

D Chen, F Kang, J Chen, S Zhu, H Li - NDT & E International, 2024 - Elsevier
This study explores the relationship between surface defect imaging in deep-water concrete
dams and the wavelength of the light source, aiming to improve concrete defect image …

Crack detection of masonry structure based on thermal and visible image fusion and semantic segmentation

H Huang, Y Cai, C Zhang, Y Lu, A Hammad… - Automation in …, 2024 - Elsevier
The integration of visible and thermal images has demonstrated the potential ability to
enhance crack segmentation accuracy. However, due to the intricate texture of masonry …

Multi-scale image-based damage recognition and assessment for reinforced concrete structures in post-earthquake emergency response

Z Bai, T Liu, D Zou, M Zhang, Q Hu, Y Li - Engineering Structures, 2024 - Elsevier
As cities continue to develop, the significance of resilience and intelligence is increasing. In
post-earthquake emergency response, there is a continuous demand for efficient and …

[HTML][HTML] Enhancing concrete defect segmentation using multimodal data and Siamese Neural Networks

S Pozzer, G Ramos, ER Azar, A Osman… - Automation in …, 2024 - Elsevier
This paper proposes an approach for the reliable identification of subsurface damages in
thermal images of concrete structures. The work explores how to mitigate false positives in …

Review of multimodal data and their applications for road maintenance

S Malihi, L Potseluyko, A Mathew, H Alavi… - Smart …, 2024 - iris.univpm.it
The application of multimodal data in road maintenance has attracted considerable attention
due to its potential to enhance decision-making processes and improve infrastructure …

Pavement moisture content prediction: A deep residual neural network approach for analyzing ground penetrating radar

Q Cao, IL Al-Qadi, L Abufares - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The non-destructive detection and monitoring of moisture content in asphalt concrete (AC)
pavement is important, as moisture may cause adhesion failures between aggregates and …

PHM-IRNET: Self-training thermal segmentation approach for thermographic inspection of industrial components

P Nooralishahi, RK Rezayiye, F López… - NDT & E …, 2023 - Elsevier
Automating thermographic analysis for industrial and construction inspection is one of the
essential aspects of NDT 4.0 in industrial transformation. Thermal segmentation is a …

Concrete highway crack detection based on visible light and infrared silicate spectrum image fusion

J **ng, Y Liu, G Zhang - Sensors, 2024 - mdpi.com
Cracks provide the earliest and most immediate visual response to structural deterioration of
asphalt pavements. Most of the current methods for crack detection are based on visible light …