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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 …
construction industry due to their inherent plasticity and high-strength characteristics …
Automated vision-based structural health inspection and assessment for post-construction civil infrastructure
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 …
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 …
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
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 …
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
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 …
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
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 …
thermal images of concrete structures. The work explores how to mitigate false positives in …
Review of multimodal data and their applications for road maintenance
The application of multimodal data in road maintenance has attracted considerable attention
due to its potential to enhance decision-making processes and improve infrastructure …
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
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 …
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
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 …
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 …
asphalt pavements. Most of the current methods for crack detection are based on visible light …