Computer vision framework for crack detection of civil infrastructure—A review
Civil infrastructure (eg, buildings, roads, underground tunnels) could lose its expected
physical and functional conditions after years of operation. Timely and accurate inspection …
physical and functional conditions after years of operation. Timely and accurate inspection …
State-of-the-art review on advancements of data mining in structural health monitoring
To date, data mining (DM) techniques, ie artificial intelligence, machine learning, and
statistical methods have been utilized in a remarkable number of structural health monitoring …
statistical methods have been utilized in a remarkable number of structural health monitoring …
[HTML][HTML] Digital technology for quality management in construction: A review and future research directions
H Luo, L Lin, K Chen, MF Antwi-Afari, L Chen - Developments in the Built …, 2022 - Elsevier
Significant developments in digital technologies can potentially provide managers and
engineers with the ability to improve the quality of the construction industry. Acknowledging …
engineers with the ability to improve the quality of the construction industry. Acknowledging …
Multistage semisupervised active learning framework for crack identification, segmentation, and measurement of bridges
Y Zheng, Y Gao, S Lu… - Computer‐Aided Civil and …, 2022 - Wiley Online Library
In bridge health monitoring (BHM), crack identification and width measurement are two of
the most important indices for evaluating the functionality of bridges. In order to reduce the …
the most important indices for evaluating the functionality of bridges. In order to reduce the …
Real‐time automatic crack detection method based on drone
Real‐time automated drone‐based crack detection can be used for efficient building
damage assessment. This paper proposes an automated real‐time crack detection method …
damage assessment. This paper proposes an automated real‐time crack detection method …
CNN based on transfer learning models using data augmentation and transformation for detection of concrete crack
Cracks in concrete cause initial structural damage to civil infrastructures such as buildings,
bridges, and highways, which in turn causes further damage and is thus regarded as a …
bridges, and highways, which in turn causes further damage and is thus regarded as a …
Review of artificial intelligence-based bridge damage detection
Bridges are often located in harsh environments and are thus extremely susceptible to
damage. If the initial damage is not detected in time, it can develop further causing safety …
damage. If the initial damage is not detected in time, it can develop further causing safety …
Automatic concrete defect detection and reconstruction by aligning aerial images onto semantic‐rich building information model
Concrete defect information is of vital importance to building maintenance. Increasingly,
computer vision has been explored for automated concrete defect detection. However …
computer vision has been explored for automated concrete defect detection. However …
Chained machine learning model for predicting load capacity and ductility of steel fiber–reinforced concrete beams
One of the main issues associated with steel fiber–reinforced concrete (SFRC) beams is the
ability to anticipate their flexural response. With a comprehensive grid search, several …
ability to anticipate their flexural response. With a comprehensive grid search, several …
Identification of concrete surface damage based on probabilistic deep learning of images
Crack is common damage that can reduce the durability of concrete structures and
accelerate structural degradation. With intent to improve the accuracy and efficiency of …
accelerate structural degradation. With intent to improve the accuracy and efficiency of …