Imaging-based crack detection on concrete surfaces using You Only Look Once network
The detection of cracks in concrete structures is a pivotal aspect in assessing structural
robustness. Current inspection methods are subjective, relying on the inspector's experience …
robustness. Current inspection methods are subjective, relying on the inspector's experience …
Pixel‐level multicategory detection of visible seismic damage of reinforced concrete components
The detection of visible damage (ie, cracking, concrete spalling and crushing, reinforcement
exposure, buckling and fracture) plays a key role in postearthquake safety assessment of …
exposure, buckling and fracture) plays a key role in postearthquake safety assessment of …
[HTML][HTML] Automated vision-based crack detection on concrete surfaces using deep learning
RS Rajadurai, ST Kang - Applied Sciences, 2021 - mdpi.com
Cracking in concrete structures affects performance and is a major durability problem.
Cracks must be detected and repaired in time in order to maintain the reliability and …
Cracks must be detected and repaired in time in order to maintain the reliability and …
Structural damage detection with automatic feature‐extraction through deep learning
Y Lin, Z Nie, H Ma - Computer‐Aided Civil and Infrastructure …, 2017 - Wiley Online Library
Structural damage detection is still a challenging problem owing to the difficulty of extracting
damage‐sensitive and noise‐robust features from structure response. This article presents a …
damage‐sensitive and noise‐robust features from structure response. This article presents a …
Automatic pixel‐level crack detection and measurement using fully convolutional network
The spatial characteristics of cracks are significant indicators to assess and evaluate the
health of existing buildings and infrastructures. However, the current manual crack …
health of existing buildings and infrastructures. However, the current manual crack …
Intelligent detection of building cracks based on deep learning
M Zheng, Z Lei, K Zhang - Image and Vision Computing, 2020 - Elsevier
In order to solve the damage caused by the concrete structure, which leads to the reduction
of the life of infrastructure, endangers the safety of pedestrians, and has a serious impact on …
of the life of infrastructure, endangers the safety of pedestrians, and has a serious impact on …
A framework of structural damage detection for civil structures using a combined multi-scale convolutional neural network and echo state network
Y He, L Zhang, Z Chen, CY Li - Engineering with Computers, 2023 - Springer
Structural health monitoring (SHM) has become a notable method to ensure structural
safety, yet the ability of existing damage detection techniques need improvements on …
safety, yet the ability of existing damage detection techniques need improvements on …
Damage detection in a novel deep-learning framework: a robust method for feature extraction
T Guo, L Wu, C Wang, Z Xu - Structural Health Monitoring, 2020 - journals.sagepub.com
Extracting damage features precisely while overcoming the adverse interferences of
measurement noise and incomplete data is a problem demanding prompt solution in …
measurement noise and incomplete data is a problem demanding prompt solution in …
Deep learning-based detection of structural damage using time-series data
Previously, it was nearly impossible to use raw time series sensory signals for structural
health monitoring due to the inherent high dimensionality of measured data. However …
health monitoring due to the inherent high dimensionality of measured data. However …
Deep learning‐based multi‐class damage detection for autonomous post‐disaster reconnaissance
T Ghosh Mondal, MR Jahanshahi… - Structural Control and …, 2020 - Wiley Online Library
Timely assessment of damages induced to buildings due to an earthquake is critical for
ensuring life safety, mitigating financial losses, and expediting the rehabilitation process as …
ensuring life safety, mitigating financial losses, and expediting the rehabilitation process as …