Enhanced Precision in Dam Crack Width Measurement: Leveraging Advanced Lightweight Network Identification for Pixel‐Level Accuracy
Z Wu, Y Tang, B Hong, B Liang… - International Journal of …, 2023 - Wiley Online Library
In dam engineering, the presence of cracks and crack width are important indicators for
diagnosing the health of dams. The accurate measurement of cracks facilitates the safe use …
diagnosing the health of dams. The accurate measurement of cracks facilitates the safe use …
Deep learning for structural health monitoring: Data, algorithms, applications, challenges, and trends
J Jia, Y Li - Sensors, 2023 - mdpi.com
Environmental effects may lead to cracking, stiffness loss, brace damage, and other
damages in bridges, frame structures, buildings, etc. Structural Health Monitoring (SHM) …
damages in bridges, frame structures, buildings, etc. Structural Health Monitoring (SHM) …
A Deep Transfer Learning Network for Structural Condition Identification with Limited Real‐World Training Data
Structural condition identification based on monitoring data is important for automatic civil
infrastructure asset management. Nevertheless, the monitoring data are almost always …
infrastructure asset management. Nevertheless, the monitoring data are almost always …
State-of-the-art review: Seismic design and performance assessment of special concentrically braced frames developed for complex industrial building structures
AD Wasse, K Dai, J Wang, R Sharbati - International Journal of Steel …, 2024 - Springer
This state-of-the-art review comprehensively evaluates the seismic design and performance
assessment of concentrically braced frame (CBF) systems, specifically focusing on special …
assessment of concentrically braced frame (CBF) systems, specifically focusing on special …
Vision-based detection of bolt loosening using YOLOv5
Bolted connections have been widely applied in engineering structures, loosening will
happen when bolted connections are subjected to continuous cyclic load, and a significant …
happen when bolted connections are subjected to continuous cyclic load, and a significant …
Vibration-based structural damage detection via phase-based motion estimation using convolutional neural networks
T Zhang, D Shi, Z Wang, P Zhang, S Wang… - Mechanical Systems and …, 2022 - Elsevier
Detection of structural damage is a major concern for engineers. In recent years,
convolutional neural networks (CNNs) have been used for feature extraction and …
convolutional neural networks (CNNs) have been used for feature extraction and …
Multiclass damage detection in concrete structures using a transfer learning‐based generative adversarial networks
A large amount of the world's existing infrastructure is reaching the end of its service life,
requiring intervention in the form of structural rehabilitation or replacement. A critical aspect …
requiring intervention in the form of structural rehabilitation or replacement. A critical aspect …
A novel multistage damage detection method for trusses using time-history data based on model order reduction and deep neural network
QX Lieu - Mechanical Systems and Signal Processing, 2023 - Elsevier
This article first proposes a multistage damage identification approach for trusses using time-
series data relied upon model order reduction (MOR) and deep neural network (DNN). In the …
series data relied upon model order reduction (MOR) and deep neural network (DNN). In the …
Deep transfer learning-based vehicle classification by asphalt pavement vibration
Deep transfer learning (TL) has great potential for a wide range of applications in civil
engineering. This work aims to propose a deep transfer learning-based method for vehicle …
engineering. This work aims to propose a deep transfer learning-based method for vehicle …
Computer Vision‐Based Autonomous Method for Quantitative Detection of Loose Bolts in Bolted Connections of Steel Structures
In this study, an autonomous computer vision‐based method is presented to quantitatively
detect loose bolts. The method integrates keypoint detection via YOLOv5 and PIPNet …
detect loose bolts. The method integrates keypoint detection via YOLOv5 and PIPNet …