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Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights
Conventional damage detection techniques are gradually being replaced by state-of-the-art
smart monitoring and decision-making solutions. Near real-time and online damage …
smart monitoring and decision-making solutions. Near real-time and online damage …
Recent advances in researches on vehicle scanning method for bridges
The vehicle scanning method (VSM), an indirect approach for bridge measurement, has
attracted intensive attention since it was proposed by Yang and co-workers in 2004. This …
attracted intensive attention since it was proposed by Yang and co-workers in 2004. This …
[HTML][HTML] A review of mobile sensing of bridges using moving vehicles: Progress to date, challenges and future trends
Sensors installed on moving vehicles have been extensively used for condition monitoring
and structural assessment of bridges in the recent years. These methods which are known …
and structural assessment of bridges in the recent years. These methods which are known …
[HTML][HTML] Diagnosis algorithms for indirect bridge health monitoring via an optimized AdaBoost-linear SVM
A data-driven approach based on Optimized AdaBoost-Linear SVM is proposed to indicate
the bridge damage using only raw vibration signals received from a vehicle passing over the …
the bridge damage using only raw vibration signals received from a vehicle passing over the …
Bridge damage identification under the moving vehicle loads based on the method of physics-guided deep neural networks
X Yin, Z Huang, Y Liu - Mechanical Systems and Signal Processing, 2023 - Elsevier
Modeling uncertainty or modeling error has been widely recognized as one major challenge
for damage identification of bridge structures by moving vehicles. This study proposed a …
for damage identification of bridge structures by moving vehicles. This study proposed a …
[HTML][HTML] Footbridge damage detection using smartphone-recorded responses of micromobility and convolutional neural networks
This paper presents a footbridge damage detection and classification framework using
smartphone-recorded responses of micromobility and deep learning techniques. Time …
smartphone-recorded responses of micromobility and deep learning techniques. Time …
[HTML][HTML] Deep autoencoder architecture for bridge damage assessment using responses from several vehicles
Vehicle-assisted monitoring is a promising alternative for rapid and low-cost bridge health
monitoring compared to direct instrumentation of bridges. In recent years, centralized …
monitoring compared to direct instrumentation of bridges. In recent years, centralized …
[HTML][HTML] Real-time drive-by bridge damage detection using deep auto-encoder
Structural health condition monitoring of bridge structures has been a concern in the last
decades due to their aging and deterioration, in which the core task is damage detection …
decades due to their aging and deterioration, in which the core task is damage detection …
Bridge damage identification based on synchronous statistical moment theory of vehicle–bridge interaction
Y Yang, W Xu, A Gao, Q Yang… - Computer‐Aided Civil and …, 2024 - Wiley Online Library
Considering the weak noise resistance and low identification efficiency of traditional bridge
damage identification methods, a data‐driven approach based on synchronous statistical …
damage identification methods, a data‐driven approach based on synchronous statistical …
[HTML][HTML] Development of intelligent technologies in SHM on the innovative diagnosis in civil engineering—A comprehensive review
This comprehensive review focuses on the integration of intelligent technologies, such as
the Internet of Things (IoT), Artificial intelligence (AI), and Nondestructive Testing (NDT), in …
the Internet of Things (IoT), Artificial intelligence (AI), and Nondestructive Testing (NDT), in …