Computer vision-based bridge inspection and monitoring: A review
Bridge inspection and monitoring are usually used to evaluate the status and integrity of
bridge structures to ensure their safety and reliability. Computer vision (CV)-based methods …
bridge structures to ensure their safety and reliability. Computer vision (CV)-based methods …
[HTML][HTML] Literature review of digital twin technologies for civil infrastructure
C Liu, P Zhang, X Xu - Journal of Infrastructure Intelligence and Resilience, 2023 - Elsevier
Currently, there are numerous drawbacks associated with infrastructure health monitoring
and management, such as inefficiency, subpar real-time functionality, demanding data …
and management, such as inefficiency, subpar real-time functionality, demanding data …
Crack detection and quantification for concrete structures using UAV and transformer
Crack detection is of significant importance for concrete structural inspection. Unmanned
aerial vehicle (UAV)-based crack detection systems abound, but simply quantifying cracks …
aerial vehicle (UAV)-based crack detection systems abound, but simply quantifying cracks …
DF-CDM: Conditional diffusion model with data fusion for structural dynamic response reconstruction
In structural health monitoring (SHM) systems, data loss inevitably occurs and reduces the
applicability of SHM techniques, such as condition assessment and damage identification …
applicability of SHM techniques, such as condition assessment and damage identification …
[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 …
Machine Learning-based prediction of seismic lateral deflection of steel trusses using nonlinear time-history analysis
This study evaluates the effectiveness of nine machine learning (ML) algorithms, including
Gaussian Process (GP), support vector machines (SVM), backpropagation feed-forward …
Gaussian Process (GP), support vector machines (SVM), backpropagation feed-forward …
An interpretable TFAFI-1DCNN-LSTM framework for UGW-based pre-stress identification of steel strands
L Zhang, J Jia, Y Bai, X Du, B Guo, H Guo - Mechanical Systems and Signal …, 2025 - Elsevier
Steel strands serve as the key load-bearing components of pre-stressed bridges, yet the
identification of effective pre-stress for steel strands is a challenging task. In this study, a time …
identification of effective pre-stress for steel strands is a challenging task. In this study, a time …
Variational mode decomposition-based multirate data-fusion framework for estimating structural dynamic displacement by integrating vision-and acceleration-based …
Z **, G Chen, Y Niu, C Zhang, X Zhang… - Mechanical Systems and …, 2024 - Elsevier
Dynamic displacement is a crucial parameter in structural health monitoring (SHM) for
assessing the safety, dependability, and suitability of structures under various types of …
assessing the safety, dependability, and suitability of structures under various types of …
Efficient Bayesian inference for finite element model updating with surrogate modeling techniques
Bayesian finite element model updating has become an important tool for structural health
monitoring. However, it takes a large amount of computational cost to update the finite …
monitoring. However, it takes a large amount of computational cost to update the finite …
Polyhedron-bounded collision checks for robotic assembly of structural components
For existing robotic assembly studies in construction, the axis-aligned bounding box
algorithm used is not capable enough to provide the exact approximation of rotated and …
algorithm used is not capable enough to provide the exact approximation of rotated and …