Foundations and applicability of transfer learning for structural health monitoring of bridges
The number of bridges worldwide is extensive, making it financially and technically
challenging for the authorities to install a structural health monitoring (SHM) system and …
challenging for the authorities to install a structural health monitoring (SHM) system and …
A novel CNN architecture for robust structural damage identification via strain measurements and its validation via full-scale experiments
In this study, an innovative two-dimensional Convolutional Neural Network (2D CNN)
architecture is proposed and investigated for the classification of bridge damage. Employing …
architecture is proposed and investigated for the classification of bridge damage. Employing …
[HTML][HTML] A domain adaptation approach to damage classification with an application to bridge monitoring
Data-driven machine-learning algorithms generally suffer from a lack of labelled health-state
data, mainly those referring to damage conditions. To address such an issue, population …
data, mainly those referring to damage conditions. To address such an issue, population …
Damage detection of bridges subjected to moving load based on domain-adversarial neural network considering measurement and model error
ZD Li, WY He, WX Ren, YL Li, YF Li, HC Cheng - Engineering Structures, 2023 - Elsevier
Bridge damage detection methods based on moving load induced response and deep
learning are popular, and they are effective when the training data generated by a finite …
learning are popular, and they are effective when the training data generated by a finite …
A damage assessment methodology for structural systems using transfer learning from the audio domain
Neural network-based strategies require balanced training datasets to avoid creating
unreliable classification and prediction models. While these strategies are commonly used …
unreliable classification and prediction models. While these strategies are commonly used …
Efficacy of vehicle scanning methods in estimating the mode shapes of bridges seated on elastic supports
This study systematically assesses the efficacy of the vehicle scanning methods (VSM) in
accurately estimating the mode shapes of bridges seated on elastic supports. Three state-of …
accurately estimating the mode shapes of bridges seated on elastic supports. Three state-of …
[HTML][HTML] Intensity and location of corrosion on the reliability of a steel bridge
Visual inspections generally represent the initial step of the safety assessment of bridges. In
particular, steel railway bridges are particularly prone to corrosion phenomena. Therefore …
particular, steel railway bridges are particularly prone to corrosion phenomena. Therefore …
[HTML][HTML] Leveraging Deep Learning for Robust Structural Damage Detection and Classification: A Transfer Learning Approach via CNN
Transfer learning techniques for structural health monitoring in bridge-type structures are
investigated, focusing on model generalizability and domain adaptation challenges. Finite …
investigated, focusing on model generalizability and domain adaptation challenges. Finite …
Structural damage identification based on Wasserstein Generative Adversarial Network with gradient penalty and dynamic adversarial adaptation network
ZD Li, WY He, WX Ren - Mechanical Systems and Signal Processing, 2024 - Elsevier
Transfer learning-based damage identification is widely explored as it can utilize prior
damage knowledge from finite element model (FEM) to identify damage without real …
damage knowledge from finite element model (FEM) to identify damage without real …
Recent advances in structural health monitoring: techniques, applications and future directions
NM Saeed - International Journal of Reliability and Safety, 2024 - inderscienceonline.com
Structural Health Monitoring (SHM) ensures structure safety, reliability, and durability in
many sectors. SHM methods have improved structural evaluation and maintenance …
many sectors. SHM methods have improved structural evaluation and maintenance …