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 …
Fatigue modeling using neural networks: A comprehensive review
Neural network (NN) models have significantly impacted fatigue‐related engineering
communities and are expected to increase rapidly due to the recent advancements in …
communities and are expected to increase rapidly due to the recent advancements in …
Machine learning in coastal bridge hydrodynamics: a state-of-the-art review
Coastal bridges are vulnerable to complicated hydrodynamics induced by hostile natural
hazards, relevant research is thus required to ensure the safe operation of these critical …
hazards, relevant research is thus required to ensure the safe operation of these critical …
Integrating dynamic Bayesian network and physics-based modeling for risk analysis of a time-dependent power distribution system during hurricanes
Hurricane is one of the major natural hazards that bring significant damages and failures to
the power distribution system for many coastal regions. For better decision-making, pre …
the power distribution system for many coastal regions. For better decision-making, pre …
Data‐driven prediction and interpretation of fatigue damage in a road‐rail suspension bridge considering multiple loads
In long‐span suspension bridges, fatigue is a significant concern for steel members as they
are continuously under multiple effects such as wind, temperature, and traffic loads …
are continuously under multiple effects such as wind, temperature, and traffic loads …
Effectiveness assessment of TMDs in bridges under strong winds incorporating machine-learning techniques
Tuned mass dampers (TMDs) are widely used to control excessive wind-induced vibration in
the box girders of long-span bridges. Although the optimal design of TMDs has been …
the box girders of long-span bridges. Although the optimal design of TMDs has been …
Time-variant fatigue reliability assessment of rib-to-deck welded joints using ANN-based methods
X Wang, C Miao, R Chen - Structures, 2022 - Elsevier
Environmental corrosion and vehicle load significantly influence the fatigue damage of steel
bridges. To efficiently investigate the combined effect of stochastic vehicle load and …
bridges. To efficiently investigate the combined effect of stochastic vehicle load and …
[HTML][HTML] A hybrid modeling strategy for training data generation in machine learning-based structural health monitoring
Concerning the cost-and resource-saving maintenance of assembly products, it is vital to
detect any potential malfunctions, defects or structural damage at the earliest-possible stage …
detect any potential malfunctions, defects or structural damage at the earliest-possible stage …
A novel damage identification algorithm by combing the boundary element method and a series connection neural network
Y Yang, Z Zhan, Y Liu - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
A novel damage identification approach based on a model-driven and a data-driven
combined algorithm is developed. By using this approach with only boundary strains, the …
combined algorithm is developed. By using this approach with only boundary strains, the …
[HTML][HTML] Lidar measurements of wake around a bridge deck
Remote wind sensing technologies allow for measurements in a spatial domain beyond the
one accessible by anemometers fixed to a mast. Remote optical wind sensors installed at an …
one accessible by anemometers fixed to a mast. Remote optical wind sensors installed at an …