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 …
Towards next generation design of sustainable, durable, multi-hazard resistant, resilient, and smart civil engineering structures
The design philosophy and methodology of civil engineering structures have been
constantly evolving, from the early strength-based to more recent performance-based design …
constantly evolving, from the early strength-based to more recent performance-based design …
A systematic review of convolutional neural network-based structural condition assessment techniques
With recent advances in non-contact sensing technology such as cameras, unmanned aerial
and ground vehicles, the structural health monitoring (SHM) community has witnessed a …
and ground vehicles, the structural health monitoring (SHM) community has witnessed a …
Integrated structural health monitoring in bridge engineering
Integrated structural health monitoring (SHM) uses the mechanism analysis, monitoring
technology and data analytics to diagnose the classification, location and significance of …
technology and data analytics to diagnose the classification, location and significance of …
Three decades of statistical pattern recognition paradigm for SHM of bridges
E Figueiredo, J Brownjohn - Structural Health Monitoring, 2022 - journals.sagepub.com
Bridges play a crucial role in modern societies, regardless of their culture, geographical
location, or economic development. The safest, economical, and most resilient bridges are …
location, or economic development. The safest, economical, and most resilient bridges are …
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 …
Machine learning for risk and resilience assessment in structural engineering: Progress and future trends
Population growth, economic development, and rapid urbanization in many areas have led
to increased exposure and vulnerability of structural and infrastructure systems to hazards …
to increased exposure and vulnerability of structural and infrastructure systems to hazards …
Bridge deformation prediction based on SHM data using improved VMD and conditional KDE
J Xin, Y Jiang, J Zhou, L Peng, S Liu, Q Tang - Engineering Structures, 2022 - Elsevier
Deformation is a paramount index of bridge health monitoring. Accurate prediction of bridge
deformation is of great significance to evaluate bridge performance. However, owing to the …
deformation is of great significance to evaluate bridge performance. However, owing to the …
Structural health monitoring methods of cables in cable-stayed bridge: A review
L Zhang, G Qiu, Z Chen - Measurement, 2021 - Elsevier
Cables as the crucial components, its inspection is the key problem to ensure the safety of
cable-stayed bridge. Study of the monitoring methods of cable tension has practical …
cable-stayed bridge. Study of the monitoring methods of cable tension has practical …
Lost data reconstruction for structural health monitoring using deep convolutional generative adversarial networks
In the application of structural health monitoring, the measured data might be temporarily or
permanently lost due to sensor fault or transmission failure. The measured data with a high …
permanently lost due to sensor fault or transmission failure. The measured data with a high …