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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 …
Advanced informatic technologies for intelligent construction: A review
Since there is a growing interest in driving the digital transformation of the construction
industry, the goal of this paper is to provide a full picture and understanding of the emerging …
industry, the goal of this paper is to provide a full picture and understanding of the emerging …
Machine learning algorithms in civil structural health monitoring: A systematic review
Abstract Applications of Machine Learning (ML) algorithms in Structural Health Monitoring
(SHM) have become of great interest in recent years owing to their superior ability to detect …
(SHM) have become of great interest in recent years owing to their superior ability to detect …
Correlation model of deflection, vehicle load, and temperature for in‐service bridge using deep learning and structural health monitoring
Deflection is an important issue in bridge structural health monitoring. An accurate deflection–
vehicle load–temperature correlation model is critical to abnormal data identification …
vehicle load–temperature correlation model is critical to abnormal data identification …
Hybrid WARIMA-WANN algorithm for data prediction in bridge health monitoring system
B Sun, Y **e, H Zhou, R Li, T Wu, W Ruan - Structures, 2024 - Elsevier
Application of data-driven algorithm to model and predict the future trend of the structural
health monitoring (SHM) data serves as important references for the future safety evaluation …
health monitoring (SHM) data serves as important references for the future safety evaluation …
Infrastructure damage assessment via machine learning approaches: a systematic review
Monitoring civil infrastructures to detect early damage and extract the data required for urban
management can prevent sudden infrastructure collapse, increase infrastructure …
management can prevent sudden infrastructure collapse, increase infrastructure …
Substructural damage detection in shear structures via ARMAX model and optimal subpattern assignment distance
A novel substructural damage detection approach based on auto-regressive moving
average with exogenous inputs (ARMAX) model and optimal subpattern assignment (OSPA) …
average with exogenous inputs (ARMAX) model and optimal subpattern assignment (OSPA) …
[HTML][HTML] Automated modal analysis for tracking structural change during construction and operation phases
J Teng, DH Tang, X Zhang, WH Hu, S Said… - Sensors, 2019 - mdpi.com
The automated modal analysis (AMA) technique has attracted significant interest over the
last few years, because it can track variations in modal parameters and has the potential to …
last few years, because it can track variations in modal parameters and has the potential to …
Explainable artificial intelligence to advance structural health monitoring
In recent years, structural health monitoring (SHM) applications have significantly been
enhanced, driven by advancements in artificial intelligence (AI) and machine learning (ML) …
enhanced, driven by advancements in artificial intelligence (AI) and machine learning (ML) …
Prediction of concrete fragments amount and travel distance under impact loading using deep neural network and gradient boosting method
In the present study, the amount of fragments generated and their travel distances due to
vehicle collision with concrete median barrier (CMB) was analyzed and predicted. In this …
vehicle collision with concrete median barrier (CMB) was analyzed and predicted. In this …