Artificial intelligence and structural health monitoring of bridges: A review of the state-of-the-art
In the age of the smart city, things like the Internet of Things (IoT) and big data analytics are
making big changes to the way traditional structural health monitoring (SHM) is done. Also …
making big changes to the way traditional structural health monitoring (SHM) is done. Also …
Toward data anomaly detection for automated structural health monitoring: Exploiting generative adversarial nets and autoencoders
J Mao, H Wang, BF Spencer Jr - Structural Health Monitoring, 2021 - journals.sagepub.com
Damage detection is one of the most important tasks for structural health monitoring of civil
infrastructure. Before a damage detection algorithm can be applied, the integrity of the data …
infrastructure. Before a damage detection algorithm can be applied, the integrity of the data …
Bayesian dynamic regression for reconstructing missing data in structural health monitoring
Massive data that provide valuable information regarding the structural behavior are
continuously collected by the structural health monitoring (SHM) system. The quality of …
continuously collected by the structural health monitoring (SHM) system. The quality of …
Probabilistic framework with bayesian optimization for predicting typhoon-induced dynamic responses of a long-span bridge
The long-span bridge, characterized by slenderness and flexibility, is particularly sensitive to
wind action. Extreme wind events, including typhoons and hurricanes, will threaten the …
wind action. Extreme wind events, including typhoons and hurricanes, will threaten the …
Machine learning‐based automatic operational modal analysis: A structural health monitoring application to masonry arch bridges
M Civera, V Mugnaini… - Structural Control and …, 2022 - Wiley Online Library
Structural health monitoring (SHM) is one of the main research topics in civil, mechanical
and aerospace engineering. In this regard, modal parameters and their trends over time can …
and aerospace engineering. In this regard, modal parameters and their trends over time can …
A multi-task learning-based automatic blind identification procedure for operational modal analysis
Traditional modal analysis approaches for structural heath monitoring (SHM) have a low
implementation efficiency. This study develops an artificial intelligence (AI)-based automatic …
implementation efficiency. This study develops an artificial intelligence (AI)-based automatic …
[HTML][HTML] Intelligent automatic operational modal analysis
Operational modal analysis methods have been proven especially useful to identify existing
structures and infrastructures under serviceability conditions. However, the installation of …
structures and infrastructures under serviceability conditions. However, the installation of …
Anomaly detection of structural health monitoring data using the maximum likelihood estimation-based Bayesian dynamic linear model
Enormous data are continuously collected by the structural health monitoring system of civil
infrastructures. The structural health monitoring data inevitably involve anomalies caused by …
infrastructures. The structural health monitoring data inevitably involve anomalies caused by …
Reconstruction of structural long-term acceleration response based on BiLSTM networks
Reconstructing lost dynamic responses is significant for structural condition assessment in
structural health monitoring (SHM). Current advanced methods usually employ deep …
structural health monitoring (SHM). Current advanced methods usually employ deep …
Vision‐based displacement measurement using an unmanned aerial vehicle
Vision‐based displacement measurement for structural health monitoring has gained
popularity in recent years but still has several limitations in practical applications. Unmanned …
popularity in recent years but still has several limitations in practical applications. Unmanned …