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 …
[HTML][HTML] The state of the art of data science and engineering in structural health monitoring
Structural health monitoring (SHM) is a multi-discipline field that involves the automatic
sensing of structural loads and response by means of a large number of sensors and …
sensing of structural loads and response by means of a large number of sensors and …
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 …
Investigation of dynamic properties of long‐span cable‐stayed bridges based on one‐year monitoring data under normal operating condition
Environmental factors, such as temperature, traffic, and wind, play an important role on the
variations of dynamic properties of long‐span cable‐stayed bridges. The dynamic …
variations of dynamic properties of long‐span cable‐stayed bridges. The dynamic …
Structural health monitoring of beam model based on swarm intelligence-based algorithms and neural networks employing FRF
In recent decades, swarm optimization methods have been employed to address various
optimization problems in structural health monitoring (SHM). One of the widely recognized …
optimization problems in structural health monitoring (SHM). One of the widely recognized …
Automated modal identification using principal component and cluster analysis: Application to a long‐span cable‐stayed bridge
Obtaining timely information about the health of civil infrastructure is critical to ensuring safe
and reliable operation. Structural health monitoring has been proposed as a means to …
and reliable operation. Structural health monitoring has been proposed as a means to …
Deployment of a smart structural health monitoring system for long-span arch bridges: A review and a case study
Z Chen, X Zhou, X Wang, L Dong, Y Qian - Sensors, 2017 - mdpi.com
Structural health monitoring (SHM) technology for surveillance and evaluation of existing
and newly built long-span bridges has been widely developed, and the significance of the …
and newly built long-span bridges has been widely developed, and the significance of the …
Modeling and forecasting of temperature-induced strain of a long-span bridge using an improved Bayesian dynamic linear model
Temperature-driven baseline is highly responsive to anomalous structural behavior of long-
span bridges, which means that the discrepancy between the measured and forecasting …
span bridges, which means that the discrepancy between the measured and forecasting …