Damage detection in railway bridges using traffic-induced dynamic responses
This paper aims at detecting damage in railway bridges based on traffic-induced dynamic
responses. To achieve this goal, an unsupervised automatic data-driven methodology is …
responses. To achieve this goal, an unsupervised automatic data-driven methodology is …
Online unsupervised detection of structural changes using train–induced dynamic responses
This paper exploits unsupervised data-driven structural health monitoring (SHM) in order to
propose a continuous online procedure for damage detection based on train-induced …
propose a continuous online procedure for damage detection based on train-induced …
The role of modal parameters uncertainty estimation in automated modal identification, modal tracking and data normalization
During the last decade, many vibration-based structural health monitoring systems have
been successfully implemented in different structures such as bridges, towers, stadia and …
been successfully implemented in different structures such as bridges, towers, stadia and …
Structural health monitoring as a big-data problem
Structural health monitoring (SHM) has evolved over decades of continuous progress in
measuring, processing, collecting and storing massive amounts of data that can provide …
measuring, processing, collecting and storing massive amounts of data that can provide …
On‐line unsupervised detection of early damage
Structural health monitoring (SHM) strategies should ideally consist of continuous on‐line
damage detection processes, which do not need to rely on the comparison of newly …
damage detection processes, which do not need to rely on the comparison of newly …
Automated real-time damage detection strategy using raw dynamic measurements
Over the last decades, several techniques have been developed in the context of Structural
Health Monitoring (SHM) programs. However, when it comes to novelty (or damage) …
Health Monitoring (SHM) programs. However, when it comes to novelty (or damage) …
A robust methodology for modal parameters estimation applied to SHM
The subject of structural health monitoring is drawing more and more attention over the last
years. Many vibration-based techniques aiming at detecting small structural changes or …
years. Many vibration-based techniques aiming at detecting small structural changes or …
Early damage detection based on pattern recognition and data fusion
Structural health monitoring (SHM) relies on data acquired from sensorial systems installed
on site, and is nowadays being used more often not only for asset management, but also in …
on site, and is nowadays being used more often not only for asset management, but also in …
Online early damage detection and localisation using multivariate data analysis: Application to a cable‐stayed bridge
E Sousa Tomé, M Pimentel… - Structural Control and …, 2019 - Wiley Online Library
An online data‐based methodology for early damage detection and localisation under the
effects of environmental and operational variations (EOVs) is proposed. The methodology is …
effects of environmental and operational variations (EOVs) is proposed. The methodology is …
Structural characterization of a suspension bridge by mapping the temperature effects on strain response based on neural network models
Mapping the structural responses based on main loads to characterize signature of complex
structures with high-dimensional features is a determinant factor for structural health …
structures with high-dimensional features is a determinant factor for structural health …