Damage identification in structural health monitoring: A brief review from its implementation to the use of data-driven applications
The damage identification process provides relevant information about the current state of a
structure under inspection, and it can be approached from two different points of view. The …
structure under inspection, and it can be approached from two different points of view. The …
Value of information analysis in civil and infrastructure engineering: a review
The concept of Value of Information (VoI) has attracted significant attentions within the civil
engineering community over especially the last decade. Triggered by the increasing focus …
engineering community over especially the last decade. Triggered by the increasing focus …
Non-linear adaptive closed-loop control system for improved efficiency in IoT-blockchain management
R Casado-Vara, P Chamoso, F De la Prieta, J Prieto… - Information …, 2019 - Elsevier
IoT network generates a large amount of data. This means that the monitoring and control of
these networks and the transfer of packets from the IoT network to the server can cause …
these networks and the transfer of packets from the IoT network to the server can cause …
Online structural health monitoring by model order reduction and deep learning algorithms
Within a structural health monitoring (SHM) framework, we propose a simulation-based
classification strategy to move towards online damage localization. The procedure combines …
classification strategy to move towards online damage localization. The procedure combines …
A methodology for sensor number and placement optimization for vibration-based damage detection of composite structures under model uncertainty
Structural health monitoring techniques for composite structures are dependent on the data
acquired from sensors; thus, optimal sensor network design is important to provide adequate …
acquired from sensors; thus, optimal sensor network design is important to provide adequate …
Fully convolutional networks for structural health monitoring through multivariate time series classification
We propose a novel approach to structural health monitoring (SHM), aiming at the automatic
identification of damage-sensitive features from data acquired through pervasive sensor …
identification of damage-sensitive features from data acquired through pervasive sensor …
Nanocarbon-based sensors for the structural health monitoring of smart biocomposites
Structural health monitoring (SHM) is a critical aspect of ensuring the safety and durability of
smart biocomposite materials used as multifunctional materials. Smart biocomposites are …
smart biocomposite materials used as multifunctional materials. Smart biocomposites are …
Information theoretic-based optimal sensor placement for virtual sensing using augmented Kalman filtering
An optimal sensor placement (OSP) framework for virtual sensing using the augmented
Kalman Filter (AKF) technique is presented based on information and utility theory. The …
Kalman Filter (AKF) technique is presented based on information and utility theory. The …
Data-driven probabilistic quantification and assessment of the prediction error model in damage detection applications
NE Silionis, KN Anyfantis - Probabilistic Engineering Mechanics, 2023 - Elsevier
Advances in computer hardware and sensor technologies have led to a surge in the use of
data-driven modeling and machine learning for structural engineering applications, with …
data-driven modeling and machine learning for structural engineering applications, with …
An optimal sensor placement design framework for structural health monitoring using Bayes risk
This paper presents a novel generalized framework for optimal sensor placement design for
structural health monitoring (SHM) applications using Bayes risk as the objective function …
structural health monitoring (SHM) applications using Bayes risk as the objective function …