Data-driven approaches to structural health monitoring (SHM) have been recently shown to
be a powerful paradigm, helping to lead to an evolution of traditional scheduled-based …

Recent advances in learning systems and sensor technology have enabled powerful
strategies for autonomous data-driven damage detection in structural systems. This work …

Aging of structures and infrastructures urges new approaches to ensure higher safety levels
without service interruptions. Structural health monitoring (SHM) aims to cope with this need …

Guided wave propagation (GWP) is commonly employed for the design of SHM systems.
However, GWP is sensitive to variations in the material properties, often leading to false …

The ambient temperature is a critical factor affecting the deformation of long-span bridges,
due to its seasonal fluctuations. Although there exist various sensor technologies and …

To meet the need for reliable real-time monitoring of civil structures, safety control and
optimization of maintenance operations, this paper presents a computational method for the …

Small data analytics, at the opposite extreme of big data analytics, represent a critical
limitation in structural health monitoring based on spaceborne remote sensing technology …

An accurate prediction of the structural response in the presence of limited training data still
represents a big challenge if machine learning-based approaches are adopted. This paper …

Structural Health Monitoring (SHM) of civil structures using IoT sensors is a major emerging
challenge. SHM aims to detect and identify any deviation from a reference condition …

Structural health monitoring studies how to continuously assess structural performance by
analysing data collected through sensor networks. The lack of experimental data related to …