Abstract Applications of Machine Learning (ML) algorithms in Structural Health Monitoring
(SHM) have become of great interest in recent years owing to their superior ability to detect …

Sensing is a critical and inevitable sector of structural health monitoring (SHM). Recently,
smartphone sensing technology has become an emerging, affordable, and effective system …

Abstract The Sendai Framework for Disaster Risk Reduction 2015–2030 (SFDRR) highlights
the importance of scientific research, supporting the 'availability and application of science …

Contactless structural monitoring has in recent years seen a growing number of applications
in civil engineering. Indeed, the elimination of physical installations of sensors is very …

In the aftermath of a seismic event, decision-makers have to decide quickly among
alternative management actions with limited knowledge on the actual health condition of …

The diffusion of seismic structural health monitoring systems, evaluating the dynamic
response of engineering structures to earthquakes, is growing significantly among strategic …

Accurate post-earthquake damage evaluation of real-world structures is essential to ensure
the safe operation of buildings. To this end, we propose a damage evaluation method for …

A 45-month continuous seismic monitoring of a multi-span highway bridge by wireless
sensor network (WSN) is described in this paper. The WSN monitoring system is developed …

Tests on infill masonry walls have been widely performed by many researchers and for a
long time with the main purpose of characterising the infill performance under earthquake …

Thanks to emerging techniques in the field of signal processing and due to improvements in
smart sensing systems which enable the event‐triggered acquisition of high‐fidelity data at …