Monitoring structural damage is extremely important for sustaining and preserving the
service life of civil structures. While successful monitoring provides resolute and staunch …

Output-only modal identification has seen significant activity in recent years, especially in
large-scale structures where controlled input force generation is often difficult to achieve …

Every year, earthquakes result in severe economic losses and a significant number of
casualties worldwide. In limiting the losses that occur after these extreme events, timely and …

Output-only modal identification plays an important role in the structural health monitoring of
large-scale structures. In recent years, blind source separation (BSS) has achieved great …

A supervised learning scheme is proposed for detecting, locating, and quantifying the
intensity of damage in structures using Artificial Neural Networks (ANNs) and Proper …

Cable-stayed bridges are popular bridge designs and have been widely used all around the
world. To investigate the dynamic properties of cable-stayed bridges, many structural health …

Dynamic response levels are critical for tall and slender civil structures. Studying the
dynamic behavior of large civil structures with finite element modeling techniques requires …

Blind source separation receives increasing attention as an alternative tool for operational
modal analysis in civil applications. However, the implementations on real-life structures in …

It is essential to diagnose, ie, detect and isolate, potential sensor faults for structural health
monitoring to guarantee reliable condition evaluations. This paper proposes an innovative …

A large number of research studies in structural health monitoring (SHM) have presented,
extended, and used subspace system identification. However, there is a lack of research on …