Abstract Structural Health Monitoring (SHM) implementations on infrastructures, including
bridges, are currently experiencing a surge in popularity as the favoured solution for …

Long-term monitoring brings an important benefit for health monitoring of civil structures due
to covering all possible unpredictable variations in measured vibration data and providing …

In this paper, the feasibility of structural health monitoring based on natural frequencies is
investigated for a steel bowstring railway bridge in Leuven, Belgium. The data used in the …

Digital twin (DT) has been moving progressively from concept to practice for bridge
operation and maintenance (O&M), but its issues of data synchronization and fault tolerance …

Abstract Design of an automated and continuous framework is of paramount importance to
structural health monitoring (SHM). This study proposes an innovative multi-task …

Vibration monitoring from strain data is a promising alternative to the more conventional
acceleration-based monitoring because a dense measurement grid can be achieved at a …

Freezing weather can introduce challenges in long-term structural health monitoring of civil
structures, particularly bridges. A noticeable impact of freezing temperature is the …

Distance-based anomaly detectors are among the most efficient unsupervised learning
methods due to their non-parametric properties, inexpensive computational requirements …

The practical application of structural health monitoring is often limited by the availability of
labelled data. Transfer learning–specifically in the form of domain adaptation (DA)–gives …

The case dependency of vibration-based Structural Damage Detection (SDD) models on
their training structure (data) has always been a setback in their application to new …