Bridges play a crucial role in modern societies, regardless of their culture, geographical
location, or economic development. The safest, economical, and most resilient bridges are …

Autonomy has become a focal point for research and development in many industries.
Whilst this was traditionally achieved by modelling self-engineering behaviours at the …

This article proposes an unsupervised deep learning–based approach to detect structural
damage. Supervised deep learning methods have been proposed in recent years, but they …

Operational Modal Analysis is the testing procedure yielding experimental estimates of the
modal parameters from measurements of the structural response only. This book reports …

Bridge damage detection has become increasingly important, but few related techniques
have been tested in situ on real bridges. For this study, a field experiment was conducted on …

This article proposes an innovative unsupervised learning method for early damage
detection and long‐term structural health monitoring of civil structures under environmental …

Structural health monitoring (SHM) is one of the main research topics in civil, mechanical
and aerospace engineering. In this regard, modal parameters and their trends over time can …

Many efforts have been made in the last decade to define Automated Operational Modal
Analysis (AOMA) procedures able to process large datasets from long-term monitoring …

This work proposes a supervised Deep Learning approach for damage identification in
bridge structures. We employ a hybrid methodology that incorporates Finite Element …

Identified modal characteristics are often used as a basis for the calibration and validation of
dynamic structural models, for structural control, for structural health monitoring, etc. It is …