This narrative review paper explores the diverse applications of artificial intelligence (AI) in
the field of dam engineering. Authored by research engineers specializing in civil …

Dam monitoring usually involves environmental variables (eg, the water level and
temperature) and effect variables (deformation, cracking, seepage, etc.). The associated …

Structural health monitoring (SHM) is a powerful tool for identifying the underlying dam
structural response anomalies by imitating the self-sensing ability of humans. Unfortunately …

With the rapid development of information and communication techniques, dam structural
health assessment based on data collected from structural health monitoring systems has …

Dam behavior prediction is a fundamental component of dam structural health monitoring.
By comparing the predictions and the observations, anomalies can be detected, and then …

Monitoring and predicting the displacement of concrete dams is one of the most crucial
considerations for ensuring their long‐term safe operation. Most existing models are …

This paper comprehensively reviews the origin, history, development, applications, and
prospects of statistical modeling in the field of dam safety monitoring. The review covers the …

The main aim of structural safety control is the multiple assessments of the expected dam
behaviour based on models and the measurements and parameters that characterise the …

In order to discover anomalies of dam structure behaviors and evaluate the operation status
timely, it is quite demanding to analyze the dam safety monitoring data that has been …

The nowadays-available dynamic monitoring equipment integrating sensitive low-noise
sensors creates an opportunity to implement continuously operating dynamic monitoring …