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 …

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 …

Inverse analysis by finite element model (FEM) based on measured displacement data is a
popular approach for parameter identification of concrete dams. FEM-based inverse …

Dam safety monitoring has become an important topic and is critical for evaluating a dam's
safety status. This study focuses on identifying the mechanical properties of a concrete dam …

Physical and mechanical parameter identification could provide useful information for dam
health monitoring. Traditional methods for parameter identification commonly use subjective …

Golden jackal optimization (GJO), a lately published meta-heuristic optimization algorithm, is
inspired by the foraging behavior of pairs of golden jackals and shows an acceptable …

The purpose of this study is evaluating the arch dam performance through modelling on the
defined centroid deformation with the measured data. The space-time distribution …

Accurate and credible displacement prediction is essential to dam safety monitoring.
However, due to the inherent uncertainties involved in dam systems, errors of conventional …

It is very important to estimate the mechanical parameters based on monitoring data for
investigating the operation behavior of concrete dams. In this paper, an advanced Bayesian …

The dam and its operating environment are complex and uncertain and often show many
different operating rules during its operating period. In this paper, firstly, the principal …