The health monitoring of dams has become a topic of paramount importance to maintain the
sustainability and resiliency of our society. The dam health monitoring (DHM) models …

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 …

Central to structural health monitoring (SHM) is data modeling, manipulation, and
interpretation on the basis of a sophisticated SHM system. Despite continuous evolution of …

Reconstructing lost dynamic responses is significant for structural condition assessment in
structural health monitoring (SHM). Current advanced methods usually employ deep …

The displacement at various measurement points is a critical indicator that can intuitively
reflect the operational properties of a dam. It is important to analyse displacement monitoring …

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 …

Data-based models are extensively applied in concrete dam health monitoring. In this paper,
the Empirical Mode Decomposition (EMD) is adopted to extract and visualize the irreversible …

Structural health monitoring models provide important information for safety control of large
dams. The main challenge in developing an accurate dam behavior prediction model lies in …

Non-contact optical measurements are commonly used in industrial and research domains
to obtain displacement measurements. This can be attributed to their noninvasive …

Over a while, changes in the environment, such as climate, weather, pollution, will have a
more significant impact on the structures in different ways. Hence, continuous monitoring of …