In recent decades, structural health monitoring (SHM) has gained increased importance for
ensuring the sustainability and serviceability of large and complex structures. To design an …

The development of Structural Health Monitoring (SHM) and Non-Destructive Testing (NDT)
techniques has rapidly evolved and matured over the past few decades. Advances in sensor …

Damage detection in bridge structures has always been challenging, particularly for long‐
span bridges with complex structural forms. In this study, a partial‐model‐based damage …

Studies on structural health monitoring of timber bridges are limited. The unique
characteristics of timber, such as anisotropy, hygroscopicity, and high variability under …

In this paper, a damage detection strategy for beam-type structures based on frequency
response functions (FRFs) is presented. Five aluminum beams of equal nominal dimensions …

A deep learning method is proposed to identify damages in jacket offshore platforms, which
integrates the random decrement technique (RDT) and Transformer neural network. RDT is …

For the simultaneous identification (SI) problem on the moving vehicle loads and bridge
damage, the existing methods fail to appropriately consider the sparse characteristics of …

Sparse Bayesian learning (SBL) has been proved to be an effective damage detection
strategy. In this research, a structural damage detection technique with two-stage modal …

Considering the complex influences of harsh marine environments, auxiliary structures, and
various operational processes, motion response of floating structures will inevitably exhibit …

Incomplete data poses challenges in accurately assessing structural health and detecting
damage. It limits the ability to capture the complete behavior and response of the structure …