Damage identification forms a key objective in structural health monitoring. Several state‐of‐
the‐art review papers regarding progress in this field up to 2011 have been published. This …

Structural damage detection is still a challenging problem owing to the difficulty of extracting
damage‐sensitive and noise‐robust features from structure response. This article presents a …

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

Many research groups in the structural health monitoring community have made efforts to
utilize deep learning-based approaches for damage detection on a variety of structures …

In this paper, the ideas of deep auto‐encoder (DAE) and manifold learning are adopted to
solve the problem of structural condition diagnosis. A scalable decentralized end‐to‐end …

Vibration-based damage detection techniques play an important role in health monitoring of
offshore structures. This study explores the possibility to use the one-dimensional …

Existing studies have utilized highly efficient partial least-squares regression (PLSR) to
estimate nodal loads of the entire bridge using a small number of bridge sensors, and when …

Continuous and real-time tension force monitoring is a key point in fatigue damage
evaluation for bridge suspenders or hangers. Usually, effective sensors are not equipped in …

Truss-type structures are commonly used for configuring civil structures such as bridges, roof
supports, cranes, among others. However, they are susceptible to suffer different types of …

The rapid impact testing of bridges contains unique advantages. For example, structural
parameters, including frequency response function and structural flexibility matrix can be …