Suffering from solar radiation, day–night replacement and seasonal changes, the structure
will produce notable temperature behaviour, which has a vital effect on the long-term …

Structural damage detection using unsupervised learning methods has been a trending
topic in the structural health monitoring (SHM) research community during the past decades …

When using the analysis of vibration measurements as a tool for health monitoring of
bridges, the problem arises of separating abnormal changes from normal changes in the …

The significance of implementing long-term structural health monitoring systems for large-
scale bridges, in order to secure structural and operational safety and issue early warnings …

A new probabilistic finite element (FE) model updating technique based on Hierarchical
Bayesian modeling is proposed for identification of civil structural systems under changing …

Modal frequencies are widely used for vibration‐based structural health monitoring (SHM)
and for capturing the dynamics of a monitored structure to reveal possible failures. However …

This paper deals with the problem of damage detection using output-only vibration
measurements under changing environmental conditions. Two types of features are …

A damage detection method is proposed for structural health monitoring under varying
environmental and operational conditions. The method is based on principal component …

Changing environmental conditions, especially temperature, have been observed to be a
complicated factor affecting vibration properties, such as frequencies, mode shapes, and …

In broad terms, there are two approaches to damage identification. Model-driven methods
establish a high-fidelity physical model of the structure, usually by finite element analysis …