Unsupervised learning methods are effective and suitable tools for damage detection. The
main reason for the popularity of these methods in structural health monitoring originates …

Wavelet Transforms (WT) have been receiving an increasing attention for the detection of
damage in structures based on vibration response. The existence of the problem of …

In this research, the free vibrations of a four-story building with specific boundary conditions
have been investigated and the health of the building is monitored based on experimental …

As 3D sandwich panels have become prevalent in construction projects, developing
structural damage detection approaches is of great significance to ensure their integrity. This …

This paper is aimed at presenting a novel and effective method to detect and estimate
structural damage by introducing an efficient objective function which is based on Modal …

Deployable structures have been widely used in on-orbit servicing spacecrafts, and the
vibration properties of such structures have become increasingly important in the aerospace …

This article presents an effective method for structural damage identification. The damage
diagnosis problem is introduced as an optimization problem which is based on computing …

This article presents two effective optimization-based model-updating approaches for
structural damage identification using the modal residual force (MRF) concept. The first …

In this paper, a new C 0 layerwise wavelet finite element is proposed for the static and free
vibration analysis of composite plates. The refined zigzag theory is adopted to introduce the …

This paper presents a development and application of decision tree‐based ensemble
technique, extremely randomised tree (ERT) as a multi‐output regression model in structural …