Fiber reinforced composite laminates are increasingly replacing traditional metallic
materials. The manufacturing process and service of the composite laminates frequently …

Frequency-based damage detection techniques have been widely applied to structural
health monitoring. By analysing the changes (shifts) in natural frequencies in a structure with …

A radial basis function artificial neural network (RBF ANN) based method for distributed
dynamic force reconstruction is presented in this study considering multi-source …

Delamination is a frequently occurring type of damage in laminated fibre reinforced polymer
(FRP) composites and causes substantial loss in structural stiffness and usable service life …

Delamination is a frequent failure mode of laminated fiber-reinforced polymer (FRP)
composites structure in aeronautical and other industries, leading to changes in vibration …

Laminated composites constitute a crucial family of advanced materials for the development
of high-performance components. A classic challenge with this composite family is …

This paper presents a numerical and experimental investigation into the detection of defects
in composite T-stiffened panels using vibration modal analysis. The analysis was performed …

This paper gives a bibliographical review of the finite element methods (FEMs) applied to
the analysis and simulation of smart materials and structures. The bibliography is an …

In this paper, a new neural network learning procedure, called genetic fuzzy hybrid learning
algorithm (GFHLA) is proposed for training the radial basis function neural network …

Delaminations are one of the most prevalent defects noticed in laminated composite
structures. The existence of delaminations changes the vibration characteristics of laminates …