Vibration-based delamination diagnosis and modelling for composite laminate plates

Delamination Monitoring of Composite Plates using Vibration-based Surrogate Assisted Optimisation

With the increasing applications of laminated composites in all kinds of industries, it becomes imperative to detect delamination, a frequently occurring damage which causes substantial stiffness loss in composite structures. This paper presents an approach to assess delaminations (in terms of their size, in-plane location and interface) in fibre reinforced laminated composite plates using natu...

Vibration Analysis of Composite Laminate Plate Excited by Piezoelectric Actuators

Piezoelectric materials can be used as actuators for the active vibration control of smart structural systems. In this work, piezoelectric patches are surface bonded to a composite laminate plate and used as vibration actuators. A static analysis based on the piezoelectricity and elasticity is conducted to evaluate the loads induced by the piezoelectric actuators to the host structure. The load...

Vibration Monitoring of Composite Laminates with Delamination Damage

Delamination Assessment of Multilayer Composite Plates Using Model-based Neural Networks

A procedure for damage detection in multilayer composites is described using model-based neural networks and vibration response measurement. The appropriate finite element model is established to generate the training data of neural networks. Internal delaminations with different sizes and locations are considered as the particular damage scenarios in multilayer composite plates. The damage-ind...

Adaptive Bearings Vibration Modelling for Diagnosis

An adaptive algorithm for vibration signal modeling is proposed in the paper. The aim of the signal processing is to detect the impact signals (shocks) related to damages in rolling element bearings (REB). Damage in the REB may result in cyclic impulsive disturbance in the signal, however they are usually completely masked by the noise. Moreover, impulses may have amplitudes that vary in time d...