Vibration Parameters for Impact Detection of Composite Panel: A Neural Network Based Approach

Maurizio Arena,Massimo Viscardi

doi:10.3390/jcs5070185

Maurizio Arena, Massimo Viscardi

Open Access

https://doi.org/10.3390/jcs5070185

Copy DOI

Abstract

The need for reliable methodologies for structural monitoring is certainly a current line of research in many engineering sectors. The detection of the impact on composite materials is in fact a recent subject of study, aimed at safeguarding the mechanical integrity and improving the useful life of structural components. In such a context, the work deals with evaluation of the use of neural algorithms for localizing the position of the impacts on composite structures. Starting from FE (finite element) simulations, representative of the dynamic response of a CFRP (Carbon Fiber Reinforced Polymer) panel as a benchmark, the approach has been finally validated experimentally by modal parameters identification.

Highlights

The aim of the current lines of research in the structural field is the development of “intelligent” systems with fully integrated sensor networks to constantly monitor their operational functioning [1,2]
The present paper aims to investigate the potential possibility for predicting stochastic events such as impacts with an artificial neural network (ANN)
FE Model Validation Based on Modal Analysis bias learning function (LEARNGDM)

Summary

Introduction

The aim of the current lines of research in the structural field is the development of “intelligent” systems with fully integrated sensor networks to constantly monitor their operational functioning [1,2]. The system should be able to recognize external events of various nature (temperature, pressure, and vibrations) in order to quickly identify possible inspection actions for safeguarding structural integrity [3]. Dropping debris or tools leads to high-frequency vibrations predictable by ultrasonic techniques. Impacts due to bird strike could represent a dynamic source exciting the modal vibrations in the low-frequency range. Composite based structures are greatly vulnerable to impact damage, which could lead to delamination of the ply, which is often very difficult to detect externally and can lead to a dramatic reduction in design strength and service life.

Objectives

Results

Conclusion