Laser vibrometry based detection of delaminations in glass/epoxy composites

MY Amraoui, NAJ Lieven

Research output: Contribution to journalArticle (Academic Journal)

8 Citations (Scopus)

Abstract

The significant progress in sensing and data processing technology has made monitoring and damage detection of engineering structures increasingly attractive. This paper presents a reliable in-situ damage detection technique, which is based upon dynamic analysis of a composite structure using bonded piezo-ceramic patches as actuators and a Scanning Laser Doppler Vibrometer as a sensor. In addition, Neural Networks have been considered to be a viable tool for handling the large number of data. A multilayer perceptron (MLP) neural networks, was trained and tested using the slope, the y-intercept of the linear fit of the root mean square of the Frequency Response Function (FRFrms) and the Deviation of the FRFrms of a candidate composite structure.
Translated title of the contributionLaser vibrometry based detection of delaminations in glass/epoxy composites
Original languageEnglish
Pages (from-to)430 - 436
JournalJournal of Vibration and Acoustics
VolumeVol.126
DOIs
Publication statusPublished - 2004

Bibliographical note

Publisher: ASME

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