Identification of delamination defects through covariance of energy change: numerical modeling

Delamination is currently a difficult detectable form of damage in composite laminate materials. This paper presents a method to more easily detect delamination damage within composite materials using finite element analysis modeling, through the covariance of energy change. Lamb waves were introduc...

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Main Authors: Bruhschwein Taylor, Yang Mijia
Format: Article
Language:English
Published: De Gruyter 2016-09-01
Series:Science and Engineering of Composite Materials
Subjects:
Online Access:https://doi.org/10.1515/secm-2014-0271
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author Bruhschwein Taylor
Yang Mijia
author_facet Bruhschwein Taylor
Yang Mijia
author_sort Bruhschwein Taylor
collection DOAJ
description Delamination is currently a difficult detectable form of damage in composite laminate materials. This paper presents a method to more easily detect delamination damage within composite materials using finite element analysis modeling, through the covariance of energy change. Lamb waves were introduced and recorded through an actuator and sensors made of piezoelectric material. The data were then analyzed through the fast Fourier transform (FFT). Using the data from the FFT, the idea of covariance of energy change was suggested to correlate with defect characteristics. By comparing the covariance of energy change in beams with different delamination sizes, thicknesses, and depths, correlations between the covariance of energy loss and defect characteristics were able to be developed. With these correlations, the severity of these damages was able to be quantified.
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spelling doaj.art-4147a8a21d1d4cc99a3f09820860cd782022-12-21T22:38:15ZengDe GruyterScience and Engineering of Composite Materials0792-12332191-03592016-09-0123555156310.1515/secm-2014-0271Identification of delamination defects through covariance of energy change: numerical modelingBruhschwein Taylor0Yang Mijia1Department of Civil and Environmental Engineering, North Dakota State University, Fargo, ND 58108, USADepartment of Civil and Environmental Engineering, North Dakota State University, Fargo, ND 58108, USADelamination is currently a difficult detectable form of damage in composite laminate materials. This paper presents a method to more easily detect delamination damage within composite materials using finite element analysis modeling, through the covariance of energy change. Lamb waves were introduced and recorded through an actuator and sensors made of piezoelectric material. The data were then analyzed through the fast Fourier transform (FFT). Using the data from the FFT, the idea of covariance of energy change was suggested to correlate with defect characteristics. By comparing the covariance of energy change in beams with different delamination sizes, thicknesses, and depths, correlations between the covariance of energy loss and defect characteristics were able to be developed. With these correlations, the severity of these damages was able to be quantified.https://doi.org/10.1515/secm-2014-0271compositecovariance of energy changedelaminationfftlamb wave
spellingShingle Bruhschwein Taylor
Yang Mijia
Identification of delamination defects through covariance of energy change: numerical modeling
Science and Engineering of Composite Materials
composite
covariance of energy change
delamination
fft
lamb wave
title Identification of delamination defects through covariance of energy change: numerical modeling
title_full Identification of delamination defects through covariance of energy change: numerical modeling
title_fullStr Identification of delamination defects through covariance of energy change: numerical modeling
title_full_unstemmed Identification of delamination defects through covariance of energy change: numerical modeling
title_short Identification of delamination defects through covariance of energy change: numerical modeling
title_sort identification of delamination defects through covariance of energy change numerical modeling
topic composite
covariance of energy change
delamination
fft
lamb wave
url https://doi.org/10.1515/secm-2014-0271
work_keys_str_mv AT bruhschweintaylor identificationofdelaminationdefectsthroughcovarianceofenergychangenumericalmodeling
AT yangmijia identificationofdelaminationdefectsthroughcovarianceofenergychangenumericalmodeling