2002
DOI: 10.1016/s0266-3538(02)00087-8
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Use of acoustic emission to identify damage modes in glass fibre reinforced polyester

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Cited by 266 publications
(193 citation statements)
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“…The signals assigned to the fibre breaks have higher amplitude, quick rising and decaying. This AE signature can be used to train supervised classifier in composite materials [32][33][34]. Nevertheless, in that case the AE signature of the fibre breaks in a matrix will be certainly different and new type of flaws…”
Section: Analysis Of the Acoustic Emission Datamentioning
confidence: 99%
“…The signals assigned to the fibre breaks have higher amplitude, quick rising and decaying. This AE signature can be used to train supervised classifier in composite materials [32][33][34]. Nevertheless, in that case the AE signature of the fibre breaks in a matrix will be certainly different and new type of flaws…”
Section: Analysis Of the Acoustic Emission Datamentioning
confidence: 99%
“…This technique has been widely used on carbon or glass/polyester composites [4][5], carbon or glass/epoxy composites [6][7][8] or polymer reinforced composites [9]. Moreover, some recent studies introduce AE technique to analyse the behaviour of natural fibre composites [10][11][12].…”
Section: Introductionmentioning
confidence: 99%
“…Various parameters are recorded with acoustic emission, such as amplitude, frequency, energy data or waveform parameters. Some studies use a multivariable data analysis to characterise the development of damage by acoustic emission [5,8,13]. Many of them have shown a clear correlation between acoustic emission amplitude and damage mechanisms in composite [6,14].…”
Section: Introductionmentioning
confidence: 99%
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“…Microscopic behavior of fiber matrix interface microdamage is more difficult to be investigated, although it represents a major part of the delamination process. For monitoring microscopic events, Acoustic Emission (AE) is an appropriate tool (Refahi Oskouei & Ahmadi, 2010;Ndiaye et al, 2000;R'Mili et al, 2008;Cesari et al, 2007;Huguet et al, 2002). However, the interpretation of the signals and, hence, the evaluation of the damage stages is a major problem of the AE method.…”
Section: Introductionmentioning
confidence: 99%