Abstract
The identification and classification of acoustic emission (AE) based failure modes are complex due to the fact that AE waves are generally released simultaneously from all AE-emitting damage sources. To fully understand the occurrence of damage and the damage evolution law of 3D braided composites, the tensile response characteristics and failure mechanisms of such composites were revealed by experiments, followed by frequency domain analyses. The results indicated good correlation between the number of AE events and the evolution of damage in 3D braided composites. After an AE signal was decomposed by the Hilbert–Huang transform (HHT) method, it might extract and separate all damage modes included in this AE signal. Additionally, the frequency saltation in the HHT spectra implied changes in the failure mode of the 3D braided composites. This study provides an effective new method for the analysis of the tensile fracture mechanism in 3D braided composites.
Highlights
High-performance polymer matrix composites have been widely used in the aviation, aerospace, automotive, and building engineering fields [1]
Baccar and Soeffker examined the acoustic emission (AE) signals generated from laminated carbon fiber reinforced polymer (CFRP) subjected to an indentation test
The continuous wavelet transform was applied to AE signals in order to identify and classify failure modes in laminated composites [8]
Summary
High-performance polymer matrix composites have been widely used in the aviation, aerospace, automotive, and building engineering fields [1]. Benefiting from its dynamic, sensitive, real-time, and anti-interference characteristics, acoustic emission (AE) technology has been gradually applied to the detection of damage in composite materials [5]. Researchers have conducted many studies of the use of AE technology in damage detection in composite materials. Dickinson and Fletcher described in detail the acoustic detection of invisible damage in aircraft composite panels [6]. Baccar and Soeffker examined the AE signals generated from laminated carbon fiber reinforced polymer (CFRP) subjected to an indentation test. The continuous wavelet transform was applied to AE signals in order to identify and classify failure modes in laminated composites [8]. During tensile tests on two ceramic matrix composites, a new waveform-based procedure was proposed for the selection of AE events generated by damage [9]. The procedure included accurate localization and selection assessment based on signal energy
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