Identification of Failure Modes in Composites from Clustered Acoustic Emission Data Using Pattern Recognition and Wavelet Transformation

2012 ◽  
Vol 38 (5) ◽  
pp. 1087-1102 ◽  
Author(s):  
V. Arumugam ◽  
C. Suresh Kumar ◽  
C. Santulli ◽  
F. Sarasini ◽  
A. Joseph Stanley
Keyword(s):  
Pattern Recognition ◽  
Acoustic Emission ◽  
Wavelet Transformation ◽  
Failure Modes ◽  
Emission Data

scholarly journals Application of Acoustic Emission Technique for Bond Characterization in FRP-Masonry Systems

2014 ◽  
Vol 624 ◽  
pp. 534-541 ◽  
Author(s):  
Bahman Ghiassi ◽  
Els Verstrynge ◽  
Paulo B. Lourenço ◽  
Daniel V. Oliveira
Keyword(s):  
Acoustic Emission ◽  
Failure Mode ◽  
Failure Modes ◽  
Clear Distinction ◽  
Acoustic Emission Technique ◽  
Emission Data ◽  
Bond Behavior ◽  
Damage Propagation ◽  
Lap Shear ◽  
Bond Tests

The acoustic emission (AE) technique is used for investigating the interfacial fracture and damage propagation in GFRP-and SRG-strengthened bricks during debonding tests. The bond behavior is investigated through single-lap shear bond tests and the fracture progress during the tests is recorded by means of AE sensors. The fracture progress and active debonding mechanisms are characterized in both specimen types with the aim of AE outputs. Moreover, a clear distinction between the AE outputs of specimens with different failure modes, in both SRG-and GFRP-strengthened specimens, is found which allows characterizing the debonding failure mode based on acoustic emission data.

scholarly journals A Pattern Recognition Approach to Acoustic Emission Data Originating from Fatigue of Wind Turbine Blades

Sensors ◽  
2017 ◽  
Vol 17 (11) ◽  
pp. 2507 ◽  
Author(s):  
Jialin Tang ◽  
Slim Soua ◽  
Cristinel Mares ◽  
Tat-Hean Gan
Keyword(s):  
Pattern Recognition ◽  
Acoustic Emission ◽  
Wind Turbine ◽  
Turbine Blades ◽  
Wind Turbine Blades ◽  
Emission Data ◽  
Pattern Recognition Approach

Optimization of acoustic emission parameters to discriminate failure modes in glass–epoxy composite laminates using pattern recognition

2018 ◽  
Vol 18 (4) ◽  
pp. 1253-1267 ◽  
Author(s):  
Suresh Kumar Chelliah ◽  
Pabitha Parameswaran ◽  
Sengottuvelusamy Ramasamy ◽  
Arumugam Vellayaraj ◽  
Srinivasan Subramanian
Keyword(s):  
Pattern Recognition ◽  
Acoustic Emission ◽  
Composite Laminates ◽  
Failure Modes ◽  
Epoxy Composite

Diagnosis of damage evolution process for asphalt mixtures using pattern recognition with acoustic emission signals

2021 ◽  
Vol 280 ◽  
pp. 122536
Author(s):  
Xin Qiu ◽  
Jingxian Xu ◽  
Wenyi Xu ◽  
Qing Yang ◽  
Feng Wang ◽  
...  
Keyword(s):  
Pattern Recognition ◽  
Acoustic Emission ◽  
Damage Evolution ◽  
Asphalt Mixtures ◽  
Evolution Process

scholarly journals Acoustic Emission Characteristics and Joint Nonlinear Mechanical Response of Rock Masses under Uniaxial Compression

Energies ◽  
2021 ◽  
Vol 14 (1) ◽  
pp. 200
Author(s):  
Zhongliang Feng ◽  
Xin Chen ◽  
Yu Fu ◽  
Shaoshuai Qing ◽  
Tongguan Xie
Keyword(s):  
Acoustic Emission ◽  
Uniaxial Compression ◽  
Inclination Angle ◽  
Failure Modes ◽  
Strain Curve ◽  
Particle Flow Code ◽  
Rock Masses ◽  
Physical Experiments ◽  
Inclination Angles ◽  
Joint Inclination

The joint arrangement in rock masses is the critical factor controlling the stability of rock structures in underground geotechnical engineering. In this study, the influence of the joint inclination angle on the mechanical behavior of jointed rock masses under uniaxial compression was investigated. Physical model laboratory experiments were conducted on jointed specimens with a single pre-existing flaw inclined at 0°, 30°, 45°, 60°, and 90° and on intact specimens. The acoustic emission (AE) signals were monitored during the loading process, which revealed that there is a correlation between the AE characteristics and the failure modes of the jointed specimens with different inclination angles. In addition, particle flow code (PFC) modeling was carried out to reproduce the phenomena observed in the physical experiments. According to the numerical results, the AE phenomenon was basically the same as that observed in the physical experiments. The response of the pre-existing joint mainly involved three stages: (I) the closing of the joint; (II) the strength mobilization of the joint; and (III) the reopening of the joint. Moreover, the response of the pre-existing joint was closely related to the joint’s inclination. As the joint inclination angle increased, the strength mobilization stage of the joint gradually shifted from the pre-peak stage of the stress–strain curve to the post-peak stage. In addition, the instantaneous drop in the average joint system aperture (aave) in the specimens with medium and high inclination angles corresponded to a rapid increase in the form of the pulse of the AE activity during the strength mobilization stage.

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