Experimental and numerical investigation on fracture behavior of glass/carbon fiber hybrid composites using acoustic emission method and refined zigzag theory

2019 ◽  
Vol 223 ◽  
pp. 110971 ◽  
Author(s):  
Isa Emami Tabrizi ◽  
Adnan Kefal ◽  
Jamal Seyyed Monfared Zanjani ◽  
Cagdas Akalin ◽  
Mehmet Yildiz
Keyword(s):  
Acoustic Emission ◽  
Carbon Fiber ◽  
Numerical Investigation ◽  
Fracture Behavior ◽  
Hybrid Composites ◽  
Acoustic Emission Method ◽  
Emission Method ◽  
Glass Carbon ◽  
Zigzag Theory

scholarly journals Damage Analysis of Composite CFRP Tubes Using Acoustic Emission Monitoring and Pattern Recognition Approach

Materials ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 786 ◽  
Author(s):  
Michal Šofer ◽  
Jakub Cienciala ◽  
Martin Fusek ◽  
Pavel Pavlíček ◽  
Richard Moravec
Keyword(s):  
Pattern Recognition ◽  
Acoustic Emission ◽  
Carbon Fiber ◽  
Boundary Curve ◽  
Acoustic Emission Method ◽  
Time Dependency ◽  
Emission Method ◽  
Fiber Break ◽  
Pattern Recognition Approach ◽  
The Individual

The acoustic emission method has been adopted for detection of damage mechanisms in carbon-fiber-reinforced polymer composite tubes during the three-point bending test. The damage evolution process of the individual samples has been monitored using the acoustic emission method, which is one of the non-destructive methods. The obtained data were then subjected to a two-step technique, which combines the unsupervised pattern recognition approach utilizing the short-time frequency spectra with the boundary curve enabling the already clustered data to be additionally filtered. The boundary curve identification has been carried out on the basis of preliminary tensile tests of the carbon fiber sheafs, where, by overlapping the force versus time dependency by the acoustic emission activity versus time dependency, it was possible to identify the boundary which will separate the signals originating from the fiber break from unwanted secondary sources. The application of the presented two-step method resulted in the identification of the failure mechanisms such as matrix cracking, fiber break, decohesion, and debonding. Besides the comparison of the results with already published research papers, the study presents the comprehensive parametric acoustic emission signal analysis of the individual clusters.

Sign in / Sign up

Export Citation Format

Share Document