Experimental Study of the Acoustoelastic Effect on Woven Carbon/Epoxy Composites

2020 ◽  
Vol 49 (5) ◽  
pp. 20190737
Author(s):  
Paulo Pereira ◽  
Dario Almeida Jané ◽  
Antônio Carlos Ancelotti
Keyword(s):  
Experimental Study ◽  
Epoxy Composites ◽  
Acoustoelastic Effect

An Experimental Study of Dropped Ply Region in Composite

2006 ◽  
Vol 326-328 ◽  
pp. 1769-1772
Author(s):  
Chun Wang Zhao ◽  
Yong Ming Xing
Keyword(s):  
Experimental Study ◽  
Stress Concentration ◽  
Failure Mechanisms ◽  
Experimental Results ◽  
Epoxy Composites ◽  
Moire Interferometry ◽  
Concentration Region ◽  
Micro Cracks ◽  
Stress Concentration Region ◽  
Mechanical Study

A micro mechanical study of Carbon/Epoxy composites with internally dropped plies has been made using micro-moiré interferometry. The experimental results show that there is a stress concentration region before the dropped ply. Micro cracks were initiated and propagated in this region. Two failure mechanisms in the dropped ply region were observed.

scholarly journals Travel-Time Difference Extracting in Experimental Study of Rayleigh Wave Acoustoelastic Effect

2014 ◽  
Vol 2014 ◽  
pp. 1-7
Author(s):  
Hu Eryi ◽  
Ying Shao
Keyword(s):  
Experimental Study ◽  
Rayleigh Wave ◽  
Travel Time ◽  
Correlation Method ◽  
Experimental System ◽  
Time Difference ◽  
Acoustoelastic Effect ◽  
Digital Oscilloscope ◽  
Subsurface Stress ◽  
The Fourier Transform

In order to identify the travel-time difference accurately in the experimental study of Rayleigh wave acoustoelastic effect, an experimental system is constructed by the ultrasonic pulser-receiver, digital oscilloscope, Rayleigh wave transmitter and receiver, and a personal computer. And then, the digital correlation method and the Fourier transform frequency analysis method are used to obtain the travel-time difference of the Rayleigh wave corresponding to different subsurface stress conditions. Furthermore, the simulated ultrasonic signals are used to verify the reliability of the two kinds of ultrasonic signal information extracting algorithms, respectively. Finally, the proposed signal processing methods are applied to extract the time delay between different Rayleigh wave signals corresponding to different subsurface stress level.

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