Design Rules for Enhanced Interfacial Shear Response in Functionalized Carbon Fiber Epoxy Composites

2017 ◽  
Vol 9 (13) ◽  
pp. 11846-11857 ◽  
Author(s):  
Baris Demir ◽  
Luke C. Henderson ◽  
Tiffany R. Walsh
Keyword(s):  
Carbon Fiber ◽  
Interfacial Shear ◽  
Epoxy Composites ◽  
Design Rules ◽  
Shear Response ◽  
Carbon Fiber Epoxy

Explaining Spring-In in Filament Wound Carbon Fiber/Epoxy Composites

2000 ◽  
Vol 34 (13) ◽  
pp. 1216-1239
Author(s):  
JEFF M. GANLEY ◽  
ARUP K. MAJI ◽  
STEVEN HUYBRECHTS
Keyword(s):  
Carbon Fiber ◽  
Epoxy Composites ◽  
Filament Wound ◽  
Carbon Fiber Epoxy

scholarly journals Relative Entropy Method Applied for the Fatigue Life Distribution of Carbon Fiber/Epoxy Composites

Entropy ◽  
2021 ◽  
Vol 23 (2) ◽  
pp. 224
Author(s):  
Changsheng Yuan ◽  
Yingjie Liang
Keyword(s):  
Experimental Data ◽  
Carbon Fiber ◽  
Relative Entropy ◽  
Least Squares Method ◽  
Entropy Method ◽  
Epoxy Composites ◽  
Order Moment ◽  
Kolmogorov Smirnov ◽  
Relative Entropy Method ◽  
Carbon Fiber Epoxy

This paper verifies the feasibility of the relative entropy method in selecting the most suitable statistical distribution for the experimental data, which do not follow an exponential distribution. The efficiency of the relative entropy method is tested through the fractional order moment and the logarithmic moment in terms of the experimental data of carbon fiber/epoxy composites with different stress amplitudes. For better usage of the relative entropy method, the efficient range of its application is also studied. The application results show that the relative entropy method is not very fit for choosing the proper distribution for non-exponential random data when the heavy tail trait of the experimental data is emphasized. It is not consistent with the Kolmogorov–Smirnov test but is consistent with the residual sum of squares in the least squares method whenever it is calculated by the fractional moment or the logarithmic moment. Under different stress amplitudes, the relative entropy method has different performances.

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