scholarly journals A dataset of micro-scale tomograms of unidirectional glass fiber/epoxy and carbon fiber/epoxy composites acquired via synchrotron computed tomography during in-situ tensile loading

Data in Brief ◽  
2020 ◽  
pp. 106672
Author(s):  
Mahoor Mehdikhani ◽  
Christian Breite ◽  
Yentl Swolfs ◽  
Martine Wevers ◽  
Stepan V. Lomov ◽  
...  
Carbon ◽  
2014 ◽  
Vol 67 ◽  
pp. 368-376 ◽  
Author(s):  
Xiaofang Hu ◽  
Luobin Wang ◽  
Feng Xu ◽  
Tiqiao Xiao ◽  
Zhong Zhang

Carbon ◽  
2016 ◽  
Vol 109 ◽  
pp. 124-130 ◽  
Author(s):  
Nataliya Kalashnyk ◽  
Eric Faulques ◽  
Jan Schjødt-Thomsen ◽  
Lars R. Jensen ◽  
Jens Chr. M. Rauhe ◽  
...  

2000 ◽  
Vol 34 (13) ◽  
pp. 1216-1239
Author(s):  
JEFF M. GANLEY ◽  
ARUP K. MAJI ◽  
STEVEN HUYBRECHTS

Author(s):  
Alejandra M. Ortiz-Morales ◽  
Imad Hanhan ◽  
Jose Javier Solano ◽  
Michael D. Sangid

Entropy ◽  
2021 ◽  
Vol 23 (2) ◽  
pp. 224
Author(s):  
Changsheng Yuan ◽  
Yingjie Liang

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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