Abstract
The discreteness of strength seriously restricts the wider use of Carbon/Carbon (C/C) composites. The strength of C/C composites is studied by using statistical analysis methods. Here, a novel statistical analysis method named B-distribution is proposed to examine the shear strength of C/C composite pins. The method is implemented using a Bayesian inference scheme with a Markov Chain Monte Carlo sampler. Then, the shear-strength distributions of the C/C composites in different directions are calculated by the B-distribution and four traditional statistical models (three-parameter Weibull, two-parameter Weibull, log-normal, and gamma). These are critically analysed by a Kolmogorov-Smirnov (K–S) test and a maximum likelihood test. Next, the effect of the loading direction on the shear strength of C/C composite pin is statistically analysed. The results show that the Bdistribution is the most appropriate statistical distribution for the experimental data. Additionally, it is found that the high reliability shear strengths of C/C composite pin in the 30° and 45° directions are relatively higher, and the high reliability shear strengths of C/C composite pin are relatively lower in the 75° and 90° directions.
Fig. C/C composite specimen and experimental setup: (a) specimens machined from C/C composites; (b) illustration for loading direction; (c) shear fixture
原文链接：https://doi.org/10.1016/j.ceramint.2019.10.275