导航

ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2019, Vol. 40 ›› Issue (8): 222853-222853.doi: 10.7527/S1000-6893.2019.22853

• Solid Mechanics and Vehicle Conceptual Design • Previous Articles     Next Articles

Compression strength distribution and reliability assessment of C/C composites

LI Xiangjun1,2, LI Yanbin1,3, GUO Fei1,2, WU Shaoqing1,2   

  1. 1. Institute of Aerospace Machinery and Dynamics, Southeast University, Nanjing 211189, China;
    2. School of Civil Engineering, Southeast University, Nanjing 211189, China;
    3. School of Mechanical Engineering, Southeast University, Nanjing 211189, China
  • Received:2018-12-13 Revised:2019-02-15 Online:2019-08-15 Published:2019-04-17
  • Supported by:
    National Natural Science Foundation of China (11802059); Natural Science Foundation of Jiangsu Province (BK20170656,BK20180062); Six Talents Peaks Project in Jiangsu Province (KTHY-005)

Abstract: Considering the discrete characteristics of Carbon/Carbon (C/C) composites, the compression strength distribution and reliability assessment of punctured C/C composites is studied. Firstly, the number of samples used for intensity distribution analysis is determined by residual analysis. Then the parameters of the two-parameter Weibull distribution, normal distribution, and lognormal distribution models are obtained by linear regression analysis. And then the distribution of compressive strength of punctured C/C composites is studied. Finally, the Kolmogorov-Smirnov test, the Anderson-Darling test, and the maximum likelihood method are used to test the goodness of the fit of the three distribution models. The results show that the minimum number of samples used to obtain the compressive strength distribution of punctured C/C composites should be no less than 30 and the Weibull distribution, normal distribution, and lognormal distribution models can all characterize the distribution of compressive strength of punctured C/C composites. The Weibull distribution has the highest goodness of fit. And based on the intensity distribution model, the reference values of designing punctured C/C composites with different reliabilities can be evaluated.

Key words: C/C composites, compressive strength, reliability assessment, residual analysis, goodness-of-fit test

CLC Number: