航空学报 > 2019, Vol. 40 Issue (8): 222853-222853   doi: 10.7527/S1000-6893.2019.22853

C/C复合材料的压缩强度分布与可靠性评估

李湘郡1,2, 李彦斌1,3, 郭飞1,2, 吴邵庆1,2   

  1. 1. 东南大学 空天机械动力学研究所, 南京 211189;
    2. 东南大学 土木工程学院, 南京 211189;
    3. 东南大学 机械工程学院, 南京 211189
  • 收稿日期:2018-12-13 修回日期:2019-02-15 出版日期:2019-08-15 发布日期:2019-04-17
  • 通讯作者: 吴邵庆 E-mail:cesqwu@seu.edu.cn
  • 基金资助:
    国家自然科学基金(11802059);江苏省自然科学基金(BK20170656,BK20180062);江苏省"六大人才高峰"项目(KTHY-005)

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)

摘要: 针对碳/碳(C/C)复合材料力学性能离散的特点,开展穿刺C/C复合材料压缩强度分布与可靠性评估研究。首先通过残差分析确定用于强度分布分析的样本数量,然后通过线性回归分析获得两参数Weibull分布、正态分布及对数正态分布模型的参数,进而探究穿刺C/C复合材料的压缩强度分布规律,最后通过Kolmogorov-Smirnov检验、Anderson-Darling检验和极大似然方法对3种强度分布模型进行拟合优度检验。结果表明:用于获得穿刺C/C复合材料压缩强度分布的最少样本数量应不少于30;Weibull分布、正态分布和对数正态分布模型均可表征穿刺C/C复合材料的压缩强度分布,其中Weibull分布的拟合优度最高;基于强度分布模型可得到不同可靠度所对应的穿刺C/C复合材料的设计强度参考值。

关键词: C/C复合材料, 压缩强度, 可靠性评估, 残差分析, 拟合优度检验

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

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