图1：随着迭代次数变化计算的纵向弹性模量的均值
Fig1:Mean of  withrespect to iterations 
图2：随着迭代次数变化的计算的纵向弹性模量的均方差
Fig2:Standard deviation of withrespect to iterations
图3、图4分别给出了随着迭代次数变化时，迭代时选取的纤维弹性模量的均值与方差，从这两个图可以看到当 时，均值与方差已经满足精度要求，此时的均值 GPa，均方差 GPa。
图3：随着迭代次数变化的纤维弹性模量的均值
Fig3: Mean  withrespect to iterations
图4：随着迭代次数变化的纤维弹性模量的均方差
Fig4: Standard deviation  with respect to iterations
4、结论
本文将地质统计学中克里金方法与均匀化方法相结合，考虑复合材料性能随机性，提出了进行复合材料组分材料性能随机性识别的克里金随机分析方法，并用这种克里金随机分析方法对单向纤维增强复合材料随机性进行了分析。在随机性识别反问题中设计了一个迭代程序，通过数值模拟，由单向纤维宏观性能的统计特征反演出纤维的统计特征。
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