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3D Hi-Nicalon/SiC复合材料室温三点弯曲强度分布
引用本文:吴守军,成来飞,董宁,张立同,徐永东. 3D Hi-Nicalon/SiC复合材料室温三点弯曲强度分布[J]. 复合材料学报, 2005, 22(5): 130-133
作者姓名:吴守军  成来飞  董宁  张立同  徐永东
作者单位:西北工业大学 超高温结构复合材料国防科技重点实验室,西安 710072
基金项目:国家自然科学基金(50272053)资助项目;高等学校优秀青年教师教学科研奖励计划基金(教育部教人司[2002]383号)资助项目;跨世纪优秀人才培养计划基金(教育部科教司[2002]8号)资助项目
摘    要:根据3D Hi-Nicalon/SiC复合材料室温三点弯曲强度实验数据,以Weibull分布为假设分布,采用图解法结合逐步回归优选法进行参数估计,探讨了该复合材料的弯曲强度分布。并根据Kolmogorov非参数检验,对假设分布进行了检验。结果表明:该3D Hi-Nicalon/SiC复合材料室温三点弯曲强度可以采用σu=0,Weibull模数m=8. 1545的两参数Weibull分布表征,能够采用求解的Weibull分布很好地预测该3D Hi-Nicalon/SiC复合材料的室温弯曲强度。 

关 键 词:Hi-Nicalon/SiC复合材料   弯曲强度   Weibull分布   Kolmogorov检验
文章编号:1000-3851(2005)05-0130-04
收稿时间:2004-10-08
修稿时间:2004-10-082005-02-25

FLEXURAL STRENGTH DISTRIBUTION OF 3D HI-NICALON/SiC IN THREE POINT BENDING TEST AT ROOM TEMPERATURE
WU Shoujun,CHENG Laifei,DONG Ning,ZHANG Litong,XU Yongdong. FLEXURAL STRENGTH DISTRIBUTION OF 3D HI-NICALON/SiC IN THREE POINT BENDING TEST AT ROOM TEMPERATURE[J]. Acta Materiae Compositae Sinica, 2005, 22(5): 130-133
Authors:WU Shoujun  CHENG Laifei  DONG Ning  ZHANG Litong  XU Yongdong
Affiliation:National Key Laboratory of Thermostructure Composites Materials, Northwestern Polytechnical University, Xi’an 710072,China
Abstract:The flexural strength of a 3D Hi-Nicalon/SiC composite was tested using the three point bending method at room temperature and the strength distribution was studied based on Weibull distribution. A graphical method and the stepwise regression were applied to optimizing the estimated parameters. Furthermore, the validity of the assumed distribution was examined by the Kolmogorov test. The results indicate that the statistical distribution of 3D Hi-Nicalon/SiC is in agreement with a two-parameter Weibull distribution characterized by σu=0 and the Weibull modulus, m=8. 1545. The strength distribution of the 3D Hi-Nicalon/SiC composite in the three point bending test can be accurately predicted using the gained two-parameter Weibull distribution.
Keywords:Hi-Nicalon/SiC composite   flexural strength   Weibull distribution   Kolmogorov test
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