Probabilistic Analysis for Characteristic Values of Fracture Toughness
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摘要: 针对断裂韧度的不确定性,利用概率理论揭示3试样最小值当量(MOTE)方法的统计意义。基于41个断裂韧度试验数据,通过对母体分布的抽样模拟试验数据,并采用MOTE方法确定模拟数据的断裂韧度特征值,计算其对应的失效概率,并与ASME方法进行对比分析。结果表明:在估计母体的低分位点值时,MOTE方法的置信度较低;采用多试验数据可以得到较为可靠的评定结果,但试验数据大于3时MOTE方法,也只有81.5%的置信度保证断裂韧度特征值低于ASME下限值。
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关键词:
- 断裂韧度 /
- 3试样最小值当量方法 /
- ASME下限值 /
- 概率分析
Abstract: The statistical significance for the method of minimum of three equivalent(MOTE) was revealed on the uncertainty of fracture toughness data, using the probability theory. Large numbers of fracture toughness data sets sampled from a parent distribution, which were fitted by 41 fracture toughness values, were used to simulate the test data. Then the characteristic values of fracture toughness for every data set were determined with the MOTE method. At last the failure probability of a typical cylinder containing surface crack was analyzed for every characteristic value, and compared with ASME low bound. The results show that the confidence level is relatively low to estimate a low quantile of parent distribution. The result of assessment will be more reliability with much more test data. However, the confidence level is only 81.5% to ensure that the characteristic value of fracture toughness from the MOTE method is lower than ASME low bound, even if the number of test data exceeds three. -
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