摘要
采用两种极值统计方法 (statisticsofextremvalues ,SEV ;generalizedParetodistribution ,GPD)对某一商用 42CrMo钢的最大夹杂尺寸进行评估 ,并且预测其对应的疲劳强度。与实验结果比较发现 ,两种方法预测的夹杂大小及疲劳强度和超声疲劳实验的结果接近 。
The fatigue behavior and other mechanical properties are influenced by the maximum inclusion in steel. Two methods relating statistics of extremes, i.e., statistics of extreme values (SEV) and generalized Pareto distribution (GPD) are adopted to estimate the maximum inclusion size and the fatigue strength of 42CrMo steel. Comparing with the experimental results, it shows that the estimated results of the two methods are in according with the experimental results. And it also shows that the estimations of the SEV method are more close to the experimental result in small volume of steel.
出处
《机械强度》
CAS
CSCD
北大核心
2004年第z1期165-168,共4页
Journal of Mechanical Strength
基金
国家 973项目资助 (G1 9980 61 5)~~
关键词
钢
夹杂
疲劳强度
极值统计
广义帕雷托分布
Steel
Inclusion
Fatigue strength
Statistics of extreme values
Generalized Pareto distribution