Stratified model for estimating fatigue crack growth rate of metallic materials

被引：0

作者：

Yang, YY ^{[1
]}

Liu, XW

Fan, Y

机构：

[1] Beijing Univ Chem Technol, Fac Sci, Beijing 100029, Peoples R China

[2] Beijing Univ Chem Technol, Coll Mech & Engn, Beijing 100029, Peoples R China

[3] Univ Minnesota, Sch Stat, Minneapolis, MN 55455 USA

来源：

APPLIED MATHEMATICS AND MECHANICS-ENGLISH EDITION | 2005年 / 26卷 / 04期

关键词：

fatigue crack; simple random sample; stratified random sample; upper tolerance limit;

D O I：

暂无

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

The curve of relationship between fatigue crack growth rate and the stress strength factor amplitude represented an important fatigue property in designing of damage tolerance limits and predicting life of metallic component parts. In order to have a more reasonable use of testing data, samples from population were stratified suggested by the stratified random sample model (SRAM). The data in each stratum corresponded to the same experiment conditions. A suitable weight was assigned to each stratified sample according to the actual working states of the pressure vessel, so that the estimation of fatigue crack growth rate equation was more accurute for practice. An empirical study shows that the SRAM estimation by using fatigue crack growth rate data from different stoves is obviously better than the estimation from simple random sample model.

引用

页码：515 / 521

页数：7