Birnbaum-Saunders distribution;
carbon composite material;
failure distribution;
inverse Gaussian distribution;
mixture of normal distributions;
size effect;
tensile stress testing;
D O I:
10.2307/1270770
中图分类号:
O21 [概率论与数理统计];
C8 [统计学];
学科分类号:
020208 ;
070103 ;
0714 ;
摘要:
To estimate the probability distribution of the tensile strength of materials, specimens; tested are typically of a variety of sizes, or ''gauge lengths.'' Here, a cumulative damage argument is used to, develop nets models for the strength of a general system that incorporate the size as a variable and are strong competitors to the commonly used Weibull model. These strength distributions can be represented as three-parameter versions of the Birnbaum-Saunders distribution and the inverse Gaussian distribution. Estimation is discussed and illustrations are presented for experimental strength data for carbon fibres and small composite specimens.