Strength distribution in paper

被引:22
|
作者
Korteoja, M
Salminen, LI
Niskanen, KJ
Alava, MJ
机构
[1] KCl Paper Sci Ctr, SF-02151 Espoo, Finland
[2] Helsinki Univ Technol, Lab Computat Engn, SF-02150 Espoo, Finland
[3] Univ Jyvaskyla, Dept Phys, SF-40351 Jyvaskyla, Finland
[4] Helsinki Univ Technol, Phys Lab, FIN-02150 Espoo, Finland
关键词
distribution function; measurements; paper; statistics; strength;
D O I
10.1016/S0921-5093(98)00491-2
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
Tensile strength distributions are studied in four paper samples that exhibit a variety of brittle-to-ductile properties. 1005 tensile specimens were measured in each case. The standard Gumbel and Weibull distributions, and a recently proposed double exponential modification of the former are compared with the observations visually and using chi-squared and Kolmogorov-Smirnov tests. The Gumbel distribution fails to fit the data while the Weibull distribution gives satisfactory agreement. However, the double exponential distribution fits the data best, regardless of the ductility of the material. (C) 1998 Elsevier Science S.A. All rights reserved.
引用
收藏
页码:173 / 180
页数:8
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