Strength distribution in paper

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 compar...

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Bibliographic Details
Published in:Materials science & engineering. A, Structural materials : properties, microstructure and processing Structural materials : properties, microstructure and processing, 1998, Vol.248 (1), p.173-180
Main Authors: Korteoja, M., Salminen, L.I., Niskanen, K.J., Alava, M.J.
Format: Article
Language:English
Subjects:
Applied sciences
Distribution function
Exact sciences and technology
Measurements
Paper, paperboard, non wovens
Polymer industry, paints, wood
Properties and testing
Statistics
Strength
Wood. Paper. Non wovens
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Summary: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.
ISSN:0921-5093
1873-4936
DOI:10.1016/S0921-5093(98)00491-2