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Evaluation of Deformation and Strength Characteristics of Composites Based on Low-Density Polyethylene and Linen Yarn Production Waste by the Methods of Mathematical Statistics

Linear Viscoelasticity of Liquid-Crystalline Polymers

Notes for Contributors ( Mechanics of Composite Materials , Volume 40 , Issue 1 )

Yurii Matveevich Tarnopol'skii (1929-2003)

Mechanics of Composite Materials : Volume 39

Mechanics of Composite Materials : Volume 38

Mechanics of Composite Materials : Volume 37

Mechanics of Composite Materials : Volume 36

Mechanics of Composite Materials : Volume 35

Mechanics of Composite Materials : Volume 34

Mechanics of Composite Materials : Volume 33

Evaluation of Deformation and Strength Characteristics of Composites Based on Low-Density Polyethylene and Linen Yarn Production Waste by the Methods of Mathematical Statistics

Content Provider	Springer Nature Link
Author	Lejnieks, J. E. Kajaks, J. A. Reihmane, S. A.
Copyright Year	2004
Abstract	The possibilities of using various methods of mathematical statistics for processing and analyzing the results of deformation and strength tests on composites made from a low-density polyethylene and linen yarn production waste are evaluated. The hypothesis that the experimental strength data agree with the Gaussian distribution is examined by the Shapiro–Wilk test (W-test.) It is shown that the Gaussian distribution, both for systems unmodified and modified with diphenylmethane diisocyanate (DIC), is valid only for two parameters: the maximum tensile strength σ$_{max}$ and the elastic modulus E $_{t}$. For the other parameters (the relative elongation ε$_{max}$ corresponding to σ$_{max}$, the specific total work of failure A $_{b}$), and the specific work of failure to the tensile strength A $_{max}$), a non-Gaussian distribution is observed. An analysis of measurements for different specimens by the Bartlett test shows that the E $_{t}$ data have equal variances for both systems (with and without DIC), but for the system containing DIC, the σ$_{max}$ data have different variances. A two-factor ANOVA analysis reveals that DIC considerably affects the tensile strength and modulus of composites, but the influence of test conditions is a statistically significant factor only for the modulus. The coefficient of variation is considerably lower for σ$_{max}$ than for E $_{t}$ and can be used as a quantitative measure for the degree of heterogeneity of the composites investigated.
Starting Page	67
Ending Page	74
Page Count	8
File Format	PDF
ISSN	01915665
Journal	Mechanics of Composite Materials
Volume Number	40
Issue Number	1
e-ISSN	15738922
Language	English
Publisher	Kluwer Academic Publishers-Plenum Publishers
Publisher Date	2004-01-01
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Characterization and Evaluation Materials Mechanics
Content Type	Text
Resource Type	Article
Subject	Ceramics and Composites Mechanics of Materials Mathematics Biomaterials Condensed Matter Physics Polymers and Plastics

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