Journals / Turkish Journal of Engineering and Environmental Sciences / 2002 / Cilt: 26 - Sayı: 1

Statistical Analysis of Fracture Strength of Composite Materials Using Weibull Distribution

Pages
45–48
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Using Weibull distribution, the materials' reliability, in other words, the probability distribution according to which the material will fail was obtained.

📌 3 Key Takeaways

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Objective & Hypothesis:In this study, the fracture strength of a carbon-epoxy composite plate has been statistically analysed by Weibull distribution.
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Key Findings & Data:The results obtained vary between 439 MPa and 552 MPa.
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Conclusion & Impact:Using Weibull distribution, the materials' reliability, in other words, the probability distribution according to which the material will fail was obtained.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Weibull distribution · Rapture strength · Composite materials

Abstract

In this study, the fracture strength of a carbon-epoxy composite plate has been statistically analysed by Weibull distribution. Nineteen tension tests were carried out. The results obtained vary between 439 MPa and 552 MPa. Using Weibull distribution, the materials' reliability, in other words, the probability distribution according to which the material will fail was obtained.

Özet

In this study, the fracture strength of a carbon-epoxy composite plate has been statistically analysed by Weibull distribution. Nineteen tension tests were carried out. The results obtained vary between 439 MPa and 552 MPa. Using Weibull distribution, the materials' reliability, in other words, the probability distribution according to which the material will fail was obtained.

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Cite This Article

DİRİKOLU, M. H., AKTAŞ, A., BİRGÖREN, B. (2002). Statistical Analysis of Fracture Strength of Composite Materials Using Weibull Distribution. Turkish Journal of Engineering and Environmental Sciences, Cilt: 26 - Sayı: 1, 45–48. https://ajindex.com/articles/369252

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