| Author Name | Affiliation | Postcode | | Mokhtar Benarioua | Laboratory of Structural Mechanics and Materials, University of Batna 2, Batna 05078, Algeria | 05078 | | Salah Amroune | Laboratory of Materials and Mechanics of Structures (LMMS), Faculty of technology, University of M’sila, M’sila 28000, Algeria | 28000 | | Said Zergane | Laboratory of Materials and Mechanics of Structures (LMMS), Faculty of technology, University of M’sila, M’sila 28000, Algeria | 28000 | | Barhm Mohamad* | Department of Petroleum Technology, Koya Technical Institute, Erbil Polytechnic University, 44001 Erbil, Iraq | 44001 | | Amin Houari | Department of Mechanical Engineering, M’hamed Bougara University of Boumerdes,Boumerdes 35000, Algeria | 35000 | | Khalissa Saada | Laboratory of Materials and Mechanics of Structures (LMMS), Faculty of technology, University of M’sila, M’sila 28000, Algeria | 28000 | | Kouider Madani | Department of Mechanical Engineering, LMSS, University of Djillali Liabes, Sidi Bel Abbes 22000, Algeria | 22000 |
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| Abstract: |
| A detailed comparative examination of the Weibull and Gaussian statistical methods is offered to analyze the mechanical properties of natural date palm fibers. Tensile tests were conducted on 35 fiber samples using a universal testing machine to gather data on stress, strain, and Young""s modulus. This data was then analyzed through both statistical approaches to evaluate their ability to model important mechanical characteristics, including tensile strength, strain at break, and Young""s modulus. The study identifies the strengths and weaknesses of each statistical method when it is applied to natural fibers, emphasizing their suitability for modeling different mechanical properties. The results of this analysis provide important insights that can guide the selection of the most appropriate statistical method, depending on the type of mechanical property being studied and the specific characteristics of the data. This research makes significant contributions to advancing the understanding of natural fiber mechanics and improving the methods used for their characterization. |
| Key words: Weibull distribution, Young modulus, Gaussian distribution, static traction, natural fibers |
| DOI：10.11916/j.issn.1005-9113.2024104 |
| Clc Number:TB332 |
| Fund: |
