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Probabilistic Model of Fatigue Strength

Research and development

Author:

  • Drobina Robert
    Institute of Textile Engineering and Polymer Materials, University of Bielsko-Biala, Bielsko-Biała, Poland

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Abstract:

A literature review relating to problems connected with the evaluation of the fatigue strength of materials was carried out concerning appropriate probabilistic models. It was found out that fatigue strength could be described by the following distributions: exponential, Weibull’s, normal, Gumbel’s, Ferecht’s, Reyleight’s, Gamma and log-normal. However, for modeling the problems of fatigue strength durability of textile materials, probabilistic models based on Weibull’s theory and those based on the log-normal distribution seem to be most useful. The considerations presented also proved that many factors, mainly the kind of material used, the length of fibers in the assembly, the evenness of the thickness of the yarn and the system of spinning, influenced the fatigue strength of linear textile articles.

Tags:

probabilistic model, fatigue strength, stochastic process, material destruction.

Citation:

Drobina R. Probabilistic Model of Fatigue Strength. FIBRES & TEXTILES in Eastern Europe 2013; 21, 3(99): 61-67.

Published in issue no 3 (99) / 2013, pages 61–67.

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