Tomaszewski T, Strzelecki P, Mazurkiewicz A, Musiał J. Probabilistic Estimation of Fatigue Strength for Axial and Bending Loading in High-Cycle Fatigue.
MATERIALS 2020;
13:ma13051148. [PMID:
32150873 PMCID:
PMC7085001 DOI:
10.3390/ma13051148]
[Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Revised: 02/28/2020] [Accepted: 03/03/2020] [Indexed: 11/19/2022]
Abstract
In this paper, the sensitivity to the type of loads (axial and bending loading) of selected construction materials (AW6063 T6 aluminum alloy, S355J2+C structural steel, and 1.4301 acid-resistant steel) in high-cycle fatigue was verified. The obtained S-N fatigue characteristics were described by a probabilistic model of the 3-parameters Weibull cumulative distribution function. The main area of research concerned the correct implementation of the weakest link theory model. The theory is based on a highly-stressed surface area and a highly-stressed volume in the region of the highest stresses. For this purpose, an analytical model and a numerical model based on the finite element method were used. The model that gives the lowest error implemented in specific test conditions was determined on the basis of high-cycle fatigue analysis. For the analyzed materials, it was a highly-stressed volume model based on the weakest link theory.
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