What is it about?
This paper presents a new method for determining the S-N curve for a low probability of failure, e.g., 5%. To apply this method, only eight fatigue tests are needed, which is fewer than standard methods require. This could be achieved because the standard deviation, which is necessary for estimating the normal distribution of fatigue life, was derived from the distribution of logarithm of the yield strength. The tensile tests necessary to get the yield strength are relatively simple and cost-effective. Verification of the method was performed for fatigue tests on S355J2+C structural steel, 1.4301 and 1.4404 stainless steels, medium carbon steel C45 and AW 6063 & AW 2017A aluminium alloys. The results showed that the proposed method gave fatigue strength for 5% failure probability with a more reliable fatigue life than the S-N curve estimated according to ASTM E-739-10, 2015. Considering that the proposed
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Why is it important?
The paper is important because it offers a reliable, efficient, and conservative method for generating fatigue life data, especially for low-probability-of-failure designs, using fewer resources than traditional methods. It opens up probabilistic fatigue design to a much wider audience and application scope.
Perspectives
Perspective: Opens the door for data-driven fatigue modeling using hybrid physics/statistics/AI methods.
Ph.D. Przemysław Strzelecki
Bydgoszcz University of Science and Technology
Read the Original
This page is a summary of: Method for Determining the S-N curve for a Low Probability of Failure, Journal of Theoretical and Applied Mechanics, October 2024, Polish Society of Theoretical and Applied Mechanics,
DOI: 10.15632/jtam-pl/193746.
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