Publication Date: 2025/01/01
Abstract: In order to prevent failures, a mechanical machine must take into account the impact of cyclic stress. The rotating-beam fatigue tester used in this work determines the fatigue life of EN19, EN354, and EN36C alloy materials. Although probabilistic fatigue evaluation is essential for guaranteeing the service integrity of big mechanical equipment, the combination of multiaxial stress circumstances, limited sample information characteristics, and probabilistic fatigue models remains inadequate in actual engineering. Therefore, a generic probabilistic fatigue evaluation procedure is proposed by efficiently combining the virtual subsample augmentation approach with the enhanced Bootstrap method. Specifically, the random sample regeneration method is first used to expand the small sample fatigue data, and then life distribution information under different stress levels is fused based on the backwards statistical inference method, the S- N curve is fitted with the integrated life dispersion information. Secondly, a new fatigue damage parameter based on the inhibition function is proposed to modify the S-N curve and predict fatigue life. Meantime, the fatigue test of alloy steel with different notch sizes is to be carried out, for different materials EN19, EN354, EN36C alloy. The results show that the impact of notch and size effects on fatigue damage of proposed specimens.
Keywords: Fatigue, Failure Cycle, Notched Specimen, Strain Life Equation.
DOI: https://doi.org/10.5281/zenodo.14565235
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT24DEC1282.pdf
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