Abstract
2024 aluminum alloy is a common aeronautic material. During operations, construction elements made of aluminum alloys undertake complex cyclic loadings. Therefore, it is important to estimate the influence of these loadings on the durability of the material. Hereby, multiaxial fatigue tests with the same amplitude values of the second invariant of the stress deviator tensor are conducted, and test data are analyzed. The modified Sines method is utilized to predict fatigue experimental data. Results show that the model is accurate enough to fatigue behavior prediction of 2024 aluminum alloy.
Highlights
D uring operations the greatest number of critical components of construction elements undertake complex cyclic loadings, the estimation of their influence on the durability of metal materials is a problem to be solved [14]
N the current study, the multiaxial fatigue study was performed to assess the effect of different loading schemes on the fatigue life of the 2024 aluminum alloy under the condition of the same amplitude of the second invariant of the stress deviator tensor in all tests
The following conclusions can be summarized from the current research: 1. The loading paths might influence significantly the fatigue life results even if the amplitude of the second invariant of the stress deviator tensor is maintained the same in all tests
Summary
D uring operations the greatest number of critical components of construction elements undertake complex cyclic loadings, the estimation of their influence on the durability of metal materials is a problem to be solved [14]. There are a large number of factors that can influence the fatigue behavior of materials under the multiaxial influence These include the change in the ratio of stress amplitudes [14,15,16], the phase angle between the modes of influence [14,15,16,17], the ratio of loading frequencies [18,19], average stresses in the cycle [20,21,22,23,24] and others. The present work is aimed at checking the modified Sines method by means of biaxial fatigue data of the 2024 aluminum alloy at the different ratio of stress amplitudes, angle of phase shift between the modes of influence and ratio of frequencies of biaxial (tension-compression and torsion) influences
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