Abstract
In this work, a probabilistic approach to high cycle fatigue failure probability estimation is presented, considering notched components experiencing elasto-plastic material behavior in the notch root due to high mean stresses. A parameterized weakest link model, constituted by a volume integral over the component stress field, is combined with elasto-plastic finite element simulations to account for plasticity induced stress redistributions around notches. In a calibration/prediction methodology, the considered model is applied to fatigue test results of two different aluminum alloys containing tests on eight differently notched sheet specimen types. The results show good agreement between model predictions and test data.
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