Abstract
This attempt proposes a probabilistic framework to predict the High Cycle Fatigue (HCF) behavior of A356-T6 aluminum alloy considering the modifications introduced by the microstructure heterogeneities (the Secondary Dendrite Arming Spacing (SDAS)). The proposed approach was carried out by coupling of Finite Element (FE) simulation, Defect Stress Gradient (DSG) criterion and Monte Carlo (MCS) method. A 3D FE model representing the defective material, was implemented to evaluate the A356 HCF response under different load conditions. Lemaitre-Chaboche's model has been usedto describethe material behavior. The iso-probabilistic Kitagawa-Takahashi corresponding to5%, 50% and 95% of reliability are determined.The reliability of the proposed engineering approach is verified through a comparison with experimental HCF data.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
