Abstract
Fatigue is one of the major reasons of engineering parts failure. Still performing experiments is an effective way for determination of fatigue life. Due to inherent randomness of fatigue data, Bayesian statistics is widely used in the literature. In the present study, modified Shepard method is used to determine the best estimate for fatigue life in replicated tests and results are verified by Bayesian statistical approach. Linear regression method based on ASTM standard is utilized to generate fatigue S–N curve, as well as Tikhonov stabilization method is shown to effectively reduce the influences of measurement noise.
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