Abstract
Fatigue crack-growth of mechanical components is stochastic in nature and deterministic approaches do not allow for its complete study. Primary sources of this stochasticity can be: the inherent variability of material properties, the nature of service load fluctuations, the approximations assumed by the algorithms to calculate the main fracture parameters.This work reports a stochastic approach to the fatigue crack-growth in a railway axle under variability of different input parameters. The approach is used to predict the probability distribution of the residual fatigue life of a railway axle in presence of defects taking into account multiple sources of uncertainty.
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 callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
