Year-end Sale % OFF 
Abstract
A probabilistic model for predicting fatigue crack growth rate and cycles to reach a given crack length is presented. The stochastic characterizations of crack growth parameters c and m in the Paris-Erdogan and Forman laws are investigated based upon crack growth experiments. According to the stochastic characterizations of c and m, the statistical distributions of crack growth rate da dN and cycles to reach a given crack length are found using the Monte-Carlo simulation technique. The predicted results agree closely with those of crack growth experiments of aluminium alloy Ly12-cz. It is shown that this model may be used in engineering.
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.
