A four-parameters model for fatigue crack growth data analysis

Abstract

A four-parameters model for interpolation of fatigue crack growth data is presented. It has beenvalidated by means of both data produced by the Authors and data collected from Literature. The proposedmodel is an enhanced version of a three-parameters model already discussed in a previous work that has beensuitably modified in order to overcome some drawbacks raised when applied to a quite wider experimental dataset. Results of validation study have also revealed that the new model, besides interpolating accurately crackgrowth data, allows to identify the presence of anomalies in the data sets. For this reason, by a suitable filter tobe chosen depending on the size and number of anomalies, it can be used to remove them and obtain sigmoidalcrack propagation curves smoother than those obtained when the current analysis techniques are used. In theend, possible model parameters correlations are analysed