Evaluation of data sets usable for validating multiaxial fatigue strength criteria

This paper attempts to establish clear rules for evaluating available experimental data that could be used for validating multiaxial fatigue strength criteria. The goal of these rules is to identify and eliminate experimental data that could lead to erroneous conclusions, that would hide otherwise visible trends or that would result in non-correct bias. Various reasons for rejecting specific data sets are provided and substantiated. Two appendices list references to sources of data that were not accepted as credible (Appendix A), and to data which were accepted as credible (Appendix B) for inclusion in the final benchmark set.

Automated summary

This paper establishes clear rules for evaluating experimental data for validating multiaxial fatigue strength criteria, aiming to identify and eliminate data that could lead to erroneous conclusions, hide trends, or introduce bias. Various reasons for rejecting specific data sets are provided and two appendices list accepted and rejected data sources.