Accessible Requires Authentication Published by De Gruyter August 18, 2021

Evaluation of S-N curves including failure probabilities using short-time procedures

Ruth Acosta, Christian Boller, Markus Doktor, Haoran Wu, Hanna Jost, Fabian Weber and Peter Starke
From the journal Materials Testing

Abstract

In recent years, different short-time procedures have been developed that significantly reduce the experimental effort required to generate S-N curves and thus S-N databases. Methods like StressLife, StrainLife, and SteBLife are some of those which have shown enormous potential in this respect. In this contribution, the practicability of the SteBLife method is shown. Two S-N curve evaluation strategies based on temperature and magnetic field measurements are presented. These take statistical evaluation into account, describing a material’s scatter in terms of fatigue life. In order to demonstrate the versatility of the approach and to underline the advantages in terms of effort saved when compared to conventional procedures, the process on how to get the required information obtained is shown for three unalloyed and low-alloyed steels under different heat treatment conditions.


University of Applied Sciences Kaiserslautern Department of Materials Science and Materials Testing Institute Quality, Modeling, Machining & Materials Schoenstr.11 D-67659 Kaiserslautern Germany

Acknowledgment

The authors would like to thank the German Research Foundation (Deutsche Forschungsgemeinschaft, DFG STA 1133/ 6-1 and STA 1133/10-1) and the University of Applied Sciences Kaiserslautern for financial support for this research.

The authors would also thank Shimadzu Germany/Europe and Micro-Epsilon for their support in technical equipment provision.

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Published Online: 2021-08-18
Published in Print: 2021-08-31

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