Utilisation of statistical approaches within the scope of lifetime prediction methods for notched specimens using the example of unalloyed steels
The construction of dynamically loaded metallic materials and components is usually based on the relation between the stress amplitude and the number of cycles to failure, which is displayed in S-N curve
Use of laboratory infrastructure
For questions regarding the use of the test and analysis facilities at the WWHK, please contact
Dipl.-Ing. (FH) Mario Dieter Elicker (Head of Lab) E-Mail
Dr.-Ing. Fabian Weber (mechanical testing) E-Mail
M. Sc. Janina Koziol (analytics and microscopy) E-Mail
Prof. PD Dr.-Ing. habil. Peter Starke E-
M. Sc. Jan-Erik Nebel Researchgate informationbox
Research project: In-situ and ex-situ characterisation of microstructure evolution in the scanning electron microscope for the development of microstructure models on the model material copper
Use of Kerr microscopy to characterise the damage development in steels
Dr.-Ing. Viktor Lyamkin Researchgate informationbox
Research projects: Micro-magnetic in-situ detection of the micro-structural evolution of steels subjected to fatigue loading in nuclear components for a short-time method for life prediction
Eddy current imaging with vibrating probe for materials science applications
Initial results on the integration of statistical methods into accelerated lifetime prediction using the example of the material C45E were presented at the conference “Steel Innovation” in April 2025. The procedure for generating an S-N curve with density function, to describe the scatter band, is shown and described below.
