The S-N curve generated using accelerated lifetime prediction methods are based on only a few real data points due to the significantly reduced experimental effort. However, the database can be significantly expanded by generating virtual data points, which makes it possible to integrate statistical methods (Point 1).
In order to describe the s
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-
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
Projects funded by the German Federal Ministry for the Environment, Climate Action, Nature Conservation and Nuclear Safety (BMUKN)
Micromagnetic in-situ detection of the microstructural evolution of fatigue-stressed steels of nuclear components for a short-time method for fatigue life prediction
The overall objective of the joint research pro
