| People | Locations | Statistics |
|---|---|---|
| Naji, M. |
| |
| Motta, Antonella |
| |
| Aletan, Dirar |
| |
| Mohamed, Tarek |
| |
| Ertürk, Emre |
| |
| Taccardi, Nicola |
| |
| Kononenko, Denys |
| |
| Petrov, R. H. | Madrid |
|
| Alshaaer, Mazen | Brussels |
|
| Bih, L. |
| |
| Casati, R. |
| |
| Muller, Hermance |
| |
| Kočí, Jan | Prague |
|
| Šuljagić, Marija |
| |
| Kalteremidou, Kalliopi-Artemi | Brussels |
|
| Azam, Siraj |
| |
| Ospanova, Alyiya |
| |
| Blanpain, Bart |
| |
| Ali, M. A. |
| |
| Popa, V. |
| |
| Rančić, M. |
| |
| Ollier, Nadège |
| |
| Azevedo, Nuno Monteiro |
| |
| Landes, Michael |
| |
| Rignanese, Gian-Marco |
|
Engelke, Torben
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (3/3 displayed)
Places of action
| Organizations | Location | People |
|---|
document
Slope estimation of the S-N curve in the log-life fatigue region
Abstract
The S-N curves of many materials are assumed not to show any decrease in the region of the long-life fatigue (LLF). However, test results for many other materials do show fractures in this region (10e7 cycles). These results indicate that the slope of the S-N curves in the LLF region is less steep than that in the high-cycle fatigue (HCF) region (10e4- 10e6 cycles). This study provides a suggestion of how to estimate the slope of the S-N curve in the LLF region by an algorithm according to the method of maximum likelihood. Monte-Carlo simulations test the functionality and accuracy of the algorithm. The results of this test show that the algorithm correctly estimates the slope of the S-N curve in the median. The algorithm should be used for the slope estimation of material groups by using the test data from the various test series. In this study, the slope estimation is performed for austempered ductile iron (ADI) as an example. The slope of the S-N curve of ADI in the LLF region is determined to be k* = 22.