Schmitz, Sebastian
[Author];
Seibel, Thomas
[Author];
Beck, Tilmann
[Author];
Rollmann, Georg
[Author];
Krause, Rolf
[Author];
Gottschalk, Hanno
[Author]
You can manage bookmarks using lists, please log in to your user account for this.
Media type:
E-Article
Title:
A probabilistic model for LCF
Contributor:
Schmitz, Sebastian
[Author];
Seibel, Thomas
[Author];
Beck, Tilmann
[Author];
Rollmann, Georg
[Author];
Krause, Rolf
[Author];
Gottschalk, Hanno
[Author]
Published:
Elsevier Science, 2013
Published in:Computational materials science 79, 584 - 590 (2013). doi:10.1016/j.commatsci.2013.07.015
Footnote:
Diese Datenquelle enthält auch Bestandsnachweise, die nicht zu einem Volltext führen.
Description:
Fatigue life of components or test specimens often exhibit a significant scatter. Furthermore, size effects have a non-negligible influence on fatigue life of parts with different geometries. We present a new probabilistic model for low-cycle fatigue (LCF) in the context of polycrystalline metal. The model takes size effects and inhomogeneous strain fields into account by means of the Poisson point process (PPP). This approach is based on the assumption of independently occurring LCF cracks and the Coffin–Manson–Basquin (CMB) equation. Within the probabilistic model, we give a new and more physical interpretation of the CMB parameters which are in the original approach no material parameters in a strict sense, as they depend on the specimen geometry. Calibration and validation of the proposed model is performed using results of strain controlled LCF tests of specimens with different surface areas. The test specimens are made of the nickel base superalloy RENE 80.