Innovative concepts for physically based modeling approaches of high-cycle fatigue
|Leitung:||Prof. Dr.-Ing. Udo Nackenhorst in collaboration with Prof. David Neron (LMT, ENS Cachan) and Prof. em. Pierre Ladeveze (LMT ENS Cachan) in the framework of IRTG 1627|
|Bearbeitung:||Mainak Bhattacharyya, Dr.-Ing. Amelie Fau|
|Förderung durch:||International Research Training Group 1627, DFG (German Research Foundation)|
Damage fatigue is generally modelled by phenomenological approaches resulting in S-N curves as traditional approaches fail to consider all the loading cycles. The goal of this project is to propose robust computational schemes able to predict fatigue life even for a large number of cycles.
Constitutive models considered are thermodynamically consistent and based on physical approaches. Model order reduction techniques are used to decrease the computational cost. The first part of this project consists in investigating the robustness of classical model reduction techniques for damage computations.
The second part of the project aims at investigating sophisticated integration scheme in time domain to be able to estimate damage evolution for a high number of cycles.