| About this Abstract |
| Meeting |
2022 TMS Annual Meeting & Exhibition
|
| Symposium
|
Fatigue in Materials: Fundamentals, Multiscale Characterizations and Computational Modeling
|
| Presentation Title |
Microstructure Effects on the Extreme Value Fatigue Response of FCC Metals and Alloys: Effects of Sample Size and Grain Neighborhood |
| Author(s) |
Krzysztof S. Stopka, Mohammadreza Yaghoobi, John Allison, David McDowell |
| On-Site Speaker (Planned) |
Krzysztof S. Stopka |
| Abstract Scope |
Determining the size of representative volume elements (RVEs) for fatigue related applications is difficult. A sufficient volume of material should be addressed to capture the grain/phase heterogeneity that leads to fatigue crack formation at “hot spot” grains. Consequently, single microstructure RVEs are largely computationally intractable and elusive. The present work leverages the open-source PRISMS-Fatigue framework to examine the convergence of extreme value distributions of Fatigue Indicator Parameters (FIPs) in progressively larger polycrystalline microstructures using crystal plasticity finite element method simulations. The results are compared to the traditional method in which ensembles of statistical volume elements (SVEs) are simulated to build up statistics intended to approximate those of a larger volume of material. The RVE size is closely related to the extent of grain nearest neighbor interactions. Accordingly, the sensitivity of local micromechanical response at fatigue hot spot grains is quantitatively investigated by systematically varying the orientations of nearest neighbor grains. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Computational Materials Science & Engineering, ICME, Modeling and Simulation |