| About this Abstract |
| Meeting |
2025 TMS Annual Meeting & Exhibition
|
| Symposium
|
Verification, Calibration, and Validation Approaches in Modeling the Mechanical Performance of Metallic Materials
|
| Presentation Title |
Uncertainty Quantified Parametrically
Upscaled Constitutive Models for Fatigue Nucleation in Polycrystalline Metallic Materials |
| Author(s) |
Somnath Ghosh, Deniz Ozturk, Shravan Kotha, Kishore Nair, Tawqeer Tak |
| On-Site Speaker (Planned) |
Somnath Ghosh |
| Abstract Scope |
This paper will discuss an uncertainty-qualified, parametrically upscaled constitutive model (UQ-PUCM) for microstructure-informed macro-scale modeling of fatigue crack nucleation in Ti alloys. The PUCMs are thermodynamically consistent, macroscopic constitutive models, whose parameters are explicit functions of Representative Aggregated Microstructural Parameters (RAMPs) that represent statistical distributions of morphological and crystallographic descriptors of the microstructure. Machine learning tools operate on datasets generated by crystal plasticity FEM to obtain functional forms of constitutive parameters. The UQ-PUCM framework is built using Bayesian inference to a database of homogenized CPFEM to derive probabilistic microstructure-dependent macroscopic constitutive laws of material response. Three uncertainties are discussed, viz: (i) model reduction error, (ii) data sparsity, and (iii) microstructural variability. A series expansion-based uncertainty propagation method is developed. The UQ-PUCM framework is validated by comparing the stochastic predictions with a collection of CPFEM-based results and limited experimental data on Ti alloys. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Titanium, Mechanical Properties, Other |