| 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 |
Bayesian Calibration and Validation of a Physics-Based Crystal Plasticity and Damage Model for Shock Compression and Spall |
| Author(s) |
Justin Wayne Wilkerson |
| On-Site Speaker (Planned) |
Justin Wayne Wilkerson |
| Abstract Scope |
In this work, we present a model parameter calibration procedure for a physics-based crystal plasticity model. The calibration process utilizes a powerful statistics-based Bayesian calibration method. Calibration of the crystal plasticity parameters makes use of experimentally-measured data, i.e. compressive stress–strain response, from ⟨100⟩ and ⟨123⟩ single crystal copper dynamically loaded via Kolsky bar tests. The calibration of damage parameters is achieved using experimentally-measured free-surface velocity history data from plate impact test on ⟨100⟩ and ⟨110⟩ single crystal copper, which generates shock compression followed by dynamic
tensile failure. A validation assessment is then carried out by comparing the calibrated model predictions and experimental measurements of the dynamic tensile damage generated in an impacted bicrystal copper plate. Lastly, a model-informed rationale for the experimentally observed dependence of the spatial distribution of ductile damage (porosity) on crystallography
is provided. |
| Proceedings Inclusion? |
Planned: |