| About this Abstract |
| Meeting |
2020 TMS Annual Meeting & Exhibition
|
| Symposium
|
Understanding and Predicting Dynamic Behavior of Materials
|
| Presentation Title |
Predicting Dynamic Strain Rate Response using Model Reification |
| Author(s) |
Jaylen James, Manny Gonzales, Eric Payton, Raymundo Arroyave, Douglas Allaire |
| On-Site Speaker (Planned) |
Jaylen James |
| Abstract Scope |
Fitting constitutive models of alloy viscoplastic and damage response under dynamic loading conditions remains challenging due to experimental variability, testing costs, and microstructural effects. Experimental variability propagates into model parameters during fitting, and even the ubiquitous Johnson-Cook model lacks microstructural awareness. Combining low fidelity models to yield a new, more accurate model has been successfully applied in weather forecasting and lift calculations for aircraft, and provides one way to address current constitutive model shortcomings. In the present work, a technique called reification is used to fuse the Johnson-Cook (J-C) and Zerilli-Armstrong (Z-A) constitutive models. Parameters are obtained using gradient-based minimization from Kolksy bar testing on the high-strength, low-alloy aerospace steel, AF9628. The reified model is compared with the conventional J-C and Z-A models independently fit to the experimental stress-strain observations. The performance of conventional fitting techniques is compared to the reified model via Spall and Taylor Anvil simulations. |
| Proceedings Inclusion? |
Undecided |