About this Abstract |
Meeting |
2023 TMS Annual Meeting & Exhibition
|
Symposium
|
Mechanical Behavior of Nuclear Reactor Materials and Components III
|
Presentation Title |
Data-driven Surrogate Constitutive Modeling of Mechanical Creep Behavior under Extreme Conditions |
Author(s) |
Andre P. Ruybalid, Aaron Tallman, Christopher Matthews, Laurent Capolungo |
On-Site Speaker (Planned) |
Andre P. Ruybalid |
Abstract Scope |
Nuclear reactor materials are expected to operate safely for decades under extreme environmental circumstances, governed by temperature and pressure cycles, and varying irradiation conditions. In particular, long-term mechanical creep is a prominent deteriorating factor. To extrapolate the measurable creep response into experimentally inaccessible regimes, mechanistic models provide a powerful tool that takes into account the microstructure changes of the material, but are computationally costly and therefore lack direct applicability at the engineering scale. Surrogate constitutive modeling has the potential to bridge the gap between the micro-mechanical models and the engineering scale. In the presented work, a data-driven, constitutive, surrogate model is developed, validated on mechanistic simulations, and integrated within a finite element framework for HT9 and Gr.91 steel alloys. Its predictiveness is demonstrated on various realistic and experimental test-cases, while detailed sensitivity analysis allows for a thorough understanding of how creep in real-world structures is affected by the underlying microstructure. |
Proceedings Inclusion? |
Planned: |
Keywords |
Modeling and Simulation, Computational Materials Science & Engineering, |