About this Abstract |
Meeting |
MS&T21: Materials Science & Technology
|
Symposium
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Integration between Modeling and Experiments for Crystalline Metals: From Atomistic to Macroscopic Scales III
|
Presentation Title |
Developing Surrogate Models for Crystal Plasticity-based Creep by Leveraging Macroscale Constitutive Relations |
Author(s) |
Aaron E. Tallman, Laurent Capolungo |
On-Site Speaker (Planned) |
Aaron E. Tallman |
Abstract Scope |
Simulations of metal creep are critical to the design of next-generation powerplants. In candidate material systems, material performance can be tied to precipitate strengthening, dynamic strain aging, and other mechanisms that act at the length scale of individual dislocations. Models of creep that include these mechanisms in a crystal plasticity framework are necessarily complex--compared to traditional materials models used at the component-scale. Approximation or model reduction can be used to deliver the mechanistic response of these advanced materials in a quick-to-execute material model for component scale finite element simulations. Data-driven, regression-based surrogate models can address this need, yet they may behave unpredictably in simulations of complex material responses. We propose a hybrid approach that repurposes kinematic and mechanistic constitutive formulations in a data-driven calibration scheme to generate component-scale surrogate constitutive material models that can provide consistent predictions of transient and steady-state creep and response to changes in load and temperature. |