Data-Driven Constitutive Model for the Inelastic Response of Metals:Application to 316H Steel

Tallman, Aaron E. and Kumar, M. Arul and Castillo, Andrew and Wen, Wei and Capolungo, Laurent and Tomé, Carlos N. (2020) Data-Driven Constitutive Model for the Inelastic Response of Metals:Application to 316H Steel. Integrating Materials and Manufacturing Innovation, 9 (4). pp. 339-357. ISSN 2193-9764

[img]
Text (Tallman_316H_LA-UR-20-21212_rev_clean)
Tallman_316H_LA_UR_20_21212_rev_clean.pdf - Accepted Version
Available under License Creative Commons Attribution-NonCommercial.

Download (2MB)

Abstract

Predictions of the mechanical response of structural elements are conditioned by the accuracy of constitutive models used at the engineering length-scale. In this regard, a prospect of mechanistic crystal-plasticity-based constitutive models is that they could be used for extrapolation beyond regimes in which they are calibrated. However, their use for assessing the performance of a component is computationally onerous. To address this limitation, a new approach is proposed whereby a surrogate constitutive model (SM) of the inelastic response of 316H steel is derived from a mechanistic crystal plasticity-based polycrystal model tracking the evolution of dislocation densities on all slip systems. The latter is used to generate a database of the expected plastic response and dislocation content evolution associated with several instances of creep loading. From the database, a SM is developed. It relies on the use of orthogonal polynomial regression to describe the evolution of the dislocation content. The SM is then validated against predictions of the dead load creep response given by the polycrystal model across a range of temperatures and stresses. When the SM is used to predict the response of 316H during complex non monotonic loading, extrapolating to new loading conditions, it is found that predictions compare particularly well against those from the physics-based polycrystal model.

Item Type:
Journal Article
Journal or Publication Title:
Integrating Materials and Manufacturing Innovation
Additional Information:
The final publication is available at Springer via http://dx.doi.org/10.1007/s40192-020-00181-5
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2200/2209
Subjects:
ID Code:
161487
Deposited By:
Deposited On:
26 Oct 2021 15:40
Refereed?:
Yes
Published?:
Published
Last Modified:
02 Dec 2021 09:07