A microstructure-based modeling approach to predict the mechanical properties of Zr alloy with hydride precipitates

Kulkarni, Shank S.; Gupta, Varun; Senor, David J.; Truster, Timothy J.; Soulami, Ayoub; Devanathan, Ram

doi:10.1016/j.commatsci.2021.110654

A microstructure-based modeling approach to predict the mechanical properties of Zr alloy with hydride precipitates

Journal Article · Wed Sep 01 04:00:00 EDT 2021 · Computational Materials Science

DOI:https://doi.org/10.1016/j.commatsci.2021.110654· OSTI ID:1818129

Kulkarni, Shank S. ^[1]; Gupta, Varun ^[2]; Senor, David J. ^[1]; Truster, Timothy J. ^[3]; ^[1]; ^[1]

BATTELLE (PACIFIC NW LAB)
ExxonMobil Upstream Research Company
University of Tennessee

In nuclear reactors, hydrides can form in fuel cladding due to hydrogen absorption in ZIrcaloy and cause embrittlement. This work presents a microstructure-based finite element model to predict the stress-strain response of Zircaloy containing hydrides. Quantitative microstructural details extracted from scanning electron microscopy (SEM) images were used to generate heterogeneous microstructures including the morphology and spatial distribution of hydrides. The constitutive material model for zircaloy in this study is based on crystal plasticity theory which considers the hexagonal close-packed (HCP) atomic structure of Zircaloy material. The hydrides were modeled as brittle material along with a damage model. Hydride formation inside the zircoloy matrix results in residual stress. This phenomenon is also captured in this model. A parametric study has been conducted to understand the effect of volume fraction, orientation, and lamellae thickness of the hydride phase on the mechanical properties of the overall material.

Research Organization:: Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)

Sponsoring Organization:: USDOE

DOE Contract Number:: AC05-76RL01830

OSTI ID:: 1818129

Report Number(s):: PNNL-SA-160261

Journal Information:: Computational Materials Science, Journal Name: Computational Materials Science Vol. 197

Country of Publication:: United States

Language:: English

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