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Computational Mechanics
Published in: Computational Mechanics 3/2023

12-04-2023 | Original Paper

An asynchronous parallel high-throughput model calibration framework for crystal plasticity finite element constitutive models

Authors: Anh Tran, Hojun Lim

Published in: Computational Mechanics | Issue 3/2023

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Abstract

Crystal plasticity finite element model (CPFEM) is a powerful numerical simulation in the integrated computational materials engineering toolboxes that relates microstructures to homogenized materials properties and establishes the structure–property linkages in computational materials science. However, to establish the predictive capability, one needs to calibrate the underlying constitutive model, verify the solution and validate the model prediction against experimental data. Bayesian optimization (BO) has stood out as a gradient-free efficient global optimization algorithm that is capable of calibrating constitutive models for CPFEM. In this paper, we apply a recently developed asynchronous parallel constrained BO algorithm to calibrate phenomenological constitutive models for stainless steel 304 L, Tantalum, and Cantor high-entropy alloy.
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Metadata
Title
An asynchronous parallel high-throughput model calibration framework for crystal plasticity finite element constitutive models
Authors
Anh Tran
Hojun Lim
Publication date
12-04-2023
Publisher
Springer Berlin Heidelberg
Published in
Computational Mechanics / Issue 3/2023
Print ISSN: 0178-7675
Electronic ISSN: 1432-0924
DOI
https://doi.org/10.1007/s00466-023-02308-9

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