Title: Bayesian calibration of strength parameters using hydrocode simulations of symmetric impact shock experiments of Al-5083

Abstract

We report that predictive modeling of materials requires accurately parameterized constitutive models. Parameterizing models that describe dynamic strength and plasticity require experimentally probing materials in a variety of strain rate regimes. Some experimental protocols (e.g., plate impact) probe the constitutive response of a material using indirect measures such as free surface velocimetry. Manual efforts to parameterize constitutive models using indirect experimental measures often lead to non-unique optimizations without quantification of parameter uncertainty. This study uses a Bayesian statistical approach to find model parameters and to quantify the uncertainty of the resulting parameters. The technique is demonstrated by parameterizing the Johnson-Cook strength model for aluminum alloy 5083 by coupling hydrocode simulations and velocimetry measurements of a series of plate impact experiments. Simulation inputs and outputs are used to calibrate an emulator that mimics the outputs of the computationally intensive simulations. Varying the amount of experimental data available for emulator calibration showed clear differences in the degree of uncertainty and uniqueness of the resulting optimized Johnson-Cook parameters for Al-5083. The results of the optimization provided a numerical evaluation of the degree of confidence in model parameters and model performance. Lastly, given an understanding of the physical effects of certain model parameters, individualmore » parameter uncertainty can be leveraged to quickly identify gaps in the physical domains covered by completed experiments.« less

Authors:

Walters, David J.  ^[1];

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• Search DOE PAGES for ORCID "0000-0002-2888-1976"

Biswas, Ayan  ^[1];

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• Search DOE PAGES for ORCID "0000-0002-1485-3608"

Lawrence, Earl Christopher  ^[1];

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• Search DOE PAGES for ORCID "0000-0002-6473-1887"

Francom, Devin Craig  ^[1];

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• Search DOE PAGES for ORCID "0000-0002-6009-4438"

Luscher, Darby Jon  ^[1];

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• Search DOE PAGES for ORCID "0000-0003-2929-6119"

Fredenburg, David Anthony  ^[1];

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• Search DOE PAGES for ORCID "0000-0002-8541-3263"

Moran, Kelly Renee  ^[2];

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• Search DOE PAGES for ORCID "0000-0003-3551-2885"

Sweeney, Christine Marie  ^[1];

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• Search DOE PAGES for ORCID "0000-0003-2352-490X"

Sandberg, Richard L.  ^[1];

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• Search DOE PAGES for ORCID "0000-0001-9719-8188"

Ahrens, James Paul  ^[1];

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• Search DOE PAGES for ORCID "0000-0001-9378-282X"

Bolme, Cynthia Anne  ^[1]

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• Search DOE PAGES for ORCID "0000-0002-1880-271X"

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+ Show Author Affiliations

1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
2. Duke Univ., Durham, NC (United States); Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

Publication Date:

Tue Nov 27 00:00:00 EST 2018

Research Org.:

Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

Sponsoring Org.:

USDOE Laboratory Directed Research and Development (LDRD) Program

OSTI Identifier:

1489952

Report Number(s):

LA-UR-18-20884
Journal ID: ISSN 0021-8979

Grant/Contract Number:  

89233218CNA000001; AC52-06NA25396

Resource Type:

Accepted Manuscript

Journal Name:

Journal of Applied Physics

Additional Journal Information:

Journal Volume: 124; Journal Issue: 20; Journal ID: ISSN 0021-8979

Publisher:

American Institute of Physics (AIP)

Country of Publication:

United States

Language:

English

Subject:

36 MATERIALS SCIENCE; 71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS