High-Throughput Material Characterization using the Virtual Fields Method

Technical Report · Sat Sep 01 04:00:00 EDT 2018

DOI:https://doi.org/10.2172/1474817· OSTI ID:1474817

Jones, Elizabeth M. C. ^[1]; Carroll, Jay ^[1]; Karlson, Kyle N. ^[1]; Kramer, Sharlotte Lorraine Bolyard ^[1]; Lehoucq, Richard B. ^[1]; Reu, Phillip L. ^[1]; Seidl, Daniel Thomas ^[1]; Turner, Daniel Z. ^[1]

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1. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

Modeling material and component behavior using finite element analysis (FEA) is critical for modern engineering. One key to a credible model is having an accurate material model, with calibrated model parameters, which describes the constitutive relationship between the deformation and the resulting stress in the material. As such, identifying material model parameters is critical to accurate and predictive FEA. Traditional calibration approaches use only global data (e.g. extensometers and resultant force) and simplified geometries to find the parameters. However, the utilization of rapidly maturing full-field characterization techniques (e.g. Digital Image Correlation (DIC)) with inverse techniques (e.g. the Virtual Feilds Method (VFM)) provide a new, novel and improved method for parameter identification. This LDRD tested that idea: in particular, whether more parameters could be identified per test when using full-field data. The research described in this report successfully proves this hypothesis by comparing the VFM results with traditional calibration methods. Important products of the research include: verified VFM codes for identifying model parameters, a new look at parameter covariance in material model parameter estimation, new validation techniques to better utilize full-field measurements, and an exploration of optimized specimen design for improved data richness.

• Research Organization: Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States); Sandia National Laboratories (SNL-CA), Livermore, CA (United States)
• Sponsoring Organization: USDOE National Nuclear Security Administration (NNSA)
• DOE Contract Number: AC04-94AL85000
• OSTI ID: 1474817
• Report Number(s): SAND--2018-10635; 668252
• Country of Publication: United States
• Language: English

Related Subjects

36 MATERIALS SCIENCE