Abstract
The Experimentally Enhanced Computations project was motivated by the combined availability of advanced diagnostics such as digital image correlation (DIC) and non-quadratic, anisotropic yield functions for metals that have been implemented in computational mechanics codes. Here we propose to investigate the use of DIC combined with inverse methods as an alternative to traditional model calibration methods. The objective of this novel approach is to reduce the number of tests required for calibration, thus expediting the calibration process.
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Sandia National Laboratories is a multimission laboratory managed and operated by National Technology and Engineering Solutions of Sandia, LLC., a wholly owned subsidiary of Honeywell International, Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA-0003525.
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Corona, E., Kramer, S., Jones, A. (2019). Experimentally Enhanced Computations: Calibration Methodology for an Anisotropic Metal, Part I: Traditional Approach. In: Baldi, A., Quinn, S., Balandraud, X., Dulieu-Barton, J., Bossuyt, S. (eds) Residual Stress, Thermomechanics & Infrared Imaging, Hybrid Techniques and Inverse Problems, Volume 7. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. https://doi.org/10.1007/978-3-319-95074-7_9
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DOI: https://doi.org/10.1007/978-3-319-95074-7_9
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