Inverse Estimation of Material Model Parameters Using Digital Image Correlation and Ensemble-Based Four-Dimensional Variational Methods-Reference-Cited by-同舟云学术

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Inverse Estimation of Material Model Parameters Using Digital Image Correlation and Ensemble-Based Four-Dimensional Variational Methods

Published:2024-08-01 Issue:8 Volume:65 Page:907-913
ISSN:1345-9678
Container-title:MATERIALS TRANSACTIONS
language:en
Short-container-title:Mater. Trans.

Author:

Sueki Sae¹,Ishii Akimitsu²,Yamanaka Akinori³

Affiliation:

1. Department of Mechanical Systems Engineering, Graduate School of Engineering, Tokyo University of Agriculture and Technology

2. International Center for Young Scientists, National Institute for Materials Science

3. Division of Advanced Mechanical Systems Engineering, Institute of Engineering, Tokyo University of Agriculture and Technology

Publisher

Japan Institute of Metals

Link

https://www.jstage.jst.go.jp/article/matertrans/65/8/65_MT-P2024002/_pdf

Reference16 articles.

1. 1) J.H. Kim, D. Kim, H.N. Han, F. Barlat and M.G. Lee: Strain rate dependent tensile behavior of advanced high strength steels: Experiment and constitutive modeling, Mater. Sci. Eng. A 559 (2013) 222–231. doi:10.1016/j.msea.2012.08.087

2. 2) T. Kuwabara, T. Mori, M. Asano, T. Hakoyama and F. Barlat: Material modeling of 6016-O and 6016-T4 aluminum alloy sheets and application to hole expansion forming simulation, Int. J. Plast. 93 (2017) 164–186. doi:10.1016/j.ijplas.2016.10.002

3. 3) A. Andrade-Campos, S. Coppieters and M. Strano: Optimization and inverse analysis in metal forming: scientific state-of-the-art and recent trends, Int. J. Mater. Form. 15 (2022) 44. doi:10.1007/s12289-022-01690-8

4. 4) F. Pierron and M. Grédiac: Towards Material Testing 2.0. A review of test design for identification of constitutive parameters from full-field measurements, Strain 57 (2021) e12370. doi:10.1111/str.12370

5. 5) A. Maček, B. Starman, N. Mole and M. Halilovič: Calibration of Advanced Yield Criteria Using Uniaxial and Heterogeneous Tensile Test Data, Metals 10 (2020) 542. doi:10.3390/met10040542

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