Research output: Chapter in Book/Report/Conference proceeding › Chapter › Research › peer-review
Stability of Parameter Identification Using Experiments with a Heterogeneous Stress State. / Shutov, Alexey V.; Kaygorodtseva, Anastasiya A.
Advanced Structured Materials. Springer-Verlag GmbH and Co. KG, 2020. p. 169-180 (Advanced Structured Materials; Vol. 117).Research output: Chapter in Book/Report/Conference proceeding › Chapter › Research › peer-review
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TY - CHAP
T1 - Stability of Parameter Identification Using Experiments with a Heterogeneous Stress State
AU - Shutov, Alexey V.
AU - Kaygorodtseva, Anastasiya A.
PY - 2020/1/1
Y1 - 2020/1/1
N2 - We analyze different strategies used for the identification of material parameters, which appear in a certain model of finite strain viscoplasticity. The main focus is set on the sensitivity of the parameters with respect to measurement errors. In different strategies we combine experimental data obtained from various torsion tests with a heterogeneous stress state. A direct problem is solved using the nonlinear FEM. To estimate the stability of a certain identification strategy we perform Monte Carlo simulations for a series of noisy experimental data. A distance between two sets of material parameters is measured using a special mechanics-based metric. Both the identification of material parameters and the estimation of their stability are illustrated by an example. In this example we employ a set of synthetic experimental data obtained for the steel 42CrMo4. As a material model, we choose a model of finite strain plasticity with a combined isotropic-kinematic hardening.
AB - We analyze different strategies used for the identification of material parameters, which appear in a certain model of finite strain viscoplasticity. The main focus is set on the sensitivity of the parameters with respect to measurement errors. In different strategies we combine experimental data obtained from various torsion tests with a heterogeneous stress state. A direct problem is solved using the nonlinear FEM. To estimate the stability of a certain identification strategy we perform Monte Carlo simulations for a series of noisy experimental data. A distance between two sets of material parameters is measured using a special mechanics-based metric. Both the identification of material parameters and the estimation of their stability are illustrated by an example. In this example we employ a set of synthetic experimental data obtained for the steel 42CrMo4. As a material model, we choose a model of finite strain plasticity with a combined isotropic-kinematic hardening.
UR - http://www.scopus.com/inward/record.url?scp=85069498137&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-23869-8_8
DO - 10.1007/978-3-030-23869-8_8
M3 - Chapter
AN - SCOPUS:85069498137
T3 - Advanced Structured Materials
SP - 169
EP - 180
BT - Advanced Structured Materials
PB - Springer-Verlag GmbH and Co. KG
ER -
ID: 21046690