Dataset Information

Sensitivity-based virtual fields for the non-linear virtual fields method.

ABSTRACT: The virtual fields method is an approach to inversely identify material parameters using full-field deformation data. In this manuscript, a new set of automatically-defined virtual fields for non-linear constitutive models has been proposed. These new sensitivity-based virtual fields reduce the influence of noise on the parameter identification. The sensitivity-based virtual fields were applied to a numerical example involving small strain plasticity; however, the general formulation derived for these virtual fields is applicable to any non-linear constitutive model. To quantify the improvement offered by these new virtual fields, they were compared with stiffness-based and manually defined virtual fields. The proposed sensitivity-based virtual fields were consistently able to identify plastic model parameters and outperform the stiffness-based and manually defined virtual fields when the data was corrupted by noise.

SUBMITTER: Marek A

PROVIDER: S-EPMC6961464 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

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Sensitivity-based virtual fields for the non-linear virtual fields method.

Marek Aleksander A Davis Frances M FM Pierron Fabrice F

Computational mechanics 20170428 3

The virtual fields method is an approach to inversely identify material parameters using full-field deformation data. In this manuscript, a new set of automatically-defined virtual fields for non-linear constitutive models has been proposed. These new sensitivity-based virtual fields reduce the influence of noise on the parameter identification. The sensitivity-based virtual fields were applied to a numerical example involving small strain plasticity; however, the general formulation derived for ...[more]

PMID: 32009700

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Dataset Information

Sensitivity-based virtual fields for the non-linear virtual fields method.

Publications

Sensitivity-based virtual fields for the non-linear virtual fields method.

Similar Datasets

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