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Sensitivity-based virtual fields for the non-linear virtual fields method
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DOI：10.1007/s00466-017-1411-6.png)
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Abstract
En 中文
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.
Keywords:
Virtual fields method
Sensitivity-based virtual fields
Inverse identification
Full field measurement
Elasto-plastic
Digital image correlation
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