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Abstract
We demonstrate an optical method to directly determine full-field stress by combining a data-driven method with digital image correlation (DIC) strain data. In order to obtain the full-field stress distribution, the full-field strain measured by 2D-DIC and an isotropic ideal elastoplastic material stress–strain dataset are used. The proposed data-driven full-field stress measurement method determines the full-field stress components by performing iterative calculations using the dataset and a distance-functional-based data-driven algorithm without assuming any constitutive equations. The proposed method is implemented in an experiment-in-loop simulation and a practical application. The stress fields of uniaxial tensile and compact tensile processes are determined by the developed algorithm. The results show that the proposed data-driven method can obtain accurate full-field stress using an already established material stress–strain dataset. Furthermore, the proposed method satisfies the equilibrium and compatibility constraints and therefore allows the correction of erroneous strain results from DIC calculations, resulting in more accurately calculated full-field strain and stress values.
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