In modern engineering, product development increasingly relies on virtual environments, where simulations and measurements of the mechanical response under multiaxial testing conditions are replacing traditional uniaxial tests. Methods that enable accurate material characterization are of key importance, with the digital image correlation (DIC) technique playing a central role. DIC provides experimentally determined strain fields required for the inverse identification of material parameters. This master's thesis will focus on the numerical analysis of the NICE and IRMA algorithms, which are designed for the reconstruction of stress fields from experimental strain data.
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