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Material constants are determined using genetic-algorithm optimisation techniques.
Material constants are assumed to have a power law variation across the thickness.
The effects of inter-particle stiffness and particle size on material constants are discussed.
Hyperelastic material constants are obtained and their general prediction ability is verified using FE simulations of PVA tensile experiments.
Material constants are determined by experimental results with a data fitting approach that uses planar stress and strain fields.
Relationships between micro spring parameters and macro material constants are derived from the Cauchy-born rules and the hyperelastic theory.
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An illustrative example with some special chosen material constants is further considered.
A series of material constants was also calculated and compared to lead-based ones.
In a first step, parameters lumping distance and material constants were estimated by matching a theoretical prediction to experimental data.
The dependence of the dimensionless parameters on material constants is examined.
The behaviour of the material was then modelled using the Gurson Tvergaard Needleman (GTN) approach, and the material constants were identified via the gradient-based inverse method.
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