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Computers make it possible to fine-tune and quickly compare various material parameters, such as the ratios and locations of the elements used and their crystal structures.
Many material parameters, such as superplasticizer (SP) and aggregate amount, effected the magnitude of autogenous shrinkage in secondary ways.
The elastic and plastic material parameters such as E, υ, β, d, pa, R and pb were then determined experimentally.
This method provides the unknown material parameters such as mobility and nucleation frequency, and it helps to quantify the occurrence of recrystallization.
Geometric parameters, such as the overlap length and adherend thickness, together with material parameters such as the adherend and adhesive stress strain behaviour, were all tested.
The classic material parameters, such as the elastic modulus and fracture energy release rate are employed for the determination of material response and failure in brittle material.
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Effects of materials parameters such as internal friction and volumetric elasticity have also been investigated.
The identification of the material parameters of such pressure-dependent constitutive models requires a large experimental database taking into account various tensile shear loadings.
A reasonable convergence between the model and experiment was achieved after careful optimisation of initial material parameters as such coefficient of optical absorption and emissivity.
The CT are designed to function as input for the estimation of material model parameters such as the parameters of constitutive equations.
In particular, the simplified model is used to obtain a deeper understanding of the role played by geometric and material modeling parameters such as mesh size and interlaminar strength.
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