Abstract
AbstractIn this study, an approach to numerical modeling of short fiber‐reinforced composites is presented. Based on the multi‐scale approach, elastic material parameters are transferred from the mesoscale to the macroscale, while maintaining their stochastic properties. For this, a complete description of the stochastic properties, consisting of mean, standard deviation and correlation structure in the mesoscale is determined. This information provides a basis for the creation of second order Gaussian random fields, which are used for a FEM simulation. An analysis of the numerical simulation, including a comparison with experimental values, shows the influence of the correlation length on the global material behavior. What is more, it can be demonstrated that the standard deviation is a function of the correlation length, while the mean value remains independent of it.
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