Abstract
Abstract The statistics of sampling and sub sampling of primary and secondary building materials are reviewed. A Monte Carlo model is described, which is capable of describing the sub sampling process of granular materials at a particle level. The model is demonstrated for the socalled cross-riffling process and for distribution heterogeneity. It is concluded from the computational results as well from experiments, that the model is capable of describing the statistics of a sub sampling process. However, the model should be extended in order to study the influence of the distribution of the critical parameter(s) over the sub samples.
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