Probabilistic Modeling for Cementitious Materials Based on Data of Nanoindentation

By introducing probabilistic modeling approaches, the interface transition zone (ITZ) and bulk paste (BP) of concrete are investigated on basis nanoindentation results, especially with respect to relationship between microstructure mechanical properties cementitious materials. The investigation probability density function (PDF) random field for revealed that same ITZ BP usually yield PDF, which was elaborated from different points view. Specifically, a log-normal distribution best hardness, whereas Weibull gamma were much more suitable modulus both BP. According comparative study correlation structure, obeyed exponential structure associated first-order autoregressive process, basically exhibited similar scale fluctuation. Furthermore, scales fluctuation found be directly related clinker size distance clinkers. Our work provides new approach stochastically materials, where content hydration products controls mean values nano-properties, indentation property dominates nano-topological governs structure.