A Taxonomy of Global Optimization Methods Based on Response Surfaces
Journal of Global Optimization
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Modeling of hydrating concrete represents a challenging task especially due to multiscale nature and missing mathematical formulation of several underlying phenomena. Missing physical and mathematical description is replaced by cellular automata providing a robust framework. Here, the automata will describe ongoing chemical reaction during concrete hydration and the formation of cement microstructure. Question arises, whether results from the virtual model can be trusted. Kriging/DACE metamodel is applied at prediction of hydration heat solely from experimental datasets. This contribution presents experiences and difficulties encountered during interpolation of experimental results. Particularly, several combinations of regression and correlation parts have been tested and optimized in order to ensure monotonicity of the response. Even though a certain progress is reported in the current paper, the selection of the proper model still remains a challenging task.