ABSTRACT
Structural build-up describes the stability and early-age strength development of fresh mortar used in 3D printing. It is influenced by several factors, i.e. the composition of the printable material, the printing regime, and the ambient conditions. The existing modelling approaches for structural build-up usually define the model parameters for a specific material composition without considering the influence of the ambient conditions. The goal of this contribution is to explicitly include the temperature dependency in the modelling approach. Temperature changes have significant impact on the structural build-up process: an increase of the temperature leads to a faster dissolution of cement phases and accelerates hydration. The proposed extended model includes temperature dependency using the Arrhenius theory. The new model parameters are successfully calibrated based on Viskomat measurement data using Bayesian inference. Furthermore, a higher impact of the temperature in the re-flocculation as in the structuration stage is observed.
