Uncertainty Quantification of Concrete Properties at Fresh State and Stability Analysis of the 3D Printing Process by Stochastic Approach

Abstract

This study aims at developing an efficient method that allows quantifying the uncertainties of concrete properties and their effect on the stability of structure during the 3D printing process. Following that, the well-known Bayesian inference will be chosen to characterize the uncertainties of the elastic and plastic properties of the cementitious material at fresh state using the results of experiments available in the literature. These characterized mechanical properties and their associated uncertainty will be then taken as input parameters for the stochastic analysis through which the probability of instability of the printed structure due to plastic and buckling collapses can be estimated. Our numerical results highlight the significant effect of uncertainty on the stability during printing of concrete structure, that has been ignored in the literature.