A Short Review on the Application of Bayesian Updating of the Mechanical Property Evaluation on Cementitious Materials

This paper presents the fundamental theories of Bayesian updating techniques and literature reviews on their application of the mechanical property assessments on cementitious materials. The application of Bayesian updating in assessing the mechanical properties of cementitious materials has gained substantial attention owing to its ability to integrate probabilistic modeling and uncertainty quantification. In this review, we explore the utilization of Bayesian updating techniques specifically designed for the probabilistic modeling of cementitious materials i.e., concrete as well as cement-treated soil. The effectiveness of the methodology to incorporate prior knowledge, experimental /simulated data to improve the predictions of material behavior was demonstrated and discussed. By combining existing research and highlighting recent developments, this review gives insights into the efficiency and potential prospects for future progress in using Bayesian updating to increase our understanding and prediction of the mechanical properties of cementitious materials The conclusion of this review highlights the scope and possibilities of applying and improving Bayesian updating of mechanical property assessments on cementitious materials.