Abstract:Precise prediction of the elastic response is crucial to model cracking at early and late ages of cement-based materials and structures. Here, we use Machine Learning (ML) techniques to predict the elastic properties of Ordinary Portland Cement (OPC) pastes. A database with 365 observations is built on experimental studies from in the literature. We show that micromechanicsbased estimations may provide missing data in databases to be interrogated by ML, increasing the accuracy of predictions. Finally, we explo… Show more
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