Modulus of elasticity predictions through LSBoost for concrete of normal and high strength

In the past, empirical equations and some statistical regression approaches have been developed to estimate the modulus of elasticity of concrete. These methods aim at facilitating the application and design of concrete. But the accuracy and stability of these equations and models need further improvements. In this study, the leastsquares boosting model is developed to predict the elastic modulus based on compressive strength for normaland high-strength concrete. The model is highly accurate and stable, generates better predictions than other models reported in the literature, and thus is promising as a fast, robust, and low-cost tool for elastic modulus estimations.