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- W4220764546 abstract "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 least-squares boosting model is developed to predict the elastic modulus based on compressive strength for normal- and 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." @default.
- W4220764546 created "2022-04-03" @default.
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- W4220764546 date "2022-05-01" @default.
- W4220764546 modified "2023-10-14" @default.
- W4220764546 title "Modulus of elasticity predictions through LSBoost for concrete of normal and high strength" @default.
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- W4220764546 doi "https://doi.org/10.1016/j.matchemphys.2022.126007" @default.
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