Machine learning–driven prediction of mechanical properties of lightweight concrete based on experimental data
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Researchers are using machine learning to predict the mechanical properties of various types of concrete, including lightweight and sustainable concretes. The approaches being explored include different machine learning models, such as deep neural networks and random forest, as well as the incorporation of various materials and optimization techniques. Studies are focusing on predicting properties like compressive strength, tensile strength, and shear strength, with some research also considering the use of waste materials and supplementary cementitious materials.
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