Concrete material science

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Predicting rubberized concrete compressive strength using machine learning: A feature importance and partial dependence analysis

Rubberized concrete is a material that is both ecologically friendly and sustainable, and it has been finding more and more usage in building applications recently. In this study, a machine learning model, namely LightGBM, is developed to predict rubberized concrete's compressive strength (CS) using 11 input parameters.

18p viengfa 28-10-2024 2 1 Download

Prediction of compressive strength of concrete at high heating conditions by using artificial neural network-based Bayesian regularization

In this study, an artificial neural networkbased Bayesian regularization (ANN) model is proposed to predict the compressive strength of concrete. The database in this study includes 208 experimental results synthesized from laboratory experiments with 9 input variables related to temperature change and design material composition.

12p viengfa 28-10-2024 2 2 Download