Mr. Cass, a contributing Opinion writer, is the chief economist at American Compass, a conservative economic think tank, and writes the newsletter Understanding America. What comes next? The return of ...

Researchers have developed a hybrid machine learning model combining Gradient Boosting Regression Trees with Bayesian Optimization to accurately predict the compressive strength of self-compacting ...

This work presents comparative analyses of the effect of specimens' shape and size on the compressive strength and modulus of elasticity of mortars. Mortar mixtures with compressive strength between 5 ...

Abstract: This research proposes a stacking machine learning method to accurately predict the compressive strength of recycled concrete. The model integrates eXtreme Gradient Boosting (XGBoost), Extra ...

1 First Construction Engineering Co., Ltd., of China Construction Third Engineering Bureau, Wuhan, China 2 Suzhou City University, Suzhou, China In engineering design, the strength analysis of ...

Overview of concrete compressive strength at 7 days.What is the Compressive strength of M 20 concrete at seven days ANS: The 7 day strength of concrete …Predicting 28 Days Compressive Strength of ...

The enhancement of the thermal conductivity can be utilized to reduce the temperature difference between the internal and external structural surfaces and thus the thermal induced stresses in concrete ...

Abstract: The impacts of using Ground Granulated Blast Furnace Slag (GGBFS) and fly ash as a replacement to Ordinary Portland Cement (OPC) are evaluated. A total of 120 concrete cubic and cylindrical ...

Concrete is the most used construction material in the whole world. More than that, behind water, it’s the most used material, all categories combined. Worldwide, about 10 billion tons of concrete are ...