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 ...

Researchers have developed a machine learning model that accurately predicts the compressive strength of high-strength concrete, offering a more efficient and reliable alternative to traditional ...

The compressive strength (CS) is the most important parameter in the design codes of reinforced concrete structures. The development of simple mathematical equations for the prediction of CS of ...

working of compressive strength machine.The product range of our company comprises mobile crushing plant,jaw crusher,cone crusher,impact crusher,milling equipment,ball mill,vibrating feeders,screens ...

The compressive strength behavior of high-strength geopolymer concrete (HSGPC) has been studied in this research work with varying alkali concentration using the novel machine learning techniques. The ...

Abstract: The compressive strength of concrete is of utmost importance in ensuring the structural stability and integrity of construction projects. With increasing importance placed on this aspect, ...

Abstract: This research focuses on accurately predicting the compressive strength of Fiber Reinforced Geopolymer Concrete (FRGC) using machine learning techniques, considering the material's ...

Industrial wastes have found great use in the built environment due to the role they play in the sustainable infrastructure development especially in green concrete production. In this research ...

Lifting at your local gym can be intimidating. Here’s a beginner-friendly guide to the weight room. By Alyssa Ages Alyssa Ages is a competitive strongwoman athlete and a former personal trainer, but ...