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 ...

Abstract: There are some factors that interact to influence the compressive strength of concrete. Traditional prediction methods rely on extensive experimental testing to optimize mix proportions.

Abstract: Concrete is a kind of material widely used in construction, road, bridge and other engineering fields, and occupies an important position in modern engineering construction. However, in ...

Researchers have developed a machine learning-based approach to accurately predict the compressive strength of concrete made with industrial waste, offering a faster and more efficient alternative to ...

This project demonstrates a complete data science workflow, from data loading and cleaning to exploratory data analysis (EDA), visualization, and building a predictive machine learning model. The goal ...

An incorrect number was provided for Youth Project of China State Construction Engineering Corporation. The correct number is CSCEC-2024-Q-75. The original article has been updated. All claims ...