Abstract: In this study, there were two (2) derived models which are the compressive strength and slump workability of concrete with waste ceramic tile without adding any additives using an Artificial ...

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 ...

The American Concrete Institute (ACI) today announced a new release of its ACI CODE-318-25: Building Code for Structural Concrete – Code Requirements and Commentary. According to ACI: This updated ...

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 ...

This research aims to evaluate the compressive strength of FRP-confined columns using machine learning models. By systematically organizing codes and models proposed by various researchers, ...

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 ...

ACI Certification provides the concrete industry with qualified individuals to ensure concrete construction satisfies project specifications and code requirements. Over 375,000 individuals have ...

1 Department of Civil Engineering, College of Engineering Technology, Houn, Libya. 2 Sirte University, Sirte, Libya. 3 Missouri University of Science and Technology, Missouri, USA. The construction ...