Advanced concrete technology is the science of efficient, cost‐effective, and safe design in
civil engineering projects. Engineers and concrete designers are generally faced with the …

A crucial factor in the efficient design of concrete sustainable buildings is the compressive
strength (Cs) of eco-friendly concrete. In this work, a hybrid model of Gradient Boosting …

A corrosion prediction model was established based on the genetic algorithm (GA) and back
propagation (BP) neural network to predict the long-term corrosion changes of oil well …

In this study, a general machine learning‐based approach is proposed for fatigue crack
growth rate (FCGR) prediction using multivariate acoustic emission (AE) online monitoring …

Permeability and porosity are key parameters in reservoir characterization for understanding
hydrocarbon flow behavior. While traditional laboratory core analysis is time-consuming …

Application of machine learning (ML) in predicting mortars bond strength contributes to low
experimental cost and high accuracy. This study explores the performance of four ML …

Calcined clay cements have the potential to reduce the carbon footprint of the cement
production sector. However, accurately predicting the engineering properties of this low …

Degradation of the bond between reinforcement steel bars and concrete poses a huge
challenge to the design of sustainable infrastructure. In this study, an initial effort was made …

The experimental design of well cement with durable compressive strength (CS) is
challenging and time-consuming. The current research predicts CS using the enhanced …

Many methods have been developed to determine the solution gas/oil ratio (R s), starting
with experiments, followed by empirical correlations establishments, and recently with …