The use of supplementary cementitious materials such as slag and recycled aggregate in
concrete can mitigate some of the negative environmental impacts of using virgin materials …

Precisely forecasting how concrete reinforced with fiber-reinforced polymers (FRP) responds
under compression is essential for fine-tuning structural designs, ensuring constructions …

Concrete is widely utilized in construction; however, accurately predicting its compressive
strength is difficult due to the complex relationships within its mixture. Although previous …

The variations in mechanical properties of geopolymer concrete (GPC) prepared with
treated recycled concrete aggregate (RCA) in conjunction with a modified two-stage mixing …

Several giant water diversion projects go through large expansive soil areas in China. It is
challenging to ensure the slope stability of the deep excavated expansive soil canal …

Shear strength prediction for reinforced concrete (RC) beams is a complex non-linear
problem impacted by many factors. Traditional Machine Learning (ML) models for shear …

This study explored nine machine learning (ML) methods, including linear, nonlinear and
integrated learning models, to predict concrete electrical flux metrics reflecting the chloride …

To evaluate the response of a reinforce concrete (RC) building subjected to nonlinear
dynamic loading, it is recommended to use effective stiffness of the members. Currently …

This study addresses the enhanced prevalence of carbonation, a process accelerating steel
reinforcement corrosion in recycled aggregate concrete (RAC) compared to natural …

Steel strands serve as the key load-bearing components of pre-stressed bridges, yet the
identification of effective pre-stress for steel strands is a challenging task. In this study, a time …