Geopolymer is an environmentally friendly material that is recognized as a potential
alternative binder to ordinary Portland cement. However, accurate prediction of the …

The bond strength between concrete and corroded steel reinforcement bar is one of the
main responsible factors that affect the ultimate load-carrying capacity of reinforced concrete …

The ability of machine learning (ML) techniques to forecast the shear strength of corroded
reinforced concrete beams (CRCBs) is examined in the present study. These ML techniques …

In this paper, curve-fitting and an artificial neural network (ANN) model were developed to
predict R-Event. Expected number of new infections that arise in any event occurring over a …

The emerging novel variants and re-merging old variants of SARS-CoV-2 make it critical to
study the transmission probability in mixed-mode ventilated office environments. Artificial …

The degradation of reinforced concrete (RC) structures has raised major concerns in the
concrete industry. The demolition of existing structures has shown to be an unsustainable …

Due to the corrosion problem in reinforced concrete structures, the use of fiber-reinforced
polymer (FRP) bars may be preferred in place of traditional reinforcing steel. FRP bars are …

Corrosion of embedded steel reinforcement is the prime influencing factor that deteriorates
the structural performance and reduces the serviceability of reinforced concrete (RC) …

This study addresses a critical gap in concrete strength prediction by conducting a
comparative analysis of three deep learning algorithms: convolutional neural networks …

This paper presents the results of mechanical and micro‐structural properties of geopolymer
mortars with obsidian, ground granulated blast furnace slag, and metakaolin. In this study …