Abstract Machine learning (ML) has become the most successful branch of artificial
intelligence (AI). It provides a unique opportunity to make structural engineering more …

This research work focuses on the investigation of the possible roles of hydrated lime on the
properties of hardened mortars. In this study, the effect of the hydrated lime mortar has been …

This research investigates the potential impact of using PCB as a fibre on the properties of
hardened concrete. PCB fibre-reinforced concrete is durable, innovative and revolutionary …

The purpose of this study is to explore how characteristics of pervious concrete, such as
porosity and compressive strength, are affected by three factors: aggregate size, aggregate …

This paper presents a state-of-the-art hybrid stacked machine learning (ML) model for
predicting the compressive strength of high-performance concrete (HPC). The proposed …

The random distribution of glass and basalt fibers in normal concrete produces a composite
that alters the behavior of hardened concrete members. Hence, it is quite complicated to …

Cement concrete is a standard construction material because it can be shaped easily in the
plastic state, and then, once it hardens, it can withstand enormous compressive forces …

Concrete containing supplementary cementitious materials is vulnerable to carbonation. To
know whether carbonation-initiated corrosion is a risk within the life span of the concrete …

This study focuses on predicting surface chloride concentration (C s) in marine concrete
structures using machine learning (ML) models. The dataset includes input features related …

Energy consumption is consecutively increasing nowadays in residential sectors. So as to
overcome this issue, window openings are provided in the masonry units. The window …