Featured Application This paper helps to summarize the most relevant information on
reactive transport models used to simulate the transport of hydrocarbons. The authors hope …

This article introduces a novel technique to accurately forecast soil stabilization blends'
maximum dry density (MDD). The Naive Bayes (NB) algorithm is employed to develop …

Project Immunization, like piled construction, requires considerations that make them safe
during the period of operation. Pile Settlement (PS), a vital issue in projects, has attracted …

Current trends in modern research revolve around new technologies that can predict
material properties without the expense of time, effort, and experimentation. Adapting …

This study tackles the imperative of energy-efficient building management by marrying
advanced optimization algorithms with heating load (HL) prediction within the realm of …

The utilization of recycled aggregate concrete (RAC) within the construction sector has the
potential to prevent irreversible harm to the environment and reduce the depletion of natural …

Using machine learning models to provide a reliable and accurate model to predict the
compressive strength of high-performance concrete helps save the time-cost and financial …

Ultra-high performance concrete (UHPC) benefits the construction industry due to its
improved flexibility, high workability, durability, and performance compared to normal …

The compressive strength and slump of concrete have highly nonlinear functions relative to
given components. The importance of predicting these properties for researchers is greatly …

Ensuring constructional projects are safe, like stacked structures, requires consideration to
immunize structures over the period. Pile settlement (PS) is an important project problem …