Incorporating potassium-rich waste material in a sustainable way to stabilize dispersive clay: a novel practical approach for the construction industry
The inappropriate use of dispersive clay in constructing roads/highways, embankments, and
other structures causes significant challenges to the construction industry. The dispersive …
other structures causes significant challenges to the construction industry. The dispersive …
A sustainable approach for estimating soft ground soil stiffness modulus using artificial intelligence
Soft soils pose significant challenges to the environment and construction of infrastructure
on them owing to their distinct characteristics such as low bearing strength, high water …
on them owing to their distinct characteristics such as low bearing strength, high water …
Prediction of soil compaction parameters through the development and experimental validation of Gaussian process regression models
The laboratory determination of maximum dry density (ρ dmax) and optimum moisture
content (w opt) of soils requires considerable time and energy. Efforts have been made in …
content (w opt) of soils requires considerable time and energy. Efforts have been made in …
Quantification of resistance to Meloidogyne incognita in okra cultivars using linear and nonlinear analyses of growth parameters and nematode infestations
The intercrop** of corn with forage grasses increases soil cover and may improve soil
structural quality. The objective of the study was to evaluate the soil structural properties and …
structural quality. The objective of the study was to evaluate the soil structural properties and …
Predictive modelling of cohesion and friction angle of soil using gene expression programming: a step towards smart and sustainable construction
To achieve smart and sustainable construction goals, machine learning (ML) techniques can
serve as a cost-effective and efficient substitute for labour-intensive, laboratory, or in situ …
serve as a cost-effective and efficient substitute for labour-intensive, laboratory, or in situ …
Mathematical formulation for predicting moisture damage indices of asphalt mixtures treated with sustainable waste plastic modifiers using gene expression …
Flexible pavements are susceptible to rutting, fatigue, and moisture damage failures. As a
sustainable approach, waste plastic modifiers have been used to improve the moisture …
sustainable approach, waste plastic modifiers have been used to improve the moisture …
Application of machine learning algorithms to evaluate the influence of various parameters on the flexural strength of ultra-high-performance concrete
The effect of various parameters on the flexural strength (FS) of ultra-high-performance
concrete (UHPC) is an intricate mechanism due to the involvement of several inter …
concrete (UHPC) is an intricate mechanism due to the involvement of several inter …
Predictive modeling of Atterberg's limits of soil passing through sieve# 40 and# 200 using artificial neural networks and multivariate regression: advancing sustainable …
This study developed artificial intelligence models to predict Atterberg's limits, specifically
the liquid (LL) and plastic limits (PL), based on# 200 sieve analysis, which is a laborious and …
the liquid (LL) and plastic limits (PL), based on# 200 sieve analysis, which is a laborious and …
Grey-box solution for predicting thermo-mechanical response of rocks
MN Nawaz - Geothermics, 2024 - Elsevier
Evaluating the thermo-mechanical response of rocks under high temperature treatments is
crucial for various engineering geology projects. Current predictions of rock thermo …
crucial for various engineering geology projects. Current predictions of rock thermo …
The main difficulties in urban development, choosing a location, and creating preventative
safety precautions are accurately characterizing and valuing subsurface soil information …
safety precautions are accurately characterizing and valuing subsurface soil information …