Sustainable incorporation of Plaster of Paris kiln dust for stabilization of dispersive soil: A potential solution for construction industry

B Fatima, B Alshameri, W Hassan, Z Maqsood… - … and Building Materials, 2023 - Elsevier
The presence of dispersive soils in the region of Khushab, Pakistan, has been recognized
as a significant element causative to numerous challenges in construction. This research …

Incorporating potassium-rich waste material in a sustainable way to stabilize dispersive clay: a novel practical approach for the construction industry

W Hassan, B Alshameri, SM Jamil, Z Maqsood… - … and Building Materials, 2023 - Elsevier
The inappropriate use of dispersive clay in constructing roads/highways, embankments, and
other structures causes significant challenges to the construction industry. The dispersive …

Gene expression programming-based multivariate model for earth infrastructure: predicting ultimate bearing capacity of rock socketed shafts in layered soil-rock strata

MN Nawaz, M Haseeb, SU Qamar, W Hassan… - Modeling Earth Systems …, 2024 - Springer
The evaluation of ultimate bearing capacity (Qu) of rock socketed shafts (RSSs) is crucial for
the design of foundation systems. This study proposes a new data-driven multivariate …

An innovative application of fine marble dust for the construction industry to mitigate the piping, internal erosion and dispersion problems of sodium-rich clays

W Hassan, B Alshameri, Z Maqsood, A Haider… - … and Building Materials, 2023 - Elsevier
One potentially dangerous byproduct of marble-cutting plants is fine marble dust (FMD),
which must be disposed of carefully. Its advantageous use as a building material will …

Prediction of soil compaction parameters through the development and experimental validation of Gaussian process regression models

MHA Khan, TH Jafri, S Ud-Din, HS Ullah… - Environmental Earth …, 2024 - Springer
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 …

Integrative Geospatial Analysis: Unveiling Insights through GIS Modeling and Statistical Evaluation of SPT‐N and Soil Types Data of New Kabul City, Afghanistan

M Amini, L Deng, W Hassan, MN Nawaz… - Advances in Civil …, 2024 - Wiley Online Library
The precise evaluation of subsurface soil information is paramount for effective infrastructure
design and planning. Geotechnical soil maps (GSMs) play a pivotal role in estimating …

Predictive modelling of cohesion and friction angle of soil using gene expression programming: a step towards smart and sustainable construction

MN Nawaz, B Alshameri, Z Maqsood… - Neural Computing and …, 2024 - Springer
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 …

Mathematical formulation for predicting moisture damage indices of asphalt mixtures treated with sustainable waste plastic modifiers using gene expression …

S Haider, MN Nawaz, I Hafeez, MM Nawaz… - … and Building Materials, 2024 - Elsevier
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 …

Predictive modeling of Atterberg's limits of soil passing through sieve# 40 and# 200 using artificial neural networks and multivariate regression: advancing sustainable …

SU Qamar, B Alshameri, W Hassan, Z Maqsood… - … Experiments and Design, 2024 - Springer
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 …

Effect of multicollinearity in assessing the compaction and strength parameters of lime-treated expansive soil using artificial intelligence techniques

AK Jangid, J Khatti, KS Grover - Multiscale and Multidisciplinary Modeling …, 2025 - Springer
The current investigation introduces the optimal performance models for predicting the
optimum moisture content (OMC), maximum dry density (MDD), and confined compressive …