Review of recent developments regarding the durability performance of eco-friendly geopolymer concrete

TS Alahmari, TA Abdalla, MAM Rihan - Buildings, 2023 - mdpi.com
The 21st century has witnessed a substantial increase in the demand for construction
materials, mainly influenced by the growing population. This increase in demand has …

[HTML][HTML] Geotechnical and microstructural analysis of high-volume fly ash stabilized clayey soil and machine learning application

MF Noaman, M Haq, MA Khan, K Ali… - Case Studies in …, 2024 - Elsevier
The weak soil stabilization using solid wastes is one of the most common solutions for
improving geotechnical characteristics as well as for problematic waste dumping in landfills …

Hybrid soft computing models for predicting unconfined compressive strength of lime stabilized soil using strength property of virgin cohesive soil

IT Bahmed, J Khatti, KS Grover - Bulletin of Engineering Geology and the …, 2024 - Springer
This work introduces an optimal performance model for predicting the unconfined
compressive strength (UCS) of lime-stabilized soil using the machine (ensemble tree (ET) …

A Novel Approach to Swell Mitigation: Machine-Learning-Powered Optimal Unit Weight and Stress Prediction in Expansive Soils

A Alnmr, R Ray, MO Alzawi - Applied Sciences, 2024 - mdpi.com
Expansive soils pose significant challenges to structural integrity, primarily due to volumetric
changes that can lead to detrimental consequences and substantial economic losses. This …

Assessment of Unconfined Compressive Strength of Stabilized Soil Using Artificial Intelligence Tools: A Scientometrics Review

B Sari-Ahmed, M Ghrici, A Benzaamia… - New Advances in Soft …, 2024 - Springer
Abstract The Unconfined Compressive Strength (UCS) is a significant geotechnical
parameter that characterizes the behaviour of soils. However, the conventional method of …

RAID: Robust and interpretable daily peak load forecasting via multiple deep neural networks and Shapley values

J Jang, W Jeong, S Kim, B Lee, M Lee, J Moon - Sustainability, 2023 - mdpi.com
Accurate daily peak load forecasting (DPLF) is crucial for informed decision-making in
energy management. Deep neural networks (DNNs) are particularly apt for DPLF because …

[HTML][HTML] Explainable Artificial Intelligence for predicting the compressive strength of soil and ground granulated blast furnace slag mixtures

AMA Mohammed, O Husain, M Abdulkareem… - Results in …, 2025 - Elsevier
Weak soil causes significant challenges during infrastructure development, necessitating
soil stabilization to enhance its engineering properties. The pozzolanic properties of Ground …

Advanced machine learning prediction of the unconfined compressive strength of geopolymer cement reconstituted granular sand for road and liner construction …

KC Onyelowe, AM Ebid, S Hanandeh - Asian Journal of Civil Engineering, 2024 - Springer
The construction of flexible pavement foundations (subgrade and subbase) and landfill
liners has been the cause of serious research in recent decades. In this research work …

Exploring sustainable solutions for soil stabilization through explainable Gaussian process-assisted multi-objective optimization

KK Gupta, D Bhowmik - Materials Today Communications, 2024 - Elsevier
The adoption of sustainable solutions in soil stabilization has piqued the interest of the
scientific community due to the potential reduction in carbon footprint. In this regard, the …

Developing interpretable machine learning-Shapley additive explanations model for unconfined compressive strength of cohesive soils stabilized with geopolymer

AQ Ngo, LQ Nguyen, VQ Tran - PLoS One, 2023 - journals.plos.org
This paper seeks to develop an interpretable Machine Learning (ML) model for predicting
the unconfined compressive strength (UCS) of cohesive soils stabilized with geopolymer at …