A comprehensive review on geotechnical properties of alkali activated binder treated expansive soil

M Maheepala, MCM Nasvi, DJ Robert… - Journal of Cleaner …, 2022 - Elsevier
Geopolymer based soil stabilization is an emerging research field as shown by recent
research studies which indicate strong potential of their wide use for sustainable ground …

Recycling and reuse of solid wastes; a hub for ecofriendly, ecoefficient and sustainable soil, concrete, wastewater and pavement reengineering

KC Onyelowe, D Bui Van, O Ubachukwu… - … Journal of Low …, 2019 - academic.oup.com
Ecofriendly, ecoefficient and sustainable civil engineering work has been research with
emphasis on adapting the byproducts of solid waste recycling and reuse to achieving …

Application of 3-algorithm ANN programming to predict the strength performance of hydrated-lime activated rice husk ash treated soil

KC Onyelowe, M Iqbal, FE Jalal, ME Onyia… - … Experiments and Design, 2021 - Springer
Artificial neural network (ANN) method has been applied in the present work to predict the
California bearing ratio (CBR), unconfined compressive strength (UCS), and resistance …

Mix design development for geopolymer treated expansive subgrades using artificial neural network

M Maheepala, MCM Nasvi, DJ Robert… - Computers and …, 2023 - Elsevier
Expansive soils have been inevitable during road constructions due to its widespread
availability. Conventional stabilizers; cement and lime have not been quite reliable in terms …

Artificial neural networks prediction of compaction characteristics of black cotton soil stabilized with cement kiln dust

SA Bunyamin, TS Ijimdiya, AO Eberemu… - Journal of Soft …, 2018 - jsoftcivil.com
Artificial neural networks (ANNs) that have been successfully applied to structural and most
other disciplines of civil engineering is yet to be extended to soil stabilization aspect of …

Unconfined compressive strength prediction of stabilized expansive clay soil using machine learning techniques

M Ahmad, RA Al-Mansob, ABB Ramli, F Ahmad… - … Experiments and Design, 2024 - Springer
This paper evaluates the potential of machine learning techniques, namely, Gaussian
Process Regression (GPR) and Support Vector Machine (SVM), for the prediction of …

Exploring soil geopolymer technology in soft ground improvement: A brief excursion

DC Nwonu - Arabian Journal of Geosciences, 2021 - Springer
Due to environmental concerns of global warming, a new generation of aluminosilicate
binders called geopolymers has gained attention in recent years to replace cement and …

Oxides of carbon entrapment for environmental friendly geomaterials ash derivation

K Onyelowe, AB Salahudeen, A Eberemu… - … Congress and Exhibition …, 2019 - Springer
Environmental friendly, environmental efficient, and sustainable civil engineering works
have been studied with a focus on utilizing the derivatives of solid waste recycling and reuse …

Performance evaluation of fly ash and red mud as geopolymer concrete precursors for rigid pavement application

A Ghosh, GD Ransinchung RN - International Journal of Pavement …, 2024 - Springer
The pre-eminence of concrete as the constitutional material used for rigid pavement
construction has emanated through the millennia thereby amplifying the concern associated …

Predicting subgrade resistance value of hydrated lime-activated rice husk ash-treated expansive soil: A comparison between M5P, support vector machine, and …

M Ahmad, BT Alsulami, RA Al-Mansob, SL Ibrahim… - Mathematics, 2022 - mdpi.com
Resistance value (R-value) is one of the basic subgrade stiffness characterizations that
express a material's resistance to deformation. In this paper, artificial intelligence (AI)-based …