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Dr Eyo Eyo's Outputs (26)

Wet–dry cycles and microstructural characteristics of expansive subgrade treated with sustainable cementitious waste materials (2023)
Journal Article

This work presents an experimental study on the physico-mechanical and microstructural characteristics of stabilised soils and the effect of wetting and drying cycles on their durability as road subgrade materials. The durability of expansive road su... Read More about Wet–dry cycles and microstructural characteristics of expansive subgrade treated with sustainable cementitious waste materials.

Shear response of Lime/GGBS-Stabilised High-Sulphate-Bearing Clay under consolidated-undrained conditions (2022)
Journal Article

This study investigated the consolidated undrained shear behaviour of a stabilised high-sulphate soil system. Lime was used to stabilise the soil with the inclusion of ground granulated blast furnace slag (GGBS) as an ettringite suppressor. Both volu... Read More about Shear response of Lime/GGBS-Stabilised High-Sulphate-Bearing Clay under consolidated-undrained conditions.

Using Artificial Intelligence techniques to predict intrinsic compressibility characteristic of Clay (2022)
Journal Article

Reconstituted clays have often provided the basis for the interpretation and modelling of the properties of natural clays. The term “intrinsic” was introduced to describe a clay remoulded or reconstituted at moisture content up to 1.5 times its liqui... Read More about Using Artificial Intelligence techniques to predict intrinsic compressibility characteristic of Clay.

Strength predictive modelling of soils treated with calcium-based additives blended with eco-friendly pozzolans—A machine learning approach (2022)
Journal Article

The unconfined compressive strength (UCS) of a stabilised soil is a major mechanical parameter in understanding and developing geomechanical models, and it can be estimated directly by either lab testing of retrieved core samples or remoulded samples... Read More about Strength predictive modelling of soils treated with calcium-based additives blended with eco-friendly pozzolans—A machine learning approach.

Multiclass stand-alone and ensemble machine learning algorithms utilised to classify soils based on their physico-chemical characteristics (2021)
Journal Article

This study has provided an approach to classify soil using machine learning. Multiclass elements of stand-alone machine learning algorithms (i.e. logistic regression (LR) and artificial neural network (ANN)), decision tree ensembles (i.e. decision fo... Read More about Multiclass stand-alone and ensemble machine learning algorithms utilised to classify soils based on their physico-chemical characteristics.

Experimental study on early age characteristics of lime-GGBS-treated gypseous clays under wet-dry cycles (2021)
Journal Article

Gypseous soils are capable of presenting ground construction challenges to civil and geotechnical engineers due to their unpredictable deformation characteristics. These undesirable responses are sometimes caused by environmental changes in moisture... Read More about Experimental study on early age characteristics of lime-GGBS-treated gypseous clays under wet-dry cycles.

Improved prediction of clay soil expansion using machine learning algorithms and meta-heuristic dichotomous ensemble classifiers (2021)
Journal Article

Soil swelling-related disaster is considered as one of the most devastating geo-hazards in modern history. Hence, proper determination of a soil's ability to expand is very vital for achieving a secure and safe ground for infrastructures. Accordingly... Read More about Improved prediction of clay soil expansion using machine learning algorithms and meta-heuristic dichotomous ensemble classifiers.

Machine learning regression and classification algorithms utilised for strength prediction of OPC/by-product materials improved soils (2021)
Journal Article

In this study, stand-alone machine (ML) models (Bayesian regressor (BLR), least square linear regressor (REG), artificial neural networks (ANN), and logistic regression (LR)), tree-ensemble ML models (boosted decision tree (BDT), random decision fore... Read More about Machine learning regression and classification algorithms utilised for strength prediction of OPC/by-product materials improved soils.

Experimental study on the use of RoadCem blended with by-product cementitious materials for stabilisation of clay soils (2021)
Journal Article

This work presents an experimental study on the physical, mechanical and microstructural characteristics of two clay soils treated with by-product materials (GGBS and PFA) blended with a nano technology-based additive called RC (RC). The soils were i... Read More about Experimental study on the use of RoadCem blended with by-product cementitious materials for stabilisation of clay soils.

Microstructure and physical-mechanical characteristics of treated kaolin-bentonite mixture for application in compacted liner systems (2021)
Journal Article

Treated bentonite-rich soils used as liner materials in landfills may provide an effective solution to the problems of increased void ratios upon swelling at reduced suction as well as desiccation cracking when suction is increased during desaturatio... Read More about Microstructure and physical-mechanical characteristics of treated kaolin-bentonite mixture for application in compacted liner systems.

Appropriate use of lime in the study of the physicochemical behaviour of stabilised lateritic soil under continuous water ingress (2020)
Journal Article

Licensee MDPI, Basel, Switzerland. Lime stabilisation is one of the traditional methods of improving the engineering properties of lateritic soils for use as subgrade and foundation materials for the construction of road pavements and highway embankm... Read More about Appropriate use of lime in the study of the physicochemical behaviour of stabilised lateritic soil under continuous water ingress.

Incorporation of a nanotechnology-based product in cementitious binders for sustainable mitigation of sulphate-induced heaving of stabilised soils (2020)
Journal Article

Sulphate-induced heaving in soils is a common problem caused mostly by the use of calcium-based binders in the stabilisation of sulphate-bearing soils. Sulphate-induced heaving is attributed to precipitation and growth of ettringite minerals in a hig... Read More about Incorporation of a nanotechnology-based product in cementitious binders for sustainable mitigation of sulphate-induced heaving of stabilised soils.

Mechanical properties and microstructure of fibre-reinforced clay blended with by-product cementitious materials (2020)
Journal Article

Clayey soils endure adverse changes in strength and volume due to seasonal changes in moisture content and temperature. It has been well recognised that high cement content has been successfully employed in improving the mechanical properties of clay... Read More about Mechanical properties and microstructure of fibre-reinforced clay blended with by-product cementitious materials.

Performance of clay stabilized by cementitious materials and inclusion of zeolite/alkaline metals-based additive (2020)
Journal Article

RoadCem (RC) is a by-product additive produced based on nanotechnology and comprises of synthetic zeolites and alkali earth metals as some of its components. The geotechnical properties of a soil stabilized by adding RC to partly replaced cementitiou... Read More about Performance of clay stabilized by cementitious materials and inclusion of zeolite/alkaline metals-based additive.

Effect of intrinsic microscopic properties and suction on swell characteristics of compacted expansive clays (2018)
Journal Article

© 2018 Elsevier Ltd The complex swelling mechanism in expansive clays during moisture ingress can be succinctly explained by an examination of their core mineralogy, microfabric, grain size and suction response. This note has attempted to investigate... Read More about Effect of intrinsic microscopic properties and suction on swell characteristics of compacted expansive clays.