Samuel Abbey's Outputs (50)

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.

Development of a Lytag-silica fume based lightweight concrete and corresponding design equation for pure bending (2023)
Journal Article

This study presents a novel Lytag-silica fume concrete (LSFC) for structural and other construction applications. The evaluation of compressive strength development and stress strain relationships of the LSFC light weight was carried out to determine... Read More about Development of a Lytag-silica fume based lightweight concrete and corresponding design equation for pure bending.

Modified orange peel waste as a sustainable material for the adsorption of contaminants (2023)
Journal Article

World orange production is estimated at 60 million tons per annum, while the annual production of orange peel waste is 32 million tons. According to available data, the adsorption capacity of orange peel ranges from 3 mg/g to 5 mg/g, while their wate... Read More about Modified orange peel waste as a sustainable material for the adsorption of contaminants.

Behaviour and microstructural characteristics of lime-GGBS-treated kaolin clay contaminated with gypsum (2023)
Journal Article

In this experimental study, the physico-mechanical and microstructural properties of sulphate-bearing clays have been investigated. Sulphate bearing soils constituted by mixing kaolin and gypsum at 0%, 15%, 25%, and 35% gypsum contents were treated w... Read More about Behaviour and microstructural characteristics of lime-GGBS-treated kaolin clay contaminated with gypsum.

Evaluation of the structural performance of low carbon concrete (2022)
Journal Article

Evaluation of the effect of embodied carbon reduction using an optimized design section for a ground beam, use of supplementary cementitious materials, and replacement of normal aggregate with light weight aggregate on the mechanical properties of lo... Read More about Evaluation of the structural performance of low carbon concrete.

Optimisation of embodied carbon and compressive strength in low carbon concrete (2022)
Journal Article

To improve the prediction of compressive strength and embodied carbon of low carbon concrete using a program algorithm developed in MATLAB, 84 datasets of concrete mix raw materials were used. The influence of water, silica fume and ground granular b... Read More about Optimisation of embodied carbon and compressive strength in low carbon concrete.

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.

Performance of sustainable road pavements founded on clay subgrades treated with eco-friendly cementitious materials (2022)
Journal Article

Clays encountered during road construction are mostly weak and result in major pavement failures due to their low California bearing ratio (CBR) and high swelling potential. In this study, sustainable and eco-friendly waste materials including brick... Read More about Performance of sustainable road pavements founded on clay subgrades treated with eco-friendly cementitious materials.

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.

A systematic review on the effectiveness of remediation methods for oil contaminated soils (2022)
Journal Article

There is no doubt that several soil remediation methods have been applied in removing oil contaminants in the soil. Selecting an appropriate method is critical for effective cleanup of a contaminated site. The aim of this study is to review field stu... Read More about A systematic review on the effectiveness of remediation methods for oil contaminated soils.

The use of fine portions from construction and demolition waste for expansive soil stabilization: A review (2022)
Journal Article

Construction and demolition waste (CDW) are the largest waste products in the world today and competes as a viable recycled additive material in place of natural aggregates. Due to the increase in compressive strength of different mix proportions of... Read More about The use of fine portions from construction and demolition waste for expansive soil stabilization: A review.

Road pavement defect investigation using treated and untreated expansive road subgrade materials with varying plasticity index (2022)
Journal Article

Road pavement defect has been a major issue in the construction industry leading to a high cost of maintenance and sometimes a total reconstruction of the road. Expansive road subgrade materials are one of the major causes of these road defects. In t... Read More about Road pavement defect investigation using treated and untreated expansive road subgrade materials with varying plasticity index.

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.

DMRB flexible road pavement design using re-engineered expansive road subgrade materials with varying plasticity index (2022)
Journal Article

Pavement thickness is a very vital component during the design stage of a road construction project. Pavement design helps to determine the costs of the project over a certain period to ascertain how the cost of road pavement construction affect the... Read More about DMRB flexible road pavement design using re-engineered expansive road subgrade materials with varying plasticity index.

Road pavement thickness and construction depth optimization using treated and untreated artificially-synthesized expansive road subgrade materials with varying plasticity index (2022)
Journal Article

Road pavement thickness and their depth of construction take a chunk of the overall cost of road construction. This has called for a need for reduced road pavement thickness by improving the engineering properties of subgrade such as the California b... Read More about Road pavement thickness and construction depth optimization using treated and untreated artificially-synthesized expansive road subgrade materials with varying plasticity index.

Geopolymers as alternative sustainable binders for stabilisation of clays - A Review (2021)
Journal Article

The need to transit to greener options in soil stabilisation has revamped research on the use of industrial and agricultural by-products in order to cut down on the current carbon footprint from the use of ordinary Portland cement (OPC) and lime rela... Read More about Geopolymers as alternative sustainable binders for stabilisation of clays - A Review.

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.

Enhancing the engineering properties of subgrade materials using processed waste: A review (2021)
Journal Article

Subgrade materials refer to the original ground underneath a road pavement, when these materials are made up of expansive soil it is referred to as expansive subgrade. Sometimes, these materials do not have sufficient capacity to support the weight o... Read More about Enhancing the engineering properties of subgrade materials using processed waste: A review.

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.