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Enhancing the engineering properties of subgrade materials using processed waste: A review (2021)
Journal Article
Amakye, S. Y., Abbey, S. J., Booth, C. A., & Mahamadu, A. (2021). Enhancing the engineering properties of subgrade materials using processed waste: A review. Geotechnics, 1(2), 307-329. https://doi.org/10.3390/geotechnics1020015

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
Eyo, E. U., Abbey, S. J., Lawrence, T. T., & Tetteh, F. K. (2022). Improved prediction of clay soil expansion using machine learning algorithms and meta-heuristic dichotomous ensemble classifiers. Geoscience Frontiers, 13(1), https://doi.org/10.1016/j.gsf.2021.101296

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.

Multiclass stand-alone and ensemble machine learning algorithms utilised to classify 1 soils based on their physicochemical characteristics (2021)
Journal Article
Abbey, S., & Eyo, E. (in press). Multiclass stand-alone and ensemble machine learning algorithms utilised to classify 1 soils based on their physicochemical characteristics. Journal of Rock Mechanics and Geotechnical Engineering, 14(2),

10 This study has provided an approach to soil classification by using the concept of machine 11 learning (ML). Multiclass elements of stand-alone ML algorithms (Logistic regression (LR) 12 and artificial neural networks (ANN)), decision tree ensembl... Read More about Multiclass stand-alone and ensemble machine learning algorithms utilised to classify 1 soils based on their physicochemical characteristics.

Results of application of artificial neural networks in predicting geo-mechanical properties of stabilised clays - A Review (2021)
Journal Article
Abbey, S. (2021). Results of application of artificial neural networks in predicting geo-mechanical properties of stabilised clays - A Review. Geotechnics, 1(1), 147-171

This study presents a literature review on the use of artificial neural networks in the prediction of geo-mechanical properties of stabilised clays. In this paper, the application of ANN in ge-otechnical analysis of clay stabilised with cement, lime,... Read More about Results of application of artificial neural networks in predicting geo-mechanical properties of stabilised clays - A Review.

Understanding the performance of expansive subgrade materials treated with non-traditional stabilisers: A review (2021)
Journal Article
Amakye, S. Y., & Abbey, S. J. (2021). Understanding the performance of expansive subgrade materials treated with non-traditional stabilisers: A review. Cleaner Engineering and Technology, 4,

13 Expansive soils are problematic soils which pose a risk to the safety of civil engineering 14 structures. These soils can be treated by compaction or by adding additives to the soil. 15 Where the strength and properties of expansive soil cannot be... Read More about Understanding the performance of expansive subgrade materials treated with non-traditional stabilisers: A review.

Inclusion of RoadCem additive in cementitious materials for soil stabilization (2021)
Journal Article
Eyo, E. U., Ng’ambi, S., & Abbey, S. J. (2021). Inclusion of RoadCem additive in cementitious materials for soil stabilization. Geotechnical Special Publications, 2021-May(GSP 324), 166-176. https://doi.org/10.1061/9780784483411.016

The use of sustainable binders in soil stabilization has dominated most discussions in geotechnical engineering in recent years. In keeping with the objective of reducing carbon foot-printing, a zeolite/alkali earth metal-based additive called “RoadC... Read More about Inclusion of RoadCem additive in cementitious materials for soil stabilization.

Machine learning regression and classification algorithms utilised for strength prediction of OPC/by-product materials improved soils (2021)
Journal Article
Eyo, E. U., & Abbey, S. J. (2021). Machine learning regression and classification algorithms utilised for strength prediction of OPC/by-product materials improved soils. Construction and Building Materials, 284, https://doi.org/10.1016/j.conbuildmat.2021.122817

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.

Consistency and mechanical properties of sustainable concrete blended with brick dust waste cementitious materials (2021)
Journal Article
Amakye, S. Y., Abbey, S. J., & Olubanwo, A. O. (2021). Consistency and mechanical properties of sustainable concrete blended with brick dust waste cementitious materials. SN Applied Sciences, 3, https://doi.org/10.1007/s42452-021-04430-w

The reuse of waste materials in civil engineering projects has become the topic for many researchers due to their economic and environmental benefits. In this study, brick dust waste (BDW) derived from cutting of masonry bricks and demolition waste w... Read More about Consistency and mechanical properties of sustainable concrete blended with brick dust waste cementitious materials.

Experimental study on the use of RoadCem blended with by-product cementitious materials for stabilisation of clay soils (2021)
Journal Article
Ngambi, S., Okeke, C. A., Eyo, E. U., & Abbey, S. (2021). Experimental study on the use of RoadCem blended with by-product cementitious materials for stabilisation of clay soils. Construction and Building Materials, 280, https://doi.org/10.1016/j.conbuildmat.2021.122476

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
Eyo, E., Abbey, S., Oti, J., Ng’ambi, S., Ganjian, E., & Coakley, E. (2021). Microstructure and physical-mechanical characteristics of treated kaolin-bentonite mixture for application in compacted liner systems. Sustainability, 13(4), https://doi.org/10.3390/su13041617

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.