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All Outputs (8)

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.