All Outputs (6)

Evaluation of the structural performance of low carbon concrete (2022)
Journal Article
Nukah, P. D., Abbey, S. J., Booth, C. A., & Oti, J. (2022). Evaluation of the structural performance of low carbon concrete. Sustainability, 14(24), 16765. https://doi.org/10.3390/su142416765

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
Nukah, P. D., Abbey, S. J., Booth, C. A., & Nounu, G. (2022). Optimisation of embodied carbon and compressive strength in low carbon concrete. Materials, 15(23), 8673. https://doi.org/10.3390/ma15238673

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.

Performance of sustainable road pavements founded on clay subgrades treated with eco-friendly cementitious materials (2022)
Journal Article
Amakye, S. Y., Abbey, S. J., Booth, C. A., & Oti, J. (2022). Performance of sustainable road pavements founded on clay subgrades treated with eco-friendly cementitious materials. Sustainability, 14(19), 12588. https://doi.org/10.3390/su141912588

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
Eyo, E. E., Abbey, S. J., & Booth, C. A. (2022). Using Artificial Intelligence techniques to predict intrinsic compressibility characteristic of Clay. Applied Sciences, 12(19), https://doi.org/10.3390/app12199940

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.

Road pavement defect investigation using treated and untreated expansive road subgrade materials with varying plasticity index (2022)
Journal Article
Amakye, S. Y. O., Abbey, S. J., & Booth, C. A. (2022). Road pavement defect investigation using treated and untreated expansive road subgrade materials with varying plasticity index. Transportation Engineering, 9, Article 100123. https://doi.org/10.1016/j.treng.2022.100123

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
Eyo, E. U., Abbey, S. J., & Booth, C. A. (2022). Strength predictive modelling of soils treated with calcium-based additives blended with eco-friendly pozzolans—A machine learning approach. Materials, 15(13), Article 4575. https://doi.org/10.3390/ma15134575

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.