Prediction of the cementing potential of activated pond ash reinforced with glass powder for soft soil strengthening, by an artificial neural network model

The effect of Pond Ash (PA) activated with sodium chloride (NaCl) solution and reinforced with glass powder on the mechanical properties of soft clay soil, which comprise of the California bearing ratio (CBR) and the unconfined compressive strength (UCS) has been studied in this research work. The PA requires pozzolanic improvements to meet the ASTM C618 requirements for pozzolanas. In the present research paper, further emphasis has been on the machine learning prediction of CBR and UCS of the soft clay soil stabilized with a composite of PA. Generally, the studied soft clay soil properties, which were the microstructure, microspecter/micrograph, oxide composition, Atterberg limits, compaction behavior, free swell index (FSI), CBR and UCS significantly improved due to the enhanced cementitious ability of the activated and reinforced PA. The multiple data collected from this general stabilization result were used to predict the soil’s CBR and UCS by the artificial neural network (ANN) technique. The results showed high performance of the model in terms of the sum of squares error (SSE) of 1.5% and 2.0% and the coefficient of determination (R2) of 0.9979 and 0.9973 for the CBR and UCS models, respectively. The models also outclassed the performances of other models from the literature.

[1]  K. Onyelowe,et al.  The net-zero and sustainability potential of SCC development, production and flowability in concrete structures , 2023, International Journal of Low-Carbon Technologies.

[2]  K. Onyelowe,et al.  Heat and mass transfer in different concrete structures: a study of self-compacting concrete and geopolymer concrete , 2023, International Journal of Low-Carbon Technologies.

[3]  Ahmed M. Ebid,et al.  Multi-Objective Prediction of the Mechanical Properties and Environmental Impact Appraisals of Self-Healing Concrete for Sustainable Structures , 2022, Sustainability.

[4]  C. Booth,et al.  Strength Predictive Modelling of Soils Treated with Calcium-Based Additives Blended with Eco-Friendly Pozzolans—A Machine Learning Approach , 2022, Materials.

[5]  D. Rambabu,et al.  Stabilization of black cotton soil with coal bottom ash , 2021, Materials Today: Proceedings.

[6]  Muhammad Shirjeel Khan,et al.  Effects of Waste Glass Powder on the Geotechnical Properties of Loose Subsoils , 2018, Civil Engineering Journal.

[7]  Arvind Kumar,et al.  Performance evaluation of cement-stabilized pond ash-rice husk ash-clay mixture as a highway construction material , 2017 .

[8]  Arvind Kumar,et al.  Strength Characterization of Cement Stabilized and Fiber Reinforced Clay–Pond Ash Mixes , 2016 .

[9]  D. P. Mishra,et al.  One-Dimensional Consolidation of Sedimented Stowed Pond Ash , 2012, Geotechnical and Geological Engineering.

[10]  B. B. Jindal Stabilisation of Silty Soil by Pond Ash, Rice Husk Ash, Cement and Phosphogypsum , 2016 .

[11]  Sarath Das,et al.  Stabilization of Pond Ash using Biopolymer , 2015 .