Influence of Nano-Silica, Lime and Fly Ash on the Compaction Characteristics of an Expansive Black Cotton Soil from Central India
DOI:
https://doi.org/10.55544/jrasb.icaces.14Keywords:
black cotton soil, nano-silica, lime, fly ash, compaction, optimum moisture content, maximum dry densityAbstract
The compaction characteristics of a high-plasticity black cotton soil from Wardha district in Maharashtra were investigated after the addition of a ternary stabiliser (colloidal nano-silica, hydrated lime and class F fly ash). Each of the seven blended mixes (M1-M7) containing different amounts of nano silica (1-5%), lime (4-8%) and fly ash (10-20%) by dry mass was compared with the untreated soil using the standard proctor test; each soil mix had 5 replicate samples. The soil properties of the untreated soil were: Optimum moisture content (OMC) of 24.5% and Maximum dry density (MDD) of 1.564 g/cm³. The addition of stabiliser gave a consistent shift in the compaction curve to the left and up: the OMC decreased to as low as 19.5% while the MDD increased to 1.82 g/cm³ for the richest mix. Both the decrease in moisture requirement and the densification showed good correlation with the decrease in plasticity index caused by the cation exchange and pozzolanic flocculation. It has been found that the use of relatively small doses of nano-silica, in combination with lime and fly ash, is capable of changing the moulding properties of an otherwise difficult subgrade material that is a suitable form for field compaction.
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[1] Alshawmar, F. (2024). Utilization of nano silica and plantain leaf ash for improving strength properties of expansive soil. Sustainability, 16(5), 2157.
[2] Bell, F. G. (1996). Lime stabilization of clay minerals and soils. Engineering Geology, 42(4), 223–237.
[3] Chen, F. H. (1988). Foundations on Expansive Soils. Elsevier, Amsterdam.
[4] Eades, J. L., & Grim, R. E. (1966). A quick test to determine lime requirements for lime stabilization. Highway Research Record, 139, 61–72.
[5] Ghavami, S., & Naseri, H. (2025). Prediction of compressive strength in fine-grained soils stabilized with a combination of various stabilization agents and nano-SiO₂ using machine learning algorithms. Mathematical and Computational Applications, 30(6), 137.
[6] Goutham, D., & Krishnaiah, A. (2024). Prediction of unconfined compressive strength of expansive soil amended with bagasse ash and lime using artificial neural network. Journal of Soft Computing in Civil Engineering, 8(1), 33–54.
[7] Holtz, W. G., & Gibbs, H. J. (1956). Engineering properties of expansive clays. Transactions of the American Society of Civil Engineers, 121(1), 641–663.
[8] IS 1498: 1970. Classification and Identification of Soils for General Engineering Purposes. Bureau of Indian Standards, New Delhi.
[9] IS 2720 (Part 5): 1985. Methods of Test for Soils—Determination of Liquid and Plastic Limit. Bureau of Indian Standards, New Delhi.
[10] IS 2720 (Part 7): 1980. Methods of Test for Soils—Determination of Water Content–Dry Density Relation Using Light Compaction. Bureau of Indian Standards, New Delhi.
[11] Nelson, J. D., & Miller, D. J. (1992). Expansive Soils: Problems and Practice in Foundation and Pavement Engineering. John Wiley & Sons, New York.
[12] Phanikumar, B. R., & Sharma, R. S. (2004). Effect of fly ash on engineering properties of expansive soils. Journal of Geotechnical and Geoenvironmental Engineering, 130(7), 764–767.
[13] Sambre, T., Endait, M., & Patil, S. (2024). Sustainable soil stabilization of expansive soil subgrades through lime-fly ash admixture. Discover Civil Engineering, 1, 65.
[14] Seed, H. B., Woodward, R. J., & Lundgren, R. (1962). Prediction of swelling potential for compacted clays. Journal of the Soil Mechanics and Foundations Division, 88(SM3), 53–87.
[15] Sridharan, A., & Prakash, K. (2000). Classification procedures for expansive soils. Proceedings of the Institution of Civil Engineers—Geotechnical Engineering, 143(4), 235–240.
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