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3D Numerical Investigation of Stone Columns Simulated in Soft Soil

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Best Practices in Geotechnical and Pavement Engineering (IACESD 2023)

Abstract

Stone columns, which are known as a ground-improvement technique, are frequently employed by geotechnical engineers to strengthen the stability of foundations, reduce differential settlement, and raise the bearing capacity of soft soil. In the current research, numerical simulations utilizing Plaxis 3D, a FEM-based program, and stone column behavior are examined. The behavior of the stone columns has been examined concerning several characteristics, such as column spacing, diameter, length, and material attributes. The load-bearing capacity of the improved ground has been analyzed both qualitative and quantitative on Plaxis 3D and comparing the results with the different level of variable such as different column diameter which includes 65, 75, and 90 mm, change in L/D  4, 5, 6, change in shear strength Cu = 7, 14, 30 kPa, change in the angle of internal friction 40°, 43°, 46°. The load bearing capacity has been found to increase by 151, 234, and 376% when change in diameter. The similar trends were noted in the case of L/D column, bearing capacity increased by 226, 230, and 234%; for shear strength 7 kPa is decreased by 57.41% and undrained shear strength of 30 kPa increased by 234% concerning clay bed respectively; for the angle of internal friction, bearing capacity is increased by 193, 234, and 284%.  The detailed analysis reveals that the stone column has a better capacity to reach the load-bearing capacity of columns.

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Correspondence to Pooja Bhatia .

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Bhatia, P., Hasan, M. (2024). 3D Numerical Investigation of Stone Columns Simulated in Soft Soil. In: Kolathayar, S., Vinod Chandra Menon, N., Sreekeshava, K.S. (eds) Best Practices in Geotechnical and Pavement Engineering. IACESD 2023. Lecture Notes in Civil Engineering, vol 449. Springer, Singapore. https://doi.org/10.1007/978-981-99-8505-0_14

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  • DOI: https://doi.org/10.1007/978-981-99-8505-0_14

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-8504-3

  • Online ISBN: 978-981-99-8505-0

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