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Simple models for predicting cyclic behaviour of sand in quaternary alluvium

  • 3rd CAJG 2020
  • Published:
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Abstract

The quaternary alluvium deposit in the Middle Ganga Plain (MGP) consists of a thick layer of cohesionless soil. The chances of liquefaction at shallow depth in this deposit become high due to the presence of a loose state of the soil. Very few studies can be found in the literature on the large strain cyclic behaviour of soil at MGP. Therefore, this paper has been focused on modelling the cyclic behaviour of saturated cohesionless soil collected from the quaternary alluvium at the MGP. Three different comparatively simple methods using regression, statistical and neural network approaches have been adopted in this study. The feasibility of developed statistical, regression and artificial neural network model for predicting shear modulus and excess pore water pressure has been investigated. The database used for the development of these models comprises a series of 42 cyclic triaxial tests conducted for different site conditions and motion characteristics. It is observed that the neural network method can predict the nonlinear cyclic behaviour more accurately (coefficient of determination is 0.995 and 0.992, respectively, for the prediction equation of shear modulus degradation and EPWP ratio development) compared to other studied methods. Additional cyclic triaxial tests at different displacement amplitude have also been performed for different effective confining stresses. The results from these tests and some other experimental results available in the literature on different sands have been used to validate the proposed models.

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Availability of data and material

All data, models, or codes that support the findings of this study are available from the corresponding author upon reasonable request.

Code availability

No code was generated or used during the study.

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Funding

The first author acknowledges the Department of Higher Education (Government of India) for providing the funding in present research work to carry out the doctoral research study for which no specific grant number is allotted.

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Authors and Affiliations

  1. Civil Engineering Department, Indian Institute of Technology Madras, Chennai, Tamil Nadu, 600036, India

    Angshuman Das

  2. DCEE, Indian Institute of Technology Patna, Patna, Bihar, 801106, India

    Pradipta Chakrabortty

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  1. Angshuman Das
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Contributions

All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by Dr Angshuman Das and Dr Pradipta Chakrabortty. The first draft of the manuscript was written by Dr Angshuman Das, and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

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Correspondence to Angshuman Das.

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Responsible Editor: Zeynal Abiddin Erguler

This paper was selected from the 3rd Conference of the Arabian Journal of Geosciences (CAJG), Tunisia 2020.

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Das, A., Chakrabortty, P. Simple models for predicting cyclic behaviour of sand in quaternary alluvium. Arab J Geosci 15, 385 (2022). https://doi.org/10.1007/s12517-022-09639-6

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