Mathematical Model for Estimation of Shear Parameters of Alluvial Soils of Kamrup Metro District (Assam, India) from Index Properties

ABSTRACT

Projects related to Geotechnical Engineering require thorough ground study to know the soil behaviour thus making it necessary to determine the strength and stability parameters of soil. The soils of Assam are primarily of four types viz., Alluvial (old and new), Piedmont, Hill and Lateritic soils with the alluvium abundantly available in the state. The most important soil parameters are the shear strength parameters, namely, cohesion (c) and angle of internal friction (Φ) which can be obtained using triaxial tests with different drainage conditions. But one triaxial test may take weeks to complete and are very expensive. Moreover, for large projects it is practically preposterous to conduct large number of triaxial tests. Hence, an alternate way is to develop a relation between different parameters which enable us to determine others. The main objective of this study is establishing prediction models that allow the shear parameters to be predicted from soil index properties. For this, three prediction models are developed by combining various soil parameters viz., Liquid Limit (LL), Plastic Limit (PL), Specific Gravity (G) and Optimum Moisture Content (OMC) using Multivariate Regression Analysis (MRA) and Artificial Neural Network (ANN). The results show better performance for ANN than MRA.

KEYWORDS:

• Artificial neural network
• multivariate regression analysis
• index properties
• shear parameters

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data Availability Statement

All data, models, and code generated or used during the study appear in the submitted article.

Additional information

Funding

The author(s) received no financial support for the research, authorship, and/or publication of this article.

Notes on contributors

Arunav Chakraborty

Arunav Chakraborty is working as an Assistant Professor in Civil Engineering Department at Tezpur University, Assam, India. He completed his B.E. in 2010, M.E. in Geotechnical Engineering in 2012 and PhD from Gauhati University in 2019. His research interests include Landslide and Ground Improvement Techniques.

Anasuya Goswami

Anasuya Goswami is working as a Lecturer in Civil Engineering Department at Sonitpur Polytechnic, Assam, India. She completed her B.E. in 2015 and M.Tech. in Geotechnical Engineering in 2017. Currently, she is pursuing her Ph.D. from Tezpur University. Her research interests include Slope Stability and Soil Reinforcement.