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Prediction of Shear Strength Parameters Using Multiple Regression Analysis

Surendra Roy, Ashish Kumar Prajapati, Amit Kumar Maurya

Abstract


Shear strength is a principal engineering property of soil. It controls the stability of a soil mass under structural loads and is used in design of foundation. In this study, a survey was carried out in and around the Bhauti region of Kanpur district, Uttar Pradesh and accordingly nine sampling locations was identified. All the samples were collected from a depth of 50 cm and analyzed for different geotechnical properties such as bulk density, dry density, natural moisture content, specific gravity, particle size, Atterberg’s limits and shear strength parameters (cohesion and angle of shearing resistance). Bases on particle size analysis, coefficient of uniformity and coefficient of curvature were assessed. The influence of geotechnical properties on shear strength parameters was studied. Multiple linear regression was carried out to find out the influence of index properties on shear strength parameters. Stepwise linear regression procedure was carried out to know the most influencing parameters on cohesion and angle of shearing resistance. Incorporating the selected variables, multiple regression models were developed to predict cohesion and angle of shearing resistance. The performance of these models was assessed in terms of R (coefficient of correlation), F-statistics and residual patterns. It was observed that the shear strength parameters can be predicted by using the developed models for the study area. Bearing capacity of shallow foundations of the study area was also assessed.


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References


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