Statistical modelling for prediction of soil parameters at AIKTC, Panvel

Abstract

The purpose of this project is to investigate the behaviour of soil of our campus and to know its various parameters. For investigation, the soil sample was taken from the place where future construction is proposed. Sample collection was done using Excavator. The collected samples were classified as per IS classification system. The field moisture content of soil samples was determined using oven drying method and various other properties such as specific gravity etc. was determined. Optimum moisture content of the soil was determined using modified proctor test which was further used to determine other soil parameters such as CBR value, angle of internal friction, etc. Various soil parameters were obtained after performing laboratory experiments. Modelling of these soil parameters was done using XLSTAT software. Equations for various parameters are developed using multiple regression. Soil parameters for different depths were predicted using the models prepared.