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Appropriate Parameters for Prediction of
K. Mallikarjuna Rao Associate Professor P. V. Subba Reddy Associate Professor Ch. Sudha Rani Research Scholar, Dept of Computer Science & Engineering, | |
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ABSTRACT |
Investigations are carried out to choose appropriate parameters amongst compositional factors viz., liquid limit and plasticity index and environmental factors viz., initial moisture content and dry density for prediction of compression index. Tests were conducted on fifteen soil samples with wide ranging liquid limit, plasticity index, dry density and initial moisture content. Regression models were developed relating compression index with liquid limit, plasticity index, initial moisture content and dry density separately as well for various combinations of these four parameters. Applicability of the proposed regression models is tested by comparing predicted and observed compression index values for 180 soils test data collected from literature. Three regression models relating compression index with liquid limit, dry density and moisture content are found to be better among all the models. The effectiveness of these three models is further analyzed using statistical technique called One-Way Analysis of Variance ANOVA in short. The study revealed an effective simple regression model for prediction of compression index in terms of liquid limit and dry density.
Keywords: Compression index, Regression model, ANOVA, Prediction
