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Prediction Of Compression Index For Lateritic Soil Using Transformed Variable
Abstract
The information on the compression index of a soil is vital in geotechnical design, but its determination is expensive and time consuming. Most models relating compression index and basic soil properties are usually based on soil types. This work seeks to develop a model relationship between compression index and basic soil properties for lateritic soils. Selective transformation method which involves testing some general functional forms, to choose the model that best characterizes the data relationship was adopted. Secondary soil data were obtained from existing literature on soil properties of lateritic soils. Liquid limit was adopted as the independent variable in the modeling exercise as it is easily obtained in comparison to clay content and final void ratio. The square root transformation model has both constant and coefficient terms significant at 5% level of confidence. The model performed better than other empirical models using statistical criteria. It is believed that the model will assist greatly in construction activities in areas where consolidation test equipment and trained manpower are unavailable.
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DOI: https://doi.org/10.3759/joge.v5i3.1361
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